European Commission

Directorate-General for Agriculture and Rural Development

RURAL DEVELOPMENT

IN THE EUROPEAN UNION

STATISTICAL AND ECONOMIC INFORMATION

Report 2006

August 2006

FOREWORD

Each year the Commission publishes an Agricultural Annual Report on the agriculturalsituation in the European Union. A large part of the report is devoted to statisticalinformation on Community agriculture. This is drawn up on the basis of information fromEurostat and data collected by the Directorate-General for Agriculture and RuralDevelopment.

Directorate-General for Agriculture and Rural Development also devotes a specialannual publication "Agriculture in the European Union - Statistical and economicinformation", separate from the Agricultural Annual Report, to a wide range of subjects,including the economic situation in agriculture, structures, trade, markets, financialaspects and rural development.

With the evolution of the Common Agricultural Policy, rural development gained inimportance and information needs have also evolved. For this reason, DG Agricultureand Rural Development has prepared a specific report aiming to provide, on a regularbasis, a comprehensive set of information on rural areas and the implementation of theEU's rural development policy.

Most of the information presented in this report can be found in existing databases andreports (Eurostat databases, European Environmental Agency databases and reports,DG AGRI statistical, monitoring and financial reports). These remain the referencesource for the relevant data.

TABLE OF CONTENTS

CHAPTER 1 – INTRODUCTION 1

1.1. Policy context 1

1.2. Data sources and issues 1

1.2.1. Limited data availability 2

1.2.2. The definition of "rural" areas 2

1.2.3. The various financial instruments funding EU-25 RD policy 3

CHAPTER 2 – SITUATION 5

2.1. Importance of rural areas 5

2.2. Socio-economic situation in rural areas 5

2.3. Sectoral economic indicators 6

2.3.1. Agriculture 6

2.3.2. Food industry 7

2.3.3. Forestry 8

2.4. Environment 8

2.5. Diversification and quality of life in rural areas 9

2.6. Implementation of Rural Development Policy 10

2.6.1. Monitoring of measures financed by the Guarantee section of EAGGFfor EU-15 10

2.6.2. Monitoring of measures financed by SAPARD 11

2.6.3. Overview of Rural development Financial Implementation 11

CHAPTER 3 STATISTICAL DESCRIPTION 15

Foreword 17

List of indicators 21

Correspondence table between the CMEF order & RD Report numbering 22

Correspondence table between the NUTS levels and the national administrativeunits 24

Correspondence table between the country codes and the country names 25

SECTION 3.1 IMPORTANCE OF RURAL AREAS 273.1.1 Designation of rural areas

3.1.2.1 Importance of rural areas - % territory in rural areas3.1.2.2 Importance of rural areas - % population in rural areas

3.1.2.3 Importance of rural areas - % GVA in rural areas

3.1.2.4 Importance of rural areas - % employment in rural areas

SECTION 3.2 SOCIO-ECONOMIC SITUATION IN RURAL AREAS 333.2.1 Population density

3.2.2 Age structure3.2.3 Economic development

3.2.4 Structure of the Economy3.2.5 Structure of Employment

3.2.6 Employment rate

3.2.7 Unemployment

3.2.8 Long-term unemployment

SECTION 3.3 SECTORAL ECONOMIC INDICATORS 493.3.1 Employment development of primary sector

3.3.2 Economic development of primary sector3.3.3 Agricultural land use

3.3.4.1 Farm structure - Number of farms

3.3.4.2 Farm structure - Utilized agricultural area3.3.4.3 Farm structure - Average area farm size and distribution

3.3.4.4 Farm structure - Average economic farm size and distribution3.3.4.5 Farm structure - Labour Force

3.3.5 Importance of semi-subsistence farming in NMS

3.3.6 Training and education in agriculture3.3.7 Age structure in agriculture

3.3.8 Labour productivity in agriculture

3.3.9 Gross fixed capital formation in agriculture3.3.10 Labour productivity in food industry

3.3.11 Gross fixed capital formation in food industry

3.3.12 Employment development in food industry3.3.13 Economic development of food industry

3.3.14.1 Forestry structure - Area of forest available for wood supply (FAWS)3.3.14.2 Forestry structure - Ownership (% area of FAWS under "eligible" ownership)

3.3.14.3 Forestry structure - Average size of private holding (FOWL)

3.3.15 Forest productivity3.3.16 Labour productivity in forestry

3.3.17 Gross fixed capital formation in forestry

SECTION 3.4 ENVIRONMENT 913.4.1 Land cover

3.4.2 Less Favoured Areas

3.4.3.1 Areas of extensive agriculture - % UAA for extensive arable crops3.4.3.2 Areas of extensive agriculture - % UAA for extensive grazing

3.4.4.1 Natura 2000 area - % territory under Natura 2000

3.4.4.2 Natura 2000 area - % UAA under Natura 20003.4.4.3 Natura 2000 area - % forest area under Natura 2000

3.4.5 Biodiversity: Population of farmland birds3.4.6 Biodiversity: High Nature Value farmland areas

3.4.7 Biodiversity: Tree species composition

3.4.8 Biodiversity: Protected forest3.4.9 Development of forest area

3.4.10 Forest ecosystem health

3.4.11 Water quality3.4.12.1 Water quality: Gross Nutrient Balances - Gross nitrogen balance

3.4.12.2 Water quality: Gross Nutrient Balances - Gross phosphorus balance3.4.13.1 Water quality: Pollution by nitrates and pesticides - Pollution by nitrates

3.4.14 Water use

3.4.15 Protective forests concerning primarily soil and water3.4.16 Soil: Areas at risk of soil erosion

3.4.17 Soil: Organic farming

3.4.18.1 Climate change: Production of renewable energy from agriculture3.4.18.2 Climate change: Production of renewable energy from forestry

3.4.19 Climate change: UAA devoted to renewable energy

3.4.20 Climate change: GHG emissions from agriculture

SECTION 3.5 DIVERSIFICATION AND QUALITY OF LIFE IN RURAL AREAS 1273.5.1 Farmers with other gainful activity

3.5.2 Employment development of non-agricultural sector3.5.3 Economic development of non-agricultural sector

3.5.4 Self-employment development

3.5.5 Tourism infrastructure in rural area

3.5.6 Internet infrastructure3.5.7 Internet take-up in rural areas

3.5.8 Development of services sector

3.5.9 Net migration3.5.10 Educational attainment

3.5.11 Life-long learning in rural areas3.5.12 Development of Local Action Groups

ANNEXES 151

ANNEX 3.A - Glossary of Terms & Definitions 153

ANNEX 3.B - Main Sources 159

ANNEX 3.C - Technical Annex 163

Objective related Baseline Indicators 163

Context related Baseline Indicators 177

ANNEX 3.D OBJECTIVE-RELATED BASELINE INDICATORS DATA ATREGIONAL LEVEL 191

ANNEX 3.D.a OBJECTIVE-RELATED BASELINE INDICATORS DATAAT NUTS 2 & 3 LEVELS 195

ANNEX 3.D.b OBJECTIVE-RELATED BASELINE INDICATORS DATAAT FSS REGION & DISTRICT LEVELS 289

CHAPTER 4 IMPLEMENTATION OF RURAL DEVELOPMENT POLICY 319

Foreword 321

List of Tables 322

SECTION 4.1 RURAL DEVELOPMENT MEASURES MONITORING INDICATORS 323

SECTION 4.1.1 EAGGF GUARANTEE RURAL DEVELOPMENT MEASURESMONITORING FOR EU-15 325

4.1.1.1 Overview of Rural Development Measures implemented by Member States in 20034.1.1.2 Rural Development Public Expenditure Committed by Measure4.1.1.3 Rural Development Public Expenditure Committed by Member State4.1.1.4 Measure for Investment in Agricultural Holdings4.1.1.5 Measure for Setting-up of Young Farmers4.1.1.6 Measure for Training4.1.1.7 Measure for Early Retirement4.1.1.8 Measure for Less Favoured Areas4.1.1.9 Measure for Areas with Environmental Restrictions4.1.1.10 Measures for Agri-Environment - Crops4.1.1.11 Measures for Agri-Environment - Breeds in Danger of being Lost to Farming4.1.1.12 Measure for Improving Processing and Marketing of Agricultural Products4.1.1.13 Measure for Afforestation: Establishment Costs4.1.1.14 Measure for Afforestation: Maintenance Costs and Income Loss4.1.1.15 Other Forestry Measures4.1.1.16 Measures for Promoting the Adaptation and Development of Rural Areas4.1.1.17 Measures for Promoting the Adaptation and Development of Rural Areas - Land Improvement4.1.1.18 Measures for Promoting the Adaptation and Development of Rural Areas - Reparcelling4.1.1.19

4.1.1.204.1.1.214.1.1.22

4.1.1.23

4.1.1.24 Measures for Promoting the Adaptation and Development of Rural Areas - Agricultural Water Resources Management

Measures for Promoting the Adaptation and Development of Rural Areas - Setting-up of Farm Relief and Farm ManagementServicesMeasures for Promoting the Adaptation and Development of Rural Areas - Marketing of Quality Agricultural ProductsMeasures for Promoting the Adaptation and Development of Rural Areas - Basic Services for the Rural Economy and PopulationMeasures for Promoting the Adaptation and Development of Rural Areas - Renovation and Development of Villages andProtection and Conservation of the Rural HeritageMeasures for Promoting the Adaptation and Development of Rural Areas - Diversification of Agricultural Activities and ActivitiesClose to Agriculture to provide Multiple Activities or Alternative Incomes

4.1.1.25

4.1.1.26 Measures for Promoting the Adaptation and Development of Rural Areas - Encouragement for Tourist and Craft Activities4.1.1.27

4.1.1.28

4.1.1.29 Measures for Promoting the Adaptation and Development of Rural Areas - Financial Engineering

Measures for Promoting the Adaptation and Development of Rural Areas - Protection of the Environment in connection withagriculture, forestry and landscape conservation as well as the Improvement of Animal WelfareMeasures for Promoting the Adaptation and Development of Rural Areas - Restoring Agricultural Production Potential damaged byNatural Disasters and Introducing appropriate Prevention Instruments

Measures for Promoting the Adaptation and Development of Rural Areas - Development and Improvement of Infrastructureconnected with the Development of Agriculture

SECTION 4.1.2 SPECIAL ACCESSION PROGRAMME FOR AGRICULTUREAND RURAL DEVELOPMENT MEASURES MONITORING FOR NMS-8& ACCESSION COUNTRIES 343

4.1.2.1 SAPARD Expenditure by Measure for NMS-8, Bulgaria and Rom ania4.1.2.2 SAPARD Expenditure by Country for NMS-8, Bulgaria and Rom ania4.1.2.3 SAPARD Financial Allocation & Contribution in the Czech Republic4.1.2.4 SAPARD Financial Allocation & Contribution in Estonia4.1.2.5 SAPARD Financial Allocation & Contribution in Latvia4.1.2.6 SAPARD Financial Allocation & Contribution in Lithuania4.1.2.7 SAPARD Financial Allocation & Contribution in Hungary4.1.2.8 SAPARD Financial Allocation & Contribution in Poland4.1.2.9 SAPARD Financial Allocation & Contribution in Slovenia4.1.2.10 SAPARD Financial Allocation & Contribution in Slovakia4.1.2.11 SAPARD Financial Allocation & Contribution in Bulgaria4.1.2.12 SAPARD Financial Allocation & Contribution in Romania

SECTION 4.2 RURAL DEVELOPMENT BUDGET EXPENDITURE MONITORING 351

SECTION 4.2.1 OVERVIEW OF RURAL DEVELOPMENT FINANCIALIMPLEMENTATION 353

Section 4.2.1.1 – GENERAL OVERVIEW 3544.2.1.1.1 Rural Development Financial Plan and Budget Expenditures by Type of Instrument, EU274.2.1.1.2 Rural Development Financial plan, Summary Table by Country, Type of Instrument and Year, EU274.2.1.1.3.i Rural Development Expenditure, Summary Table by Country, Type of Instrument and Year, EU274.2.1.1.3.ii Rural Development Expenditure, 2000-2005, by Type of Instrument, EU27

Section 4.2.1.2 – EAGGF GUIDANCE 3614.2.1.2.1 EAGGF Guidance Financial Plan by Member State, EU154.2.1.2.2 EAGGF Guidance Expenditure by Member State, EU154.2.1.2.3 EAGGF-Guidance Financial Plan and Expenditure by Member State and Objective - EU154.2.1.2.4 EAGGF-Guidance Financial Plan and Expenditure by Mem ber State and Objective - NMS104.2.1.2.5 EAGGF-Guidance and TRDI Financial Plan by Mem ber State, NMS104.2.1.2.6 EAGGF-Guidance and TRDI Expenditure by Member State

Section 4.2.1.3 – EAGGF GUARANTEE 3644.2.1.3.1 EAGGF-Guarantee Financial Plan by Member State4.2.1.3.2 EAGGF-Guarantee Expenditure by Mem ber State4.2.1.3.3 EAGGF-Guarantee Expenditure by Member State & by Measure4.2.1.3.4 EAGGF-Guarantee Expenditure in EU-15 by Measure

Section 4.2.1.4 – SAPARD 3754.2.1.4.1 SAPARD Financial Plan by Country4.2.1.4.2 SAPARD Expenditure by Country4.2.1.4.3 SAPARD Financial Plan by Measure - NMS-84.2.1.4.4 SAPARD - EU Contribution as com mitted by Country , by Meas ure, NMS-84.2.1.4.5 SAPARD Financial Plan and EU Contribution as committed by Country, by Measure - Accession Countries

SECTION 4.2.2 FINANCIAL IMPLEMENTATION OF EAGGF-GUARANTEEBY MEASURE 383

4.2.2.1 Measure for Investment in Agricultural Holdings4.2.2.2 Measure for Setting-up of Young Farmers4.2.2.3 Measure for Training4.2.2.4 Measure for Early Retirement

4.2.2.5 Measure for Less Favoured Areas4.2.2.6 Agri-Environmental Measures4.2.2.7 Measure for improving Processing and Marketing of Agricultural Products

4.2.2.8 Forestry Measures4.2.2.9 Measures for Encouragement of Adaptation / Development of Rural Areas

SECTION 4.2.3 FINANCIAL IMPLEMENTATION OF EAGGF-GUARANTEEBY MEMBER STATE 393

4.2.3.1 Rural Development Expenditure in the EU-154.2.3.2 Rural Development Expenditure in Belgium4.2.3.3 Rural Development Expenditure in Denmark4.2.3.4 Rural Development Expenditure in Germany4.2.3.5 Rural Development Expenditure in Greece4.2.3.6 Rural Development Expenditure in Spain4.2.3.7 Rural Development Expenditure in France4.2.3.8 Rural Development Expenditure in Ireland4.2.3.9 Rural Development Expenditure in Italy4.2.3.10 Rural Development Expenditure in Luxembourg4.2.3.11 Rural Development Expenditure in the Netherlands4.2.3.12 Rural Development Expenditure in Austria4.2.3.13 Rural Development Expenditure in Portugal4.2.3.14 Rural Development Expenditure in Finland4.2.3.15 Rural Development Expenditure in Sweden4.2.3.16 Rural Development Expenditure in the United Kingdom

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CHAPTER 1 – INTRODUCTION

1.1. Policy context

Rural development policy seeks to establish a coherent and sustainable framework for the future of Europe's rural areas.

In its early days, rural development policy was essentially sectoral (dealing mainly with agricultural structures) with limited territorial aspects.

Agenda 2000 established rural development policy as the second pillar of the EU's Common Agricultural Policy and brought rural development under a single regulation to apply across the whole of the European Union for the period 2000-2006. Besides agricultural restructuring, it addressed environmental concerns and the wider needs of rural areas.

The guiding principles are those of decentralisation of responsibilities - thus strengthening subsidiarity and partnership - and flexibility of programming based on a 'menu' of 22 measures (extended to 26 with the mid-term review of the CAP) to be targeted and implemented according to Member States' specific needs.

As a coherent package of measures it has three main objectives:

(1) To create a stronger agricultural and forestry sector, the latter recognised for the first time as an integral part of the rural development policy;

(2) To improve the competitiveness of rural areas;

(3) To maintain the environment and preserve Europe's rural heritage.

In 2003, the mid-term review of the CAP added new measures to promote quality and animal welfare, and help for farmers to meet new EU standards. It also led to a strengthening of rural development policy via the provision of more EU money for rural development through a reduction in direct payments (‘modulation’) for bigger farms.

In September 2005, the Council of Ministers adopted a Rural Development regulation for the period 2007-2013. Rural Development will be implemented through one fund, one management and control system and one type of programming. The aims of the policy have been simplified and clarified around three clearly defined economic, environmental and territorial objectives:

(1) improving the competitiveness of agriculture and forestry;

(2) improving the environment and the countryside;

(3) improving the quality of life in rural areas and encouraging diversification of economic activity.

1.2. Data sources and issues

Most of the information presented in this report can already be found in various sources and documents (Eurostat databases, European Environmental Agency, DG AGRI statistical and financial reports), but has been compiled in a structured way for the first time in a single document.

This report contains in general two types of information:

(1) statistical and scientific information on the main features of rural areas,

(2) administrative information on the status of the implementation of Rural Development Policy (physical and financial monitoring of the measures).

2

In order to ensure the highest relevance of the data to current issues in rural development, priority has been given to the set of common "baseline" indicators which has been proposed in the context of the Common Monitoring and Evaluation Framework (CMEF) for Rural Development Programs 2007-2013.

Three important data issues need to be mentioned:

(1) Weaknesses concerning the data availability,

(2) The absence of a common fully satisfactory definition of "rural" areas,

(3) The complexity of reporting the implementation due to the various financial instruments funding EU-25 RD policy.

1.2.1. Limited data availability

– For rural development analysis, there is a need for a detailed geographical breakdown. This is obvious for the environmental aspects but is also necessary for the diversification and the quality of life in local economies. However, it should be stressed that the purpose of the information presented in this report is not to monitor, for example, the specific environmental situation in a particular area or the socio-economic development in a particular village, but rather to assess overall trends and diversity of situations.

– The need for detailed geographical breakdown has a secondary effect on the availability of time series as the delineation of many geographical units has evolved over times (e.g. some regions have been merged or split, or their boundaries have been modified). Building time series with a detailed geographical breakdown is therefore very resource intensive. In this first report, only a picture for a "central year" at EU-25 level is given.

– Before the work began in the context of the Common Monitoring and Evaluation Framework (CMEF) for Rural Development programs 2007-2013, there was no clear list and definitions of common RD baseline indicators1. As a consequence, some variables are/were not collected, or at least not in a systematic way. However, it should be stressed that the baseline indicators of CMEF for rural development 2007-2013 have been developed in an operational context, based largely on data availability (even if sometimes limited). Therefore, the list of selected indicators benefited from existing or ongoing work. For instance, environment indicators are largely based on the IRENA project which aimed to develop agri-environmental indicators. Some other indicators have been extracted from the lists of Structural Indicators or Sustainable Development Indicators developed by Eurostat.

– For some of the issues concerned, the data sources are not statistical series but the results of modelling or mapping techniques. Results are therefore closely linked to the methodology applied.

1.2.2. The definition of "rural" areas

Although "rural" areas have been analysed in many countries for decades, there is no single commonly internationally accepted definition. The main reasons are as follows:

(1) the various perceptions of what is (and what is not) rural and of the elements characterizing "rurality" (natural, economic, cultural, etc),

(2) the inherent need to have a tailor-made definition according to the "object" analysed or policy concerned,

(3) the difficulty to collect relevant data at the level of basic geographical units (administrative unit, grid cell, plot, etc).

1 The "PAIS" project supported by Eurostat provided the first elements to develop RD indicators.

3

For statistical reporting, whatever the methodology adopted, the determining factor is the availability of statistics for the selected regional units. For the EU, it implies that the methodology must be able to define the "rural" character of the NUTS regions as most socio-economic data are usually only available at this level.

The Commission has consistently used the OECD methodology, e.g. in the Strategic Guidelines for RDP 2007-2013 and therefore this report defines rural areas using the OECD methodology. Furthermore, this is the most widely used approach (see Box 1). However, it should be noticed that the results of this methodology are sometimes considered as imperfectly reflecting the rural character of areas, particularly in densely populated regions2.

1.2.3. The various financial instruments funding EU-25 RD policy

Due to the evolution of policy needs concerning rural development and to the enlargement of the European Union, rural development policy has been implemented through different financial instruments over the period 2000-2006 (see an overview in Box 2).

As the monitoring and financial information available for these various instruments are different, it is not possible to describe in a unified manner the implementation of RD policy.

For this first report, it has not been possible to consolidate all the information from the different instruments to give an EU-25 global picture for all aspects. A first part provides information on the monitoring of the measures funded by the Guarantee section of EAGGF for EU-15 in 2003, as very detailed information is available. It also gives some information from the monitoring of SAPARD over the period 2001-2003. A second part is dedicated to the financial implementation of the various instruments over the period 2000-2005.

2 For this reason, several initiatives have been launched in the European Commission (Eurostat, Joint

Research Centres, DG Regional Policy, DG Agriculture and Rural Development) with a view to develop an alternative methodology.

Box 1: OECD methodology to define in rural areas

The OECD methodology is based on population density (OECD, Creating rural indicators for shaping territorial policy, Paris, 1994).

It is based on a two-step approach :

First, local units (e.g. municipalities) are identified as rural if their population density is below 150 inhabitants per square kilometre.

Then, regions (e.g. NUTS 3 or NUTS 2), are classified in one of the 3 categories:

• Predominantly Rural region (PR) : if more than 50% of the population of the region is living in rural communes (with less than 150 inhabitants / km2)

• Intermediate Region (IR) : if 15% to 50% of the population of the region is living in rural local units

• Predominantly Urban region (PU) : if less than 15% of the population of the region is living in rural local units.

Characterisation of the rural character at regional level, where most of the statistics are available, allows drawing easily a picture of the different types of areas at national level.

As for the first step, the method requires information on population and areas at local level, the characterisation can only be made with a long periodicity (in general every 10 years when a population census is made).

The OECD methodology is the only definition of rural areas internationally recognised. However, the results of this methodology are sometimes considered as imperfectly reflecting the rural character of areas, particularly in densely populated regions. The methodology is therefore sometimes adapted or replaced by another approach

4

Box 2: Community funding rural development For the period 2004-2006 - EU-25

Source: DG AGRI (2003) - Fact Sheet Rural Development in the European Union ------------------------------------------------------------------------------------------------------------------- For the period 2000-2006:

2000-2003 2004-2006

Outside Objective 1

Outside Objective 1 TRDI

TRDI

EAGGF Guidance

Outside Objective 1 TRDI

TRDI

EAGGF Guidance

BG & RO

Leader+ (programmes/measures) are funded everywhere by EAGGF Guidance

EAGGF Guarantee for all measures (excl. Leader+)

EAGGF Guarantee

EAGGF Guidance

8 other NMS

In Objective 1

EU-15

CY & MT

In Objective 1

SAPARD

SAPARD

In Objective 1

EAGGF: European Agricultural Guidance and Guarantee Fund SAPARD: Special Pre-accession Programme for Agriculture and Rural Development

5

CHAPTER 2 – SITUATION

2.1. Importance of rural areas (tables & maps/graphs 3.1.2.1 to 3.1.2.4)

In the EU-25 rural areas (predominantly rural and intermediate regions) represent 92% of the territory and 56% of the population. The corresponding shares for predominantly rural areas are 56% of the territory and 19% of the population. Rural areas are therefore particularly important in terms of territory. Among the Member States, the importance of rural areas varies from the more "Urban"1 ones (BE, NL, MT) to the more "Rural"2 ones (IE, SE, FI, SI) along a continuum where Intermediate Regions can play a major role (CZ, EE, CY, LU, SK).

Even if economic activity tends to be concentrated in more urban areas, rural areas generate 45% of the Gross Value Added (GVA) in EU-25 and provide 51% of the employment, these shares being larger in the new Member States and in Bulgaria and Romania.

2.2. Socio-economic situation in rural areas (tables & maps/graphs 3.2.1 to 3.2.8)

In most rural areas, a first characteristic is the low level of concentration of the population: at EU-25 level, population density varies from 38 inhabitants/km² in predominantly rural areas to 632 inhabitants/km² in predominantly urban areas. This range is of course even larger when looking at national or regional levels.

At EU-25 level, the age structure of the population does not vary significantly between different types of areas, even if the proportion of old people (65 years old and more) is often slightly higher in predominantly rural areas. It seems that age structure is more influenced by differences in demography between MS. For instance, in rural areas, there is generally a larger proportion of old people in EU-15 whereas there are relatively more young people (less than 15 years old) in the New MS. In the New MS, the share of population between 15 and 64 years old is also significantly higher in urban areas.

At EU-25 level, the income per habitant is around a quarter less in rural areas and generally increases with a higher urban character3. The situation is accentuated in the New MS as the general level of income is about half of the EU-25 average.

The primary sector still plays an important role in the economy of the rural areas in EU-25, more in terms of employment (13%) than in terms of value added (5%). This situation is more marked in the New MS, with the corresponding shares standing at 22% and 7% respectively. In general, even in rural areas, the majority of the economic activity depends on the service sector.

The employment rate is slightly lower in rural areas for EU-25 as a whole (61% against 63% for all areas). However, this is not a systematic feature at MS level4. With a few exceptions, the unemployment rate (including long-term unemployment) is in general lower in urban areas than in rural areas, whereas the opposite situation is observed in

1 With more than half of the territory and of the population in Predominantly Urban regions. 2 With more than half of the territory and of the population in Predominantly Rural regions. 3 With the noticeable exception of Estonia. This result is influenced by the statistical measurement as the

GDP is evaluated in the place of work and not in the place of residence. 4 Due to data availability, this indicator and the following one related to long term unemployment (and

unemployment rate in some cases) are evaluated at NUTS-2 level which only enable to provide a rough delineation of rural areas.

6

EE, DE, FR, LV and PT where the unemployment rate is lower in predominantly rural areas.

2.3. Sectoral economic indicators (tables & maps/graphs 3.3.1 to 3.3.2)

With around 9.8 mio persons employed in 2002 in EU-25, the primary sector represented an important part of the EU economy in terms of employment: 5% for EU-25, 12% on average in the New MS (18% in Lithuania and Poland), more than one quarter in Bulgaria and more than one third in Romania.

In EU-25 the primary sector (agriculture, hunting, forestry and fishing) reached around 185 bio euros in 2002 and accounted for 2% of GDP, ranging from 0.6% in Luxemburg to 7% in Greece and Lithuania. It even reached 12% of GDP in Bulgaria and 17% in Romania.

The primary sector represents a more important part of the economy in rural areas than in more urban areas: 13% of employment and 5% of GDP in rural areas at EU-25 level.

2.3.1. Agriculture (tables & maps/graphs 3.3.3 to 3.3.8)

In 2003, agriculture utilised 156 mio ha in EU-25 of which 60% were dedicated to arable crops, 33% to permanent pastures and 7% to permanent crops. As the distribution depends mainly on natural conditions, there are major variations between (and generally inside) Member States. Typical examples are the importance of permanent crops (vineyards, olive trees) in dry areas of Mediterranean countries (e.g. EL, CY, IT, PT, ES) or the major share of permanent pastures in mountain or rainy areas (e.g. IE, UK, SI, AT, LU, NL).

In EU-25, 88% of the 9.9 mio farms and 89% of agricultural area lie in rural areas (in predominantly rural areas: 33% of farms and 23% of agricultural area). It means that in some MS (BE, NL, MT but also UK, IT, DE, ES), a significant part of agricultural activities still takes place in areas designated as "urban", highlighting the role of peri-urban areas.

The average EU-25 farm size is 16 hectares with important variations between MS. In general, farm sizes are higher than the average in EU-15 (with the exception of EL, IT and PT) and lower in the New MS (with the exception of CZ, EE and SK).

Variations in structure are also important between regions of the same MS (e.g. in PT) and within some regions (e.g. in most Greek regions).

Variations between MS and regions are even greater when measuring the economic size5 of farms: on average, the economic size of farms in the New Member States is six times lower than in EU-15 (the Czech Republic is the only New Member State above the EU-25 average economic size)6.

In general, the physical size of farms increases as areas become more rural, reflecting the lower demand of land for other activities. Agriculture is often based on more extensive farms in rural areas as, in most cases, the economic size of farms is lower in rural areas.

5 The economic size is measured by the potential gross value added which takes into account the type of

production and the average yields and prices at regional level (European Size Unit). 6 It should be noticed that the economic size is measured in euros. Variations would be attenuated when

using another currency unit such as the purchasing power parities which take into account the cost of living.

7

The total labour force in agriculture represents around 9.9 mio annual work units for EU-25, more than 85% of which work in rural areas.

If the basic feature of agriculture in the EU is family farming with 1 to 1.5 full-time jobs, holdings with high labour force requirements are more common in some Member State.

Very small farms that could be considered as based on semi-subsistence activities are very important in some Member State, particularly in the New Member State. In several of these, half of the farms have a potential gross value added per year of less than 1 200 euros (i.e. with an economic size of less than 1 European Size Unit)7.

Only 17% of farmers in the EU-15 have a basic or full training in agriculture, ranging from 3% in Greece to 64% in The Netherlands.

At EU-25 level there is approximately 1 farmer less than 35 years old for each 5 farmers of more than 55 years. In some Member States (Portugal, Italy, United-Kingdom, Slovenia), the proportion of "young" farmers is very low (less than 1 "young" farmer for every 10 "older" farmers) whereas in some others (Poland, Germany, Austria) there is around 1 "young" farmer for every 2 "older" farmers). What appears as a general pattern in all Member State is an increasing share of "young" farmers the higher the rural character of the areas.

The labour productivity of farming8 differs considerably across the EU, particularly between the old and the New Member States. On average, for the period 2002-2004, labour productivity in the EU-15 was around 50% higher than the EU-25 level, whereas it was five times lower in the New Member States.

For EU-15, the sectors with the highest labour productivity appeared to be the pigs and poultry sector and the cereals sector. At the other extreme of the spectrum, permanent crops activity seemed to be the least productive (73% of the average productivity of EU-15 and below the national average in all Member States). The grazing livestock sector and horticulture stand in between, with high variations due to the variety of undertakings (e.g. milk, beef or sheep and goat production).

Gross Fixed Capital Formation in EU-25 reached 44 bio euros in 2003, of which 95% took place in the EU-15. The rate of investment, measured by the ratio between the Gross Fixed Capital Formation and the Gross Value Added, was on average close to 28% for the EU-15 and for the New Member States. It varied between 13% in Spain and 84% in Luxembourg. Among the New Member States, high rates (above 40%) are observed in Latvia, Lithuania, Hungary and Slovenia.

2.3.2. Food industry (tables & maps/graphs 3.3.9 to 3.3.13)

The food industry represents an important part of the EU economy accounting for 4.6 mio jobs (2.3% of total employment) and 2.2% of GDP for EU-25. It is relatively particularly important in Ireland, the Czech Republic and Hungary.

The rate of investment, measured by the ratio between Gross Fixed Capital Formation and Gross Value Added, is particularly high in Portugal and Slovakia (>30%).

Labour productivity is difficult to measure in the food industry as there is limited information concerning the labour force, due to the importance of seasonal or part-time

7 This information should be used with cautious as it is very sensitive to the definition of a farm and to the

threshold of the survey adopted by the Member States. It explains the high proportion of very small farms recorded in UK in the Farm Structure Survey 2003 for which the national authorities decided to cover all farms left outside the field of observation in the previous surveys.

8 Measured by the Gross Value Added at basic prices per Annual Work Unit.

8

employment in this sector. The estimate for EU-15 is around 50 thousands euros per person employed.

2.3.3. Forestry (tables & maps/graphs 3.3.14 to 3.3.17)

In the EU-25 the forest available for wood supply covers around 117 mio ha. Whereas it represents 73% of the total forest area for EU-25, the share of productive forest is much lower in Mediterranean countries. Around 65% of this forest belongs to private owners, this part being in general lower in the new Member States. In most Member States, the average size of the forest owned by private owners is low (for instance lower than the average farm size). Forest productivity varies significantly among Member States, from 1.0 thousands m³/year/ha in Cyprus to 8.8 thousands in Germany (4.9 thousands for EU-25). Due to the relatively low importance of the forestry sector in some Member States, the economic information is very limited in many of them.

Based on the available information, one could estimate that Gross Fixed Capital Formation in the EU forestry sector reached around 1.9 bio euros per year in the period 2000-2004, i.e. around 19% of the GVA of the sector.

Due to the same difficulty to that of the food industry, labour productivity is difficult to measure in the forestry sector. The estimate for EU is around 38 thousands euros per person employed.

2.4. Environment (tables & maps/graphs 3.4.1 to 3.4.20)

Agriculture and forestry represent 78% of land use in the EU-25, ranging from 50% in Malta to 95% in Poland. In the Mediterranean countries, the British Islands and Scandinavia, natural areas also cover a large part of the territory. Artificial areas represent a significant part of the territory only in Malta, Belgium and The Netherlands. Agriculture and forestry therefore play a major role for the environment and landscapes in Europe.

A considerable part of the agriculture area is located in regions where conditions are difficult for this activity, for instance in mountains. Extensive farming covers at least 10% of area for arable crops and 21% of area for grazing animals in EU-25. It is estimated that high nature value farming systems cover more than 10% of agricultural area in most Member States (even more than 30% in some of them9).

The implementation of Natura 2000 has represented a significant contribution to the preservation of the biodiversity. The designated sites cover around 12% of agricultural area of the EU-15 and even more than 20% in five Member States.

Natura 2000 sites also cover 12% of forestry area that also contributes to the biodiversity, particularly in mixed broadleaved-coniferous forest (around 15% of forest and other wooded land in EU-25). Taking into account other programmes to protect forestry, around 17% of EU-25 forestry area is covered by environment protection schemes. This share even reaches 63% in Germany.

However, a decline in the population of farmland birds, largely attributed to intensive farming10, is observed in most Member States even if it seems to have slowed down at EU level over the last years.

9 The concept of High Nature Value Farmland is still under development by the EEA and the JRC-Ispra.

The current methodology is not fully satisfactory in some Member States (e.g. Finland) which therefore often prefer to use national definitions.

10 Attention should be given to long-term trends as short-term variations are mainly influenced by weather conditions.

9

Defoliation of trees also reveals the strong environmental pressure on the forestry ecosystem (24% of sample trees at EU-25 level in 2004). The phenomenon is particularly important in the Czech Republic, Italy, Poland, France and Germany. However forestry area in EU-25 increased by around 450 000 hectares per year between 2000 and 2005, the largest increases having taken place in Spain and Italy.

Even if several human activities influence water quality, agriculture plays an important role for some of its features. Concentration of nitrates in surface water decreased over the last years in most Member States even if significant surpluses of nutrients (+89 kg/ha for Nitrogen and +13 kg/ha for Phosphorus at EU level and much more in some Member States) reveal that farming practices are still too intensive. The pressure from agriculture on water use is also critical in some regions of the European Union as, for instance, the share of irrigated area can be higher than a quarter of the agricultural area.

Soil erosion persists in many areas as it is estimated that a soil loss by running water can amount to more than 2 tons/ha/year. However, an increasing part of agricultural area is devoted to organic production. For the whole EU-25, organic area was almost 5.9 mio ha in 2003, i.e. 3.8% of the agricultural area. This share was even higher than 10% in several regions of the Union.

With 468 mio t of CO2 equivalents, agriculture produced 9.5% of the EU emissions of greenhouse gases in 2003. However, with a production of renewable resources of 2 mio t of oil equivalent in 2004 (and an area of more than 1.3 mio ha), EU agriculture also contributes increasingly to the mitigation of climate change11.

2.5. Diversification and quality of life in rural areas (tables & maps/graphs 3.5.1 to 3.5.12)

The diversification of the economy of rural areas to other sectors than agriculture is progressing:

• 31% of European farmers have another gainful activity than agriculture, this percentage being even higher than 50% in many countries and regions (particularly in Slovenia, Sweden, Cyprus, Malta and Germany);

• 87% of employment and 95% of value added in predominantly rural areas of EU-25 comes from the non-agricultural sectors.

One of the key opportunities in terms of potential growth for rural areas comes from tourism. With three quarters of bed places in EU-25 in rural areas, this sector already plays a major role in most of them.

Due to their rural amenities, rural areas are attractive as a place to live, even if remoteness and peripherality remain a major problem in some of them. However, some aspects of quality of life need to be improved in many rural areas. For instance, broadband internet infrastructure and take-up by population are significantly lower than in urban areas.

The development of services is also lower in the rural areas of many Member States: at EU-25 level, services represent 63% of the economic activity in predominantly rural areas in comparison with 74% in predominantly urban areas.

The net migration rate is a good indicator to measure the global attractiveness of an area. It is often lower in predominantly rural areas (+2.7 % for EU-25) than in predominantly urban areas (+4.8 % for EU-25). This information should obviously be analysed with care as other factors, such as more favourable climatic conditions, can play a major role in the decision of people to go and live in another place.

11 Even if this quantity may seem limited in comparison with the 54 mio t of oil equivalent produced by

forestry in 2003.

10

Human potential is a key factor for the development of rural areas. In the EU-25, 70% of adults have reached a medium or high education level. There are however large variations among Member States (from 23% to 89%). In many countries the level of education is lower in rural areas than in urban areas, even if this pattern is not systematic.

Life-long learning is a good instrument to improve the skills of workers and favour economic development, particularly in rural areas. It is already largely applied in Scandinavian countries and the United Kingdom where more than 20% of adults participated in life-long training in 2004.

The dynamism of population and their willingness to be actors for their development is also essential. LEADER actions cover 14% of the EU-15 population and more than 20% in some Member States (such as Ireland, Portugal, Luxemburg, Austria, Greece and Finland).

2.6. Implementation of Rural Development Policy

2.6.1. Monitoring of measures financed by the Guarantee section of EAGGF for EU-15 (tables 4.1.1.1 to 4.1.1.29)

Council regulation 1257/1999 proposes a menu of 22 measures that can be implemented by Member States in their Rural Development Programs. The only compulsory measure concerns the agri-environment. Some measures may be proposed by Member States but are not implemented or at least not from the beginning of the programming period.

In 2003, the only measure proposed by all Member States (except the compulsory one concerning agri-environment) was the support in "Less-Favoured Areas". Other measures largely implemented were "Afforestation", "Other forestry measures", "Investments in agricultural holdings", "Training", "Renovation and development of villages" and "Diversification of agricultural activities". The less successful measures were "Financial engineering", "Restoring of agricultural potential" and "Areas with environmental restrictions".

Whereas some Member States (Germany, Italy, Spain and France) propose more or less the full menu and some Member States only very few of them (Portugal, Greece and Ireland)12, most of Member States have selected at least 2/3 of all the measures.

Rural Development is a policy co-financed by EU and the Member States. In 2003, the share of national contributions to the total public expenditures reached 55%. National contribution varied from less than 25% in Portugal to more than 70% in Luxemburg and Greece.

In 2003, more than 168 000 contracts concerned measures for structural actions and improvement of the competitiveness of agricultural sector, mainly for investments in agricultural holdings and early retirement schemes. The average amounts of individual contracts varied largely between measures and between Member States. The highest amounts of total public expenditure (several hundreds of thousands of euros) were related to non individual infrastructures such as water management, restoring of agricultural potential and preventing for natural damages, financial engineering and transformation and marketing of agricultural products. For other measures like investment in agricultural holdings, training and early retirement schemes, individual amounts were generally no more than several thousands of euros.

12 Greece and Portugal may have implemented other measures in the Objective 1 program under EAGGF

Guarantee.

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The measures aiming to improve the environment through land management were implemented through more than 2.7 mio contracts in 2003. The most popular are "agri-environment" (1.7 mio) and "less-favoured areas" (0.9 mio). The average amounts of total public expenditure are limited to a few hundreds or thousands euros. Around 31.2 mio ha are benefiting from LFA support. It may appear limited as compared to an estimate of 78.4 mio ha potentially eligible. The total arable crops area covered by agri-environment schemes reached 35.5 mio ha in 2003. It is the "supported" area meaning that the same hectare is counted as many times as it benefits from different agri-environment schemes. It reveals a high success as the total arable area was around 71.5 mio ha in the EU-15 during the same year.

The measures specifically dedicated to improve the local rural economy and quality of life were implemented through around 48 000 contracts. The average amount of total public expenditure is generally limited (a few thousands euros) for the diversification of agricultural activities as it concerns individual farm households (28 000 in 2003). Average amounts are much higher for common actions such as village renovation and provision of basic services and also for the development of tourism and handicraft activities. It should be noticed that these actions seems more targeted and of higher amounts in The Netherlands.

2.6.2. Monitoring of measures financed by SAPARD (tables 4.1.2.1 to 4.1.2.12)

SAPARD proposes 12 measures (plus a 13th measure on water resources management introduced recently). Over the period 2000-2005, more than 38 000 projects have been introduced.

Out of the 12 measures available in 2000-2003, Czech Republic and Slovakia proposed 10 measures and other Member States around 6. Bulgaria and Romania selected 11 measures out of the 13 available.

Four measures are implemented in all Member States: investment in agricultural holdings, processing and marketing of agricultural & fishery products, diversification of activities and rural infrastructure. The less successful measures, implemented in only 2 or 3 Member States are "structures for quality, veterinary controls etc" and "setting-up of producer groups".

More than half of the projects concern the investment in agricultural holdings, the 2 other more successful measures being the diversification of activities and the support to rural infrastructure (around 17% each).

The average amount of EU contribution13 foreseen for a project is around 59 000 euros, with much higher level for the rural infrastructure (124 000 euros) and for the support for processing and marketing of agricultural & fishery products (236 000 euros).

2.6.3. Overview of Rural development Financial Implementation (tables & graphs 4.2.1 to 4.2.2.12)

The total financial plan for all Rural Development financial instruments amounts to around 64.4 bio euros over the period 2000-2006. The Guarantee section of the EAGGF provides for 60% of the budget: 51% directly to EU-15 and 9% through the 13 It should be noticed that, in tables 4.1.2.1 to 4.1.2.12, the amount of EU contribution corresponds to

the EU part in the commitments made by the benefiting countries. This amount is in some cases higher than the amount in EU Financial plan (allocation). It happens when Member States committed more than the allocation as they estimate that the real take-off will be lower and because the transitional rules adopted by the Commission allowed the eight benefiting countries that become Member States in 2004 to use the TRDI funds to pay for commitments made under SAPARD when the relevant funds are exhausted. At the end of the period, EU will not contribute more than the amount allocated under the different rural development instruments in the community budget for the entire period 2000-2006.

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Rural Development Instrument (TRDI) aiming to support the New Member States during the period 2004-2006. The Guidance section share represents 35% and SAPARD reaches around 5% of the total.

The expenditures for the period 2000-2005 represented 67% of the budget foreseen for the whole period for EU-27. The rate of execution is the highest for the Guarantee section (83%). It is lower for the Guidance section (52%) due to the multi-annual rule allowing the payment even after the end of the period and for the TRDI (35%) as this instrument was only implemented recently. The rate of execution of SAPARD is 62%, mainly due to the ongoing programs in Bulgaria and Romania since for the New Member States, the actions initiated before accession are realised at 94%.

Global rates of execution higher than 80% are observed in Ireland, Luxemburg, The Netherlands, Finland and Sweden whereas Greece reached only around 50%. The rate of execution at this time is of course lower in the New Member States (41%).

Germany, Spain, Italy and France shared more or less equally 50% of the total budget of the period. Several Member States had a share of less than 1%.

For the large majority of the Member States of EU-15, most of the expenditure are covered by the Guarantee section. The contribution of the Guidance section is important only in Member States where a large part of the agricultural territory is designated as objective 1, such as Greece, Portugal, Spain and Germany.

For EU-15, the budget available under the Guidance section for the 2000-2006 programming period is established at 20.5 bio euros14.

Around 90% of this budget (18.4 bio euros) is dedicated to Rural Development programs in Objective 1 regions. The rest (around 2.1 bio euros) is allocated to Leader+. If it represents around 10% of the Guidance section for EU-15, this share is considerably higher in some Member States: 100% in Denmark and Luxemburg, 89% in The Netherlands and 64% in Austria. Up to 2005, the total rate of execution of the Leader+ programme is globally 39%, ranging from 27% to 54%.

Since the enlargement of the Union, a budget of 2.1 bio euros has also been available under the Guidance section for the New Member States for the period 2004-2006. Up to 2005, the rate of execution has of course been rather low (24% for the New Member States but up to 47% in some Member States) as the programs are still being implemented.

Since the accession and up to 2006, the New Member States have also benefited from 5.8 bio euros within the Guarantee section for the new Temporary Rural Development Instrument (TRDI).

The financial management of the Guarantee section for the EU-15 provide detailed information concerning the use of the different instruments by the different Member States based on the expenditure in 2000-200515.

The structure of the expenditures of EU-15 is the following:

Agri-environment measures cover 45% of the expenditure, followed by LFA support (21%), encouragement of adaptation of rural areas (10%), forestry measures (9%),

14 To which one should add an amount of 43.8 mio euros for Peace II program implemented in

UK and Ireland. 15 It should be kept in mind that this does not reflect perfectly the total use of the measures in

some Member States where objective 1 regions are important, such as Greece, Portugal, Spain and Germany. In these cases, some of the measures are financed by important amounts funds from the Guidance section.

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investment in agricultural holding -including setting-up of young farmers and training- (6%), early retirement scheme (5%), processing and marketing of agricultural products (3%) and the others (2%).

Compared to this average structure of expenditures, the main features of the structure in the different Member States are:

• Belgium: investments in agriculture are higher but LFA and agri-environment are lower,

• Denmark: LFA support is lower,

• Germany: encouragement of adaptation of rural areas is higher,

• Greece: early retirement is higher but agri-environment is lower,

• Spain: forestry measures are higher but agri-environment is lower,

• France: LFA support is higher but agri-environment is lower,

• Ireland: LFA support and early retirement scheme are higher,

• Italy: agri-environment is higher but LFA support is lower,

• Luxemburg: investments in agriculture are higher but forestry measures and encouragement of adaptation of rural areas are lower,

• The Netherlands: encouragement of adaptation of rural areas is higher but LFA and agri-environment are lower,

• Austria: agri-environment is higher but forestry measures are lower,

• Portugal: forestry measures and LFA support is higher,

• Finland: LFA support is higher but forestry measures and encouragement of adaptation of rural areas are lower,

• Sweden: agri-environment is higher but LFA support, forestry measures and encouragement of adaptation of rural areas are lower,

• United-Kingdom: LFA support is higher

The same type of analysis can be made using the EU contribution reported in the monitoring tables of SAPARD, covering the period 2000-20005. The reference is the aggregate of the 8 new Member States having benefited from SAPARD before accession. The structure of the commitments in Bulgaria and Romania over the period 2000-2005 is compared to this aggregate.

The main features of the structure of the commitments in SAPARD from the different countries are:

• For the aggregate of 8 New Member States, the support for processing & marketing of agricultural products cover 33% of the commitments, followed by rural infrastructure (29%), investments in agriculture (23%) and diversification of agriculture (9%). The implementation of the other measures is more limited,

• Czech Republic: land improvement / reparcelling and renovation of villages are higher but rural infrastructures and processing & marketing of agricultural products are lower,

• Estonia and Latvia: investments in agriculture and diversification of activities are higher but rural infrastructures is lower,

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• Lithuania, Slovenia and Bulgaria: investments in agriculture is higher but rural infrastructures is lower,

• Hungary: investments in agriculture is higher but diversification of activities and rural infrastructures are lower,

• Poland: rural infrastructures is higher but investments in agriculture is lower,

• Slovakia: investments in agriculture and land improvement / reparcelling are higher but rural infrastructures is lower,

• Romania: rural infrastructures is higher but investments in agriculture and processing & marketing of agricultural products are lower,

Finally, it is also interesting to analyse, for each measure, how the expenditure is distributed among which Member States. This has been done for the EU-15 for the period 2000-2005:

• investments in agriculture-setting-up-training: 60% of expenditures in Italy and France,

• early retirement: 75% in Greece, Ireland and Spain,

• less-favoured areas: is better distributed among Member States: 72% in France, Finland, Germany Ireland and Austria. There is a higher use in France and Finland and a lower use in Italy;

• agri-environment: is also well distributed: 51% in Germany, Italy, Austria and France, but there is actually a relative lower use in France,

• processing and marketing of agricultural products: 74% in Spain, Italy and France,

• forestry measures: 58% in Spain, Italy and Ireland increasing to 78% when adding France and Germany,

• adaptation-development of rural areas: 82% in Germany, France, Spain and The Netherlands.

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CHAPTER 3 STATISTICAL DESCRIPTION

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Chapter 3 - CONTENTS

ForewordList of indicatorsCorrespondence table between CMEF order & RD report numberingCorrespondence table between the NUTS levels and national administrative unitsCorrespondence table between the country codes and th country names

Section 3.1 Importance of Rural AreasSection 3.2 Socio-Economic Situation in Rural Areas Section 3.3 Sectoral Economic Indicators Section 3.4 EnvironmentSection 3.5 Diversification & Quality of Life in Rural Areas

Annex 3.A Glossary of Terms & DefinitionsAnnex 3.B Main sourcesAnnex 3.C Technical annexAnnex 3.D Objective-related baseline indicators data at regional level

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Foreword

1. The following chapter - statistical description - provides tables, maps and graphs organised by sections:

3.1 Importance of rural areas 3.2 Socio-economic situation in rural areas 3.3 Sectoral economic indicators 3.4 Environment 3.5 Diversification and quality of life in rural areas 3.6 Leader

2. It is based on the lists of objective- & context-related baseline indicators defined for the Common Monitoring and Evaluation Framework (CMEF) put in place for the rural development policy over the 2007-2013 period.

• Initially organised by type (objective-related versus context-related) and after the four axes defined in EC regulation n°1698/2005, the indicators have been reallocated by section. A correspondence table between the new order and the CMEF order is provided p23.

• Yet the original names have been kept, leading to the following

nomenclature: - objective xx / Oxx: baseline indicator objective-related n° xx in the CMEF - context xx / Cxx: baseline indicator context-related n° xx in the CMEF

• The original measurement has been kept as well. Nevertheless, for

analysis needs, it may have been slightly changed for some indicators (mainly relative value versus absolute number). In such a case, the reference of the indicator appears into brackets, e.g. (Objective xx) – name of the indicator. Relevant information on measurement, definition and sources used for each indicator are to be found in the "Technical Annex" (Annex 3.C), a detailed presentation of the sources being available in Annex 3.B.

3. For some of the indicators, data are available at regional level, whereas for some other, only data at national level are available.

• In the case of data at national level, "summary thematic tables" are being provided, so as to allow an easy comparison between indicators referring to the same topic (e.g. Food industry indicators). The table is then followed by the relevant illustrations - graphs in most cases. For the same indicator, graph and table have the same number.

• In the case of data at regional level, a description by rural character is

provided for the indicators relating to sections: 3.1 Importance of rural areas

3.2 Socio-economic situation in rural areas 3.3 Sectoral economic indicators 3.5 Diversification and quality of life in rural areas

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This means that for each indicator, the following items are presented: - A map showing the indicator value at the most detailed geographical level

(NUTS 2 or 31 or FSS Region or District2); - A "summary table", providing the results according to the rural character:

Predominantly Rural (PR) / Intermediate Regions (IR) / Predominantly Urban (PU) according to the OECD definition; as well as the national value.

This "summary table" is elaborated as follows: for each country, all the NUTS 2 (respectively NUTS 3) regions are being "flagged" according to the OECD methodology (see Box 1 in Chapter 1, p3). For a given indicator, each of these regions has a given value. To get the national value for Predominantly Rural – respectively Intermediate Regions, and Predominantly Urban – we just have to sum the indicator value for all the regions bearing the flag "PR" – respectively "IR" or "PU".

Tables providing results according to the rural character are based on the lowest geographical breakdown available (NUTS 3 if possible). For some indicators, information is only available at NUTS 2. To allow the reader to compare results according to the rural character of the areas for all indicators, tables are also provided at NUTS 2 level even if the information is available at NUTS 3 level (respectively FSS Region and District). This presentation also highlights the importance of the geographical precision. Namely, as shown on maps 3.1.1a & b for indicator Context 1-"Designation of rural areas", the picture changes a lot whether the OECD definition is applied at NUTS 2 or

1 NUTS: Nomenclature of territorial units for statistics – See Glossary of Terms & Definitions (Annex 3.A) for more explanations

2 FSS: Farm Structure Survey – See Annex 3.B: Main Sources, for more explanations – has a geographical breakdown based on NUTS, but not homogeneous in terms of NUTS level. FSS Region level is a mix of NUTS 1 & NUTS 2 regions, while FSS District level is a mix of NUTS 2 & NUTS 3 regions, some predominantly urban regions being too aggregated.

For example: at NUTS 2 level, Hungary counts 7 regions, each of which being either Predominantly Rural (PR) / Intermediate Regions (IR) / Predominantly Urban (PU). If we consider the population within those regions, we have:

NUTS2 region

OECD Flag Population (1000 inhab.

2003) HU10 PU 2 827.2 HU21 IR 1 113.3 HU22 IR 1 003.8 HU23 PR 986.5 HU31 IR 1 284.5 HU32 PR 1 550.6 HU33 PR 1 363.6 Total =

Hungary - 10 129.5

If we now sum for each "category" the population in the NUTS regions flagged with the relevant flag, and divide it by the country total to get the importance of population in each type of area we have:

1000 inhab. % of total PU 2 827.2 27.9% IR 3 401.6 33.6% PR 3 900.7 27.9%

These values do correspond to the values given in table 3.1.2.2.b for the indicator "Share of Population in rural areas".

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NUTS 3 level. This means that for the same indicator and same year, the value for rural or the other OECD types of areas may significantly change between NUTS 2 and NUTS 3 level. Both values are true, but the value at NUTS 3 - respectively FSS district - level should be considered as the less distorting. For example, the percentage of territory (indicator Context 2) in rural areas for EU25 is 56.2% at NUTS 3 level, but only 39.9% at NUTS 2 level for 2003. For the same reason, the percentage of farmers with basic or full agricultural training in rural areas for EU15 is 14.8% at FSS District level, whereas it is 8.6% at FSS Region level for 2000. For consistency of the analysis, the indicators should be compared at the same level.

- Tables providing the data for every particular NUTS2 and NUTS3 region – respectively FSS Region and FSS District for data coming from Farm Structure Surveys – are to be found on the CD-ROM, for all the indicators, and in Annex 3.D for the objective related baseline indicators. Indicators are then organised after the CMEF order.

4. Additional warnings concerning the presentation of the data In this report, the choice has been made to provide as much information as possible to give a broad overview of the agri-food sector and of the situation of the environment and of rural areas. Some "difficult" choices have been made in this context that the reader should be aware of:

• The tables provide information for a "central year" at EU-25 level, i.e. the most recent year for which data were available for most of the Member States. In some cases, data are provided for a different year for some Member States or regions.

• For some indicators, information is available from different sources at national and at regional level. Very often the updates or revisions/corrections of the data are not made at the same time in the national and in the regional series. This may explain that in some cases the sum of the regions cannot correspond to the national figure. Indeed, when different sources are used, the national results provided in the tables are based on the series at national level (rather than on the sum of the regional data from regional statistics).

• In some cases, data are not available for some regions of a Member State. In spite of that, it has been decided, when the effect was considered as limited, to provide tables according to the rural character of regions based on the data available. In some cases (other years available at national and regional level, large discrepancies reflecting differences in updates, difference in coverage at national and regional level, etc) the national summary based on the regional results is also provided to allow evaluating the difference with national figure.

5. The following documents are also available - Correspondence table between the NUTS level and the local administrative units: p25 - Correspondence table between country codes and country names p26 - Localisation maps of the NUTS codes by country, at NUTS 2 & NUTS 3 level (CD ROM) - Glossary of terms: Annex 3.A

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21

Section CMEF Indicator N° Measurement C1 Designation of rural areas 3.1.1 Designation of rural areas with OECD methodologyC2 Importance of rural areas 3.1.2.1 % territory in rural areas

3.1.2.2 % population in rural areas

3.1.2.3 % GVA in rural areas

3.1.2.4 % employment in rural areas

C17 Population density 3.2.1 Population density C18 Age structure 3.2.2 % people aged (0-14) y.o. / (15-64) y.o. / >= 65 y.o. in total populationO1 Economic development 3.2.3 GDP/capita (EU-25 = 100)C19 Structure of the Economy 3.2.4 % GVA by branch (Primary / Secondary / Tertiary sector) C20 Structure of Employment 3.2.5 % employment by branch (Primary / Secondary / Tertiary sector) O2 Employment rate 3.2.6 Employed persons as a share of total population of the same age class O3 Unemployment 3.2.7 Rate of unemployment (% active population) C21 Long-term unemployment 3.2.8 % Long-term unemployment (as a share of active population)

O8 Employment development of primary sector 3.3.1 Employment in primary sector O9 Economic development of primary sector 3.3.2 GVA in primary sector C3 Agricultural land use 3.3.3 % arable area / permanent grass / permanent cropsC4 Farm structure 3.3.4.1 Number of farms

3.3.4.2 Utilized agricultural area

3.3.4.3 Average area farm size and distribution

3.3.4.4 Average economic farm size and distribution

3.3.4.5 Labour Force O16 Importance of semi-subsistence farming in NMS 3.3.5 Number of farms < 1 ESU O4 Training and education in agriculture 3.3.6 % farmers with basic and full education attainedO5 Age structure in agriculture 3.3.7 Ratio : % farmers < 35 / >= 55 years oldO6 Labour productivity in agriculture 3.3.8 GVA / AWU - total and by sector.O7 Gross fixed capital formation in agriculture 3.3.9 GFCF in agriculture

O10 Labour productivity in food industry 3.3.10 GVA /person employed in food industryO11 Gross fixed capital formation in food industry 3.3.11 GFCF in food industry O12 Employment development in food industry 3.3.12 Employment in food industry O13 Economic development of food industry 3.3.13 GVA in food industry C5 Forestry structure 3.3.14.1 Area of forest available for wood supply (FAWS)

3.3.14.2 Ownership (% area of FAWS under "eligible" ownership)

3.3.14.3 Average size of private holding (FOWL) C6 Forest productivity 3.3.15 Average net annual volume increment (FAWS)

O14 Labour productivity in forestry 3.3.16 GVA /person employed in forestryO15 Gross fixed capital formation in forestry 3.3.17 GFCF in forestry

C7 Land cover 3.4.1 % area in agricultural / forest / natural / artificialC8 LFA 3.4.2 % UAA in non LFA / LFA mountain / other LFA / LFA with specific handicapsC9 Areas of extensive agriculture 3.4.3.1 % UAA for extensive arable crops

3.4.3.2 % UAA for extensive grazing C10 Natura 2000 area 3.4.4.1 % territory under Natura 2000

3.4.4.2 % UAA under Natura 2000

3.4.4.3 % forest area under Natura 2000O17 Biodiversity: Population of farmland birds 3.4.5 Trends of index of population of farmland birdsO18 Biodiversity: High Nature Value farmland areas 3.4.6 UAA of High Nature Value Farmland areas O19 Biodiversity: Tree species composition 3.4.7

Distribution of species group by area of FOWL (% coniferous/% broadleaved/%mixed)

C11 Biodiversity: Protected forest 3.4.8% FOWL protected to conserve biodiversity, landscapes and specific natural elements (MCPFE 4.9, classes 1.1, 1.2, 1.3 & 2)

C12 Development of forest area 3.4.9 Average annual increase of forest and other wooded land areasC13 Forest ecosystem health 3.4.10 % trees / conifers / broadleaved in defoliation classes 2-4C14 Water quality 3.4.11 % territory designated as Nitrate Vulnerable ZoneO20 Water quality: Gross Nutrient Balances 3.4.12.1 Surplus of nitrogen in kg/ha

3.4.12.2 Surplus of phosphorus in kg/haO21 Water quality: Pollution by nitrates and pesticides 3.4.13.1 Annual trends in the concentrations of nitrate in ground and surface waters

3.4.13.2 Annual trends in the concentrations of pesticides in ground and surface watersC15 Water use 3.4.14 % irrigated UAA

C16 Protective forests concerning primarily soil and water 3.4.15 FOWL area managed primarily for soil & water protection (MCPFE 5.1 class 3.1) O22 Soil: Areas at risk of soil erosion 3.4.16 Areas at risk of soil erosion (classes of T/ha/year)O23 Soil: Organic farming 3.4.17 UAA under organic farming O24 Climate change: Production of renewable energy from agriculture and

forestry 3.4.18.1Production of renewable energy from agriculture (ktoe)

3.4.18.2 Production of renewable energy from forestry (ktoe) O25 Climate change: UAA devoted to renewable energy 3.4.19 UAA devoted to energy and biomass cropsO26 Climate change: GHG emissions from agriculture 3.4.20 Agricultural emissions of GHG (ktoe)

O27 Farmers with other gainful activity 3.5.1 % holders with other gainful activityO28 Employment development of non-agricultural sector 3.5.2 Employment in secondary and tertiary sectors O29 Economic development of non-agricultural sector 3.5.3 GVA in secondary and tertiary sectors O30 Self-employment development 3.5.4 Self-employed persons O31 Tourism infrastructure in rural area 3.5.5 Number of bedplaces (in hotels, campings, holiday dwellings, etc) C23 Internet infrastructure 3.5.6 DSL coverageO32 Internet take-up in rural areas 3.5.7 % population having subscribed to DSL internet O33 Development of services sector 3.5.8 % GVA in servicesO34 Net migration 3.5.9 Net migration rate C22 Educational attainment 3.5.10 % adults (25_64) with Medium & High educational attainment O35 Life-long learning in rural areas 3.5.11 % of population of adults participating in education and training

AXIS 4, LEADER O36 Development of Local Action Groups 3.5.12 Share of population covered by Local Action Groups

3.4 Environment

3.5 Diversification and quality of life in

the different categories of areas

(OECD)

Indicators for Rural Development report

3.1 Importance of rural areas

3.2 Socio-economic situation in rural

areas

3.3 Sectoral economic indicators

22

AXIS Indicator Measurement RD report* 1 Economic development GDP/capita (EU-25 = 100) 3.2.3* 2 Employment rate Employed persons as a share of total population of the same age class 3.2.6* 3 Unemployment Rate of unemployment (% active population) 3.2.7

* 4 Training and education in agriculture % farmers with basic and full education attained 3.3.65 Age structure in agriculture Ratio : % farmers < 35 / >= 55 years old 3.3.7

* 6 Labour productivity in agriculture GVA / AWU - total and by sector. 3.3.87 Gross fixed capital formation in agriculture GFCF in agriculture 3.3.98 Employment development of primary sector Employment in primary sector 3.3.19 Economic development of primary sector GVA in primary sector 3.3.2

* 10 Labour productivity in food industry GVA / people employed in food industry 3.3.1011 Gross fixed capital formation in food industry GFCF in food industry 3.3.1112 Employment development in food industry Employment in food industry 3.3.1213 Economic development of food industry GVA in food industry 3.3.13

* 14 Labour productivity in forestry GVA /people employed in forestry 3.3.1615 Gross fixed capital formation in forestry GFCF in forestry 3.3.1716 Importance of semi-subsistence farming in NMS Number of farms < 1 ESU 3.3.5

* 17 Biodiversity: Population of farmland birds Trends of index of population of farmland birds 3.4.5* 18 Biodiversity: High Nature Value farmland areas UAA of High Nature Value Farmland areas 3.4.6

19 Biodiversity: Tree species composition Distribution of species group by area of FOWL (% coniferous/%broadleaved/%mixed) 3.4.7

* 20 Water quality: Gross Nutrient Balances Surplus of nitrogen in kg/ha 3.4.12.1Surplus of phosphorus in kg/ha

21 Water quality: Pollution by nitrates and pesticides Annual trends in the concentrations of nitrate in ground and surface waters 3.4.13.1Annual trends in the concentrations of pesticides in ground and surface waters

22 Soil: Areas at risk of soil erosion Areas at risk of soil erosion (classes of T/ha/year) 3.4.1623 Soil: Organic farming UAA under organic farming 3.4.17

* 24 Climate change: Production of renewable energy from agriculture and forestry

Production of renewable energy from agriculture (ktoe) 3.4.18.1

Production of renewable energy from forestry (ktoe)25 Climate change: UAA devoted to renewable energy UAA devoted to energy and biomass crops 3.4.1926 Climate change: GHG emissions from agriculture Agricultural emissions of GHG (ktoe) 3.4.20

* 27 Farmers with other gainful activity % holders with other gainful activity 3.5.1* 28 Employment development of non-agricultural sector Employment in secondary and tertiary sectors 3.5.2* 29 Economic development of non-agricultural sector GVA in secondary and tertiary sectors 3.5.3* 30 Self-employment development Self-employed persons 3.5.4

31 Tourism infrastructure in rural area Number of bedplaces (in hotels, campings, holiday dwellings, etc) 3.5.5* 32 Internet take-up in rural areas % population having subscribed to DSL internet 3.5.7* 33 Development of services sector % GVA in services 3.5.8

34 Net migration Net migration rate 3.5.9* 35 Life-long learning in rural areas % of population of adults participating in education and training 3.5.11

AXIS 4, LEADER * 36 Development of Local Action Groups Share of population covered by Local Action Groups 3.5.12* refers to LEAD indicators

OBJECTIVE RELATED BASELINE INDICATORS

Horizontal

AXIS 1, Improving the competitiveness of the

agricultural and forestry sector

AXIS 2, Improving the environment and the countryside through

land management

AXIS 3, Improving the quality of life in rural

areas and encouraging the diversification of

economic activity

23

AXIS Indicator Measurement RD report1 Designation of rural areas Designation of rural areas with OECD methodology 3.1.12 Importance of rural areas % territory in rural areas 3.1.2.1

% population in rural areas% GVA in rural areas% employment in rural areas

3 Agricultural land use % arable area / permanent grass / permanent crops 3.3.34 Farm structure Number of farms 3.3.4.1

Utilized agricultural area Average area farm size and distributionAverage economic farm size and distributionLabour Force

5 Forestry structure Area of forest available for wood supply (FAWS) 3.3.14.1Ownership (% area of FAWS under "eligible" ownership)Average size of private holding (FOWL)

6 Forest productivity Average net annual volume increment (FAWS) 3.3.157 Land cover % area in agricultural / forest / natural / artificial 3.4.18 LFA % UAA in non LFA / LFA mountain / other LFA / LFA with specific handicaps 3.4.29 Areas of extensive agriculture % UAA for extensive arable crops 3.4.3.1

% UAA for extensive grazing 10 Natura 2000 area % territory under Natura 2000 3.4.4.1

% UAA under Natura 2000% forest area under Natura 2000

11 Biodiversity: Protected forest % FOWL protected to conserve biodiversity, landscapes and specific natural elements (MCPFE 4.9, classes 1.1, 1.2, 1.3 & 2) 3.4.8

12 Development of forest area Average annual increase of forest and other wooded land areas 3.4.913 Forest ecosystem health % trees / conifers / broadleaved in defoliation classes 2-4 3.4.1014 Water quality % territory designated as Nitrate Vulnerable Zone 3.4.1115 Water use % irrigated UAA 3.4.1416 Protective forests concerning primarily soil and water FOWL area managed primarily for soil & water protection (MCPFE 5.1 class 3.1) 3.4.1517 Population density Population density 3.2.118 Age structure % people aged (0-14) y.o. / (15-64) y.o. / >=65 y.o. in total population 3.2.219 Structure of the Economy % GVA by branch (Primary / Secondary / Tertiary sector) 3.2.420 Structure of Employment % employment by branch (Primary / Secondary / Tertiary sector) 3.2.521 Long-term unemployment % Long-term unemployment (as a share of active population) 3.2.822 Educational attainment % adults (25_64) with Medium & High educational attainment 3.5.1023 Internet infrastructure DSL coverage 3.5.6

Horizontal

AXIS 1, Improving the competitiveness of the

agricultural and forestry sector

AXIS 2, Improving the environment and the countryside through

land management

AXIS 3, Improving the quality of life in rural

areas and encouraging the diversification of

economic activity

CONTEXT RELATED BASELINE INDICATORS

24

Correspondence table between the NUTS levels and the national administrative units

NUTS 1 NUTS 2 NUTS 3

BE Régions 3 Provinces 11 Arrondissements 43 CZ Území 1 Oblasti 8 Kraje 14 DK - 1 - 1 Amter 15

DE Länder 16 Regierungsbezirke (in most cases) 41 Kreise 439

EE - 1 - 1 Groups of Maakond 5

GR Groups of development regions 4 Development regions 13 Nomoi 51

ES Agrupación de comunidades autónomas 7 Comunidades y ciudades

autónomas 19 Provincias + Ceuta y Melilla 52

FR Z.E.A.T + DOM 9 Régions + DOM 26 Départements 100 IE - 1 Regions 2 Regional Authority Regions 8 IT Gruppi di regioni 5 Regioni 21 Provincie 103 CY - 1 - 1 - 1 LV - 1 - 1 Reģioni 6 LT - 1 - 1 Apskritys 10 LU - 1 - 1 - 1 HU Statisztikai nagyrégiók 3 Tervezési-statisztikai régiók 7 Megyék + Budapest 20 MT - 1 - 1 Gzejjer 2 NL Landsdelen 4 Provincies 12 COROP regio's 40

AT Gruppen von Bundesländern 3 Bundesländer 9 Gruppen von Politischen Bezirken 35

PL Regiony 6 Województwa 16 Podregiony 45

PT Continente + Regiões autónomas 3

Comissões de coordenação regional + Regiões autónomas

7 Grupos de Concelhos 30

SI - 1 - 1 Statistične regije 12 SK - 1 Oblasti 4 Kraje 8

FI Manner-Suomi, Ahvenananmaa / Fasta Finland, Åland

2 Suuralueet / Storområden 5 Maakunnat / Landskap 20

SE - 1 Riksområden 8 Län 21 UK: 12 37 133

England Government Office Regions 9 Counties (some grouped);

Inner and Outer London 30 Upper tier authorities or groups of lower tier authorities (unitary authorities or districts)

93

Wales Country 1 Groups of unitary authorities 2 Groups of unitary authorities 12

Scotland Country 1 Groups of unitary authorities or LECs 4 Groups of unitary authorities or

LECs (or parts thereof) 23

N.Ireland Country 1 Country 1 Groups of districts 5 EU-25 89 254 1214 EU-15 72 213 1091

BG Rajon 2 Rajon na Planirane / Planning Regions 6 Oblasti 28

RO n.a. Regions 8 Judet + Bucuresti 42 EU-27 91 268 1284 Source: Eurostat – Regions – Nomenclature of territorial units for statistics August 2005

25

Correspondence table between the country codes and the country names

COUNTRY CODE COUNTRY NAME COUNTRY ENGLISH NAME BE Belgique/België Belgium CZ Česká Republika Czech Republic DK Danmark Denmark DE Deutschland Germany EE Eesti Estonia GR Elláda Greece ES España Spain FR France France IE Ireland Ireland IT Italia Italy CY Kypros Cyprus LV Latvija Latvia LT Lietuva Lithuania LU Luxembourg Luxembourg HU Magyarország Hungary MT Malta Malta NL Nederland Netherlands AT Österreich Austria PL Polska Poland PT Portugal Portugal SI Slovenija Slovenia SK Slovenská Republika Slovakia FI Suomi/Finland Finland SE Sverige Sweden UK United Kingdom United Kingdom BG Bălgarija Bulgaria RO România Romania EU-25 European Union (25 countries) EU-15 European Union (15 countries) NMS-10 New Member States (CZ, EE, CY, LV,

LT, HU, MT, PL, SI, SK) EU-27 European Union (25 countries) + 2

Accession Countries (BG-RO)

26

27

SECTION 3.1 IMPORTANCE OF RURAL AREAS

28

Map 3.1.1.a

29

Map 3.1.1.b

30

Table 3.1.2.1.a Table 3.1.2.2.a Table 3.1.2.3.a Table 3.1.2.4.a

Country % PR % IR % PU % PR % IR % PU % PR % IR % PU % PR % IR % PU

Belgium 21.7 23.4 54.8 3.5 11.7 84.7 2.2 8.1 89.7 2.7 9.6 87.7Czech Republic 8.8 90.6 0.6 5.1 83.5 11.4 3.9 70.4 25.7 4.8 79.9 15.4Denmark 67.7 27.7 4.6 38.8 31.8 29.4 34.0 27.6 38.5 36.4 29.7 33.9Germany 36.5 44.1 19.4 13.2 29.3 57.5 9.7 22.5 67.8 11.3 24.9 63.8Estonia 20.7 71.6 7.7 10.5 76.5 13.0 7.4 85.0 7.6 9.2 79.2 11.6Greece 73.9 23.2 2.9 37.2 27.2 35.6 35.8 26.4 37.7 34.2 27.5 38.3Spain 47.4 46.5 6.1 15.0 49.8 35.3 11.9 46.0 42.1 13.2 47.1 39.7France 48.4 47.2 4.4 16.8 53.7 29.6 13.1 47.4 39.5 16.1 51.8 32.1Ireland 98.7 1.3 71.6 28.4 63.1 36.9 66.5 33.5Italy 27.4 50.0 22.6 9.6 40.7 49.8 7.8 36.7 55.5 8.6 37.8 53.6Cyprus 100.0 100.0 100.0 100.0Latvia 55.9 43.6 0.5 38.8 29.5 31.7 23.3 19.0 57.7 37.9 26.7 35.4Lithuania 65.0 35.0 44.3 55.7 34.0 66.0 42.7 57.3Luxembourg 100.0 100.0 100.0 100.0Hungary 64.6 34.8 0.6 47.1 36.0 16.9 33.4 30.5 36.1 44.6 36.0 19.4Malta 100.0 100.0 100.0 100.0 2001Netherlands 2.8 41.1 56.1 1.3 15.8 82.9 1.0 14.2 84.8 n.a. n.a. n.a.Austria 78.5 20.2 1.4 46.3 30.7 22.9 35.4 33.6 31.0 38.6 34.5 26.9Poland 60.3 36.8 2.9 39.6 37.5 22.9 32.3 30.2 37.5 36.7 35.0 28.4Portugal 69.7 21.7 8.5 21.4 26.6 52.0 16.1 21.6 62.3 19.6 24.7 55.7Slovenia 69.5 30.5 61.7 38.3 52.1 47.9 58.6 41.4Slovakia 32.2 63.6 4.2 25.5 63.4 11.1 21.5 52.5 26.0 23.6 57.7 18.6Finland 93.1 6.9 62.2 37.8 52.0 48.0 56.6 43.4Sweden 95.9 4.1 66.5 33.5 59.6 40.4 64.0 36.0United Kingdom 30.1 48.9 20.9 2.6 28.2 69.2 1.8 24.0 74.2 2.4 26.1 71.5Bulgaria 76.5 22.3 1.2 58.4 26.3 15.4 48.4 22.5 29.2 56.9 24.7 18.4 2001Romania 61.6 38.3 0.1 47.1 44.0 8.9 36.5 44.4 19.0 n.a. n.a. n.a.

EU25 56.2 35.9 7.9 18.6 37.7 43.7 13.1 31.7 55.3 16.3 34.9 48.9incl. NL NUTS2 data

EU15 57.4 33.5 9.1 15.5 35.9 48.6 12.4 31.1 56.4 13.8 32.8 53.4incl. NL NUTS2 data

NMS10 50.8 47.0 2.2 34.5 47.2 18.2 26.0 43.3 30.8 31.1 47.1 21.8

EU27 57.0 35.7 7.3 20.5 37.8 41.7 13.2 31.7 55.0 18.7 34.6 46.7incl. NL & RO NUTS2 data

Table 3.1.2.1.b Table 3.1.2.2.b Table 3.1.2.3.b Table 3.1.2.4.b

Country % PR % IR % PU % PR % IR % PU % PR % IR % PU % PR % IR % PU

Belgium 14.5 24.7 60.8 2.4 14.3 83.3 1.7 10.4 87.8 2.1 12.2 85.8Czech Republic 99.4 0.6 88.6 11.4 74.3 25.7 84.6 15.4Denmark 100.0 100.0 100.0 100.0Germany 9.5 70.7 19.7 4.5 50.2 45.3 3.9 45.9 50.3 4.3 48.9 46.8Estonia 100.0 100.0 100.0 100.0Greece 72.2 25.0 2.9 40.4 24.0 35.6 39.1 23.2 37.7 38.7 23.1 38.3Spain 23.9 62.1 14.0 6.8 48.5 44.7 5.2 42.7 52.2 6.1 45.5 48.4France 21.4 74.2 4.4 4.6 68.8 26.5 3.7 61.7 34.6 4.4 66.8 28.9Ireland 46.9 53.1 26.6 73.4 18.3 81.7 24.3 75.7Italy 16.7 57.3 26.1 6.1 48.3 45.6 5.0 45.5 49.5 5.4 46.8 47.7Cyprus 100.0 100.0 100.0 100.0Latvia 100.0 100.0 100.0 100.0Lithuania 100.0 100.0 100.0 100.0Luxembourg 100.0 100.0 100.0 100.0Hungary 54.0 38.6 7.4 38.5 33.6 27.9 26.3 28.1 45.6 35.7 33.6 30.8 2001Malta 100.0 100.0 100.0 100.0Netherlands 34.1 65.9 15.0 85.0 13.2 86.8 14.3 85.7 LFSAustria 73.6 25.9 0.5 52.5 27.9 19.6 44.7 27.7 27.6 47.9 28.5 23.6Poland 39.2 56.8 3.9 29.8 57.8 12.4 24.7 61.5 13.7 29.2 58.4 12.4Portugal 64.9 31.1 4.0 30.0 41.6 28.4 25.0 34.3 40.7 28.3 40.0 31.8Slovenia 100.0 100.0 100.0 100.0Slovakia 95.8 4.2 88.9 11.1 74.0 26.0 81.4 18.6Finland 100.0 100.0 100.0 100.0Sweden 95.0 5.0 64.8 35.2 58.2 41.8 62.4 37.6United Kingdom 16.3 54.8 28.9 0.6 33.2 66.1 0.4 29.3 70.2 0.6 31.9 67.5 2001Bulgaria 81.7 18.3 73.1 26.9 61.3 38.7 70.6 29.4Romania 56.5 42.7 0.8 56.0 33.8 10.2 45.3 33.7 21.0 58.0 32.3 9.7 LFSEU25 39.9 50.3 9.8 12.7 48.2 39.1 8.8 43.3 47.9 11.7 46.5 41.9EU15 41.0 47.7 11.3 9.8 46.1 44.1 8.1 42.7 49.2 9.2 44.4 46.4NMS10 35.4 61.5 3.0 28.0 59.0 13.1 23.7 56.1 20.2 26.6 58.9 14.5EU27 41.9 49.0 9.0 15.6 47.2 37.2 9.0 43.3 47.7 14.6 45.6 39.8

Context 2 - Importance of Rural Areas - NUTS 2

Note: The total for France and therefore the European aggregates include the overseas departments.

% Territory in rural areas % Population in rural areas2003 2003

% GVA in rural areas2002

% Employment in rural areas2002

Context 2 - Importance of Rural Areas - NUTS 3% Territory in rural areas % Population in rural areas % GVA in rural areas % Employment in rural areas

Note: The total for France and therefore the European aggregates include the overseas departments.

2003 2003 2002 2002

31

Graph 3.1.2.1

Graph 3.1.2.2

Context 2 - Importance of Rural Areas - Share of Territory in the different types of areas (NUTS3 - 2003)

0%

20%

40%

60%

80%

100%

BE CZ

DK

DE

EE EL ES FR IE IT CY LV LT LU HU

MT

NL

AT PL PT SI

SK FI SE UK

BG RO

EU

25

EU

15

NM

S10

EU

27

% PR % IR % PU

Context 2 - Importance of Rural Areas - Share of Population in the different types of areas (NUTS3 - 2003)

0%

20%

40%

60%

80%

100%

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT NL

AT PL

PT SI SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

% PR % IR % PU

32

Graph 3.1.2.3

Graph 3.1.2.4

Context 2 - Importance of Rural Areas - Share of GVA in the different types of areas (NUTS3 - 2002)

0%

20%

40%

60%

80%

100%

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

% PR % IR % PU

Context 2 - Importance of Rural Areas - Share of Employment in the different types of areas (NUTS3 - 2002)

0%

20%

40%

60%

80%

100%

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT

NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

% PR % IR % PU

33

SECTION 3.2 SOCIO-ECONOMIC SITUATION IN RURAL

AREAS

34

Table 3.2.1.a

Country (1) PR (2) IR (3) PU MS valueBelgium 54.9 170.4 525.3 340.0Czech Republic 76.0 121.8 2 399.1 132.1Denmark 71.6 143.8 803.1 125.1Germany 83.9 153.4 684.2 231.2Estonia 15.7 33.4 52.2 31.2Greece 42.2 97.9 1 031.5 83.7Spain 26.2 88.8 480.9 83.0France 33.8 111.0 649.8 110.4Ireland 42.4 1 238.7 58.4Italy 66.7 155.4 421.5 191.2Cyprus 126.9 126.9Latvia 25.8 25.4 2 879.7 37.3Lithuania 36.2 83.6 52.9Luxembourg 174.0 174.0Hungary 79.3 112.8 3 261.5 108.9Malta 1 263.0 1 263.0Netherlands 184.7 216.7 645.9 480.3Austria 57.2 147.5 1 631.4 96.8Poland 80.3 124.5 966.6 122.2Portugal 34.9 139.0 690.5 113.6Slovenia 88.1 124.1 99.1Slovakia 86.7 109.4 292.3 109.7Finland 11.5 89.2 17.1Sweden 15.2 171.2 21.8United Kingdom 20.8 141.0 807.5 244.3Bulgaria 53.8 83.0 891.1 70.5Romania 69.8 104.7 8 113.4 91.2EU25 38.5 119.6 632.0 117.5EU15 32.3 124.9 620.8 121.1NMS10 68.9 102.6 843.3 101.7EU27 40.9 118.2 638.7 114.8

Table 3.2.1.b

Country (1) PR (2) IR (3) PU MS valueBelgium 57.0 196.5 466.0 340.0Czech Republic 117.8 2 399.1 132.1Denmark 125.1 125.1Germany 108.6 164.0 530.9 231.2Estonia 31.2 31.2Greece 46.9 80.5 1 031.5 83.7Spain 23.7 64.8 265.7 83.0France 21.0 90.6 584.4 110.4Ireland 33.1 80.8 58.4Italy 70.1 161.1 334.7 191.2Cyprus 126.9 126.9Latvia 37.3 37.3Lithuania 52.9 52.9Luxembourg 174.0 174.0Hungary 77.6 94.8 408.6 108.9Malta 1 263.0 1 263.0Netherlands 210.7 620.0 480.3Austria 69.1 104.2 3 837.0 96.8Poland 92.8 124.4 383.0 122.2Portugal 52.4 151.9 804.2 113.6Slovenia 99.1 99.1Slovakia 101.7 292.3 109.7Finland 17.1 17.1Sweden 14.9 153.9 21.8United Kingdom 9.3 148.2 559.2 244.3Bulgaria 63.0 103.8 70.5Romania 90.5 72.2 1 212.5 91.2EU25 36.7 110.6 459.9 117.5EU15 28.2 114.4 461.2 121.1NMS10 80.3 97.4 439.4 101.7EU27 42.0 108.7 463.4 114.8

Context 17 - Population Densityinhab/km2 - 2003 - NUTS 3

Note : for FR and, consequently, for the European aggregates, the overseas departments are covered forthe summary by rural character, whereas they are excluded from the MS value (leading to a populationdensity of 110 hab/km2 against 98hab./km2 for FR, and 117 hab./km2 againt 115 for EU-25).

Note : for FR and, consequently, for the European aggregates, the overseas departments are covered forthe summary by rural character, whereas they are excluded from the MS value (leading to a populationdensity of 110 hab/km2 against 98hab./km2 for FR, and 117 hab./km2 againt 115 for EU-25).

Context 17 - Population Densityinhab/km2 - 2003 - NUTS 2

35

Map 3.2.1

36

Table 3.2.2.a

Country % 0-14 y.o.% 15-64 y.o % 65+ y.o. % 0-14 y.o.% 15-64 y.o % 65+ y.o. % 0-14 y.o.% 15-64 y.o % 65+ y.o. % 0-14 y.o.% 15-64 y.o % 65+ y.o.Belgium n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 17.5 65.5 16.9Czech Republic 17.3 68.9 13.8 16.5 70.0 13.5 13.4 70.5 16.1 16.2 70.0 13.8Denmark n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 18.6 66.6 14.8Germany 16.5 67.2 16.4 16.3 67.2 16.5 14.9 68.3 16.8 excl. DE21i 15.5 67.8 16.6Estonia 20.6 64.0 15.3 18.1 67.1 14.8 16.5 67.7 15.8 18.1 66.9 15.0Greece 15.5 65.2 19.3 16.0 68.4 15.6 14.4 70.8 14.8 15.2 68.1 16.7Spain 15.0 64.3 20.7 15.0 68.8 16.2 13.9 70.3 15.8 14.6 68.7 16.7France 17.8 62.5 19.7 19.1 65.1 15.8 20.0 66.9 13.2 18.9 65.2 15.9Ireland 22.2 66.5 11.4 19.3 70.6 10.1 21.4 67.7 11.0Italy 14.2 66.1 19.7 14.4 66.3 19.2 14.1 67.9 18.0 14.2 67.1 18.7Cyprus 21.4 66.9 11.7 21.4 66.9 11.7Latvia n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 18.1 67.1 14.8Lithuania 20.7 64.2 15.1 18.6 68.2 13.2 19.5 66.4 14.0Luxembourg 18.9 67.2 13.9 18.9 67.2 13.9Hungary 17.5 67.5 15.0 17.4 68.5 14.1 12.8 69.6 17.6 16.6 68.2 15.2Malta n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 20.1 67.7 12.2 stat dataNetherlands 19.1 65.7 15.3 19.2 66.9 13.9 18.5 68.0 13.5 18.6 67.8 13.6Austria 18.0 66.6 15.4 16.3 68.2 15.5 15.4 69.2 15.5 16.8 67.7 15.5Poland 19.8 68.2 12.0 18.9 68.6 12.6 14.6 71.9 13.5 excl. PL111,112,113 18.2 69.1 12.7Portugal 14.2 63.6 22.2 16.9 67.0 16.1 16.3 69.8 13.9 16.0 67.7 16.4Slovenia n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 14.7 71.2 14.1Slovakia 17.8 69.8 12.4 20.2 68.9 10.9 15.4 72.2 12.4 19.0 69.5 11.5Finland 18.1 65.7 16.1 17.9 68.9 13.1 18.1 66.9 15.0Sweden 18.3 63.6 18.1 18.4 66.1 15.5 18.4 64.4 17.2United Kingdom 19.4 63.8 16.8 18.3 64.3 17.4 19.1 65.7 15.2 18.9 65.2 15.9Bulgaria 16.5 67.0 16.4 15.5 68.0 16.5 14.0 71.4 14.6 15.9 67.9 16.2 stat dataRomania 18.5 66.6 15.0 17.7 69.1 13.2 12.6 73.7 13.8 17.6 68.3 14.1

EU25 17.6 65.8 16.6 17.1 66.9 15.9 16.4 68.0 15.6excl. BE, DK, LV, MT, SI 16.9 67.2 16.0 G2

EU15 16.9 65.0 18.1 16.8 66.4 16.7 16.5 67.7 15.7 excl. BE, DK 16.7 66.8 16.5 G2

NMS10 19.2 67.8 13.0 18.2 68.9 12.9 14.3 71.4 14.4 excl. LV, MT, SI 17.8 69.0 13.3 G2

EU27 17.6 65.9 16.4 17.1 67.1 15.8 16.3 68.0 15.6excl. BE, DK, LV, MT, SI 16.9 67.2 15.9 G2

Table 3.2.2.b

Country % 0-14 y.o.% 15-64 y.o % 65+ y.o. % 0-14 y.o.% 15-64 y.o % 65+ y.o. % 0-14 y.o.% 15-64 y.o % 65+ y.o. % 0-14 y.o.% 15-64 y.o % 65+ y.o.Belgium 20.4 63.5 16.1 18.4 64.6 17.0 17.4 65.8 16.8 17.5 65.5 16.9Czech Republic 16.5 70.0 13.5 13.4 70.5 16.1 16.2 70.0 13.8Denmark 18.6 66.6 14.8 18.6 66.6 14.8Germany 15.6 68.4 16.0 15.4 67.8 16.8 15.7 67.8 16.5 15.5 67.8 16.6Estonia 18.1 66.9 15.0 18.1 66.9 15.0Greece 15.8 65.7 18.5 15.6 67.9 16.5 14.4 70.8 14.8 15.2 68.1 16.7Spain 16.2 64.6 19.2 14.9 68.1 17.0 14.0 69.9 16.1 14.6 68.7 16.7France 17.5 63.1 19.5 18.7 64.6 16.8 20.7 67.1 12.2 18.9 65.2 15.9Ireland 22.4 65.3 12.3 21.0 68.5 10.5 21.4 67.7 11.0Italy 13.8 67.5 18.7 14.1 66.3 19.6 14.4 67.9 17.7 14.2 67.1 18.7Cyprus 21.4 66.9 11.7 21.4 66.9 11.7Latvia 18.1 67.1 14.8 18.1 67.1 14.8Lithuania 19.5 66.4 14.0 19.5 66.4 14.0Luxembourg 18.9 67.2 13.9 18.9 67.2 13.9Hungary 17.6 67.4 14.9 17.1 68.1 14.8 14.7 69.4 15.9 16.6 68.2 15.2Malta 20.1 67.7 12.2 20.1 67.7 12.2 stat dataNetherlands 19.0 66.9 14.1 18.6 67.9 13.5 18.6 67.8 13.6Austria 16.9 67.2 15.9 18.3 67.5 14.2 14.7 69.3 16.0 16.8 67.7 15.5Poland 19.3 68.3 12.3 17.9 69.1 13.0 16.6 71.4 12.0 18.2 69.1 12.7Portugal 14.7 65.2 20.1 17.5 68.2 14.3 15.2 69.6 15.2 16.0 67.7 16.4Slovenia 14.7 71.2 14.1 14.7 71.2 14.1Slovakia 19.5 69.2 11.3 15.4 72.2 12.4 19.0 69.5 11.5Finland 18.1 66.9 15.0 18.1 66.9 15.0Sweden 18.4 63.6 18.1 18.3 65.9 15.7 18.4 64.4 17.2United Kingdom 18.2 64.4 17.3 18.5 64.4 17.1 19.1 65.6 15.3 18.9 65.2 15.9Bulgaria 16.2 67.4 16.4 14.9 69.6 15.5 15.9 67.9 16.2 stat dataRomania 18.5 67.0 14.5 17.5 69.1 13.4 13.3 73.0 13.7 17.6 68.3 14.1EU25 17.4 66.6 16.0 16.9 66.9 16.2 16.8 67.7 15.5 16.9 67.2 16.0 G2EU15 16.7 65.8 17.5 16.7 66.4 17.0 16.9 67.5 15.7 16.7 66.8 16.5 G2NMS10 18.6 68.1 13.3 17.8 69.0 13.2 15.7 70.6 13.7 17.8 69.0 13.3 G2EU27 17.5 66.7 15.8 16.9 67.0 16.1 16.7 67.7 15.5 16.9 67.2 15.9 G2

Note : for FR and, consequently, for the European aggregates, the overseas departments are covered for the summary by rural character, whereas they are excluded from the MS value

(1) PR (2) IR (3) PU MS value

Context 18 - Age Structure - 2001 - NUTS 2 (1) PR (2) IR (3) PU MS value

Context 18 - Age Structure - 2001 - NUTS 3

Note : for FR and, consequently, for the European aggregates, the overseas departments are covered for the summary by rural character, whereas they are excluded from the MS value

37

Map 3.2.2

38

Table 3.2.3.a

Country (1) PR (2) IR (3) PU MS valueBelgium 72.9 80.7 123.7 116.9Czech Republic 52.5 55.9 147.2 66.2Denmark 109.1 108.2 164.3 125.1Germany 80.8 84.7 129.9 110.1Estonia 31.4 49.8 27.2 44.9Greece 71.5 73.0 79.0 74.6Spain 71.9 85.3 113.0 92.9France 88.8 100.6 152.0 113.8Ireland 112.7 171.0 129.6Italy 90.7 99.3 123.2 110.4Cyprus 85.7 85.7Latvia 22.7 25.9 65.4 37.3Lithuania 31.8 47.6 40.6Luxembourg 214.6 214.6Hungary 40.6 48.0 116.1 56.2Malta 74.8 74.8Netherlands 97.3 110.7 125.2 122.6Austria 93.0 134.7 168.7 123.0Poland 36.4 38.8 73.9 45.9Portugal 57.0 62.3 92.9 77.0Slovenia 62.9 93.0 74.4Slovakia 41.7 41.3 112.2 49.4Finland 95.7 144.4 114.0Sweden 104.9 140.8 116.9United Kingdom 79.5 97.4 124.4 115.6Bulgaria 23.9 24.3 51.2 28.1Romania 21.1 26.8 58.0 26.9EU25 72.1 86.2 123.9 20 478 ppsEU15 87.1 96.1 126.7 109.6NMS10 38.2 47.0 86.2 51.1EU27 64.5 82.3 122.8 95.5

Table 3.2.3.b

Country (1) PR (2) IR (3) PU MS valueBelgium 82.9 86.0 123.2 116.9Czech Republic 55.7 147.2 66.2Denmark 125.1 125.1Germany 95.8 100.5 122.3 110.1Estonia 44.9 44.9Greece 72.1 72.2 79.0 74.6Spain 69.0 80.7 110.2 92.9France 90.4 101.9 148.8 113.8Ireland 93.6 142.6 129.6Italy 89.8 103.9 120.1 110.4Cyprus 85.7 85.7Latvia 37.3 37.3Lithuania 40.6 40.6Luxembourg 214.6 214.6Hungary 38.7 48.5 89.7 56.2Malta 74.8 74.8Netherlands 109.1 124.9 122.6Austria 104.2 122.2 175.4 123.0Poland 38.5 48.7 50.6 45.9Portugal 63.7 63.6 110.9 77.0Slovenia 74.4 74.4Slovakia 41.4 112.2 49.4Finland 114.0 114.0Sweden 104.9 139.0 116.9United Kingdom 77.7 100.7 123.5 115.6Bulgaria 24.1 39.0 28.1Romania 21.8 26.6 56.0 26.9EU25 74.1 90.2 120.6 20 478 ppsEU15 91.9 100.5 123.1 109.6NMS10 42.3 49.2 78.3 51.1EU27 61.7 87.7 119.8 95.5

Objective 1 - Economic Development

Note : the total for France and therefore the European aggregates include the overseas departments

Objective 1 - Economic Development

Note : the total for France and therefore the European aggregates include the overseas departments

GDP(pps) / capita (EU25=100) - "2001" - NUTS 2

GDP(pps) / capita (EU25=100) - "2001" - NUTS 3

39

Map 3.2.3

40

Table 3.2.4.a

Country%

primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

% GVA in primary sector

% GVA in secondary

sector

% GVA in tertiary sector

Belgium 4.5 19.3 76.3 2.9 26.2 70.9 1.0 25.7 73.2 1.2 25.5 73.3Czech Republic 9.6 49.8 40.6 3.8 45.0 51.2 0.1 16.5 83.4 3.1 37.9 59.0Denmark 4.8 29.5 65.7 2.6 25.4 72.0 0.2 16.6 83.1 2.3 25.7 72.0Germany 3.7 32.1 64.2 2.2 33.1 64.7 0.4 26.9 72.7 1.1 29.0 69.9Estonia 14.7 34.1 51.2 4.3 25.4 70.3 2.1 45.9 52.0 4.7 27.6 67.7Greece 14.0 24.4 61.6 6.9 20.1 73.0 0.6 21.8 77.6 7.0 22.0 71.1Spain 9.0 27.5 63.5 4.0 28.5 67.5 0.8 28.9 70.4 3.9 29.0 67.1France 6.0 29.4 64.6 3.4 27.9 68.7 0.5 19.3 80.2 2.7 21.8 75.5Ireland 4.1 49.2 46.6 0.2 28.5 71.2 2.6 41.3 56.1Italy 4.5 24.0 71.5 3.7 26.5 69.8 1.6 27.8 70.6 2.6 27.1 70.3Cyprus 3.9 19.4 76.7 3.8 19.8 76.5Latvia 11.8 29.7 58.4 7.7 24.0 68.2 0.6 19.2 80.1 4.6 22.6 72.8Lithuania 12.9 34.5 52.6 4.0 27.6 68.5 7.0 29.7 63.2Luxembourg 0.6 16.8 82.6 0.6 16.8 82.6Hungary 7.0 33.8 59.1 3.9 37.8 58.3 0.4 20.5 79.2 3.7 30.3 66.0Malta 2.6 27.0 70.4 2.6 26.9 70.5Netherlands 6.0 32.3 61.8 4.0 31.9 64.1 2.2 22.8 75.0 2.3 24.1 73.6Austria 4.4 37.8 57.8 1.2 32.4 66.5 0.3 19.7 80.0 2.0 30.1 67.9Poland 5.8 30.9 63.3 3.8 30.9 65.4 0.2 27.9 71.9 4.5 28.7 66.8Portugal 10.6 29.3 60.2 5.8 31.2 63.0 1.1 25.5 73.5 4.0 25.5 70.4Slovenia 4.6 42.9 52.5 1.6 27.2 71.2 3.2 35.3 61.5Slovakia 7.8 32.9 59.3 4.9 35.8 59.3 0.9 20.7 78.5 4.4 31.0 64.6Finland 5.8 34.9 59.3 1.1 27.0 71.9 3.5 30.9 65.6Sweden 2.6 32.6 64.8 0.7 20.1 79.3 1.8 27.5 70.7United Kingdom 6.2 26.5 67.3 2.5 29.3 68.2 0.4 23.0 76.6 0.9 24.9 74.2Bulgaria 18.0 30.5 51.5 14.3 27.5 58.2 0.7 28.0 71.3 12.1 29.1 58.8Romania 19.9 34.5 45.5 12.0 42.7 45.3 0.1 30.6 69.3 12.5 37.5 50.0EU25 5.5 31.8 62.7 3.1 28.9 68.0 0.7 24.7 74.5 2.1 26.6 71.2EU15 5.3 31.7 63.0 3.0 28.5 68.5 0.8 24.7 74.5 2.1 26.4 71.5NMS10 6.6 33.5 59.9 3.8 34.8 61.4 0.4 24.2 75.5 4.1 30.7 65.2EU27 5.7 31.9 62.4 3.2 29.0 67.9 0.7 24.7 74.5 2.2 26.7 71.1Notes: - The total for France and therefore the European aggregates include the overseas departments - Data sources differ at regional (Economic Accounts) and national (National Accounts) levels.

Table 3.2.4.b

Country%

primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

% GVA in primary sector

% GVA in secondary

sector

% GVA in tertiary sector

Belgium 3.6 22.7 73.7 1.4 25.0 73.5 1.2 25.8 73.1 1.2 25.5 73.3Czech Republic 4.1 45.3 50.6 0.1 16.5 83.4 3.1 37.9 59.0Denmark 2.4 23.4 74.1 2.3 25.7 72.0Germany 2.2 32.4 65.3 1.6 29.6 68.8 0.6 27.9 71.6 1.1 29.0 69.9Estonia 4.9 27.6 67.5 4.7 27.6 67.7Greece 11.9 23.1 65.0 9.4 21.7 68.9 0.6 21.8 77.6 7.0 22.0 71.1Spain 8.6 28.1 63.4 5.1 26.8 68.1 1.2 30.0 68.8 3.9 29.0 67.1France 4.8 24.9 70.4 3.6 27.9 68.5 0.6 19.0 80.4 2.7 21.8 75.5Ireland 6.1 36.4 57.5 1.9 42.8 55.3 2.6 41.3 56.1Italy 3.6 24.1 72.3 3.1 26.9 70.0 2.0 27.5 70.5 2.6 27.1 70.3Cyprus 3.9 19.4 76.7 3.8 19.8 76.5Latvia 4.6 22.6 72.8 4.6 22.6 72.8Lithuania 7.0 29.9 63.1 7.0 29.7 63.2Luxembourg 0.6 16.8 82.6 0.6 16.8 82.6Hungary 7.9 30.5 61.6 4.2 41.7 54.1 0.9 23.0 76.1 3.7 30.3 66.0Malta 2.6 27.0 70.4 2.6 26.9 70.5Netherlands 4.2 32.6 63.1 2.2 22.9 74.9 2.3 24.1 73.6Austria 3.3 33.8 63.0 1.9 38.0 60.1 0.2 17.1 82.7 2.0 30.1 67.9Poland 4.4 29.9 65.7 3.0 27.9 69.1 1.0 37.9 61.1 4.5 28.7 66.8Portugal 7.9 33.1 58.9 3.7 32.6 63.7 0.9 19.3 79.8 4.0 25.5 70.4Slovenia 3.1 35.4 61.4 3.2 35.3 61.5Slovakia 5.7 35.0 59.3 0.9 20.7 78.5 4.4 31.0 64.6Finland 3.5 31.1 65.3 3.5 30.9 65.6Sweden 2.6 32.6 64.8 0.8 20.6 78.7 1.8 27.5 70.7United Kingdom 7.1 24.9 68.0 2.2 28.2 69.6 0.5 23.1 76.5 0.9 24.9 74.2Bulgaria 17.5 28.4 54.1 3.6 30.1 66.3 12.1 29.1 58.8Romania 16.7 38.0 45.3 14.6 40.3 45.1 0.7 31.3 67.9 12.5 37.5 50.0EU25 4.5 30.3 65.1 2.9 28.5 68.6 1.0 24.9 74.1 2.1 26.6 71.2EU15 4.4 30.2 65.3 2.8 28.2 68.9 1.0 24.9 74.1 2.1 26.4 71.5NMS10 5.1 31.2 63.7 3.7 33.1 63.2 0.8 26.0 73.2 4.1 30.7 65.2EU27 5.0 30.5 64.5 2.9 28.6 68.5 1.0 25.0 74.1 2.2 26.7 71.1Notes: - The total for France and therefore the European aggregates include the overseas departments - Data sources differ at regional (Economic Accounts) and national (National Accounts) levels.

Context 19 - Structure of the Economy (% GVA by branch) - 2002 - NUTS 3(1) PR (2) IR (3) PU MS value (National Accounts)

Context 19 - Structure of the Economy (% GVA by branch) - 2002 - NUTS 2(1) PR (2) IR (3) PU MS value (National Accounts)

41

Country%

primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

Belgium 7.5 17.3 75.2 4.6 21.7 73.7 2.0 21.7 76.3 2.4 21.6 76.1 iCzech Republic 10.7 46.4 43.0 4.1 41.8 54.1 0.4 18.8 80.8 3.9 38.4 57.7Denmark 6.3 28.1 65.6 4.3 23.9 71.8 0.5 14.2 85.3 3.7 22.4 73.9Germany 6.4 32.6 61.0 4.1 32.7 63.2 1.0 25.1 73.8 2.4 27.8 69.7Estonia 18.2 33.6 48.1 6.2 28.7 65.2 2.5 46.2 51.3 6.8 31.2 62.0Greece 32.2 21.2 46.6 16.8 24.2 59.0 1.3 25.8 72.9 16.2 p 23.8 p 60.1 pSpain 15.9 28.8 55.3 7.5 29.0 63.5 1.6 29.4 68.9 6.2 29.1 64.6France 7.9 26.6 65.5 4.0 25.1 70.9 0.9 17.3 81.8 3.6 22.8 73.6Ireland 10.2 31.7 58.1 0.6 20.4 79.0 7.0 27.9 65.1Italy 8.6 26.7 64.7 6.6 28.5 64.9 2.6 30.0 67.4 4.6 29.2 66.2Cyprus 7.5 20.5 72.0 7.5 20.5 72.0Latvia 24.4 23.2 52.4 20.6 24.1 55.3 1.0 25.8 73.2 15.1 24.4 60.5Lithuania 27.4 27.3 45.3 10.6 27.5 61.9 17.8 27.4 54.8Luxembourg 1.4 21.6 77.0 1.4 21.6 77.0Hungary 10.2 35.0 54.9 5.5 36.5 58.1 0.6 20.6 78.8 2001 6.6 2001 32.7 2001 60.7 2001Malta 1.6 28.3 70.0 1.6 28.3 70.1

Netherlands n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 3.0 LFS 20.8 LFS 76.2 LFS - g_to_q

Austria 9.7 30.5 59.7 2.8 25.2 72.0 0.6 17.8 81.5 4.9 25.3 69.8Poland 27.6 27.5 44.9 21.0 29.0 50.0 1.7 30.4 67.9 17.9 28.8 53.2Portugal 23.0 25.3 51.7 14.4 33.2 52.5 2.8 30.6 66.6 9.6 30.1 60.3Slovenia 15.0 42.0 43.0 5.8 30.9 63.3 11.2 37.4 51.4Slovakia 7.5 33.6 59.0 5.1 38.1 56.9 1.4 23.4 75.2 5.0 34.3 60.8Finland 8.0 29.5 62.6 1.9 23.1 74.9 5.3 26.7 68.0Sweden 3.1 26.1 70.8 1.3 18.0 80.7 2.4 23.2 74.4United Kingdom 8.4 20.2 71.5 3.3 23.2 73.5 0.7 19.3 80.0 2001 1.6 2001 20.3 2001 78.1 2001Bulgaria 33.0 29.1 37.9 26.8 27.6 45.7 2.4 24.4 73.2 25.8 27.8 46.3

Romania n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 36.8 LFS 29.7 LFS 33.5 LFS - g_to_q

EU25 13.2 28.7 58.1 6.3 28.5 65.2 1.3 24.0 74.7 excl. NL 5.0 G2 26.2 G2 68.8 G2EU15 10.1 28.0 62.0 5.2 27.1 67.7 1.3 23.8 74.9 excl. NL 3.9 G2 25.3 G2 70.8 G2NMS10 21.6 30.5 47.8 11.0 34.0 55.0 1.3 27.2 71.5 12.2 G2 31.4 G2 56.3 G2EU27 14.2 28.7 57.1 6.6 28.5 65.0 1.3 24.0 74.7 excl. NL, RO 6.8 G2 26.4 G2 66.8 G2

Note : the total for France and therefore the European aggregates include the overseas departments

Table 3.2.5.b

Country%

primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

% primary sector

% secondary

sector

% tertiary sector

Belgium 7.5 17.3 75.2 4.6 21.7 73.7 2.0 21.7 76.3 2.4 21.6 76.1 iCzech Republic 10.7 46.4 43.0 4.1 41.8 54.1 0.4 18.8 80.8 3.9 38.4 57.7Denmark 6.3 28.1 65.6 4.3 23.9 71.8 0.5 14.2 85.3 3.7 22.4 73.9Germany 6.4 32.6 61.0 4.1 32.7 63.2 1.0 25.1 73.8 2.4 27.8 69.7Estonia 18.2 33.6 48.1 6.2 28.7 65.2 2.5 46.2 51.3 6.8 31.2 62.0Greece 32.2 21.2 46.6 16.8 24.2 59.0 1.3 25.8 72.9 16.2 p 23.8 p 60.1 pSpain 15.9 28.8 55.3 7.5 29.0 63.5 1.6 29.4 68.9 6.2 29.1 64.6France 7.9 26.6 65.5 4.0 25.1 70.9 0.9 17.3 81.8 3.6 22.8 73.6Ireland 10.2 31.7 58.1 0.6 20.4 79.0 7.0 27.9 65.1Italy 8.6 26.7 64.7 6.6 28.5 64.9 2.6 30.0 67.4 4.6 29.2 66.2Cyprus 7.5 20.5 72.0 7.5 20.5 72.0Latvia 24.4 23.2 52.4 20.6 24.1 55.3 1.0 25.8 73.2 15.1 24.4 60.5Lithuania 27.4 27.3 45.3 10.6 27.5 61.9 17.8 27.4 54.8Luxembourg 1.4 21.6 77.0 1.4 21.6 77.0Hungary 10.2 35.0 54.9 5.5 36.5 58.1 0.6 20.6 78.8 2001 6.6 2001 32.7 2001 60.7 2001Malta 1.6 28.3 70.0 1.6 28.3 70.1

Netherlands n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 3.0 LFS 20.8 LFS 76.2 LFS - g_to_q

Austria 9.7 30.5 59.7 2.8 25.2 72.0 0.6 17.8 81.5 4.9 25.3 69.8Poland 27.6 27.5 44.9 21.0 29.0 50.0 1.7 30.4 67.9 17.9 28.8 53.2Portugal 23.0 25.3 51.7 14.4 33.2 52.5 2.8 30.6 66.6 9.6 30.1 60.3Slovenia 15.0 42.0 43.0 5.8 30.9 63.3 11.2 37.4 51.4Slovakia 7.5 33.6 59.0 5.1 38.1 56.9 1.4 23.4 75.2 5.0 34.3 60.8Finland 8.0 29.5 62.6 1.9 23.1 74.9 5.3 26.7 68.0Sweden 3.1 26.1 70.8 1.3 18.0 80.7 2.4 23.2 74.4United Kingdom 8.4 20.2 71.5 3.3 23.2 73.5 0.7 19.3 80.0 2001 1.6 2001 20.3 2001 78.1 2001Bulgaria 33.0 29.1 37.9 26.8 27.6 45.7 2.4 24.4 73.2 25.8 27.8 46.3

Romania n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 36.8 LFS 29.7 LFS 33.5 LFS - g_to_q

EU25 13.2 28.7 58.1 6.3 28.5 65.2 1.3 24.0 74.7 excl. NL 5.0 G2 26.2 G2 68.8 G2EU15 10.1 28.0 62.0 5.2 27.1 67.7 1.3 23.8 74.9 excl. NL 3.9 G2 25.3 G2 70.8 G2NMS10 21.6 30.5 47.8 11.0 34.0 55.0 1.3 27.2 71.5 12.2 G2 31.4 G2 56.3 G2EU27 14.2 28.7 57.1 6.6 28.5 65.0 1.3 24.0 74.7 excl. NL, RO 6.8 G2 26.4 G2 66.8 G2

Note : the total for France and therefore the European aggregates include the overseas departments

(2) IR (3) PU MS value (as of national totals in regional series)% employment

in primary sector

% employment in secondary sector

% employment in tertiary sector

(1) PR

Context 20 - Structure of Employment (% employment by branch) - 2002 - NUTS 3(1) PR (2) IR (3) PU MS value (as of national totals in regional series)

% employment in primary sector

% employment in

secondary sector

% employment in tertiary sector

Context 20 - Structure of Employment (% employment by branch) - 2002 - NUTS 2

42

Table 3.2.6

Country (1) PR (2) IR (3) PU MS value

Belgium 60.1 55.6 61.1 60.3Czech Republic 63.4 70.3 64.2Denmark 75.7 75.7Germany 66.5 64.8 63.5 64.3Estonia 63.0 63Greece 59.0 58.0 60.8 59.4Spain 57.0 57.6 65.4 61.1France 62.4 63.0 61.5 62.5Ireland 65.2 66.7 66.3Italy 54.0 56.5 59.3 57.6Cyprus 68.9 68.9Latvia 62.3 62.3Lithuania 61.2 61.2Luxembourg 61.6 61.6Hungary 52.0 57.0 62.9 56.8Malta 54.1 54.1Netherlands 71.3 73.4 73.1Austria 68.1 70.0 63.8 67.8Poland 51.6 52.5 48.1 51.7Portugal 70.8 66.4 67.0 67.8Slovenia 65.3 65.3Slovakia 55.6 67.7 57Finland 67.6 67.6Sweden 71.3 73.5 72.1United Kingdom 72.6 72.9 71.0 71.6Bulgaria 52.1 59.7 54.2Romania 59.1 54.8 59.6 57.7EU25 61.1 62.2 64.8 63.1 G2EU15 64.9 63.6 65.3 64.5 G2NMS10 54.6 56.6 56.5 56.0 G2EU27 60.1 61.9 64.7 62.7 G2

Objective 2 - Employment Rate

Note : the total for France and therefore the European aggregates include the overseas departments

Employed persons as a share of total population of the same age class - 2004 - NUTS 2

43

Map 3.2.6

44

Table 3.2.7.a

Country (1) PR (2) IR (3) PU MS value

Belgium n.a. n.a. n.a. 8.4Czech Republic 6.9 9.1 3.9 8.3Denmark 5.7 5.7 5.0 5.5Germany n.a. n.a. n.a. 10.3Estonia 8.2 8.5 17.9 9.7Greece n.a. n.a. n.a. 10.5Spain 12.7 12.0 9.0 excl. ES417 11.0France 8.1 9.2 11.2 excl. FR814 9.6Ireland 4.6 4.4 4.5Italy 9.8 8.9 7.1 8.0Cyprus 4.9 4.9Latvia 9.6 11.7 10.3 10.4Lithuania 11.7 11.2 11.4Luxembourg 4.8 4.8Hungary 6.7 6.2 4.4 6.1Malta 7.2 7.2Netherlands 5.9 5.2 4.4 4.6Austria n.a. n.a. n.a. 4.9Poland 19.4 20.2 16.3 19.0Portugal n.a. n.a. n.a. 6.7Slovenia 7.2 4.8 6.3Slovakia 23.4 18.1 8.3 18.2Finland 10.0 7.2 excl. FI200 8.8Sweden 6.6 6.3 6.5United Kingdom n.a. n.a. n.a. 4.7Bulgaria 12.5 13.0 10.0 12.0Romania 7.4 9.0 7.5 8.1EU25 11.6 10.7 8.5 excl. BE, DE, EL, AT, PT, UK 9.2EU15 8.5 9.4 7.8 excl. BE, DE, EL, AT, PT, UK 8.2NMS10 15.8 13.9 12.5 14.3EU27 11.0 10.6 8.5 excl. BE, DE, EL, AT, PT, UK 9.2

Table 3.2.7.b

Country (1) PR (2) IR (3) PU MS value

Belgium 8.0 12.2 7.8 8.4Czech Republic 8.9 3.9 8.3Denmark 5.5 5.5Germany 5.8 11.2 9.5 10.3Estonia 9.7 9.7Greece 11.2 11.5 9.1 10.5Spain 12.3 12.8 9.0 11.0France 9.4 9.0 11.3 9.6Ireland 4.7 4.5 4.5Italy 11.1 8.6 7.1 8.0Cyprus 4.9 4.9Latvia 10.4 10.4Lithuania 11.4 11.4Luxembourg 4.8 4.8Hungary 6.9 6.7 4.5 6.1Malta 7.2 7.2Netherlands 5.3 4.4 4.6Austria 4.1 3.8 8.9 4.9Poland 18.8 19.0 19.3 19.0Portugal 5.3 7.4 7.6 excl. PT20 &30 6.7Slovenia 6.3 6.3Slovakia 19.6 8.3 18.2Finland 8.9 excl. FI20 8.8Sweden 6.6 6.4 6.5United Kingdom 4.8 4.0 5.0 4.7Bulgaria 13.2 9.4 12.0Romania 7.5 9.3 7.6 8.1EU25 10.1 10.1 7.8 9.2EU15 7.9 9.0 7.6 8.2NMS10 14.3 14.9 11.6 14.3EU27 9.9 10.1 7.8 9.2Note : the total for France and therefore the European aggregates include the overseas departments

Objective 3 - Unemployment

Note : the total for France and therefore the European aggregates include the overseas departments

Objective 3 - UnemploymentRate of unemployment (% of active population) - 2004 - NUTS 2

Rate of unemployment (% of active population) - 2004 - NUTS 3

45

Map 3.2.7

46

Table 3.2.8

Country (1) PR (2) IR (3) PU

Belgium 3.5 6.7 3.7 4.1Czech Republic 4.6 1.7 4.2Denmark 1.2 1.2Germany 1.2 5.9 4.9 DE4-2003 5.4Estonia 5.0 5.0Greece 5.8 6.5 4.7 5.6Spain 3.7 4.1 2.9 3.5France 4.2 3.5 5.6 3.9Ireland 1.8 1.5 1.6Italy 5.6 4.5 3.3 4.0Cyprus 1.3 1.4Latvia 4.6 4.6Lithuania 5.8 5.8Luxembourg 1.1 1.1Hungary 3.0 3.0 2.0 2.7Malta 3.4 3.6Netherlands 2.0 1.5 1.6Austria 1.0 0.6 3.4 1.3Poland 9.4 10.4 11.9 10.3Portugal 2.2 3.4 3.2 3.0Slovenia 3.2 3.2Slovakia 12.9 3.9 11.8Finland 2.1 2.1Sweden 1.3 1.2 1.2United Kingdom 1.0 0.8 1.0 1.0Bulgaria 7.9 5.5 7.2Romania 4.4 5.6 4.2 4.5EU25 4.2 4.7 3.3 4.1EU15 2.7 3.8 3.2 3.4NMS10 7.1 8.2 6.6 7.6EU27 4.5 4.7 3.3 4.1 G2Note: The total for France and therefore the European aggregates include the data for overseas departments at regional level, on the contrary of the harmonised rate of long-term unemployment.

Context 21 - Long-Term Unemployment % long-term unemployment (as a share of active population) - 2004 - NUTS 2

MS harmonised long term unemployment rate

47

Map 3.2.8

48

49

SECTION 3.3 SECTORAL ECONOMIC INDICATORS

50

Table 3.3.1.i

Country (1) PR (2) IR (3) PU MS value

Belgium 5.7 12.0 80.2 98.0Czech Republic 184.5 2.8 187.4Denmark 97.0 97.0Germany 637.2 301.9 NUTS 1 939.0Estonia 38.1 38.1Greece 414.9 177.0 15.8 607.7Spain 120.5 687.0 173.1 excl. ES63 980.0France 65.0 713.7 49.0 827.8Ireland 46.3 74.0 120.3Italy 90.6 621.5 334.4 excl. ITD1 & 2 1 077.6Cyprus 23.0 23.0Latvia 140.4 2001 140.4Lithuania 249.8 249.8Luxembourg 4.0 4.0Hungary 157.0 76.1 23.8 2001 256.9Malta 2.6 2001 2.6Netherlands 44.3 180.6 LFS A_B 225.1Austria 128.1 52.3 4.5 185.0Poland 954.3 1 275.6 99.9 2 330.0Portugal 229.4 205.6 29.0 464.0Slovenia 99.9 99.9Slovakia 95.1 5.5 100.5Finland 123.8 123.9Sweden 81.1 21.8 102.9United Kingdom 14.8 286.8 174.6 2001 476.2Bulgaria 668.0 100.6 768.5Romania 2 543.7 965.1 24.9 LFS A_B 3 533.6EU25 2 781.2 5 467.0 1 477.7 9 757.1EU15 1 320.2 3 634.2 1 343.1 6 328.5NMS10 1 461.0 1 832.8 134.6 3 428.6EU27 5 992.9 6 532.7 1 502.6 14 059.2

Table 3.3.1.ii

Country (1) PR (2) IR (3) PU MS value

Belgium 6.7 2.4 2.3 2.4Czech Republic 4.4 0.4 3.8Denmark 3.5 3.5Germany 3.4 1.5 NUTS 1 2.4Estonia 6.5 6.5Greece 27.3 19.6 1.1 15.5Spain 12.0 9.1 2.2 excl. ES63 5.9France 6.3 4.3 0.7 3.3Ireland 10.7 5.5 6.8Italy 6.9 5.8 2.9 excl. ITD1 & 2 4.5Cyprus 7.1 7.1Latvia 14.6 2001 14.6Lithuania 17.7 17.7Luxembourg 1.4 1.4Hungary 11.2 5.8 2.0 2001 6.6Malta 1.7 2001 1.7Netherlands 3.8 2.6 LFS A_B 2.8Austria 7.1 4.8 0.5 4.9Poland 25.1 16.8 6.2 17.9Portugal 16.2 10.2 1.8 9.2Slovenia 11.2 11.2Slovakia 5.8 1.5 5.0Finland 5.3 5.3Sweden 3.0 1.3 2.4United Kingdom 8.1 3.1 0.9 2001 1.6Bulgaria 31.8 11.5 25.8Romania 45.7 31.2 2.7 LFS A_B 36.8EU25 13.0 6.0 1.7 4.9EU15 9.5 4.9 1.7 3.7NMS10 19.5 11.0 3.3 12.2EU27 20.6 6.9 1.7 6.7

(Objective 8) - Employment Development of Primary Sector Share of employment in primary sector (A - as % of total employment) - 2002 - NUTS 2

Note : the total for France and therefore the European aggregates do not include the overseas departments

Objective 8 - Employment Development of Primary Sector

Note : the total for France and therefore the European aggregates do not include the overseas departments

1000 employed in primary sector (Branch A) - 2002 - NUTS 2

51

Map 3.3.1

52

Table 3.3.2.i

Country (1) PR (2) IR (3) PU

Belgium 148.2 358.5 2 480.7 2 987.4 3326.4Czech Republic 2 192.7 17.2 2 209.9 2 333.8Denmark 3 478.8 3 478.8 4 541.0Germany 15 187.0 6 792.0 21 979.0 NUTS 1 24 403.3Estonia 316.1 316.1 182.1Greece 5 397.0 2 609.3 174.1 8 180.4 7 330.7Spain 2 901.7 13 315.2 3 762.2 19 979.1 excl. ES63 20 537.9France 2 360.2 30 737.2 2 593.6 35 691.0 40 034.0Ireland 1 099.3 1 719.5 2 818.8 2 818.7 reg.accountsItaly 2 025.0 15 242.7 11 248.6 28 516.3 excl. ITD1 & 2 25 363.9Cyprus 394.2 394.2 319.0Latvia 388.8 388.8 334.3Lithuania 931.0 931.0 540.6Luxembourg 139.4 139.4 124.7Hungary 1 255.2 721.2 250.4 2 226.8 2 126.7Malta n.a. n.a. 79.4 reg.accounts 2000Netherlands 2 283.0 7 785.0 10 068.0 10 572.6Austria 2 877.3 1 022.8 134.7 4 034.8 4 885.7Poland 1 930.9 3 258.2 237.1 5 426.2 6 482.4Portugal 2 163.0 1 251.0 322.0 3 736.0 3 736.0 reg.accountsSlovenia 655.1 655.1 608.5Slovakia 991.4 53.0 1 044.4 959.3Finland 4 314.9 4 314.9 4 448.2Sweden 3 446.9 699.0 4 145.9 4 882.6United Kingdom 262.4 8 897.6 4 549.5 13 709.5 13 709.6 reg.accountsBulgaria 1 564.5 203.1 1 767.6 1 767.6 reg.accountsRomania 3 307.8 2 156.3 68.9 5 533.0 4 576.9EU25 31 768.1 105 203.6 40 400.1 177 371.8 excl. MT 184 681.4 exclud. MTEU15 26 995.9 96 941.0 39 842.4 163 779.3 170 715.3NMS10 4 772.2 8 262.6 557.7 13 592.5 excl. MT 13 886.7 exclud. MTEU27 36 640.4 107 563.0 40 469.0 184 672.4 excl.MT 191 025.9 exclud. MTNotes : - The total for France and therefore the European aggregates include the overseas departments

Table 3.3.2.ii

Country (1) PR (2) IR (3) PU

Belgium 3.6 1.4 1.2 1.2 1.5Czech Republic 4.1 0.1 3.1 5.3Denmark 2.2 2.2 3.2Germany 1.7 0.6 1.1 NUTS 1 1.2Estonia 4.7 4.7 4.8Greece 10.9 8.9 0.4 6.4 7.0Spain 8.6 4.8 1.1 3.0 excl. ES63 3.8France 4.6 3.6 0.5 2.5 3.1Ireland 5.2 1.8 2.4 2.4 reg.accountsItaly 3.5 3.0 1.9 2.5 excl. ITD1 & 2 2.8Cyprus 3.7 3.7 3.8Latvia 4.4 4.4 6.7Lithuania 6.9 6.9 8.7Luxembourg 0.6 0.6 0.6Hungary 7.8 4.2 0.9 3.7 5.4Malta n.a. n.a. n.a. n.a. 2.1 reg.accounts 2000Netherlands 4.2 2.2 2.5 2.9Austria 3.3 1.9 0.2 2.0 2.5Poland 4.4 3.0 1.0 3.1 5.5Portugal 7.5 3.1 0.7 3.2 3.2 reg.accountsSlovenia 3.1 3.1 3.5Slovakia 5.7 0.9 4.4 5.5Finland 3.5 3.5 3.9Sweden 2.6 0.7 1.8 2.4United Kingdom 4.3 2.0 0.4 0.9 0.9 reg.accountsBulgaria 17.4 3.6 12.1 12.1 reg.accountsRomania 16.7 14.6 0.7 12.6 17.1EU25 4.6 2.8 0.9 2.0 excl. MT 2.3 exclud. MTEU15 4.5 2.7 0.9 1.9 2.2NMS10 5.1 3.7 0.7 3.4 excl. MT 5.4 exclud. MTEU27 5.1 2.8 0.9 2.1 excl.MT 2.3 exclud. MTNotes : - The total for France and therefore the European aggregates include the overseas departments - The difference between National Accounts and Regional Accounts may be explained by a difference in the pace of update.

- The difference between National Accounts and Regional Accounts may be explained by a difference in the pace of update.

Gross Value Added in primary sector (Branch A) in Million Euros - 2002 - NUTS 2 Objective 9 - Economic Development of Primary Sector

MS - Summary of available data (Regional Accounts)

MS value (National accounts, unless precised)

Objective 9 - Economic Development of Primary Sector Share of GVA in primary sector (A - as % of total GVA) - 2002 - NUTS 2

MS - Summary of available data (Regional Accounts)

MS value (National accounts, unless precised)

53

Map 3.3.2

54

Table 3.3.3.a

Country % UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

crops

% UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

crops

% UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

crops

% UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

cropsBelgium 26.3 73.7 0.1 49.4 50.1 0.4 69.2 28.6 2.1 60.1 38.4 1.5Czech Republic 79.2 20.6 0.0 73.8 25.0 1.1 97.5 1.9 0.5 74.5 24.4 1.0Denmark 92.7 7.1 0.2 93.5 5.9 0.7 90.4 8.7 0.8 92.8 6.8 0.4Germany 72.4 27.3 0.3 69.6 29.5 0.9 68.4 28.1 3.4 69.7 29.1 1.2Estonia 73.8 25.5 0.2 65.0 33.6 0.5 58.9 39.8 0.2 67.3 31.5 0.4Greece 52.1 21.4 26.2 50.3 19.5 29.8 30.9 4.2 64.7 51.3 20.7 27.7Spain n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 48.9 33.9 17.3France 64.2 33.7 2.0 67.5 27.0 5.4 63.6 29.8 6.6 66.0 29.9 4.1Ireland 26.0 73.9 0.0 37.0 62.8 0.0 27.1 72.9 0.0Italy 54.6 33.9 11.3 56.5 23.1 20.1 54.4 19.4 25.9 55.5 25.4 18.8Cyprus 73.6 0.2 26.1 73.6 0.2 26.1Latvia 65.0 33.5 1.5 61.1 37.6 1.4 86.7 13.3 0.0 63.2 35.3 1.5Lithuania 61.0 38.2 0.8 57.9 41.0 1.1 60.1 39.1 0.9Luxembourg 48.3 50.6 1.1 48.3 50.6 1.1Hungary 82.5 12.1 4.7 83.3 11.9 4.2 63.5 26.8 9.6 82.5 12.3 4.6Malta 86.1 0.0 10.0 86.1 0.0 10.0Netherlands 58.8 40.3 0.9 52.3 45.7 2.0 54.9 43.6 1.6Austria 46.3 50.8 2.7 32.0 67.5 0.3 61.6 24.8 13.1 42.2 55.6 2.0Poland 75.6 22.3 2.0 77.3 20.8 1.8 73.4 24.9 1.6 76.2 21.8 1.9Portugal 41.5 40.6 17.5 33.2 42.0 23.7 57.2 26.3 15.6 41.0 40.1 18.3Slovenia n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 35.0 58.7 5.9Slovakia 69.3 28.7 1.7 56.1 42.8 1.0 84.8 10.1 5.0 62.0 36.4 1.4Finland 98.5 1.3 0.2 98.8 1.0 0.2 98.6 1.2 0.2Sweden 83.5 16.3 0.2 87.3 11.8 0.9 84.2 15.4 0.3United Kingdom 5.0 95.0 0.0 42.4 57.4 0.1 45.7 53.9 0.5 39.2 60.6 0.2Bulgaria 91.5 4.3 3.5 93.9 2.0 3.5 79.9 17.6 0.5 92.1 3.7 3.5Romania 63.1 33.2 2.5 62.1 34.1 2.4 96.5 2.8 0.7 63.0 33.3 2.5EU25 62.1 33.2 4.5 63.3 31.9 4.7 56.4 36.4 7.1 excl. ES, SI 59.8 33.1 6.9EU15 56.8 37.5 5.5 60.9 33.6 5.4 55.8 36.9 7.3 excl. ES 56.7 35.2 8.0NMS10 74.5 23.0 2.3 72.5 25.3 1.9 74.5 21.9 3.4 excl. SI 73.0 24.6 2.2EU27 63.2 32.3 4.2 63.6 31.7 4.5 56.7 36.1 7.1 excl. ES, SI 60.6 32.7 6.5

Table 3.3.3.b

Country

% UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

crops

% UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

crops

% UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

crops

% UAA in arable land

% UAA in permanent

pasture

% UAA in permanent

cropsBelgium 53.6 46.1 0.3 67.8 29.2 3.0 60.1 38.4 1.5Czech Republic 74.4 24.5 1.0 97.5 1.9 0.5 74.5 24.4 1.0Denmark 92.8 6.8 0.4 92.8 6.8 0.4Germany 71.3 27.6 1.0 64.0 34.1 1.9 69.7 29.1 1.2Estonia 67.3 31.5 0.4 67.3 31.5 0.4Greece 41.1 25.9 32.6 77.9 8.5 13.4 30.9 4.2 64.7 51.3 20.7 27.7Spain 52.1 31.5 16.4 49.6 35.1 15.3 34.4 32.9 32.6 48.9 33.9 17.3France 63.4 32.8 3.7 65.2 30.5 4.3 83.6 15.0 1.5 66.0 29.9 4.1Ireland 21.2 78.8 0.0 31.6 68.3 0.1 27.1 72.9 0.0Italy 50.6 40.6 8.6 56.4 22.9 24.2 61.9 22.5 15.3 55.5 25.4 18.8Cyprus 73.6 0.2 26.1 73.6 0.2 26.1Latvia 63.2 35.3 1.5 63.2 35.3 1.5Lithuania 60.1 39.1 0.9 60.1 39.1 0.9Luxembourg 48.3 50.6 1.1 48.3 50.6 1.1Hungary 83.2 12.0 4.3 82.3 12.3 4.7 77.9 14.6 6.7 82.5 12.3 4.6Malta 86.1 0.0 10.0 86.1 0.0 10.0Neteherlands 48.2 51.7 0.1 57.5 40.4 2.1 54.9 43.6 1.6Austria 26.6 71.2 1.9 47.2 50.5 2.0 42.2 55.6 2.0Poland 76.5 21.4 1.9 76.1 21.9 1.9 73.5 24.9 1.4 76.2 21.8 1.9Portugal 44.6 40.8 14.1 35.5 45.5 35.4 48.9 31.8 18.7 41.0 40.1 18.3Slovenia 35.0 58.7 5.9 35.0 58.7 5.9Slovakia 61.1 37.5 1.2 84.8 10.1 5.0 62.0 36.4 1.4Finland 98.7 1.0 0.2 98.3 1.6 0.2 98.6 1.2 0.2Sweden 83.8 16.1 0.2 86.1 13.0 0.9 84.2 15.4 0.3United Kingdom 35.3 64.6 0.1 49.3 50.2 0.5 39.2 60.6 0.2Bulgaria 93.3 2.6 3.4 68.1 24.8 5.2 92.1 3.7 3.5Romania 65.3 30.9 2.6 58.5 38.1 2.4 94.9 2.6 1.4 63.0 33.3 2.5EU25 59.7 31.5 8.7 60.5 33.8 6.1 57.8 33.8 8.3 59.8 33.1 6.9EU15 53.8 34.5 11.5 57.8 35.7 6.9 56.9 34.5 8.5 56.7 35.2 8.0NMS10 72.6 24.8 2.4 73.1 24.8 2.0 76.9 18.7 4.0 73.0 24.6 2.2EU27 62.7 29.7 7.3 60.4 34.0 5.9 58.2 33.4 8.2 60.6 32.7 6.5

Context 3 - Agricultural Land Use - 2003 - FSS District level(1)PR (2)IR (3)PU MS value

(3)PU MS value

Note : the total for France and therefore the European aggregates include the overseas departments

Note : the total for France and therefore the European aggregates include the overseas departments

Context 3 - Agricultural Land Use - 2003 - FSS Region level (1)PR (2)IR

55

Map 3.3.3

56

Table 3.3.4.1.a

Country % PR % IR % PU MS total number of holdings

Belgium 6.2 14.7 79.2 54 940Czech Republic 11.0 88.8 0.2 45 770Denmark 67.1 26.9 6.0 48 610Germany 10.6 64.2 25.2 412 300Estonia 17.9 78.9 3.2 36 860Greece 69.4 27.4 3.2 824 460Spain n.a. n.a. n.a. 1 140 730France 36.7 57.1 6.2 614 000Ireland 92.6 7.4 135 250Italy 19.8 53.3 26.9 1 963 820Cyprus 100.0 45 200Latvia 50.3 49.7 0.0 126 610Lithuania 63.7 36.3 272 110Luxembourg 100.0 2 450Hungary 69.0 30.5 0.5 773 380Malta 100.0 10 990Netherlands 24.1 75.9 85 500Austria 72.0 27.6 0.4 173 770Poland 52.6 44.0 3.4 2 172 210Portugal 53.4 32.9 13.7 359 280Slovenia n.a. n.a. n.a. 77 150Slovakia 41.4 55.3 3.2 71 740Finland 81.4 18.6 74 950Sweden 84.1 15.9 67 890United Kingdom 2.8 64.3 32.9 280 630Bulgaria 75.6 23.3 1.2 665 550Romania 58.8 41.1 0.1 4 484 890EU25 43.8 44.1 12.1 excl. ES, SI 9 870 590EU15 36.0 45.4 18.7 excl. ES 6 238 590NMS10 55.0 42.4 2.6 excl. SI 3 632 000EU27 50.2 42.2 7.6 excl. ES, SI 15 021 030

Table 3.3.4.1.b

Country % PR % IR % PU MS total number of holdings

Belgium 33.4 66.6 54 940Czech Republic 99.8 0.2 45 770Denmark 100.0 48 610Germany 64.9 35.1 412 300Estonia 100.0 36 860Greece 72.9 23.9 3.2 824 460Spain 18.8 59.6 21.6 1 140 730France 8.3 84.1 7.6 614 000Ireland 52.8 47.2 135 250Italy 12.0 60.5 27.4 1 963 820Cyprus 100.0 45 200Latvia 100.0 126 610Lithuania 100.0 272 110Luxembourg 100.0 2 450Hungary 58.2 33.9 8.0 773 380Malta 100.0 10 990Netherlands 17.1 82.9 85 500Austria 32.1 67.9 173 770Poland 41.4 52.7 6.0 2 172 210Portugal 50.2 43.4 6.5 359 280Slovenia 100.0 77 150Slovakia 96.8 3.2 71 740Finland 68.3 31.7 74 950Sweden 82.1 17.9 67 890United Kingdom 64.3 35.7 280 630Bulgaria 83.0 17.0 665 550Romania 67.4 31.0 1.6 4 484 890EU25 32.6 52.9 14.6 9 870 590EU15 24.3 55.9 19.8 6 238 590NMS10 46.7 47.6 5.6 3 632 000EU27 45.2 44.7 10.1 15 021 030Note : the total for France and therefore the European aggregates include the overseas departments

(Context 4) - Farm Structure

2003 - FSS District level% of farms in the different types of areas

2003 - FSS Region level % of farms in the different types of areas

Note : the total for France and therefore the European aggregates include the overseas departments

(Context 4) - Farm Structure

57

Map 3.3.4.1

58

Table 3.3.4.2.a

Country % PR % IR % PU MS total UAA (ha)

Belgium 10.6 23.3 66.1 1 394 400Czech Republic 10.4 89.4 0.3 3 631 550Denmark 70.4 25.4 4.2 2 658 210Germany 8.8 74.7 16.4 16 981 750Estonia 28.1 69.4 2.5 795 640Greece 74.1 24.4 1.6 3 967 770Spain n.a. n.a. n.a. 25 175 260France 41.3 54.9 3.8 27 795 240Ireland 90.3 9.7 4 371 710Italy 29.3 49.3 21.4 13 115 810Cyprus 100.0 156 380Latvia 55.6 44.4 0.0 1 489 350Lithuania 69.2 30.8 2 490 960Luxembourg 100.0 128 160Hungary 68.0 30.7 1.3 4 352 370Malta 100.0 10 790Netherlands 39.3 60.7 2 007 260Austria 71.0 28.8 0.3 3 257 220Poland 61.7 36.5 1.8 14 426 320Portugal 80.2 15.0 4.8 3 725 190Slovenia n.a. n.a. n.a. 486 470Slovakia 36.3 59.7 4.0 2 137 500Finland 77.8 22.2 2 244 700Sweden 80.4 19.6 3 126 910United Kingdom 11.5 57.6 31.0 16 105 810Bulgaria 72.5 27.1 0.4 2 904 480Romania 61.1 38.2 0.8 13 930 710EU25 40.6 48.2 11.2 excl. ES, SI 156 032 740EU15 36.8 49.2 14.0 excl. ES 126 055 410NMS10 53.5 44.9 1.5 excl. SI 29 977 330EU27 43.2 46.8 10.0 excl. ES, SI 172 867 930

Table 3.3.4.2.b

Country % PR % IR % PU MS total UAA (ha)

Belgium 54.4 45.6 1 394 400Czech Republic 99.7 0.3 3 631 550Denmark 100.0 2 658 210Germany 77.5 22.5 16 981 750Estonia 100.0 795 640Greece 70.3 28.1 1.6 3 967 770Spain 29.2 61.1 9.7 25 175 260France 10.0 84.4 5.6 27 795 240Ireland 43.4 56.6 4 371 710Italy 17.8 58.2 24.0 13 115 810Cyprus 100.0 156 380Latvia 100.0 1 489 350Lithuania 100.0 2 490 960Luxembourg 100.0 128 160Hungary 60.1 32.9 7.0 4 352 370Malta 100.0 10 790Netherlands 28.6 71.4 2 007 260Austria 24.3 75.7 3 257 220Poland 38.5 58.8 2.6 14 426 320Portugal 72.0 25.7 2.3 3 725 190Slovenia 100.0 486 470Slovakia 96.0 4.0 2 137 500Finland 63.0 37.0 2 244 700Sweden 79.0 21.0 3 126 910United Kingdom 72.3 27.7 16 105 810Bulgaria 95.1 4.9 2 904 480Romania 58.2 40.3 1.5 13 930 710EU25 22.9 65.3 11.8 156 032 740EU15 19.4 66.6 14.0 126 055 410NMS10 37.2 60.2 2.6 29 977 330EU27 26.9 62.3 10.8 172 867 930Note : the total for France and therefore the European aggregates include the overseas departments

2003 - FSS Region level

(Context 4) - Farm Structure% of UAA in the different types of areas

2003 - FSS District level

Note : the total for France and therefore the European aggregates include the overseas departments

% of UAA in the different types of areas(Context 4) - Farm Structure

59

Map 3.3.4.2

60

Table 3.3.4.3.1.a

Country (1)PR (2)IR (3)PU MS valueBelgium 43.6 40.4 21.2 25.4Czech Republic 74.9 79.9 95.4 79.4Denmark 57.3 51.6 38.8 54.7Germany 34.3 48.0 26.8 41.2Estonia 33.8 19.0 16.7 21.6Greece 5.1 4.3 2.4 4.8Spain n.a. n.a. n.a. 22.1France 50.9 43.6 27.6 45.3Ireland 31.5 42.3 32.3Italy 9.9 6.2 5.3 6.7Cyprus 3.5 3.5Latvia 13.0 10.5 2.0 11.8Lithuania 9.9 7.8 9.2Luxembourg 52.3 52.3Hungary 5.6 5.7 13.0 5.6Malta 1.0 1.0Netherlands 38.4 18.8 23.5Austria 18.5 19.6 13.3 18.7Poland 7.8 5.5 3.6 6.6Portugal 15.6 4.7 3.6 10.4Slovenia n.a. n.a. n.a. 6.3Slovakia 26.1 32.2 36.7 29.8Finland 28.6 35.7 29.9Sweden 44.1 56.6 46.1United Kingdom 230.8 51.4 54.1 57.4Bulgaria 4.2 5.1 1.7 4.4Romania 3.2 2.9 24.6 3.1EU25 14.0 16.5 14.0 excl. ES, SI 15.8EU15 20.2 21.5 14.9 excl. ES 20.2NMS10 8.1 8.8 4.9 excl. SI 8.3EU27 9.2 11.8 13.9 excl. ES, SI 11.5

Table 3.3.4.3.1.b

Country (1)PR (2)IR (3)PU MS valueBelgium 41.4 17.4 25.4Czech Republic 79.3 95.4 79.4Denmark 54.7 54.7Germany 49.2 26.4 41.2Estonia 21.6 21.6Greece 4.6 5.7 2.4 4.8Spain 34.3 22.6 9.9 22.1France 54.1 45.5 33.2 45.3Ireland 26.6 38.8 32.3Italy 9.9 6.4 5.9 6.7Cyprus 3.5 3.5Latvia 11.8 11.8Lithuania 9.2 9.2Luxembourg 52.3 52.3Hungary 5.8 5.5 5.0 5.6Malta 1.0 1.0Netherlands 39.3 20.2 23.5Austria 14.2 20.9 18.7Poland 6.2 7.4 2.9 6.6Portugal 14.9 6.1 3.7 10.4Slovenia 6.3 6.3Slovakia 29.6 36.7 29.8Finland 27.6 34.9 29.9Sweden 44.3 54.2 46.1United Kingdom 64.5 44.6 57.4Bulgaria 5.0 1.3 4.4Romania 2.7 4.0 2.9 3.1EU25 11.1 19.5 12.8 15.8EU15 16.2 24.1 14.3 20.2NMS10 6.6 10.4 3.9 8.3EU27 6.8 16.0 12.3 11.5

Note : the total for France and therefore the European aggregates include the overseas departments

Average physical farm size (ha) in the different types of areas

Context 4 - Farm StructureAverage physical farm size (ha) in the different types of areas

Context 4 - Farm Structure

2003 - FSS Region level

2003 - FSS District level

Note : the total for France and therefore the European aggregates include the overseas departments

61

Map 3.3.4.3.1

62

Table 3.3.4.3.2.a

Country % of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

% of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

% of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

% of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

Belgium 11.5 50.4 38.1 17.9 52.9 29.3 31.1 58.5 10.4 28.0 57.1 14.9Czech Republic 55.9 31.8 12.3 58.4 28.0 13.7 n.s. n.s. 20.0 58.1 28.4 13.5Denmark 2.7 59.4 37.9 5.6 62.0 32.3 6.5 73.5 19.6 3.7 61.0 35.3Germany 19.1 74.8 13.9 21.4 54.7 22.3 30.6 51.8 17.5 23.6 56.1 20.3Estonia 46.1 44.8 9.1 51.8 43.0 5.1 52.5 43.2 4.2 50.8 43.4 5.8Greece 74.3 24.4 0.9 79.2 19.7 0.6 89.0 10.8 0.2 76.1 23.1 0.8Spain n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 55.0 36.3 8.7France 20.2 38.5 38.2 28.6 38.0 31.4 44.8 38.0 16.4 27.6 39.4 32.9Ireland 7.4 17.2 75.4 11.8 27.3 60.9 7.7 74.3 18.0Italy 63.0 23.4 2.7 73.6 10.7 1.0 75.5 9.3 0.8 76.8 21.1 2.1Cyprus 87.5 11.5 0.9 87.5 11.5 0.9Latvia 53.5 42.9 3.6 47.8 49.9 2.3 0.0 0.0 0.0 50.6 46.4 3.0Lithuania 59.6 38.3 2.1 66.4 32.2 1.4 62.1 36.1 1.9Luxembourg 19.6 34.7 45.7 19.6 34.7 45.7Hungary 88.5 10.1 1.4 92.3 6.4 1.3 82.1 13.9 3.8 89.6 9.0 1.4Malta 97.7 2.3 0.0 97.7 2.3 0.0Netherlands 14.8 58.1 27.1 34.2 58.3 7.4 29.6 58.2 12.2Austria 35.1 58.5 6.4 24.2 71.3 4.5 67.6 28.2 4.2 32.2 61.9 5.9Poland 59.3 39.7 1.0 73.6 25.7 0.7 86.5 13.1 0.5 66.5 32.7 0.8Portugal 69.5 25.2 4.5 83.7 14.6 0.6 87.5 12.1 0.5 76.7 20.6 2.7Slovenia n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 57.6 42.2 0.3Slovakia 91.2 5.5 3.3 92.4 4.3 3.4 90.9 5.2 3.9 91.9 4.8 3.3Finland 10.0 75.0 15.0 9.9 67.1 23.1 9.9 73.5 16.5Sweden 10.5 62.0 27.6 10.3 57.2 32.5 10.4 61.2 28.4United Kingdom 27.2 44.3 28.5 34.9 37.8 27.3 41.6 32.6 25.9 36.9 36.2 26.9Bulgaria 97.0 2.2 0.7 96.0 3.1 1.0 98.2 1.3 0.5 96.8 2.4 0.8Romania 93.1 6.6 0.3 94.6 5.0 0.3 96.1 2.0 1.8 93.8 5.9 0.3EU25 58.9 34.9 6.0 59.5 30.4 9.6 52.6 35.8 11.5 excl. ES, IT, SI 61.9 31.3 6.8EU15 47.2 40.1 12.2 40.9 38.6 19.4 45.1 40.9 13.9 excl. ES, IT 56.6 33.4 9.9NMS10 67.5 31.1 1.4 75.1 23.5 1.4 87.2 12.0 0.7 excl.SI 71.0 27.7 1.3EU27 75.6 21.0 3.3 74.2 19.7 5.7 53.7 35.0 11.3 excl. ES, IT, SI 73.0 22.5 4.6

- The total for France and therefore the European aggregates include the overseas departments - In France, due to data availability, the % of farms in the first 2 classes may be slightly underestimated in PR & IR regions (leading to a total <100%) - In Portugal & Greece, due to data availability, the % of farms in the last 2 classes is slighlty underestimated in PR & IR regions (leading to a total < 100%)

Table 3.3.4.3.2.b

Country % of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

% of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

% of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

% of farms < 5ha

% of farms >5 - <50 ha

% of farms > 50 ha

Belgium 16.0 52.1 32.0 34.0 59.7 6.3 28.0 57.1 14.9Czech Republic 58.1 28.4 13.5 n.s. n.s. 20.0 58.1 28.4 13.5Denmark 3.7 61.0 35.3 3.7 61.0 35.3Germany 20.7 57.0 22.2 29.0 54.3 16.7 23.6 56.1 20.3Estonia 50.8 43.4 5.8 50.8 43.4 5.8Greece 77.7 21.4 0.8 69.4 29.9 0.7 89.0 10.8 0.2 76.1 23.1 0.8Spain 42.3 44.0 13.7 53.5 37.3 9.2 70.1 26.9 3.0 55.0 36.3 8.7France 18.4 39.0 42.6 26.8 40.4 32.8 46.8 29.6 23.6 27.6 39.4 32.9Ireland 7.9 80.4 11.7 7.5 67.5 25.0 7.7 74.3 18.0Italy 68.0 28.1 3.9 77.3 20.9 1.8 79.7 18.3 1.8 76.8 21.1 2.1Cyprus 87.5 11.5 0.9 87.5 11.5 0.9Latvia 50.6 46.4 3.0 50.6 46.4 3.0Lithuania 62.1 36.1 1.9 62.1 36.1 1.9Luxembourg 19.6 34.7 45.7 19.6 34.7 45.7Hungary 87.8 10.8 1.4 92.4 6.2 1.4 91.6 7.2 1.2 89.6 9.0 1.4Malta 97.7 2.3 0.0 97.7 2.3 0.0Netherlands 15.3 56.4 28.2 32.5 58.6 8.9 29.6 58.2 12.2Austria 40.1 56.5 3.4 28.5 64.5 7.0 32.2 61.9 5.9Poland 69.3 30.0 0.8 62.0 37.1 0.9 87.5 12.2 0.3 66.5 32.7 0.8Portugal 76.9 18.7 4.4 74.5 24.5 1.0 89.5 9.6 0.8 76.7 20.6 2.7Slovenia 57.6 42.2 0.3 57.6 42.2 0.3Slovakia 91.9 4.8 3.3 90.9 5.2 3.9 91.9 4.8 3.3Finland 10.3 75.7 14.0 9.3 68.8 21.9 9.9 73.5 16.5Sweden 10.4 61.8 27.8 10.1 58.5 31.3 10.4 61.2 28.4United Kingdom 33.2 38.6 28.3 43.6 32.1 24.4 36.9 36.2 26.9Bulgaria 96.4 2.7 0.9 98.9 0.9 0.2 96.8 2.4 0.8Romania 95.0 4.8 0.2 90.8 8.7 0.5 98.4 1.3 0.4 93.8 5.9 0.3EU25 66.4 29.7 3.9 57.5 33.7 8.8 67.6 26.3 6.0 61.9 31.3 6.8EU15 59.7 33.3 7.0 52.7 35.0 12.3 64.0 29.0 6.9 56.6 33.4 9.9NMS10 72.5 26.4 1.1 67.3 31.0 1.7 89.2 10.1 0.6 71.0 27.7 1.3EU27 81.6 16.4 2.0 65.1 28.0 6.9 69.0 25.1 5.7 73.0 22.5 4.6Note : the total for France and therefore the European aggregates include the overseas departments

Context 4 - Farm StructureDistribution of farms by physical size (ha) in the different types of areas

MS distribution2003 - FSS Region level

(1)PR (2)IR (3)PU

Notes :

Context 4 - Farm StructureDistribution of farms by physical size (ha) in the different types of areas

2003 - FSS District level (1) PR (2) IR (3) PU) MS distribution

63

Map 3.3.4.3.2

64

Table 3.3.4.4.1.a

Country (1)PR (2)IR (3)PU MS valueBelgium 48.2 55.0 60.1 58.7Czech Republic 32.5 31.3 77.5 31.6Denmark 77.2 81.1 46.4 76.4Germany 37.4 55.3 46.0 51.0Estonia 5.7 3.2 2.9 3.7Greece 6.5 5.9 4.8 6.3Spain n.a. n.a. n.a. 15.1France 42.7 51.0 42.9 47.4Ireland 19.8 32.4 20.8Italy 8.6 9.6 11.3 9.9Cyprus 6.5 6.5Latvia 2.5 1.6 49.8 2.1Lithuania 1.7 1.5 1.6Luxembourg 42.7 42.7Hungary 2.3 2.2 4.6 2.3Malta 7.3 7.3Netherlands 95.5 95.6 95.6Austria 12.8 16.6 42.0 13.9Poland 4.1 2.8 2.0 3.5Portugal 6.3 6.5 7.2 6.5Slovenia n.a. n.a. n.a. 4.6Slovakia 7.2 6.9 11.9 7.2Finland 21.7 24.1 22.2Sweden 24.8 48.0 28.5United Kingdom 15.1 38.5 41.1 38.7Bulgaria 1.6 1.8 0.8 1.6Romania 1.2 1.1 7.9 1.1EU25 9.5 16.4 24.9 excl. ES, SI 14.4EU15 15.9 24.7 27.0 excl. ES 20.7NMS10 3.5 3.6 3.1 excl. SI 3.5EU27 5.7 11.1 24.6 excl. ES, SI 9.9

Table 3.3.4.4.1.b

Country (1)PR (2)IR (3)PU MS valueBelgium 57.0 59.5 58.7Czech Republic 31.5 77.5 31.6Denmark 76.4 76.4Germany 57.7 38.7 51.0Estonia 3.7 3.7Greece 5.8 7.9 4.8 6.3Spain 15.0 16.2 12.4 15.1France 40.5 48.4 44.0 47.4Ireland 14.2 28.1 20.8Italy 7.3 9.2 12.4 9.9Cyprus 6.5 6.5Latvia 2.1 2.1Lithuania 1.6 1.6Luxembourg 42.7 42.7Hungary 2.5 2.0 1.9 2.3Malta 7.3 7.3Netherlands 94.1 95.9 95.6Austria 10.3 15.7 13.9Poland 3.3 3.8 1.5 3.5Portugal 6.9 5.9 6.9 6.5Slovenia 4.6 4.6Slovakia 7.0 11.9 7.2Finland 21.7 23.1 22.2Sweden 24.8 45.6 28.5United Kingdom 38.5 39.0 38.7Bulgaria 1.8 0.8 1.6Romania 1.0 1.4 1.5 1.1EU25 6.4 17.3 21.5 14.4EU15 10.4 23.7 24.8 20.7NMS10 2.9 4.3 2.1 3.5EU27 3.7 13.7 20.6 9.9

Note : the total for France and therefore the European aggregates include the overseas departments

2003 - FSS District level

Context 4 - Farm StructureAverage economic farm size (ESU) in the different types of areas

2003 - FSS Region level

Note : the total for France and therefore the European aggregates include the overseas departments

Context 4 - Farm StructureAverage economic farm size (ESU) in the different types of areas

65

Map 3.3.4.4.1

66

Table 3.3.4.4.2.a

Country % of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

% of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

% of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

% of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

Belgium 5.9 81.4 12.7 8.7 74.5 16.8 9.0 70.6 20.5 8.7 71.9 19.4Czech Republic 55.3 39.8 5.0 60.9 33.8 5.3 20.2 67.7 12.1 60.2 34.6 5.2Denmark 0.2 73.9 25.8 0.2 75.9 23.9 0.9 87.1 12.0 0.3 75.2 24.5Germany 15.2 87.3 5.3 12.2 73.8 12.8 12.8 74.6 12.6 12.6 75.4 12.0Estonia 75.9 23.0 1.1 82.8 16.7 0.5 78.8 20.3 0.8 81.5 17.9 0.6Greece 36.1 63.8 0.1 39.3 60.6 0.1 52.9 46.9 0.2 37.5 62.4 0.1Spain n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 29.5 68.4 2.1France 15.2 74.7 10.2 15.2 70.5 14.3 13.3 76.2 10.5 15.0 72.4 12.6Ireland 14.6 2.0 83.4 11.6 6.3 82.1 14.4 83.3 2.3Italy 47.4 51.7 0.9 45.0 53.6 1.4 43.8 54.5 1.8 45.1 53.5 1.4Cyprus 56.2 43.1 0.8 56.2 43.1 0.7Latvia 81.8 18.0 0.2 85.5 14.4 0.1 40.0 20.0 40.0 83.6 16.3 0.1Lithuania 87.5 12.3 0.1 90.5 9.4 0.1 88.6 11.3 0.1Luxembourg 10.4 82.0 7.6 10.4 82.0 7.6Hungary 86.6 13.1 0.2 91.3 8.4 0.2 80.7 18.6 0.7 88.0 11.8 0.2Malta 48.3 51.0 0.7 48.4 50.9 0.7Netherlands 0.1 63.5 36.4 0.3 68.8 30.9 0.2 67.6 32.2Austria 30.1 69.2 0.7 21.4 77.7 0.8 18.2 75.2 6.6 27.7 71.5 0.8Poland 59.5 40.3 0.2 72.1 27.8 0.1 83.4 16.5 0.2 65.8 34.0 0.2Portugal 55.7 43.4 0.8 49.5 49.9 0.5 40.7 58.7 0.6 51.6 47.7 0.7Slovenia n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. 48.9 51.0 0.1Slovakia 91.0 7.7 1.2 91.8 6.7 1.5 90.5 7.3 2.2 91.4 7.2 1.4Finland 8.5 89.8 1.6 6.1 91.1 2.9 8.1 90.0 1.9Sweden 22.9 71.5 5.5 15.6 74.1 10.2 21.7 72.0 6.3United Kingdom 37.2 59.7 3.1 40.0 49.9 10.1 45.8 42.7 11.5 41.8 47.9 10.3Bulgaria 92.7 7.1 0.2 91.5 8.2 0.3 95.3 4.7 0.0 92.4 7.2 0.3Romania 91.7 8.2 0.1 93.1 6.8 0.1 92.0 6.8 1.1 92.3 7.6 0.1EU25 52.7 43.3 4.1 51.0 45.1 3.8 38.7 54.9 6.4 excl. ES, SI 47.8 49.4 2.8EU15 33.6 58.4 8.2 34.2 59.6 6.1 34.7 58.2 7.0 excl. ES 33.2 62.4 4.4NMS10 70.6 29.1 0.2 76.8 22.9 0.3 79.1 20.6 0.3 excl. SI 72.9 26.8 0.3EU27 70.5 27.3 2.3 65.4 32.0 2.5 39.3 54.4 6.4 excl. ES, SI 63.1 33.2 3.7

Table 3.3.4.4.2.b

Country % of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

% of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

% of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

% of farms < 2 ESU

% of farms 2-100 ESU

% of farms > 100 ESU

Belgium 7.7 74.4 17.9 9.3 70.6 20.2 8.7 71.9 19.4Czech Republic 60.2 34.6 5.2 20.2 67.7 10.0 60.2 34.6 5.2Denmark 0.3 75.3 24.5 0.3 75.2 24.5Germany 12.0 74.8 13.2 13.8 76.3 9.9 12.6 75.4 12.0Estonia 81.5 17.9 0.6 81.5 17.9 0.6Greece 39.0 60.9 0.1 31.0 68.9 0.2 52.9 46.9 0.2 37.5 62.4 0.1Spain 31.6 66.3 2.1 27.2 70.5 2.3 34.1 64.0 1.9 29.5 68.4 2.1France 13.2 78.2 8.5 15.3 71.7 12.9 14.1 73.0 12.9 15.0 72.4 12.6Ireland 17.7 81.3 1.0 10.8 85.4 3.8 14.4 83.3 2.3Italy 54.7 44.7 0.7 42.8 56.0 1.2 46.1 51.6 2.2 45.1 53.5 1.4Cyprus 56.2 43.1 0.8 56.2 43.1 0.7Latvia 83.6 16.2 0.1 83.6 16.3 0.1Lithuania 88.6 11.3 0.1 88.6 11.3 0.1Luxembourg 10.4 82.0 7.6 10.4 82.0 7.6Hungary 85.5 14.3 0.2 91.9 7.9 0.2 90.3 9.5 0.2 88.0 11.8 0.2Malta 48.4 51.0 0.7 48.4 50.9 0.7Netherlands 0.1 62.3 37.6 0.3 68.6 31.1 0.2 67.6 32.2Austria 35.9 63.6 0.5 23.8 75.3 0.9 27.7 71.5 0.8Poland 68.0 31.8 0.2 61.8 38.0 0.2 86.0 13.9 0.1 65.8 34.0 0.2Portugal 57.9 41.1 1.0 45.1 54.6 0.3 47.4 51.7 0.8 51.6 47.7 0.7Slovenia 48.9 51.0 0.1 48.9 51.0 0.1Slovakia 91.5 7.1 1.4 90.5 7.3 2.2 91.4 7.2 1.4Finland 9.0 89.4 1.6 6.2 91.5 2.3 8.1 90.0 1.9Sweden 23.0 71.5 5.5 15.9 74.3 9.8 21.7 72.0 6.3United Kingdom 38.8 51.0 10.2 47.3 42.1 10.6 41.8 47.9 10.3Bulgaria 91.7 8.0 0.3 95.9 4.1 0.0 92.4 7.2 0.3Romania 93.4 6.5 0.1 89.6 10.3 0.1 95.8 4.1 0.1 92.3 7.6 0.1EU25 58.1 41.3 0.6 43.1 53.4 3.5 42.4 52.2 5.4 47.8 49.4 2.8EU15 39.0 59.8 1.2 30.0 64.9 5.1 35.3 58.5 6.3 33.2 62.4 4.4NMS10 75.1 24.7 0.2 69.4 30.2 0.4 85.3 14.5 0.2 72.9 26.8 0.3EU27 76.6 23.1 0.3 53.6 43.7 2.7 44.9 49.9 5.1 63.1 33.2 3.7Note : the total for France and therefore the European aggregates include the overseas departments

2003 - FSS Region level MS distribution(1)PR (2)IR (3)PU

Context 4 - Farm Structure

Note : the total for France and therefore the European aggregates include the overseas departments

Context 4 - Farm StructureDistribution of farms by economic size (ESU) in the different types of areas

MS distribution(1) PR (2) IR (3) PU)2003 - FSS District level

Distribution of farms by economic size (ESU) in the different types of areas

67

Map 3.3.4.4.2

68

Table 3.3.4.5.a

Country % PR % IR % PU MS total agricultural labour force (AWU)

Belgium 5.4 12.2 82.4 72 460Czech Republic 11.5 87.5 0.9 166 400Denmark 64.2 30.2 5.6 60 710Germany 10.2 67.0 22.7 688 780Estonia 23.4 73.4 3.3 37 520Greece 70.2 27.2 2.6 615 950Spain n.a. n.a. n.a. 997 770France 34.9 57.3 7.8 913 830Ireland 91.6 8.4 160 010Italy 18.6 53.4 28.1 1 475 980Cyprus 100.0 32 200Latvia 48.9 51.1 0.1 140 880Lithuania 64.7 35.3 222 130Luxembourg 100.0 3 960Hungary 69.0 30.2 0.8 525 790Malta 100.0 4 500Netherlands 20.2 79.8 186 260Austria 69.8 29.1 1.2 175 430Poland 55.9 41.9 2.2 2 190 870Portugal 50.3 33.0 16.7 455 160Slovenia n.a. n.a. n.a. 95 370Slovakia 36.1 59.8 4.1 118 630Finland 81.8 18.2 97 540Sweden 81.5 18.5 70 660United Kingdom 2.4 63.7 33.9 352 220Bulgaria 75.1 23.9 1.0 791 560Romania 60.6 39.1 0.2 2 699 510EU25 41.7 45.4 12.9 excl. ES, SI 9 861 020EU15 33.4 46.5 20.0 excl. ES 6 326 730NMS10 54.4 43.7 1.9 excl. SI 3 534 290EU27 48.0 42.7 9.4 excl. ES, SI 13 352 090

Table 3.3.4.5.b

Country % PR % IR % PU MS total agricultural labour force (AWU)

Belgium 29.2 70.8 72 460Czech Republic 99.1 0.9 166 400Denmark 100.0 60 710Germany 70.1 29.9 688 780Estonia 100.0 37 520Greece 72.3 25.1 2.6 615 950Spain 15.2 67.3 17.5 997 770France 7.7 84.2 8.1 913 830Ireland 49.1 50.9 160 010Italy 11.5 58.9 29.6 1 475 980Cyprus 100.0 32 200Latvia 100.0 140 880Lithuania 100.0 222 130Luxembourg 100.0 3 960Hungary 59.1 33.1 7.8 525 790Malta 100.0 4 500Netherlands 13.9 86.1 186 260Austria 30.2 69.8 175 430Poland 41.2 54.7 4.1 2 190 870Portugal 48.7 45.4 6.0 455 160Slovenia 100.0 95 370Slovakia 95.9 4.1 118 630Finland 69.3 30.7 97 540Sweden 79.6 20.4 70 660United Kingdom 63.8 36.2 352 220Bulgaria 84.3 15.7 791 560Romania 66.6 32.1 1.3 2 699 510EU25 28.9 56.8 14.3 9 861 020EU15 20.8 59.1 20.1 6 326 730NMS10 43.3 52.7 4.0 3 534 290EU27 39.8 49.4 10.9 13 352 090

(Context 4) - Farm Structure% of Agricultural Labour Force in the different types of areas

2003 - FSS District level

Note : the total for France and therefore the European aggregates include the overseas departments

Note : the total for France and therefore the European aggregates include the overseas departments

% of Agricultural Labour Force in the different types of areas 2003 - FSS Region level

(Context 4) - Farm Structure

69

Map 3.3.4.5

70

Table 3.3.5.a

Country (1)PR (2)IR (3)PU MS value

Belgium - - - 4.1Czech Republic 37.4 46.4 16.2 43.3Denmark - - - 0.0Germany - - - 5.4Estonia 55.3 61.9 56.8 60.5Greece - - - 20.6Spain - - - 14.2France - - - 7.8Ireland - - - 6.3Italy - - - 27.4Cyprus 37.1 37.1Latvia 58.5 58.2 0.0 58.4Lithuania 65.3 70.4 67.2Luxembourg - - - 6.0Hungary 76.8 84.8 72.0 79.2Malta 33.6 33.6Netherlands - - - 0.2Austria - - - 19.1Poland 45.3 56.8 74.7 51.4Portugal - - - 27.2Slovenia 20.0 21.7 20.4Slovakia 84.3 82.0 85.3 83.0Finland - - - 1.1Sweden - - - 11.3United Kingdom - - - 35.2Bulgaria 76.4 75.8 86.3 76.4Romania 70.3 76.8 87.5 73.0EU25 - - - 33.6EU15 - - - 19.0NMS10 55.6 61.5 69.7 58.5EU27 - - - 47.2

Table 3.3.5.b

Country (1)PR (2)IR (3)PU MS value

Belgium - - - 4.1Czech Republic 45.4 16.2 43.3Denmark - - - 0.0Germany - - - 5.4Estonia 60.5 60.5Greece - - - 20.6Spain - - - 14.2France - - - 7.8Ireland - - - 6.3Italy - - - 27.4Cyprus 37.1 37.1Latvia 58.4 58.4Lithuania 67.2 67.2Luxembourg - - - 6.0Hungary 75.0 85.3 84.0 79.2Malta 33.6 33.6Netherlands - - - 0.2Austria - - - 19.1Poland 52.4 47.7 76.1 51.4Portugal - - - 27.2Slovenia 20.4 20.4Slovakia 82.9 85.3 83.0Finland - - - 1.1Sweden - - - 11.3United Kingdom - - - 35.2Bulgaria 74.6 85.0 76.4Romania 73.8 70.5 86.8 73.0EU25 - - - 33.6EU15 - - - 19.0NMS10 59.3 55.6 76.3 58.5EU27 - - - 47.2

Objective 16 - Importance of Semi-Subsistence Farming in NMS % of farms < 1 ESU - FSS Region level - 2003

Note : the total for France and therefore the European aggregates include the overseas departments

Objective 16 - Importance of Semi-Subsistence Farming in NMS % of farms < 1 ESU - FSS District level - 2003

Note : the total for France and therefore the European aggregates include the overseas departments

71

Map 3.3.5

72

Table 3.3.6.a

Country (1) PR (2) IR (3) PU

Belgium 30.7 39.8 43.2 41.9Czech Republic n.a. n.a. n.a. n.a.Denmark 29.9 29.8 20.9 29.3Germany 48.0 58.6 58.2 excl. DEC (PU); DED3, DEE1 & DEE2 (IR) 56.1Estonia n.a. n.a. n.a. n.a.Greece 2.8 3.3 1.1 2.9Spain 5.6 6.1 6.1 5.9France 47.9 44.2 46.7 excl. FR101; FR9 (PU) 45.7Ireland 24.6 32.2 24.7Italy 6.8 7.8 9.3 8.0Cyprus n.a. n.a. n.a. n.a.Latvia n.a. n.a. n.a. 30.0Lithuania n.a. n.a. n.a. n.a.Luxembourg 51.6 51.6Hungary n.a. n.a. n.a. n.a.Malta n.a. n.a. n.a. n.a.Netherlands 68.2 62.7 63.9Austria 40.7 37.1 56.1 39.8Poland n.a. n.a. n.a. n.a.Portugal 5.4 7.1 7.2 6.2Slovenia n.a. n.a. n.a. n.a.Slovakia n.a. n.a. n.a. n.a.Finland 33.3 37.6 34.2Sweden n.a. n.a. n.a. n.a.United Kingdom 14.9 22.1 27.8 excl. UKJ3, UKH2, UKE3_4, UKD3_4_5 (PU) 22.7Bulgaria n.a. n.a. n.a. n.a.Romania n.a. n.a. n.a. n.a.EU25 n.a. n.a. n.a. n.a.EU15 14.8 18.6 20.2 excl. SE 17.5 excl. SENMS10 n.a. n.a. n.a. n.a.EU27 n.a. n.a. n.a. n.a.

Table 3.3.6.b

Country (1) PR (2) IR (3) PU

Belgium 41.4 42.1 41.9Czech Republic n.a. n.a. n.a. n.a.Denmark 29.3 29.3Germany 58.5 53.5 excl. DEC (PU) 56.1Estonia n.a. n.a. n.a. n.a.Greece 2.3 5.0 1.1 2.9Spain 4.4 5.9 7.2 5.9France 44.0 42.5 57.4 excl. FR90 (PU) 45.7Ireland 19.3 30.6 24.7Italy 6.8 8.0 8.6 8.0Cyprus n.a. n.a. n.a. n.a.Latvia n.a. n.a. n.a. 30.0Lithuania n.a. n.a. n.a. n.a.Luxembourg 51.6 51.6Hungary n.a. n.a. n.a. n.a.Malta n.a. n.a. n.a. n.a.Netherlands 67.0 63.7 63.9Austria 37.3 40.9 39.8Poland n.a. n.a. n.a. n.a.Portugal 6.0 6.9 3.8 6.2Slovenia n.a. n.a. n.a. n.a.Slovakia n.a. n.a. n.a. n.a.Finland 32.6 38.2 34.2Sweden n.a. n.a. n.a. n.a.United Kingdom 22.3 24.8 22.7Bulgaria n.a. n.a. n.a. n.a.Romania n.a. n.a. n.a. n.a.EU25 n.a. n.a. n.a.EU15 8.6 19.6 19.3 excl. SE 17.5 excl. SENMS10 n.a. n.a. n.a.EU27 n.a. n.a. n.a.

Objective 4 - Training and Education in Agriculture

MS value

Note : the total for France and therefore the European aggregates do not include the overseas departments

% of farmers with basic or full agricultural training - 2000 - FSS Region level

MS value

Note : the total for France and therefore the European aggregates do not include the overseas departments

Objective 4 - Training and Education in Agriculture % of farmers with basic or full agricultural training - 2000 - FSS District level

73

Map 3.3.6

74

Table 3.3.7.a

Country (1)PR (2)IR (3)PU MS value

Belgium 0.23 0.24 0.20 0.20Czech Republic 0.22 0.21 0.07 0.21Denmark 0.22 0.19 0.16 0.21Germany 0.68 0.49 0.40 0.48Estonia 0.24 0.18 0.13 0.19Greece 0.13 0.12 0.07 0.13Spain n.a. n.a. n.a. 0.11France 0.28 0.26 0.30 0.27Ireland 0.26 0.26 0.26

Italy 0.07 0.06 0.06 0.06Cyprus 0.14 0.14Latvia 0.16 0.19 0.00 0.17Lithuania 0.13 0.11 0.12Luxembourg 0.23 0.23Hungary 0.12 0.09 0.09 0.11Malta 0.13 0.13Netherlands 0.16 0.17 0.17Austria 0.46 0.71 0.20 0.52Poland 0.63 0.50 0.31 0.56Portugal 0.03 0.05 0.04 0.04Slovenia n.a. n.a. n.a. 0.07Slovakia 0.10 0.12 0.07 0.11Finland 0.33 0.24 0.31Sweden 0.13 0.13 0.13United Kingdom 0.07 0.06 0.05 0.06Bulgaria 0.08 0.06 0.04 0.08Romania 0.14 0.15 0.05 0.14EU25 0.23 0.18 0.10 excl. ES, SI 0.18EU15 0.14 0.12 0.09 excl. ES 0.12NMS10 0.33 0.32 0.26 excl. SI 0.32EU27 0.18 0.17 0.10 excl. ES, SI 0.16

Table 3.3.7.b

Country (1)PR (2)IR (3)PU MS value

Belgium 0.23 0.19 0.20Czech Republic 0.21 0.07 0.21Denmark 0.21 0.21Germany 0.49 0.46 0.48Estonia 0.19 0.19Greece 0.12 0.18 0.07 0.13Spain 0.09 0.12 0.07 0.11France 0.25 0.27 0.35 0.27Ireland 0.23 0.31 0.26Italy 0.06 0.06 0.06 0.06Cyprus 0.14 0.14Latvia 0.17 0.17Lithuania 0.12 0.12Luxembourg 0.23 0.23Hungary 0.12 0.09 0.09 0.11Malta 0.13 0.13Netherlands 0.16 0.17 0.17Austria 0.47 0.54 0.52Poland 0.53 0.62 0.32 0.56Portugal 0.03 0.05 0.03 0.04Slovenia 0.07 0.07Slovakia 0.11 0.07 0.11Finland 0.34 0.27 0.31Sweden 0.13 0.13 0.13United Kingdom 0.06 0.06 0.06Bulgaria 0.08 0.06 0.08Romania 0.15 0.15 0.10 0.14EU25 0.18 0.19 0.11 0.18EU15 0.11 0.13 0.10 0.12NMS10 0.28 0.38 0.21 0.32EU27 0.15 0.18 0.11 0.16

Objective 5 - Age Structure in Agriculture

Note : the total for France and therefore the European aggregates include the overseas departments

Ratio: % farmers <35 y.o. / >55 y.o. - 2003 - FSS Region level

Objective 5 - Age Structure in Agriculture

Note : the total for France and therefore the European aggregates include the overseas departments

Ratio: farmers <35 y.o. / >55 y.o. - 2003 - FSS District level

IT: missing data mainly in PU circonscriptions

75

Map 3.3.7

76

Table 3.3.8.i Table 3.3.8.ii

Indicator

Measurement

Source

Year

Unit

Subdivisions

(1) Specialist field

crops

(2) Specialist

horticulture

(3) Specialist permanent

Crops

(4) Specialist grazing

livestock

(5) Specialist granivore

(6) Mixed

cropping

(7) Mixed

livestock

(8) Mixed crops-

livestock

A28 General TF

CountryBelgium 216 57.5 37.4 40.3 43.5 60.6 47.4 55.5 48.8 46.3Czech Republic 41 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Denmark 266 52.9 45.8 37.3 60.9 78.9 44.6 65.8 59.9 58.3Germany 165 43.3 27.0 28.4 34.0 39.4 34.2 31.1 34.8 35.0Estonia 24 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Greece 82 13.8 14.8 10.6 11.7 n.s. 10.8 11.7 10.7 11.7Spain 155 25.1 18.8 15.2 22.3 44.0 19.2 33.3 25.9 20.1France 186 42.3 27.5 36.3 32.4 41.0 30.4 38.4 41.1 36.4Ireland 96 42.5 n.a. n.a. 19.9 n.s. n.s. n.s. 29.3 21.3Italy 151 22.6 25.9 20.9 33.0 89.7 18.4 29.0 27.8 24.5Cyprus 87 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Latvia 10 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Lithuania 15 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Luxembourg 187 36.9 n.a. 40.3 55.9 n.s. n.s. 54.1 54.4 53.0Hungary 22 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Malta 86 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Netherlands 246 64.3 52.0 50.7 55.5 58.8 47.1 48.1 43.0 54.0Austria 95 38.3 n.s. 24.2 22.6 32.8 24.7 23.6 30.5 25.9Poland 14 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Portugal 43 11.0 6.7 7.4 10.1 18.2 4.5 5.5 7.4 7.6Slovenia 28 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Slovakia 24 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Finland 78 37.8 21.0 n.s. 27.1 47.0 40.5 n.s. 33.6 29.9Sweden 127 44.1 n.a. n.a. 36.5 48.3 n.s. n.s. 37.4 39.3United Kingdom 216 51.7 29.6 33.3 36.6 54.1 35.6 34.6 40.1 41.1Bulgaria 12 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.Romania 14 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.EU25 16 862 Euros/AWU n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.EU15 148 31.4 27.9 19.5 29.4 51.6 17.9 28.9 31.5 26.9NMS10 18 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.EU27 79 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.

Objective 6 - Labour Productivity in Agriculture

GVA( at basic price - in euros)/AWU (EU-25=100)

EurostatEconomic Accounts for Agriculture

Thousand Euro/AWU

Objective 6 - Labour Productivity in Agriculture by Sector

average 2002-2004

index of euros

GVA(at factor cost - in euros)/AWU

DG AGRIFADN

average 2001-2003

77

Graph 3.3.8

Objective 6 - Labour Productivity in Agriculture by Country as compared to EU25 (EU25 = 16 862 Euros/AWU = 100 - average 2002-2004)

0

50

100

150

200

250

300

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

78

Table 3.3.8.iii

Country (1) PR (2) IR (3) PU MS value - average 2002-2004

Belgium n.a. n.a. n.a. n.a. 36.46Czech Republic 5.8 n.a. 5.8 excl. CZ01 (PU) - 2002/2003 6.87Denmark 50.3 50.3 44.88Germany n.a. n.a. n.a. n.a. 27.78Estonia 3.5 3.5 4.10Greece 12.3 18.0 16.3 13.9 2000/2000 13.80Spain 18.7 21.0 22.3 20.9 excl. ES 11, 12, 13 26.10France 29.3 32.7 55.3 33.6 excl. FR 81, 82, 83 31.41Ireland 13.3 21.2 17.4 2000/2000 16.14Italy 13.4 20.3 24.1 20.8 excl. ITD1 & 2 - 2000/2000 25.50Cyprus 13.1 13.1 14.62Latvia 1.6 1.6 1.73Lithuania 1.9 1.9 2.45Luxembourg 31.1 31.1 31.52Hungary 4.2 3.9 3.3 4.0 2002/2003 3.77Malta 15.1 15.1 14.48Netherlands 44.8 42.2 42.7 41.55Austria 15.5 13.4 30.6 15.0 2002/2003 15.99Poland n.a. n.a. n.a. n.a. 2.36Portugal n.a. n.a. n.a. n.a. 2000/2000 7.30Slovenia 4.2 4.2 4.79Slovakia 3.2 8.2 3.4 4.11Finland 16.3 15.9 16.1 2002/2003 13.23Sweden 18.4 37.4 22.3 2002/2003 21.33United Kingdom 24.2 31.9 31.4 31.5 2002/2003 (partly) 36.47Bulgaria n.a. n.a. n.a. n.a. 1.99Romania n.a. n.a. n.a. n.a. 2.33EU25 11.1 21.2 27.8 19.3 excl. BE, DE, PL, PT 16.86EU15 15.4 25.5 29.0 23.8 excl. BE, DE, PT 24.93NMS10 3.4 4.2 4.9 3.8 excl. PL 3.01EU27 n.a. n.a. n.a. n.a. 13.30

- The total for France and therefore the European aggregates include the overseas departments - The difference between National Accounts and Regional Accounts for a same year may be explained by a difference in the pace of update.

Objective 6 - Labour Productivity in Agriculture

MS - summary of available data - 2003 value

Notes:

GVA / AWU (thousands Euros / AWU) - 2003/2003 - NUTS 2

79

Map 3.3.8

80

Table 3.3.9.i

Country (1) PR (2) IR (3) PU

Belgium n.a. n.a. n.a. 609.1Czech Republic 100.0 0.0 2002 309.2Denmark n.a. n.a. n.a. 1 166.6Germany n.a. n.a. n.a. 2003 5 300.8Estonia n.a. n.a. n.a. n.a.Greece 52.0 36.2 11.8 2000 1 292.1Spain n.a. n.a. n.a. 3 581.3France 6.3 88.8 4.9 p 2002 9 181.6Ireland n.a. n.a. n.a. n.a.Italy n.a. n.a. n.a. 10 037.1Cyprus n.a. n.a. n.a. 70.2 eLatvia n.a. n.a. n.a. 96.8Lithuania n.a. n.a. n.a. 202.2Luxembourg n.a. n.a. n.a. 65.1Hungary n.a. n.a. n.a. 894.8Malta n.a. n.a. n.a. n.a.Netherlands 18.4 81.6 p 2000 3 057.6Austria 67.3 32.4 0.3 2002 1 387.6Poland n.a. n.a. n.a. 569.9Portugal n.a. n.a. n.a. 2000 817.9Slovenia n.a. n.a. n.a. 187.8Slovakia 93.9 6.1 2003 57.0Finland 100.0 2002 959.3Sweden n.a. n.a. n.a. 819.6United Kingdom 2.2 69.0 28.8 2002 3 348.8Bulgaria n.a. n.a. n.a. n.a.Romania n.a. n.a. n.a. 498.7EU25 n.a. n.a. n.a. 44 012.4 excl.EE, IE, MTEU15 n.a. n.a. n.a. 41 624.5 excl. IENMS10 n.a. n.a. n.a. 2 387.8 excl. EE, MTEU27 n.a. n.a. n.a. 44 511.0 excl.EE, IE, MT, BG

Table 3.3.9.ii

Country (1) PR (2) IR (3) PU

Belgium n.a. n.a. n.a. 22.8Czech Republic 35.6 n.a. 2002 35.7Denmark n.a. n.a. n.a. 38.8Germany n.a. n.a. n.a. 2003 34.5Estonia n.a. n.a. n.a. n.a.Greece 11.3 13.6 63.9 2000 15.8Spain n.a. n.a. n.a. 12.9France 27.2 29.8 19.3 p 2002 28.7Ireland n.a. n.a. n.a. n.a.Italy n.a. n.a. n.a. 34.5Cyprus n.a. n.a. n.a. 19.8 eLatvia n.a. n.a. n.a. 43.8Lithuania n.a. n.a. n.a. 48.5Luxembourg n.a. n.a. n.a. 84.3Hungary n.a. n.a. n.a. 45.8Malta n.a. n.a. n.a. n.a.Netherlands 32.5 37.8 p 2000 34.3Austria 48.7 65.2 6.7 2002 50.8Poland n.a. n.a. n.a. 13.5Portugal n.a. n.a. n.a. 2000 24.5Slovenia n.a. n.a. n.a. 48.0Slovakia 14.8 8.7 2003 14.2Finland 62.5 2002 69.6Sweden n.a. n.a. n.a. 51.0United Kingdom 34.3 28.8 28.1 2002 29.6Bulgaria n.a. n.a. n.a. n.a.Romania n.a. n.a. n.a. 8.8EU25 n.a. n.a. n.a. 27.7EU15 n.a. n.a. n.a. 27.7NMS10 n.a. n.a. n.a. 27.1 excl.EE, MTEU27 n.a. n.a. n.a. 27.0 excl. BG

Objective 7 - Gross Fixed Capital Formation in Agriculture

MS GFCF in agriculture - Mio Euro - National Agricultural

Accounts - 2003

Gross Fixed Capital Formation in agriculture in Mio Euro - NUTS 2

MS GFCF/GVA in agriculture - National Agricultural

Accounts - 2003

(Objective 7) - Gross Fixed Capital Formation in AgricultureGross Fixed Capital Formation as a share of GVA in agriculture - NUTS 2

Note: The total for France and therefore the European aggregates include the overseas departments

Note: The total for France and therefore the European aggregates include the overseas departments

81

Map 3.3.9

82

Table 3.3.10 Table 3.3.11.i Table 3.3.12.i Table 3.3.13.i

Indicator

Measurement

Source

Year

UnitCountryBelgium 60.7 1 166.7 96.0 5 827Czech Republic 17.6 604.8 145.0 2 557Denmark 57.1 794.7 77.0 4 394Germany 38.8 5 180.0 978.0 37 950Estonia n.a. n.a. n.a. n.a.Greece 28.5 855.4 124.0 3 528Spain 37.7 3 466.7 421.0 15 856France 63.2 2002 5 380.0 2001 591.0 37 366 2002Ireland 100.6 535.5 58.0 5 834Italy 52.6 5 669.5 504.0 26 518Cyprus n.a. n.a. n.a. n.a.Latvia n.a. n.a. n.a. 239Lithuania n.a. 142.0 2002 n.a. 592Luxembourg 60.5 n.a. 4.0 242Hungary 13.6 447.5 151.0 2 058Malta n.a. n.a. n.a. 118Netherlands 73.9 1 617.0 150.0 11 086Austria 44.2 613.8 83.0 3 666Poland n.a. n.a. 472.0 2002 n.a. 2002Portugal 15.6 2002 872.1 2002 165.0 2002 2 579Slovenia 26.0 n.a. 22.0 572Slovakia 10.2 192.1 59.0 604Finland 50.2 391.0 42.0 2 109Sweden 64.0 2002 911.0 2002 63.0 2002 4 029 2002United Kingdom 59.9 3 533.3 524.0 31 395Bulgaria n.a. n.a. n.a. n.a.Romania n.a. n.a. n.a. 3 386 2001EU25 46.7 EU19 (exc. EE, CY, LV, LT, MT, PL) n.a. 4 639.0 194 840EU15 49.8 n.a. 3 808.0 183 491NMS10 n.a. n.a. n.a. n.a.EU27 n.a. n.a. n.a. n.a.

Table 3.3.11.ii Table 3.3.12.ii Table 3.3.13.ii

Indicator

Measurement

Source

Year

UnitCountryBelgium 20.0 2.3 2.4Czech Republic 23.6 3.0 3.4Denmark 18.1 2.8 2.7Germany 13.6 2.5 1.9Estonia n.a. n.a. n.a.Greece 24.2 3.2 2.5Spain 21.9 2.4 2.3France 15.7 2001 2.4 2.7 2002Ireland 9.2 3.2 4.7Italy 21.4 2.1 2.2Cyprus n.a. n.a. n.a.Latvia n.a. n.a. 2.7Lithuania 25.9 2002 n.a. 4.0Luxembourg n.a. 1.4 0.9Hungary 21.7 3.9 3.3Malta n.a. n.a. 3.1Netherlands 14.6 1.8 2.6Austria 16.7 2.1 1.8Poland n.a. 3.2 2002 n.a.Portugal 33.3 2002 3.3 2002 2.2Slovenia n.a. 2.4 2.7Slovakia 31.8 2.9 2.3Finland 18.5 1.8 1.7Sweden 22.6 2002 1.4 2002 1.8 2002United Kingdom 11.3 1.9 2.1Bulgaria n.a. n.a. n.a.Romania n.a. n.a. 8.3 2001EU25 n.a. 2.3 2.2EU15 n.a. 2.2 2.2NMS10 n.a. n.a. n.a.EU27 n.a. n.a. n.a.

%

2003

%

Million euros

%

2003

2003

2003

Thousands people employed

National Accounts

2003

Eurostat

National Accounts

Gross fixed capital formation in food industry as % of GVA

Million euros

National Accounts

National Accounts

National Accounts

2003

Eurostat

Eurostat

Eurostat

National Accounts

Share of Employment in food industry

Gross Value Added in food industry

Share of Gross Value Added in food industry

Objective 13 - Economic Development of Food

Industry

(Objective 13) - Economic Development of Food

Industry

GVA/employed Gross fixed capital formation in food industry

EurostatNational Accounts

2003

Thousands euro / employed

Objective 10 - Labour Productivity in Food Industry

Employment development in food industry

Objective 11 - Gross Fixed Capital Formation in Food

Industry

(Objective 11) - Gross Fixed Capital Formation in Food

Industry

Objective 12 - Employment Development in Food

Industry

(Objective 12) - Employment Development in Food

Industry

Eurostat

83

Graph 3.3.10

Notes : - 2002 for FR, PT, SE - no data available for EE, CY, LV, LT, PL, BG & RO - EU25 aggregate based on the 19 available countries

Graph 3.3.11

Notes: - 2001 for FR; 2002 for LT, PT, SE - no data available for EE, CY, LV, LU, MT, PL, SI, BG, RO - no data available for the European aggregates

Objective 10 - Labour Productivity in Food Industry (GVA / Person Employed - 2003)

0

20

40

60

80

100

120

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT NL

AT PL

PT SI SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

Objective 11 - Gross Fixed Capital Formation in Food industry (2003)

0

5000

10000

15000

20000

25000

30000

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

Mio. Euros

0

5

10

15

20

25

30

35% of GVA

GFCF in food industry (Mio. Euros) GFCF in food industry as % of GVA

Objective 11 - Gross Fixed Capital Formation in Food industry (2003)

0

0.2

0.4

0.6

0.8

1

1.2

Mio. Euros

0

0.2

0.4

0.6

0.8

1

1.2

% of GVA

GFCF in food industry (Mio. Euros) GFCF in food industry as % of GVA

Objective 11 - Gross Fixed Capital Formation in Food industry (2003)

0

1 000

2 000

3 000

4 000

5 000

6 000

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

Mio. Euros

0.0

5.0

10.0

15.0

20.0

25.0

30.0

35.0% of GVA

GFCF in food industry (Mio. Euros) GFCF in food industry as % of GVA

84

Graph 3.3.12

Notes: - 2002 for PL, PT, SE - no data available for EE, CY, LV, LT, MT, BG, RO

Objective 12 - Employment Development in Food Industry (2003)

0

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

1000 persons employed

0

0.5

1

1.5

2

2.5

3

3.5

4

4.5

% total employment

Employment in food industry (1000 persons employed) % Employment in food industry

85

Graph 3.3.13

Notes: - 2001 for RO; 2002 for FR, SE - no data available for EE, CY, PL, BG

Objective 13 - Economic Development of Food Industry (2003)

0

50000

100000

150000

200000

250000BE C

Z

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

Mio. Euros

0

1

2

3

4

5

6

7

8

9% total GVA

Gross Value Added in food industry (Mio. Euros) Share of Gross Value Added in food industry

86

Table 3.3.14.1 Table 3.3.14.2 Table 3.3.14.3

Indicator

Subindicator

Measurement

Source

Year

Unit

Subdivisions

CountryBelgium 639 95.1 32.4 57.0 2.5Czech Republic 2 559 97.3 12.3 16.3 3.0Denmark 440 81.8 5.0 68.4 14.9Germany 10 142 94.4 19.9 46.7 14.2Estonia 1 932 89.4 0.3 9.1 10.8Greece 3 094 47.5 12.0 22.3 n.a.Spain 10 479 40.3 18.1 81.6 30.8France 14 470 85.2 16.0 73.8 3.7Ireland 580 98.1 0.0 34.5 12.5Italy 6 013 55.5 27.8 66.0 8.8Cyprus 43 15.4 0.0 0.0 n.a.Latvia 2 413 80.6 4.0 44.8 11.2Lithuania 1 686 82.2 0.3 17.5 3.7Luxembourg 86 96.6 36.0 53.5 3.4Hungary 1 702 94.0 0.5 36.6 14.1Malta 0 0.0 - - -Netherlands 314 92.6 14.3 49.0 5.7Austria 3 352 85.4 2.7 83.6 n.a.Poland 8 300 92.8 0.9 18.0 1.8Portugal 1 897 54.7 9.2 89.5 7.5Slovenia 1 035 88.8 2.4 70.0 2.8Slovakia 1 706 84.0 14.3 43.2 24.0Finland 20 675 90.8 0.0 75.0 36.7Sweden 21 236 70.2 7.1 91.0 93.6United Kingdom 2 108 84.7 3.8 54.2 16.4Bulgaria 3 124 80.0 0.0 0.0 -Romania 5 617 84.1 0.0 5.9 n.a.EU25 116 901 G2 72.9 9.6 64.8 11.7 EU22 (excl.AT, CY, EL)EU15 95 525 G2 70.1 10.9 73.5 13.6 EU13 (excl. AT, EL)NMS10 21 376 G2 88.8 3.6 25.9 3.9 NMS9 (excl. CY)EU27 125 642 G2 73.5 8.9 60.5 n.a.Notes: - The data for France and therefore the European aggregates do not include the overseas departments, when the source is TBFRA 2000 - The sign "-" means "not relevant"

Table 3.3.15 Table 3.3.17 Table 3.3.16

Indicator

Subindicator

Measurement

Source

Year

Unit

SubdivisionsCountryBelgium 8.0 32.8 2000 27.3 2000 n.a.Czech Republic 8.0 285.8 2002 60.6 2002 11.4Denmark 7.3 n.a. n.a. n.a. uGermany 8.8 n.a. n.a. n.a.Estonia 3.7 n.a. n.a. n.a.Greece 1.1 n.a. n.a. 11.4Spain 2.7 n.a. n.a. 22.0France 6.4 593.4 20.4 80.1Ireland 5.9 n.a. n.a. n.a. uItaly 3.1 133.6 39.1 7.0Cyprus 1.0 n.a. n.a. n.a. uLatvia 4.6 n.a. n.a. n.a.Lithuania 5.0 13.9 13.9 n.a.Luxembourg 7.8 n.a. n.a. n.a.Hungary 5.8 n.a. n.a. n.a.Malta - n.a. n.a. n.a.Netherlands 7.0 11.0 2002 25.6 2002 25.2 uAustria 8.2 145.8 18.1 99.5Poland 4.8 n.a. n.a. n.a.Portugal 6.8 90.4 17.0 45.5Slovenia 5.9 n.a. n.a. n.a. uSlovakia 7.2 n.a. n.a. n.a.Finland 3.5 344.0 14.1 119.3Sweden 4.0 114.4 2000 6.0 2000 n.a.United Kingdom 6.9 133.3 69.0 11.5Bulgaria 3.3 n.a. n.a. n.a.Romania n.a. n.a. n.a. n.a.EU25 4.9 G2 1 898.3 EU-11 19.2 EU-11 38.3 EU-10EU15 4.8 G2 1 598.7 EU-9 17.2 EU-9 43.9 EU-9NMS10 5.4 G2 n.a. n.a. n.a.EU27 n.a. G2 n.a. n.a. n.a.

Ownership

Context 5 - Forestry Structure

(TBFRA 2000) (TBFRA 2000)

(Context 5) - Forestry Structure

% of FOWL Available for Wood Supply

Eurostat

Context 5 - Forestry Structure

Area of Forest Available for Wood Supply (FAWS)

Area of Forest Available for Wood Supply (FAWS)

Average size of private holding of FOWL

Average size of private holding of FOWL

Context 5 - Forestry Structure

2000' 2003'

Eurostat MCPFE 2003

2000'

ha%

% of FAWS in different categories of ownership

Eurostat

(TBFRA 2000)

2000'

1000 ha %

2000 2004 2004

owned by public institutions other than State in private ownership

Context 6 - Forest Productivity

Average net annual volume increment on FAWS

(TBFRA 2000) Economic Accounts for Forestry

1000 m3 overbark / year / ha of FAWS

Million euros

Eurostat

Objective 15 - Gross Fixed Capital Formation in Forestry

(Objective 15) - Gross Fixed Capital Formation in Forestry

Gross fixed capital formation in forestry

Gross fixed capital formation as % of GVA in forestry

Eurostat Eurostat

Economic Accounts for Forestry

Objective 14 - Labour Productivity in Forestry

GVA/employed

Eurostat

Economic Accounts for Forestry / LFS

2002

Thousands euro / employed

Note: The French overseas departments are included in the total for France in the Economic Accounts for Forestry

%

87

Graph 3.3.14.1

Graph 3.3.14.2

Notes: - no FAWS in Malta - BG: 100% FAWS State owned (TBFRA 2000)

Graph 3.3.14.3

Notes: - no data available for EE, CY, AT, RO - BG: no private forest ( MCPFE 2003) - the European aggregates are based on available data

Context 5 - Forestry Structure - Area of Forest Available for Wood Supply (TBFRA 2000)

0

20000

40000

60000

80000

100000

120000

140000

BE

CZ

DK

DE

EE EL ES

FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE

UK

BG RO

EU25

EU15

NM

S10

EU27

1000 ha

0

10

20

30

40

50

60

70

80

90

100

% FOWL

Area of FAWS (1000 ha) % of FOWL available for Wood Supply

Context 5 - Forestry Structure - Ownership of Forest Available for Wood Supply (TBFRA 2000)

0

10

20

30

40

50

60

70

80

90

100

BE

CZ

DK

DE

EE EL ES

FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI

SK FI SE

UK

BG

RO

EU25

EU15

NM

S10

EU27

% of FAWS owned by public institutions other than State % of FAWS under private ownership

Context 5 - Forestry Structure - Average Size of Private Holding of FOWL (ha - MCPFE 2003)

0

10

20

30

40

50

60

70

80

90

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

88

Graph 3.3.15

Notes: - no FAWS in MT - no data available for RO & therefore for EU27 aggregate

Context 6 - Forest Productivity (average net annual volume increment on FAWS - 1000 m3 overbark / year / ha - TBFRA 2000)

0

1

2

3

4

5

6

7

8

9

10

BE CZ

DK

DE

EE EL ES FR IE IT CY LV LT LU HU

MT

NL

AT PL PT SI

SK FI SE UK

BG RO

EU

25

EU

15

NM

S10

EU

27

89

Graph 3.3.16

Notes: - no data available for BE, DK, DE, EE, IE, CY, LV, LT, LU, HU, MT, PL, SI, SK, SE, BG, RO - the European aggregates correspond to the available data

Graph 3.3.17

Notes: - no data available for DK, DE, EE, EL, ES, IE, CY, LV, LU, HU, MT, PL, SI, SK, BG, RO - 2000 for BE,SE ; 2002 for CZ, NL - the European aggregates correspond to the available data

Objective 14- Labour Productivity in Forestry (1000 Euro / Employed - 2002)

0

20

40

60

80

100

120

140

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

Objective 15 - Gross Fixed Capital Formation in Forestry (2002)

0

200

400

600

800

1000

1200

1400

1600

1800

2000

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

Mio. Euros

0

10

20

30

40

50

60

70

80

% GVA in forestry

GFCF in forestry GFCF as % of GVA in forestry

90

91

SECTION 3.4 ENVIRONMENT

92

Table 3.4.1IndicatorMeasurementSource

Year

Unit

Subdivisions % agricultural area

% forest area

% natural area

% artificial area

CountryBelgium 57.6 19.9 1.5 20.4Czech Republic 57.8 32.4 3.0 6.1Denmark 77.6 9.0 5.1 7.2Germany 59.9 29.1 1.8 8.1Estonia 34.0 48.2 15.2 2.1Greece 40.2 17.9 38.5 2.2Spain 50.3 18.4 29.0 1.6France 60.0 26.4 7.9 4.8Ireland 67.3 4.2 24.2 1.9Italy 52.1 26.3 16.0 4.7Cyprus 47.9 16.9 27.3 7.4Latvia 43.9 41.9 11.1 1.3Lithuania 61.7 28.7 4.4 3.3Luxembourg 54.9 35.0 1.0 8.7Hungary 68.2 18.8 5.9 5.7Malta 49.0 0.9 21.3 28.7Netherlands 71.4 8.9 3.5 12.8Austria 32.7 44.8 17.6 4.2Poland 64.4 29.5 1.4 3.3Portugal 47.9 27.4 20.7 2.7Slovenia 35.0 56.1 5.9 2.7Slovakia 49.7 39.4 4.6 5.6Finland 8.9 59.2 23.1 1.4Sweden 9.0 57.4 25.8 1.4United Kingdom 58.7 8.1 24.7 7.4Bulgaria 51.7 31.5 11.1 4.9Romania 56.6 29.3 6.2 6.3EU25 46.7 31.0 16.0 4.0EU15 44.0 30.8 18.6 4.1NMS10 58.3 31.8 4.7 3.9EU27 47.4 30.9 15.4 4.2Notes:

Context 7 - Land Cover

- The data for France and therefore the European aggregates do not include theoverseas departments

- The data for Portugal and therefore the European aggregates do not include datafor Açores & Madeira

% area in the different categories of land coverCLC2000

2000

%

93

Map 3.4.1

94

Table 3.4.2 Table 3.4.3.1 Table 3.4.3.2Indicator

Subindicator

Measurement

Source

Year

Unit

Subdivisions % UAA non LFA

% UAA in LFA mountain

% UAA in LFA other

% UAA in LFA specific

CountryBelgium 79.6 0.0 19.9 0.5 0.0 0.0Czech Republic 49.6 14.6 29.0 6.8 2003 0.0 31.9Denmark 98.9 0.0 1.1 0.0 0.0 0.0Germany 50.4 1.9 46.5 1.2 0.0 0.3Estonia 60.3 0.0 34.5 5.3 2003 44.3 54.4Greece 17.4 56.4 21.8 4.5 2.0 2.8Spain 18.7 31.8 46.4 3.1 19.9 31.4France 55.9 14.4 27.7 1.9 0.0 17.3Ireland 47.2 0.0 52.4 0.4 0.0 0.0Italy 49.1 31.0 18.4 1.6 13.4 28.6Cyprus 9.5 9.0 63.6 17.9 2003 58.4 0.0Latvia 27.3 0.0 72.7 0.0 2003 44.3 54.2Lithuania 56.3 0.0 42.9 0.8 2003 51.5 47.6Luxembourg 0.0 0.0 100.0 0.0 0.0 0.0Hungary 80.8 0.0 8.7 10.5 0.0 19.0Malta 0.0 0.0 0.0 100.0 2003 37.9 0.0Netherlands 88.9 0.0 0.0 11.1 0.0 0.0Austria 24.7 59.0 7.7 8.6 0.0 52.6Poland 45.2 1.2 48.1 1.9 2002 34.8 10.0Portugal 13.4 26.7 56.1 3.9 26.1 37.6Slovenia 26.1 55.2 4.2 14.5 2003 0.0 68.6Slovakia 49.8 19.9 16.0 14.3 2003 18.7 48.3Finland 0.0 52.2 21.4 26.5 0.0 7.1Sweden 47.9 11.2 30.0 10.8 4.9 47.2United Kingdom 52.9 0.0 47.1 0.0 0.0 28.0Bulgaria n.a. n.a. n.a. n.a. 25.8 5.7Romania n.a. n.a. n.a. n.a. 25.3 37.3EU25 44.6 16.3 35.6 3.2 10.1 21.2EU15 51.6 4.8 36.4 5.3 6.3 20.6NMS10 42.9 19.0 35.4 2.7 26.0 24.1EU27 n.a. n.a. n.a. n.a. 11.6 22.3Note: The LFA data for France and therefore the European aggregates do not include the overseas departments

% %

2003 2003

(MT: communication to Council for SCA 7971/05)

% UAA in the different categories of LFA

MS (communication to Council for SCA 7971/05)

(or Eurostat FSS)

2000

%

Context 8- Less Favoured Areas Context 9 - Areas of Extensive Agriculture% UAA for extensive arable

crop % UAA for extensive grazing

% UAA where cereals yield < 60% of EU27-average

(2.68 t/ha)

% UAA where livestock density < 1 LU/ha of forage area

Eurostat (FSS / crops production) Eurostat (FSS / land use)

95

Map 3.4.2

96

Map 3.4.3.1

97

Map 3.4.3.2

98

Table 3.4.4.1 Table 3.4.4.2 Table 3.4.4.3Indicator

Subindicator

MeasurementSource

Year

UnitCountryBelgium 12.6 3.1 21.9Czech Republic 18.0 n.a. n.a.Denmark 8.1 7.4 14.7Germany 10.8 4.1 11.5Estonia 22.9 n.a. n.a.Greece 18.9 25.8 n.a.Spain 24.7 23.7 24.5France 6.3 5.0 7.9Ireland 10.0 6.0 4.1Italy 15.4 11.8 14.6Cyprus 5.0 n.a. n.a.Latvia 11.0 n.a. n.a.Lithuania 7.1 n.a. n.a.Luxembourg 17.0 7.0 32.2Hungary 24.5 n.a. n.a.Malta 12.5 n.a. n.a.Netherlands 10.3 5.8 25.0Austria 14.2 7.6 10.7Poland 10.3 n.a. n.a.Portugal 20.1 22.0 16.0Slovenia 54.3 n.a. n.a.Slovakia 36.9 n.a. n.a.Finland 13.9 34.3 5.9Sweden 11.9 49.0 7.8United Kingdom 6.2 4.0 3.3Bulgaria n.a. n.a. n.a.Romania n.a. n.a. n.a.EU25 13.2 n.a. n.a.EU15 13.2 12.1 11.8NMS10 16.4 n.a. n.a.EU27 n.a. n.a. n.a.Note: The data for France and therefore the European aggregates do not include the overseas departments

February 2005 for NMS% % %

May 2005 for EU15 December 2004 December 2004

% territory under Natura 2000 % UAA under Natura 2000 % forest area under Natura DG ENV. EEA (ETC_NPB) EEA (ETC_NPB)

Context 10 - Natura 2000 Area% Territory under Natura

2000 (SCI & SPA)% UAA under Natura 2000

(SCI)% Forest area under Natura

2000 (SCI)

99

Map 3.4.4.1

100

Map 3.4.4.2

101

Graph 3.4.4.3

Note: no data for NMS & Accession Countries

Context 10 - Natura 2000 Area % Forest Area under Natura 2000 (SCI) - (December 2004)

0

5

10

15

20

25

30

35

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

102

Table 3.4.5

Indicator

Measurement

Source

Year

UnitCountryBelgium n.a.Czech Republic 78.9Denmark 92.5Germany 85.9Estonia n.a.Greece n.a.Spain 99.5France 104.9Ireland 95.9Italy 67.3Cyprus n.a.Latvia 96.7Lithuania n.a.Luxembourg n.a.Hungary 108.8Malta n.a.Netherlands 79.3Austria 90.6Poland 86.8Portugal n.a.Slovenia n.a.Slovakia n.a.Finland 109.9Sweden 94.7United Kingdom 97.0Bulgaria n.a.Romania n.a.EU25 96.2 15 MSEU15 n.a.NMS10 n.a.EU27 n.a.Note: The data for France exclude overseas departments

2003

Index (2000 = 100)

Objective 17 - Biodiversity: Population of Farmland Birds

Trends of index of population of (19) farmland birds (2000 = 100)

EurostatPECBM (Pan-European Common Bird

Monitoring)

103

Graph 3.4.5 (1)

Graph 3.4.5 (2)

Note: no data available for BE, EE, EL, CY, LT, LU, MT, PT, SI, SK, BG, RO

(Objective 17) - Biodiversity: Population of Farmland birds (1)(Trend of populations of 19 species of farmland birds - 2003 = 100)

60

80

100

120

140

160

180

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003

eu25 cz dk fr nl fi se uk de

Objective 17 - Biodiversity: Population of Farmland Birds (2)(Trend of populations of 19 species of farmland birds - 2003 = 100)

60

80

100

120

140

160

1995 1996 1997 1998 1999 2000 2001 2002 2003

lv es at ie hu it pl eu25

104

Table 3.4.6

Indicator

Measurement

Source

Year

UnitCountryBelgium 0.01 indicative 1-10%Czech Republic 0.55 indicative 10-20%Denmark 0.08 indicative 1-10%Germany 0.52 indicative 1-10%Estonia 0.07 indicative 1-10%Greece 1.91 indicative > 30%Spain 8.91 indicative > 30%France 4.19 indicative 10-20%Ireland 1.06 indicative 20-30%Italy 2.75 indicative 20-30%Cyprus n.a. indicative n.a.Latvia 0.12 indicative 1-10%Lithuania 0.02 indicative 0%Luxembourg 0.00 indicative 1-10%Hungary 0.96 indicative 10-20%Malta n.a. indicative n.a.Netherlands 0.04 indicative 1-10%Austria 0.65 indicative 10-20%Poland 1.96 indicative 10-20%Portugal 1.44 indicative > 30%Slovenia 0.27 indicative > 30%Slovakia 0.29 indicative 10-20%Finland 0.11 indicative 1-10%Sweden 0.62 indicative 10-20%United Kingdom 4.27 indicative 20-30%Bulgaria 0.44 indicative 1-10%Romania 2.33 indicative 10-20%EU25 30.78 excluding CY, MT n.a.EU15 26.54 indicative 15-25%NMS10 4.24 excluding CY, MT n.a.EU27 33.56 excluding CY, MT n.a.Note: The data for France do not include the overseas departments

2004 2004

Million ha Classes

European Environment Agency European Environment Agency

Objective 18 - Biodiversity: High Nature Value Farmland

(Objective 18) - Biodiversity: High Nature Value Farmland

UAA of High Nature Value Farmland

UAA of High Nature Value Farmland

105

Illustration 3.4.6

0

1

2

3

4

5

GR PT ES UK IE IT SE AT FR FI DE DK NL LU BE

Cat

egor

ies

of H

NV

farm

land

sha

re o

f UA

A

> 30% 20-30% 10-20% 1-10%

Baseline Indicators Objective 18 - Biodiversity: High Nature Value Farmland

Areas

Sources: EEA – IRENA – IRENA 26 Andersen, 2003 – quoted in EEA report n°1/2004

-10-20-30

0

0

10

10

20

20 30

30

40 50

40

40

50

50

60

60

Potential HN V farm landaccording to m inim umCO RIN E Land Coverselection

Potential HNV farm land

Non HN V farm land

EU-15

Non EU-15

106

Table 3.4.7IndicatorMeasurementSource

Year

UnitSubdivisions predominantly coniferous predominantly broadleaved mixedCountryBelgium 40.7 52.7 6.6Czech Republic 31.2 13.2 55.7Denmark 55.1 29.4 15.4 e Forest onlyGermany 56.4 25.3 18.4Estonia 37.8 22.9 39.3Greece 21.9 78.1 0.0 eSpain 37.0 48.5 14.5France 24.8 66.6 8.6Ireland 77.6 18.2 4.2Italy 21.2 71.7 7.0Cyprus 44.3 0.3 55.4Latvia 37.6 21.5 40.8Lithuania 44.5 36.7 18.8Luxembourg 34.8 62.9 2.2Hungary 10.1 77.7 12.2Malta 0.0 0.0 100.0Netherlands 42.2 43.1 14.7Austria 68.7 12.0 19.3Poland 66.6 15.4 18.0Portugal 26.2 61.0 12.8Slovenia 30.5 37.6 31.9Slovakia 32.0 48.7 19.3 Forest onlyFinland 79.8 8.3 12.0Sweden 74.8 8.2 17.0United Kingdom 56.1 37.0 6.9Bulgaria 24.2 66.2 9.6Romania 28.6 71.4 0.0EU25 51.0 34.0 15.0 forest for DK, SKEU15 52.7 34.8 12.5 forest for DKNMS10 45.5 26.6 27.9 forest for SKEU27 50.1 35.8 14.1 forest for DK, SKNote: the data for France do not include the overseas departments

% FOWL

Objective 19 - Biodiversity: Tree Species Composition% of Forest and Other Wooded Land classified by species groups

MCPFE 2003

2003

107

Graph 3.4.7

Objective 19 - Biodiversity: Tree Species Composition (% Forest & Other Wooded Land - MCPFE 2003)

0%

20%

40%

60%

80%

100%B

E CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

predominantly coniferous predominantly broadleaved Mixed

108

Table 3.4.8IndicatorMeasurementSource

Year

UnitSubdivisionsCountryBelgium 0.00 0.52 0.75 27.99Czech Republic 0.57 0.00 2.54 22.19Denmark 0.00 0.88 22.28 0.00Germany 0.00 0.85 19.07 incl. all Natura 2000 area 43.63Estonia n.a. n.a. n.a. n.a.Greece 0.00 0.75 14.40 2.99Spain 0.02 0.43 0.39 5.39France 0.03 0.56 0.79 17.37Ireland 0.00 0.43 0.73 0.00Italy n.a. n.a. n.a. n.a.Cyprus 0.27 2.88 0.00 37.42Latvia 0.38 3.40 3.45 4.07Lithuania 1.13 0.00 0.25 11.15Luxembourg 0.00 0.00 30.72 n.a.Hungary 0.16 3.64 0.56 15.68Malta 0.00 10.95 0.58 0.00Netherlands 0.83 6.70 6.47 9.16Austria 0.00 0.22 2.74 22.91Poland 0.55 0.00 2.51 15.03Portugal 0.03 0.27 18.78 incl. all Natura 2000 area 28.22Slovenia 0.88 n.a. n.a. 2.54Slovakia 4.38 0.21 15.54 22.53Finland 0.00 6.23 1.75 0.85Sweden 7.49 1.43 0.20 1.38United Kingdom 0.25 0.11 4.87 23.31Bulgaria 1.49 3.06 0.02 2.96Romania n.a. n.a. n.a. n.a.EU25 1.69 EU23(-EE,IT) 1.66 EU22(-EE,IT,SI) 3.71 EU22(-EE,IT,SI) 10.64 EU23(-EE,IT)EU15 1.83 EU14(-IT) 1.79 EU14(-IT) 3.75 EU14(-IT) 9.96 EU14(-IT)NMS10 0.92 NMS9(-EE) 0.88 NMS8(-EE, SI) 3.46 NMS8(-EE, SI) 14.49 NMS9(-EE)EU27 1.69 EU24(-EE, IT, RO) 1.68 EU23(-EE, IT, SI, RO) 3.59 EU23(-EE, IT, SI, RO) 10.44 EU24(-EE, IT, RO)Note: The data for France exclude the overseas departments

2000/2002

%MCPFE class 1.1 MCPFE class 1.2 MCPFE class 1.3 MCPFE class 2

Context 11 - Biodiversity: Protected Forest% FOWL area protected under MCPFE classes

MCPFE 2003

109

Graph 3.4.8

Note: the EU aggregate represent the available data

Context 11 - Biodiversity: Protected Forest (% FOWL protected by MCPFE classes of protection- MCPFE 2003)

0

10

20

30

40

50

60

70

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT NL

AT PL

PT SI SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

MCPFE class 1.1 MCPFE class 1.2 MCPFE class 1.3 MCPFE class 2

110

Table 3.4.9

Indicator

MeasurementSource

Year

UnitCountryBelgium 0.0Czech Republic 2.2Denmark 2.8Germany 0.0 Forest onlyEstonia 5.8Greece 1.4Spain 152.4France 19.4Ireland 12.0Italy 117.4Cyprus 0.0 TBFRA 2000Latvia 10.2Lithuania 14.6Luxembourg 0.0 TBFRA 2000Hungary 13.8Malta 0.0 TBFRA 2000Netherlands 1.0Austria 5.0Poland 26.6 Forest onlyPortugal 40.0Slovenia 5.0Slovakia 1.6 Forest onlyFinland -0.6Sweden 13.0United Kingdom 10.4Bulgaria 34.4Romania 5.6EU25 454.0EU15 374.2NMS10 79.8EU27 494.0Note: The data for France do not include the overseas departments

2000-2005(see fiche for CY, LU, MT)

1000 ha. / year

Context 12 - Development of Forest Area

Average annual increase of forest and other FRA 2005

TBFRA 2000 for CY, LU, MT

111

Context 3.4.9

Notes: - Forest only for DE, PL, SK - Source: TBFRA 2000 for CY, LU, MT

Context 12 - Development of Forest Area (average annual increase of FOWL - 1000 ha/year between 2000 & 2005 - FRA 2005)

-10

90

190

290

390

490

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE UK

BG RO

EU

25

EU

15

NM

S10

EU

27

112

Table 3.4.10IndicatorMeasurementSource

Year

UnitSubdivisionsCountryBelgium 19.4 15.6 21.3Czech Republic 57.3 62.6 31.8Denmark 11.8 5.8 19.1Germany 31.4 26.3 41.5Estonia 5.3 5.3 5.3Greece 20.9 2002 16.1 2002 26.5 2002Spain 15.0 14.0 16.1France 31.7 18.6 38.7Ireland 17.4 17.4 n.a.Italy 35.9 21.7 42.0Cyprus 12.2 12.2 n.a.Latvia 12.5 11.9 14.3Lithuania 13.9 10.2 21.8Luxembourg 23.4 2000 7.0 2000 33.5 2000Hungary 21.5 24.2 21.0Malta n.a. n.a. n.a.Netherlands 13.1 13.1 13.6Austria 27.5 17.2 46.9Poland 34.6 33.4 38.7Portugal 16.6 10.8 19.0Slovenia 29.3 37.4 24.2Slovakia 26.7 36.2 19.9Finland 9.8 10.1 8.4Sweden 16.5 17.5 8.3United Kingdom 26.5 23.2 2.1Bulgaria 39.7 47.1 30.1Romania 11.7 7.6 13.0EU25 24.1 G2 - EU 22 (-EL, LU, MT) 22.8 G2 - EU 22 (-EL, LU, MT) 25.5 G2 - EU 20 (-EL, IE, CY, LU, MT)EU15 21.7 G2 - EU 13 (-EL, LU) 17.5 G2 - EU 13 (-EL, LU) 27.5 G2 - EU 12 (-EL, IE, LU)NMS10 26.8 G2 - NMS 9 (-MT) 29.6 G2 - NMS 9 (-MT) 23.6 G2 - NMS 8 (-CY, MT)EU27 19.9 G2 - EU 24 (-EL, LU, MT) 20.3 G2 - EU 24 (-EL, LU, MT) 19.2 G2 - EU22 (-EL, CY, U, MT)Note: The data for France do not include the overseas departments

20042002 for EL, 2000 for LU

% of sampled treestrees (all species) conifers broadleaved

Context 13 - Forest Ecosystem Health% of trees in defoliation classes 2-4

ICP 2005

113

Graph 3.4.10

Notes: - No data available for MT; IE & FR broadleaved - 2002 data for EL; 2000 data for LU - The European aggregates correspond to the available data for 2004

Context 13 - Forest Ecosystem Health (% of trees in defoliation classes 2-4 - 2004)

0

10

20

30

40

50

60

70

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

All species Conifers Broadleaved

114

Table 3.4.11 Table 3.4.12.1 Table 3.4.12.2 Table 3.4.13.1 Table 3.4.14

Indicator

Sub-indicator

Measurement

Source

Year

Unit

CountryBelgium n.a. 193 20 n.a. 0.1Czech Republic n.a. 70 2 56.5 0.5Denmark - * 127 11 68.3 7.6Germany - * 120 6 79.5 n.a.Estonia n.a. n.a. n.a. 100.0 n.a.Greece n.a. 13 5 n.a. 32.8Spain n.a. 27 9 n.a. 13.7France n.a. 50 2 112.4 7.0Ireland - * 81 7 n.a. 0.0Italy n.a. 46 8 n.a. 14.1Cyprus n.a. n.a. n.a. n.a. 22.7Latvia n.a. n.a. n.a. 74.1 0.0Lithuania - * n.a. n.a. 112.6 n.a.Luxembourg - * 199 57 91.2 0.0Hungary n.a. 43 n.a. 77.5 3.4Malta - * n.a. n.a. n.a. 20.7Netherlands - * 229 19 25.4 3.1 UAA including kitchen gardens

Austria - * 48 3 96.7 1.1Poland n.a. 46 3 104.7 0.3Portugal n.a. 47 16 n.a. 6.7Slovenia - * n.a. n.a. n.a. 0.4Slovakia n.a. 46 1 98.5 4.9Finland - * 55 11 87.7 0.0Sweden n.a. 55 2 84.3 1.7 UAA including kitchen gardens

United Kingdom n.a. 25 20 91.3 1.4Bulgaria n.a n.a. n.a. 56.4 2.8Romania n.a. n.a. n.a. n.a. 2.9EU25 n.a. n.a. n.a. n.a. 7.2 EU-22: DE; EE; LT excluded

EU15 n.a. 89 13 n.a. 8.6 EU-14: DE excluded

NMS10 n.a. n.a. n.a. 89.1 1.3 NMS 8: EE & LT excluded

EU27 n.a. n.a. n.a. n.a. 6.7 EU-24: DE, EE & LT exluded

Notes:

- The data for France and therefore the European aggregates include the overseas departments only for the indicator C15 - Water use.

Surplus of Nitrogen Surplus of Phosphorus

2002-2004

kg/ha

Environmental indicators for agriculture Vol.4

2003

kg/ha mg/l, 1992-1994=100% %

2002-2004 "2000-2002"2005

Environmental indicators for agriculture Vol.4

OECD European Environment DG ENV. Eurostat (Farm Structure Survey)OECD

- *: signals the Countries implementing of an Action Programme on their whole territory (Art. 3.5 of the Directives), and consequently not designing specific Nitrate Vulnerable Zones (which explainsthe "-": not relevant sign).

Objective 21 - Water Quality: Pollution by

Nitrates and PesticidesContext 14 - Water Quality Context 15 - Water UseObjective 20 - Water Quality: Gross Nutrient Balances

Surplus of Nitrogen Trends in the concentrations of nitrate in surface waters

% territory designated as Nitrate Vulnerable Zone % irrigated 'UAA' Surplus of Phosphorus

115

Graph 3.4.12

Note: no data available for EE, CY, LV, LT, MT, SI, BG, RO & the corresponding aggregates.

Objective 20 - Water Quality: Gross Nutrient Balances (Surplus of nutrient in kg/ha - OECD - 2006)

0

50

100

150

200

250

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

Surplus of Nitrogen Surplus of Phosphorus

116

Graph 3.4.13 (1)

Graph 3.4.13 (2)

Note: no data available for BE, EL, ES, IE, IT, CY, MT, PT, SI, RO, EU-25, EU-15 & NMS10 aggregates

Objective 21 - Water Quality: Pollution by Nitrates and Pesticides Trends of concentration of Nitrates in rivers (3-year moving average, 1992-1994 = 100) (1)

20

40

60

80

100

120

1993 1994 1995 1996 1997 1998 1999 2000 2001

3-ye

ar m

ovin

g av

erag

e

CZ DK DE EE FR LV LT LU HU EU-27

Objective 21 - Water Quality: Pollution by Nitrates and Pesticides Trends of concentration of Nitrates in rivers (3-year moving average, 1992-1994 = 100) (2)

20

40

60

80

100

120

1993 1994 1995 1996 1997 1998 1999 2000 2001

3-ye

ar m

ovin

g av

erag

e

NL AT PL SK FI SE UK BG EU-27

117

Map 3.4.14

118

Table 3.4.15 Table 3.4.16 Table 3.4.17

Indicator

Measurement

Source

Year

Unit

CountryBelgium n.a. 1.07 24.0 e 1.7 eCzech Republic 7.6 1.31 255.0 e 7.0 eDenmark 0.0 2.29 165.1 e 6.2 eGermany 22.6 Forest 0.89 734.0 e 4.3 eEstonia n.a. 0.11 42.6 e 5.4 eGreece 0.0 5.77 244.5 e 6.2 eSpain 0.0 2.41 725.3 e 2.9 eFrance 2.3 1.55 551.0 e 2.0 eIreland 0.0 0.16 28.5 e 0.7 eItaly n.a. 3.11 1 052.0 e 8.0 eCyprus 40.6 n.a. 0.2 e 0.1 eLatvia 2.2 Forest 0.11 24.5 e 1.6 eLithuania 14.2 0.33 23.3 e 0.9 eLuxembourg 0.0 0.54 3.0 e 2.3 eHungary 9.6 0.41 113.8 e 2.6 eMalta 0.0 n.a. 0.0 e 0.0 eNetherlands 0.0 0.08 40.6 e 2.0 eAustria 19.7 Forest 0.46 328.8 e 10.1 ePoland 18.8 0.67 49.9 e 0.3 ePortugal 6.6 4.59 120.7 e 3.2 eSlovenia 0.0 0.87 21.0 e 4.3 eSlovakia 12.9 Forest 1.29 54.5 e 2.5 eFinland 0.0 n.a. 160.0 e 7.1 eSweden 11.1 n.a. 405.8 e 13.0 eUnited Kingdom 0.0 0.31 695.6 e 4.3 eBulgaria 13.9 0.56 2.0 e 0.1 eRomania n.a. 0.44 43.0 e 0.3 eEU25 6.8 EU22 (excl. BE,EE,IT) 1.64 5 863.6 e 3.8 eEU15 5.7 EU13 (excl.BE,IT) 1.94 5 278.9 e 4.2 eNMS10 12.9 NMS9 (excl. EE) 0.64 584.7 e 2.0 eEU27 7.0 EU23 (excl.BE, EE, IT, RO) 1.52 5 908.7 e 3.4 eNote: the data for France and therefore the European aggregates include the overseas departments for organic farming only.

Context 16 - Protective Forests concerning primarily Soil & Water

% FOWL area managed primarily for soil & water protection

MCPFE 2003

2000/2002

% Ton/ha/year Thousands ha

2004 2003

JRC Institute of Rural Studies, University of Wales, Aberystwyth

Copyright: Nicolas Lampkin

Objective 22 - Soil: Areas at Risk of Soil Erosion

Objective 23 - Soil: Organic Farming

Areas at risk of soil erosion (estimate of soil loss due to water)

Utilised Agricultural Area under organic farming

(Objective 23) - Soil: Organic Farming

Share of Utilised Agricultural Area under organic farming

Institute of Rural Studies, University of Wales, Aberystwyth

Copyright: Nicolas Lampkin2003

%

119

Graph 3.4.15

Note: no data for BE, EE, IT, RO

Context 16 - Protective Forest concerning primarily Soil & Water (% FOWL area managed primarily for soil & water protection - MCPFE 2003)

0

5

10

15

20

25

30

35

40

45

BE

CZ

DK

DE EE EL

ES

FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE

UK

BG

RO

EU

25

EU

15

NM

S10

EU

27

%

120

Map 3.4.16

121

Map 3.4.17

122

Table 3.4.18.1.i Table 3.4.18.2.i Table 3.4.19.i Table 3.4.20.i

Indicator

Sub-indicator

Measurement

Source

Year

Unit

CountryBelgium 0.0 346 2.7 11 557.0Czech Republic 54.0 895 n.a. 7 409.4Denmark 63.1 1 111 26.5 9 898.0Germany 946.3 5 191 320.5 87 327.8Estonia 0.0 606 n.a. 732.3Greece 0.0 909 n.a. 11 998.3Spain 147.2 4 044 13.2 44 371.2France 384.7 9 358 317.9 97 960.4Ireland 0.0 145 0.4 18 747.4Italy 288.3 1 153 51.3 38 747.1Cyprus 0.0 1 n.a. 721.8Latvia 0.0 1 772 n.a. 1 622.5Lithuania 4.5 675 n.a. 2 113.1Luxembourg 0.0 15 0.1 338.7Hungary 0.0 777 n.a. 10 130.3Malta 0.0 n.a. n.a. 91.6Netherlands 0.0 500 0.6 17 844.0Austria 51.3 3 222 11.5 7 349.1Poland 25.2 3 921 n.a. 24 571.4Portugal 0.0 2 616 3.4 8 294.6Slovenia 0.0 454 0.3 1 966.8Slovakia 13.5 300 n.a. 4 016.6Finland 0.0 6 903 11.5 5 420.5Sweden 37.2 8 049 34.5 8 724.9United Kingdom 8.1 1 034 88.6 45 848.6Bulgaria 0.0 691 n.a. 4 578.6Romania 0.0 2 903 n.a. 11 946.5EU25 2 084.3 53 996 1 383.0 467 803.3EU15 n.a. 44 596 n.a. 414 427.5NMS10 n.a. 9 400 n.a. 53 375.8 G2EU27 2 084.3 57 590 1 383.0 484 328.4 G2

Table 3.4.18.1.ii Table 3.4.18.2.ii Table 3.4.19.ii Table 3.4.20.ii

Indicator

Sub-indicator

Measurement

Source

& Eurostat - Energy Statistics

Year

Unit

CountryBelgium 0.00 2.64 0.19 7.82Czech Republic 0.17 2.76 n.a. 5.09Denmark 0.20 3.93 1.00 13.37Germany 0.70 3.87 1.89 8.58Estonia 0.00 14.63 n.a. 3.42Greece 0.00 9.19 n.a. 8.72Spain 0.45 12.22 0.05 11.03France 0.28 6.95 1.14 17.58Ireland 0.00 7.93 0.01 27.75Italy 1.03 4.23 0.39 6.80Cyprus 0.00 2.38 n.a. 7.84Latvia 0.00 89.63 n.a. 15.41Lithuania 0.09 13.23 n.a. 12.26Luxembourg 0.00 25.00 0.08 3.00Hungary 0.00 7.49 n.a. 12.17Malta 0.00 n.a. n.a. 3.20Netherlands 0.00 0.86 0.03 8.31Austria 0.54 34.26 0.35 8.03Poland 0.03 4.98 n.a. 6.40Portugal 0.00 60.33 0.09 10.22Slovenia 0.00 13.99 0.06 9.93Slovakia 0.23 4.77 n.a. 7.77Finland 0.00 44.14 0.51 6.34Sweden 0.11 25.82 1.10 12.37United Kingdom 0.00 0.43 0.55 7.04Bulgaria 0.00 6.84 n.a. 6.62Romania 0.00 10.29 n.a. 8.36EU25 0.24 5.03 0.89 9.50EU15 n.a. 1.26 n.a. 9.92NMS10 n.a. 40.46 n.a. 7.16 G2EU27 0.08 0.00 0.80 9.43 G2

Production of renewable energy from agriculture

Production of renewable energy from forestry

Production of renewable energy from agriculture

Production of renewable energy from forestry

(Objective 24) - Climate change: Production of renewable energy from agriculture and forestry

% %

Energy Statistics

EurObserER Eurostat

EurObserER Eurostat

Production of renewable energy from agriculture

2004 2003

Objective 24 - Climate change: Production of renewable energy from agriculture and forestry

Share of agriculture in production of renewable energy

Share of forestry in production of renewable energy

NB: including 87.0 ktons i.e. 60.8 kToe from intervention stocks (Wood and wood wastes)

kToe kToe

NB: data for MS do not include UAA without specific regime devoted to energy

crops

1000 ha

%

1000 t of CO2 equivalent

%

20032004

NB: data for MS do not include UAA without specific regime devoted to energy

crops

2004 2003 2004 2003

DG AGRI

Eurostat

Eurostat

Share of UAA devoted to energy and biomass crops

Agricultural emissions of greenhouse gases

Share of agriculture in emissions of greenhouse gases

DG AGRI

Production of renewable energy from forestry

Objective 25 - Climate Change: UAA devoted to Renewable

Energy

(Objective 25) - Climate Change: UAA devoted to Renewable

Energy

Objective 26 - Climate Change: GHG Emissions from

Agriculture

(Objective 26) - Climate Change: GHG Emissions from

Agriculture

UAA devoted to energy and biomass crops

Energy Statistics

123

Graph 3.4.17.1

Notes: - No data available for the aggregates EU15 & NMS10 - The EU-25 & EU-27 aggregates include 87.0 kTons ie 60.8 kToe from intervention stocks

Graph 3.4.17.2

Objective 24 - Climate Change: Production of Renewable Energy from Agriculture (2004)

0

500

1000

1500

2000

2500

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

ktoe

0

0.2

0.4

0.6

0.8

1

1.2

% production of renewable energy

Production of renewable energy from agriculture Share of agriculture in production of renewable energy

Objective 24 - Production of Renewable Energy from Forestry (Wood and Wood Wastes - 2003)

0

10 000

20 000

30 000

40 000

50 000

60 000

70 000

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

kToe

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

90.00

100.00

% production of renewable energy

Production of renewable energy from forestry Share of forestry in production of renewable energy

124

Graph 3.4.19

Notes: - No data available for NMS and Accession Countries - Data for MS do not include UAA without specific regime devoted to energy crops

Objective 25 - Climate Change: UAA devoted to Renewable Energy (2004)

0

200

400

600

800

1000

1200

1400

1600

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

EU27

1000 ha

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

% UAA

UAA devoted to energy and biomass crops Share of UAA devoted to energy and biomass crops

125

Graph 3.4.20

Objective 26 - Climate Change: GHG Emissions from Agriculture (2003)

0

50 000

100 000

150 000

200 000

250 000

300 000

350 000

400 000

450 000

500 000BE C

Z

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT NL

AT PL PT SI SK FI SE UK

BG RO

EU25

EU15

NM

S10

1000t of CO2 equivalent

0.00

5.00

10.00

15.00

20.00

25.00

30.00

% of total GHG emissions

Agricultural emissions of GHG Share of agriculture in emissions of GHG

126

127

SECTION 3.5 DIVERSIFICATION AND QUALITY OF LIFE IN

RURAL AREAS

128

Table 3.5.1.a

Country (1)PR (2)IR (3)PU MS value

Belgium 30.1 24.3 16.1 18.2Czech Republic 45.1 44.4 30.4 44.4Denmark 41.5 42.0 46.0 41.9Germany 51.6 47.5 46.3 47.6Estonia 48.5 43.6 39.0 44.3Greece 20.8 23.2 29.3 21.8Spain n.a. n.a. n.a. 31.6France 21.8 26.1 17.8 23.9Ireland 41.9 42.3 41.9

Italy 25.0 29.9 27.4 28.3Cyprus 55.5 55.5Latvia 35.4 30.3 0.0 32.8Lithuania 21.9 23.3 22.4Luxembourg 16.6 16.6Hungary 36.6 41.3 48.6 38.1Malta 52.0 52.0Netherlands 20.3 23.4 22.7Austria 35.9 32.0 20.8 34.8Poland 27.7 29.0 35.1 28.5Portugal 29.3 29.6 25.3 28.8Slovenia n.a. n.a. n.a. 78.9Slovakia 37.7 46.8 45.3 43.0Finland 42.2 46.4 43.0Sweden 62.1 57.7 61.4United Kingdom 50.8 39.6 41.3 40.4Bulgaria 26.0 22.7 25.4 25.3Romania 18.6 21.8 17.2 19.9EU25 29.3 32.1 30.4 excl. ES, SI 31.2EU15 28.5 31.8 29.6 excl. ES 30.4NMS10 30.1 32.5 37.9 excl. SI 32.3EU27 24.9 28.5 30.3 excl. ES, SI 27.4

Table 3.5.1.b

Country (1)PR (2)IR (3)PU MS value

Belgium 22.1 16.3 18.2Czech Republic 44.5 30.4 44.4Denmark 41.9 41.9Germany 45.4 51.7 47.6Estonia 44.3 44.3Greece 22.2 19.7 29.3 21.8Spain 31.8 28.0 41.4 31.6France 20.7 23.9 28.1 23.9Ireland 45.0 38.4 41.9Italy 23.3 31.3 23.7 28.3Cyprus 55.5 55.5Latvia 32.8 32.8Lithuania 22.4 22.4Luxembourg 16.6 16.6Hungary 35.9 40.8 42.5 38.1Malta 52.0 52.0Netherlands 18.9 23.5 22.7Austria 36.6 34.0 34.8Poland 27.7 28.4 35.4 28.5Portugal 30.9 26.1 30.7 28.8Slovenia 78.9 78.9Slovakia 42.9 45.3 43.0Finland 41.5 46.4 43.0Sweden 62.2 57.9 61.4United Kingdom 39.6 41.9 40.4Bulgaria 24.6 28.2 25.3Romania 19.3 21.0 23.9 19.9EU25 30.0 31.4 32.9 31.2EU15 28.3 30.8 31.9 30.4NMS10 31.4 32.6 38.5 32.3EU27 24.7 29.1 32.5 27.4

Note: The total for France and therefore the European aggregates include the overseas departments

% holders with other gainful activities - 2003 - FSS Region level

Objective 27 - Farmers with Other Gainful Activities% holders with other gainful activities - 2003 - FSS District level

IT: missing data mainly in PU districts

Note: The total for France and therefore the European aggregates include the overseas departments

Objective 27 - Farmers with Other Gainful Activities

129

Map 3.5.1

130

Table 3.5.2.a

Country (1) PR (2) IR (3) PU

Belgium 92.5 95.4 98.0 97.6 4 038.1Czech Republic 89.3 95.9 99.6 96.1 4 722.2Denmark 93.8 95.5 99.1 96.1 2 679.0Germany 93.6 95.9 99.0 97.6 37 763.0Estonia 81.8 93.8 97.5 93.2 544.2Greece 67.8 83.2 98.7 83.8 3 290.8 pSpain 84.1 92.5 98.4 93.7 15 557.0France 92.1 96.0 99.1 96.4 23 961.3Ireland 89.8 99.4 93.0 1 654.9Italy 91.4 93.4 97.4 95.4 22 895.6Cyprus 92.5 92.5 297.6Latvia 75.6 79.4 99.0 84.9 832.4Lithuania 72.6 89.4 82.2 1 160.2Luxembourg 99.7 99.7 287.0Hungary 89.8 94.5 99.4 93.4 2001 3 662.6 2001Malta 98.4 98.4 146.0Netherlands n.a. n.a. n.a. n.a. 7 175.1 LFSAustria 90.3 97.2 99.4 95.1 3 599.9Poland 72.4 79.0 98.3 82.1 10 684.5Portugal 77.0 85.6 97.2 90.4 4 546.0Slovenia 85.0 94.3 88.8 795.0Slovakia 92.5 94.9 98.6 95.0 1 925.8Finland 92.0 98.1 94.7 2 233.6Sweden 96.9 98.7 97.6 4 247.0United Kingdom 91.6 97.7 99.4 98.8 2001 29 454.6 2001Bulgaria 67.1 73.2 97.6 74.2 2 209.5Romania n.a. n.a. n.a. n.a. 6 057.3 LFSEU25 86.8 93.8 98.7 94.9 excl. NL 188 153.4EU15 90.0 95.0 98.7 96.2 excl. NL 163 382.9NMS10 78.4 89.0 98.7 87.8 24 770.5EU27 85.8 93.6 98.7 94.6 excl. NL, RO 196 420.2

Table 3.5.2.b

Country (1) PR (2) IR (3) PU

Belgium 93.3 97.6 97.7 97.6 4 038.1Czech Republic 95.5 99.6 96.1 4 722.2Denmark 96.3 96.3 2 679.0Germany 95.2 96.8 98.7 97.6 37 763.0Estonia 93.2 93.2 544.2Greece 71.5 80.0 98.7 83.8 3 290.8 pSpain 88.0 90.3 97.7 93.7 15 557.0France 93.3 95.4 99.0 96.4 23 961.3Ireland 88.9 94.4 93.0 1 654.9Italy 92.9 94.0 97.0 95.4 22 895.6Cyprus 92.5 92.5 297.6Latvia 84.9 84.9 832.4Lithuania 82.2 82.2 1 160.2Luxembourg 99.7 99.7 287.0Hungary 88.6 94.2 98.0 93.4 2001 3 662.6 2001Malta 98.4 98.4 146.0Netherlands 86.0 88.2 87.8 LFS 7 175.1 LFSAustria 92.9 95.2 99.5 95.1 3 599.9Poland 74.9 83.2 93.8 82.1 10 684.5Portugal 83.6 89.1 98.0 90.4 4 546.0Slovenia 88.8 88.8 795.0Slovakia 94.2 98.6 95.0 1 925.8Finland 94.7 94.7 2 233.6Sweden 97.0 98.6 97.6 4 247.0United Kingdom 91.9 99.6 99.3 99.4 2001 29 454.6 2001Bulgaria 68.2 88.5 74.2 2 209.5Romania 54.3 68.8 97.3 63.2 LFS 6 057.3 LFSEU25 87.4 94.0 97.5 94.7 188 153.4EU15 90.8 95.2 97.6 95.9 163 382.9NMS10 80.5 88.9 96.7 87.8 24 770.5EU27 80.1 93.2 97.5 93.0 196 420.2Note: The total for France and therefore the European aggregates include the overseas departments

(Objective 28) - Employment Development of the Non-Agricultural Sector Share of employment in secondary and tertiary sectors (% total Employment) - 2002 - NUTS 2

MS - Summary of available data

MS employment development of the non-agricultural sector

(1000 p)

MS - Summary of available data

MS employment development of the non-agricultural sector

(1000 p.)

Note: The total for France and therefore the European aggregates include the overseas departments

(Objective 28) - Employment Development of the Non-Agricultural Sector Share of employment in secondary and tertiary sectors (% total Employment) - 2002 - NUTS 3

131

Map 3.5.2

132

Table 3.5.3.a

Country (1) PR (2) IR (3) PUMS economic development

of non agricultural sector (Mio Euro)

Belgium 95.5 97.1 99.0 98.8 238 811.1Czech Republic 90.4 96.2 99.9 96.9 70 217.8Denmark 95.2 97.4 99.8 97.6 153 936.1Germany 96.3 97.8 99.6 98.9 1 936 910.0Estonia 85.2 95.7 97.9 95.1 6 391.2Greece 86.0 93.1 99.4 92.9 118 105.5Spain 91.0 96.0 99.2 96.7 635 122.3France 94.0 96.6 99.5 97.4 1 365 323.0Ireland 95.9 99.8 97.3 112 910.3Italy 95.5 96.3 98.4 97.4 1 146 794.2Cyprus 96.1 96.1 10 171.4Latvia 88.2 92.3 99.4 95.4 8 399.8Lithuania 87.1 96.0 93.0 12 507.6Luxembourg 99.4 99.4 24 290.1Hungary 93.0 96.1 99.6 96.3 58 706.3Malta 97.4 97.4 3 716.5Netherlands 94.0 96.0 97.8 97.5 395 920.0Austria 95.6 98.8 99.7 98.0 193 288.0Poland 94.2 96.2 99.8 96.9 171 550.7Portugal 89.4 94.2 98.9 96.4 111 674.0Slovenia 95.4 98.4 96.9 20 267.3Slovakia 92.2 95.1 99.1 95.5 22 425.1Finland 94.2 98.9 96.5 119 812.2Sweden 97.4 99.3 98.2 225 214.4United Kingdom 93.9 97.5 99.6 99.0 1 426 488.9Bulgaria 82.0 85.7 99.3 87.9 12 859.8Romania 80.1 88.0 99.9 87.4 38 327.4EU25 94.5 96.9 99.3 97.9 8 588 953.8EU15 94.7 97.0 99.2 98.0 8 204 600.1NMS10 93.4 96.2 99.6 96.5 384 353.7EU27 94.3 96.8 99.3 97.8 8 640 141.0Notes:

Table 3.5.3.b

Country (1) PR (2) IR (3) PUMS economic development

of non agricultural sector (Mio Euro)

Belgium 96.4 98.6 98.8 98.8 238 811.1Czech Republic 95.9 99.9 96.9 70 217.8Denmark 97.6 97.6 153 936.1Germany 97.8 98.4 99.4 98.9 1 936 910.0Estonia 95.1 95.1 6 391.2Greece 88.1 90.6 99.4 92.9 118 105.5Spain 91.4 94.9 98.8 96.7 635 122.3France 95.2 96.4 99.4 97.4 1 365 323.0Ireland 93.9 98.1 97.3 112 910.3Italy 96.4 96.9 98.0 97.4 1 146 794.2Cyprus 96.1 96.1 10 171.4Latvia 95.4 95.4 8 399.8Lithuania 93.0 93.0 12 507.6Luxembourg 99.4 99.4 24 290.1Hungary 92.1 95.8 99.1 96.3 58 706.3Malta 97.4 97.4 3 716.5Netherlands 95.8 97.8 97.5 395 920.0Austria 96.7 98.1 99.8 98.0 193 288.0Poland 95.6 97.0 99.0 96.9 171 550.7Portugal 92.1 96.3 99.1 96.4 111 674.0Slovenia 96.9 96.9 20 267.3Slovakia 94.3 99.1 95.5 22 425.1Finland 96.5 96.5 119 812.2Sweden 97.4 99.2 98.2 225 214.4United Kingdom 92.9 97.8 99.5 99.0 1 426 488.9Bulgaria 82.5 96.4 87.9 12 859.8Romania 83.3 85.4 99.3 87.4 38 327.4EU25 95.5 97.1 99.0 97.9 8 588 953.8EU15 95.6 97.2 99.0 98.0 8 204 600.1NMS10 94.9 96.3 99.2 96.5 384 353.7EU27 95.0 97.1 99.0 97.8 8 640 141.0Notes:

(Objective 29) - Economic Development of the Non-Agricultural Sector

MS summary of available data

-The total for France and therefore the European aggregates include the overseas departments -These data do not take into account the activity in extra-regions (zzz).

Share of GVA in secondary and tertiary sectors (% total GVA) - 2002 - NUTS 2

(Objective 29) - Economic Development of the Non-Agricultural Sector

MS summary of available data

-The total for France and therefore the European aggregates include the overseas departments -These data do not take into account the activity in extra-regions (zzz).

Share of GVA in secondary and tertiary sectors (% total GVA) - 2002 - NUTS 3

133

Map 3.5.3

134

Table 3.5.4.i

Country % PR % IR % PU MS value - 1000 p.

Belgium 2.6 12.6 84.8 543.0Czech Republic 83.5 16.5 760.5Denmark 100.0 223.3Germany 4.7 51.0 44.3 3 879.0Estonia 100.0 54.3Greece 48.9 25.9 25.3 1 306.3Spain 8.0 49.8 42.2 2 972.8France 5.7 73.7 20.6 2 356.5Ireland 31.8 68.2 315.3Italy 6.0 47.6 46.4 5 721.3Cyprus 100.0 68.7Latvia 100.0 99.0Lithuania 100.0 216.5Luxembourg 100.0 15.0Hungary 36.3 28.1 35.5 535.3Malta 100.0 20.8Netherlands 15.3 84.7 935.5Austria 55.7 28.4 15.9 439.0Poland 35.9 57.6 6.5 2 925.5Portugal 40.3 42.2 17.5 1 264.0Slovenia 100.0 92.3Slovakia 84.0 16.0 256.5Finland 100.0 excl FI20 (PR) 290.8Sweden 58.7 41.3 438.0United Kingdom 0.9 34.6 64.5 3 580.8Bulgaria 71.9 28.1 382.0Romania 69.7 27.6 2.8 1 851.0EU25 15.5 47.5 37.0 29 301.0EU15 12.3 45.4 42.4 24 276.0NMS10 30.9 57.8 11.3 5 029.2EU27 19.3 46.1 34.6 31 542.4

Table 3.5.4.ii

Country (1) PR (2) IR (3) PU MS value

Belgium 14.3 12.7 13.2 13.1Czech Republic 15.5 21.0 16.2Denmark 8.1 8.2Germany 10.8 11.1 10.8 10.9Estonia 9.1 9.1Greece 37.9 33.3 20.5 30.3Spain 21.8 18.2 14.4 16.5France 12.3 10.5 7.5 9.7Ireland 20.8 15.5 16.9Italy 26.6 26.0 24.9 25.5Cyprus 20.2 20.3Latvia 9.7 9.7Lithuania 15.1 15.1Luxembourg 8.0 8.1Hungary 14.3 11.5 15.5 13.7Malta 14.0 14.0Netherlands 12.2 11.4 11.5Austria 12.5 11.6 9.8 11.7Poland 25.0 21.2 11.7 21.2Portugal 31.5 25.4 15.7 24.7Slovenia 9.8 9.8Slovakia 11.6 13.6 11.8Finland 12.2 excl FI20 (PR) 12.3Sweden 9.4 11.6 10.2United Kingdom 12.4 13.2 12.6 12.8Bulgaria 13.5 12.0 13.1Romania 24.6 17.6 5.4 20.3EU25 18.7 15.2 13.9 15.1EU15 18.2 14.8 13.8 14.7NMS10 19.6 16.9 14.5 17.4EU27 19.3 15.2 13.8 15.3

Objective 30 - Self-Employment Development

Note: At regional level, the total for France and therefore the European aggregates include the overseas departments, whereas they are not included at national level

Note: At regional level, the total for France and therefore the European aggregates include the overseas departments, whereas they are not included at national level

% of Self-employed persons in the different types of areas - 2004 - NUTS 2

Share of self-employment in total employment - 2004 - NUTS 2(Objective 30) - Self-Employment Development

135

Map 3.5.4

136

Table 3.5.5.a

Country % PR % IR % PU

Belgium 19.8 20.0 60.2 442 946Czech Republic 4.3 79.8 15.9 433 214Denmark 60.5 27.6 11.9 390 172

Germany 33.4 34.7 31.9 missing data mainly in PU regions 3 292 221

Estonia 4.9 87.1 8.0 32 899Greece 57.8 33.6 8.5 760 948Spain 9.1 78.1 12.8 2 973 442France 28.3 58.4 13.3 4 824 457Ireland 80.9 19.1 205 223Italy 16.6 42.2 41.2 4 205 577Cyprus 100.0 96 277Latvia 43.3 17.5 39.2 22 171Lithuania 24.5 75.5 32 286Luxembourg 100.0 66 568Hungary 50.7 36.5 12.8 336 494Malta 100.0 39 770Netherlands 1.2 34.0 64.8 1 176 239Austria 72.5 21.1 6.4 928 217Poland 46.1 39.7 14.2 584 623 pPortugal 15.2 49.3 35.5 433 160Slovenia 49.1 50.9 63 841Slovakia 19.1 69.6 11.3 162 000Finland 79.4 20.6 232 175 eSweden 82.1 17.9 682 278United Kingdom 7.8 40.7 51.5 2 019 218Bulgaria 60.5 34.1 5.4 190 040Romania 28.9 68.2 2.9 2001 277 047 2001EU25 26.8 46.6 26.6 24 435 884EU15 26.6 45.9 27.6 22 632 841NMS10 29.9 55.4 14.7 1 803 575EU27 27.1 46.7 26.2 (RO: 2001) 24 903 503 (RO: 2001)

Table 3.5.5.b

Country % PR % IR % PU

Belgium 13.6 19.9 66.5 442 946Czech Republic 84.1 15.9 433 214Denmark 100.0 390 172Germany 7.1 68.2 24.8 3 292 221Estonia 100.0 32 899Greece 73.5 18.0 8.5 760 948Spain 2.7 58.8 38.6 2 973 442France 8.5 80.4 11.1 4 824 457Ireland 28.7 71.3 205 223Italy 8.0 56.9 35.1 4 205 577Cyprus 100.0 96 277Latvia 100.0 22 171Lithuania 100.0 32 286Luxembourg 100.0 66 568Hungary 39.7 44.9 15.4 336 494Malta 100.0 39 770Netherlands 30.4 69.6 1 176 239Austria 65.1 29.7 5.1 928 217Poland 24.0 69.9 6.1 584 623 pPortugal 28.7 45.0 26.2 433 160Slovenia 100.0 63 841Slovakia 88.7 11.3 162 000Finland 100.0 232 175 eSweden 79.6 20.4 682 278United Kingdom 3.1 48.2 48.7 2 019 218Bulgaria 88.7 11.3 190 040Romania 28.4 68.2 3.3 2001 277 047 2001EU25 15.0 58.3 26.7 24 435 884EU15 14.6 57.6 27.8 22 632 841NMS10 20.5 67.6 11.9 1 803 575EU27 15.7 58.1 26.2 (RO: 2001) 24 903 503 (RO: 2001)

MS value

Note: The total for France and therefore the European aggregates include the overseas departments

Objective 31 - Tourism Infrastructure in Rural AreasTotal number of bedplaces (in hotels, campings, holiday dwellings, etc.) - 2004 - NUTS 3

Objective 31 - Tourism Infrastructure in Rural Areas

MS value

Note: The total for France and therefore the European aggregates include the overseas departments

Total number of bedplaces (in hotels, campings, holiday dwellings, etc.) - 2004 - NUTS 2

137

Map 3.5.5

138

Table 3.5.6 Table 3.5.7

Indicator

Measurement

Source

Year

UnitSubdivisions Rural Suburban Urban National Rural Suburban Urban NationalCountryBelgium 100.0 100.0 100.0 100.0 11.4 11.3 8.6 9.8Czech Republic n.a. n.a. n.a. n.a. n.a n.a n.a n.aDenmark 100.0 100.0 100.0 100.0 10.6 10.7 14.1 11.7Germany 55.0 97.0 99.0 90.7 2.4 8.5 10.2 8.1Estonia n.a. n.a. n.a. n.a. 3.5 6.4 7.4 6.3Greece 0.0 0.0 15.0 8.5 n.a n.a n.a n.aSpain 77.8 89.5 90.5 87.4 0.0 0.0 0.7 0.4France 64.6 97.0 99.6 90.8 8.0 10.3 12.0 10.7Ireland 32.0 95.0 99.0 71.0 0.5 1.0 6.1 2.9Italy 39.6 84.2 98.3 85.0 3.1 6.9 10.0 7.9Cyprus n.a. n.a. n.a. n.a. n.a n.a n.a n.aLatvia n.a. n.a. n.a. n.a. n.a n.a n.a n.aLithuania n.a. n.a. n.a. n.a. n.a n.a n.a n.aLuxembourg 100.0 100.0 100.0 100.0 6.1 7.0 7.5 7.0Hungary n.a. n.a. n.a. n.a. n.a n.a n.a n.aMalta n.a. n.a. n.a. n.a. n.a n.a n.a n.aNetherlands 100.0 100.0 100.0 100.0 11.5 11.5 11.5 11.5Austria 60.5 97.0 98.0 86.0 2.7 6.1 7.3 5.5Poland n.a. n.a. n.a. n.a. n.a n.a n.a n.aPortugal 77.1 95.7 98.9 91.9 1.8 4.0 6.4 4.1Slovenia n.a. n.a. n.a. n.a. n.a n.a n.a n.aSlovakia n.a. n.a. n.a. n.a. n.a n.a n.a n.aFinland 80.0 98.0 99.0 92.1 9.1 14.0 15.3 12.7Sweden 87.0 97.0 98.0 95.7 5.5 9.6 10.4 9.3United Kingdom 80.0 93.0 97.8 95.0 1.1 4.2 9.6 7.2Bulgaria n.a. n.a. n.a. n.a. n.a n.a n.a n.aRomania n.a. n.a. n.a. n.a. n.a n.a n.a n.aEU25 n.a. n.a. n.a. n.a. n.a n.a n.a n.aEU15 62.0 93.0 95.0 88.0 3.2 6.6 9.9 7.9NMS10 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.EU27 n.a. n.a. n.a. n.a. n.a. n.a. n.a. n.a.

%%

Idate (consultant)12/2004

Idate (consultant)12/2004

Objective 32-Internet Take-Up in Rural Areas Context 23 - Internet Infrastructure

% population having subscribed to DSL internet

DG INFSO

DSL coverage

DG-INFSO

139

Graph 3.5.6

Notes: - no data for NMS, candidate countries & the corresponding aggregates - delimitation of areas different of the OECD definition :

- rural: <100 hab./km2 - suburban: 100 to 500 hab./km2 - urban: >500 hab./km2

Graph 3.5.7

Notes: - no data for NMS, candidate countries & the corresponding aggregates - delimitation of areas different of the OECD definition :

- rural: <100 hab./km2 - suburban: 100 to 500 hab./km2 - urban: >500 hab./km2

Objective 32 - Internet Take-Up (% population having subscribed to DSL internet - December 2004)

0

2

4

6

8

10

12

14

16

18

BE CZ

DK

DE EE EL ES FR IE IT CY LV LT LU HU

MT

NL

AT PL PT SI

SK FI SE UK

BG RO

EU

25

EU

15

NM

S10

EU

27

Rural Suburban Urban National

Context 23 - Internet Infrastructure (DSL coverage - % population - December 2004)

0

10

20

30

40

50

60

70

80

90

100

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT NL

AT PL

PT SI SK FI SE

UK

BG RO

EU

25

EU

15

NM

S10

EU

27

Rural Suburban Urban National

140

Table 3.5.8.a

Country (1) PR (2) IR (3) PU MS value

Belgium 76.3 70.9 73.2 73.1Czech Republic 40.6 51.2 83.4 59.0Denmark 65.7 72.0 83.1 74.1Germany 64.2 64.7 72.7 70.1Estonia 51.2 70.3 52.0 67.5Greece 61.6 73.0 77.6 70.6Spain 63.5 67.5 70.4 68.2France 64.6 68.7 80.2 72.7Ireland 46.6 71.2 55.7Italy 71.5 69.8 70.6 70.4Cyprus 76.7 76.7Latvia 58.4 68.2 80.1 72.8Lithuania 52.6 68.5 63.1Luxembourg 82.6 82.6Hungary 59.1 58.3 79.2 66.1Malta 70.4 70.4Netherlands 61.8 64.1 75.0 73.3Austria 57.8 66.5 80.0 67.6Poland 63.3 65.4 71.9 67.2Portugal 60.2 63.0 73.5 69.1Slovenia 52.5 71.2 61.4Slovakia 59.3 59.3 78.5 64.3Finland 59.3 71.9 65.3Sweden 64.8 79.3 70.6United Kingdom 67.3 68.2 76.6 74.4Bulgaria 51.5 58.2 71.3 58.8Romania 45.5 45.3 69.3 50.0EU25 62.7 68.0 74.5 70.9EU15 63.0 68.5 74.5 71.1NMS10 59.9 61.4 75.5 65.3EU27 62.4 67.9 74.5 70.7Notes:

Table 3.5.8.b

Country (1) PR (2) IR (3) PU MS value

Belgium 73.7 73.5 73.1 73.1Czech Republic 50.6 83.4 59.0Denmark 74.1 74.1Germany 65.3 68.8 71.6 70.1Estonia 67.5 67.5Greece 65.0 68.9 77.6 70.6Spain 63.4 68.1 68.8 68.2France 70.4 68.5 80.4 72.7Ireland 57.5 55.3 55.7Italy 72.3 70.0 70.5 70.4Cyprus 76.7 76.7Latvia 72.8 72.8Lithuania 63.1 63.1Luxembourg 82.6 82.6Hungary 61.6 54.1 76.1 66.1Malta 70.4 70.4Netherlands 63.1 74.9 73.3Austria 63.0 60.1 82.7 67.6Poland 65.7 69.1 61.1 67.2Portugal 58.9 63.7 79.8 69.1Slovenia 61.4 61.4Slovakia 59.3 78.5 64.3Finland 65.3 65.3Sweden 64.8 78.7 70.6United Kingdom 68.0 69.6 76.5 74.4Bulgaria 54.1 66.3 58.8Romania 45.3 45.1 67.9 50.0EU25 65.1 68.6 74.1 70.9EU15 65.3 68.9 74.1 71.1NMS10 63.7 63.2 73.2 65.3EU27 64.5 68.5 74.1 70.7Notes:

Objective 33 - Development of Services Sector

-The total for France and therefore the European aggregates include the overseas departments

% of GVA in services - 2002 - NUTS 2

-These data do not take into account the activity in extra-regions (zzz).

-The total for France and therefore the European aggregates include the overseas departments

Objective 33 - Development of Services Sector % of GVA in services - 2002 - NUTS 3

-These data do not take into account the activity in extra-regions (zzz).

141

Map 3.5.8

142

Table 3.5.9

Country (1) PR (2) IR (3) PU

Belgium 4.4 4.3 3.2 3.4 3.4Czech Republic 2.1 6.1 2.5 2.5Denmark 1.3 1.3 1.3Germany 1.8 1.6 1.9 1.7 1.7Estonia 0.1 0.1 0.1Greece 3.2 0.6 6.4 3.1 2002 3.2Spain 13.3 11.9 19.0 15.3 14.9 eFrance 4.0 2.8 -4.1 1.0 2001 2.2 eIreland 16.1 8.0 10.1 2001 7.9 eItaly 7.4 10.1 11.5 10.6 10.6Cyprus 17.1 17.1 17.1Latvia -0.4 -0.4 -0.4Lithuania -1.8 -1.8 -1.8Luxembourg 4.6 4.6 4.6Hungary -0.9 1.0 5.6 1.6 1.5Malta 4.3 4.3 4.3Netherlands 2.4 0.1 0.4 0.4Austria 3.8 3.0 9.6 4.7 4.7Poland -1.5 0.6 -2.1 -0.4 -0.4Portugal 7.0 4.9 6.9 6.1 6.1 pSlovenia 1.8 1.8 1.8Slovakia 0.0 2.1 0.2 2001 0.3Finland 1.1 1.1 1.1Sweden 3.5 2.7 3.2 3.2United Kingdom -2.6 4.2 2.6 3.1 1999 2.5 eBulgaria -2.8 7.7 0.0 0.0Romania -0.8 -0.7 3.2 -0.3 -0.3EU25 2.7 4.1 4.8 4.2 excl. EE, CY, LU, MT 4.3 eEU15 4.5 4.9 5.0 4.9 excl. LU 5.0 eNMS10 -1.1 0.8 1.5 0.4 excl. EE, CY, MT n.a.EU27 1.8 4.0 4.8 3.9 excl. EE, CY, LU, MT n.a.

Objective 34 - Net Migration Rate

MS -summary of available data

MS value (2003)

Note: The total for France and therefore the European aggregates include the overseas departments

Net migration crude rate per 1000 - 2003 - NUTS 2

143

Map 3.5.9

144

Table 3.5.10

Country (1) PR (2) IR (3) PU MS value

Belgium 63.4 61.6 64.8 64.3Czech Republic 88.3 94.9 89.1Denmark 83.0 83.0Germany 86.0 86.3 81.0 83.9Estonia 88.9 88.9Greece 49.8 55.7 70.7 59.0Spain 34.1 42.2 50.3 45.4France 62.6 65.1 66.3 65.3Ireland 58.2 64.5 62.8Italy 46.4 47.7 51.3 49.3Cyprus 66.4 66.4Latvia 84.6 84.6Lithuania 86.6 86.6Luxembourg 77.6 77.6Hungary 71.0 73.7 82.9 75.3Malta 23.5 23.5Netherlands 68.9 70.8 70.6Austria 81.0 77.6 81.5 80.2Poland 82.6 83.4 86.7 83.6Portugal 21.1 19.7 36.7 25.2Slovenia 79.7 79.7Slovakia 86.3 92.3 87.0Finland 77.6 77.6Sweden 81.8 84.8 82.9United Kingdom 83.8 84.5 84.5 84.5Bulgaria 67.5 82.5 71.7Romania 69.5 70.8 83.4 71.5EU25 69.8 69.8 70.0 69.8EU15 63.7 66.2 69.1 67.2NMS10 80.7 84.0 84.6 83.2EU27 69.6 69.9 70.1 70.0

Context 22 - Educational Attainment

Note: The total for France and therefore the European aggregates do not include the overseas departments

% of adults with Medium & High educational attainment - 2004 - NUTS 2

145

Map 3.5.10

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Table 3.5.11

Country (1) PR (2) IR (3) PU MS value

Belgium 5.3 6.1 9.1 8.6Czech Republic 5.0 11.2 5.8Denmark 25.6 25.6Germany 6.8 7.3 7.6 7.4Estonia 6.4 6.4Greece n.a. n.a. n.a. 1.8Spain 4.2 5.0 4.4 excl. ES64 (PU) 4.7France 6.9 6.8 7.4 excl. FR83 & FR93 (PR) 6.9Ireland 5.2 6.4 6.1Italy 6.7 6.1 6.5 6.3Cyprus 6.2 6.2Latvia 8.4 8.4Lithuania 5.9 5.9Luxembourg 9.4 9.4Hungary 3.0 3.4 6.0 4.0Malta 4.3 4.3Netherlands 15.5 16.6 16.4Austria 11.1 11.7 12.6 11.6Poland 4.5 5.3 5.1 5.0Portugal 4.2 4.1 4.9 excl. PT20 (IR) & PT30 (PU) 4.3Slovenia 16.2 16.2Slovakia 3.2 12.3 4.3Finland 22.8 22.8Sweden 31.4 33.2 32.1United Kingdom 22.1 21.0 22.3 21.9Bulgaria 0.9 2.3 excl. BG11 (PR) 1.3Romania 1.2 1.3 2.2 1.4EU25 10.5 8.1 10.2 excl. EL 9.0EU15 13.5 8.9 10.4 excl. EL 9.7NMS10 5.6 5.1 6.6 5.4EU27 8.2 7.8 10.1 excl. EL 8.5

Objective 35 - Life-Long Learning in Rural Areas

Note: The total for France and therefore the European aggregates include the overseas departments

% of adults participating in education and training - 2004 - NUTS 2

147

Map 3.5.11

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Table 3.5.12

Indicator

Measurement

Source

Year

Unit

CountryBelgium 7.2Czech Republic n.a.Denmark 11.0Germany 12.4Estonia n.a.Greece 21.4Spain 14.6France 13.1Ireland 38.2Italy 16.6Cyprus n.a.Latvia n.a.Lithuania n.a.Luxembourg 26.7Hungary n.a.Malta n.a.Netherlands 11.7Austria 26.7Poland n.a.Portugal 32.8Slovenia n.a.Slovakia n.a.Finland 20.4Sweden 7.9United Kingdom 6.7Bulgaria n.a.Romania n.a.EU25 n.a.EU15 14.3NMS10 n.a.EU27 n.a.

Objective 36 - Development of Local Action Groups

%

Share of population covered by LEADER LAG's

DG AGRI-F3

2004

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Graph 3.5.12

Note: no data for NMS & Accession Countries

Objective 36 - Development of LAGs (Share of population covered by LEADER LAG's - 2004)

0

5

10

15

20

25

30

35

40

45

BE CZ

DK

DE

EE EL

ES FR IE IT CY LV LT LU HU

MT

NL

AT PL

PT SI

SK FI SE

UK

BG RO

EU

25

EU

15

NM

S10

EU

27

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151

ANNEXES

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ANNEX 3.A - Glossary of Terms & Definitions

Annual Work Unit (AWU):

Unit of measurement of labour force in agriculture. An Annual Work Unit is equivalent to a full-time employment. One AWU corresponds to the work performed by a person undertaking fulltime agricultural work on the holding over a 12 month period. The yearly working time of such worker is 1800 hours (225 working days of 8 hours per day), unless national provisions governing contracts of employment are specified. As the volume of agricultural labour is being calculated on the basis of fulltime equivalent jobs, no one person can therefore represent more than one AWU. This constraint holds even if it is known that someone is working on agricultural activities for more than the number of hours defining full-time in the Member State concerned.

Baseline indicators Baseline indicators reflect the state of the economic, social or environmental situation, at a given time (generally at the beginning of the intervention). Baseline indicators are used in the SWOT analysis and the definition of the programme strategy. They fall into two categories: 1) Objective related baseline indicators. These are directly linked to the wider objectives of the programme. They are used to develop the SWOT analysis in relation to objectives identified in the regulation. They are also used as a baseline (or reference) against which the programmes’ impact will be assessed. 2) Context related baseline indicators. These provide information on relevant aspects of the general contextual trends that are likely to have an influence on the performance of the programme. The context baseline indicators therefore serve two purposes: (i) contributing to identification of strengths and weaknesses within the region and (ii) helping to interpret impacts achieved within the programme in light of the general economic, social, structural or environmental trends.

CORINE Land Cover (CLC):

See chapter Main sources.

Economic Size (of an agricultural holding):

It represents the potential gross value added of the holding. The concept has been developed in the Community typology for agricultural holdings (Commission decision 85/377/EEC) that is applied in Farm Structure Surveys of Eurostat and in Farm Accounting Data Network of EC. It is obtained by multiplying, for each enterprise on the farm, the relevant gross margin (calculated as a multi-annual average at regional level and named standard gross margin) by the area (crops) or the livestock (animal productions). The total standard gross margin of the holding, expressed in euros, is then converted in European Standard Unit (1 ESU = 1,200 € SGM) and evaluates its economic size.

European Size Unit (ESU):

Unit of measurement of the economic size of an agricultural holding: 1 ESU = 1,200 € of Standard Gross Margin of the holding (Community typology for agricultural holdings -Commission decision 85/377/EEC).

European System of Accounts (ESA):

In the European Union, annual national accounts are compiled in accordance with the European System of Accounts: ESA 1995 (Council Regulation 2223/96 of 25.06.1996, OJ L310 of 30.11.1996). Some changes will be applied from Economic Accounts for 2005.

Farm Accountancy Data Network (FADN):

See chapter Main sources.

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Full-Time Equivalent Employment (FTE):

Full-time equivalent units are used to improve the comparability of measures of employment. Figures for the number of persons working less than the standard working time of a full-year full-time worker, should be converted into full time equivalents, with regard to the working time of a full-time full-year employee in the unit. Included in this category are people working less than a standard working day, less than the standard number of working days in the week, or less than the standard number of weeks/months in the year. The conversion should be carried out on the basis of the number of hours, days, weeks or months worked.

GreenHouse Gases (GHG):

The ‘greenhouse effect’ is the term commonly used to describe the natural process through which atmosphere gases absorb and re-radiate infrared radiation from the earth’s surface, and which is largely responsible for life on earth. It is generally accepted that human activities as the combustion of fossil fuels are altering the composition of gases in the atmosphere, which could cause heat that would normally be radiated out to be retained. There is indeed mounting evidence that emissions of greenhouse gases are causing global and European surface air temperature increases, resulting in climate change. Like any other economic sector the agriculture sector produces greenhouse gases, and is a major source of the non-CO2 greenhouse gases methane and nitrous oxide. Both of these gases are many times more powerful greenhouse gases than CO2. Greenhouse gases include CO2, CH4, N2O and fluorinated gases (HFCs, PFCs and SF6).

Gross Domestic Product (GDP):

The concept is used in the European System of Accounts. GDP at market prices -is the final result of the production activity of resident producer units (ESA 1995, 8.89). GDP is the total market value of all the goods and services produced within the borders of a nation (or region) during a specified period.

It can be defined in three ways:

a. Output approach

GDP is the sum of gross value added of the various institutional sectors or the various industries plus taxes and less subsidies on products (which are not allocated to sectors and industries). It is also the balancing item in the total economy production account.

b. Expenditure approach

GDP is the sum of final uses of goods and services by resident institutional units (final consumption expenditure and gross capital formation), plus exports and minus imports of goods and services.

c. Income approach

GDP is the sum of uses in the total economy generation of income account: compensation of employees, taxes on production and imports less subsidies, gross operating surplus and mixed income of the total economy.

Gross Fixed Capital Formation (GFCF):

The concept is used in the European System of Accounts. Gross fixed capital formation (ESA 1995, 3.102) consists of resident's product acquisitions, less disposals, of fixed assets during a given period plus certain additions to the value of non-produced assets realised by the productive activity of producer or institutional units. Fixed assets are tangible or intangible assets produced as outputs from processes of production that are themselves used repeatedly, or continuously, in processes of production for more than one year. Disposals of fixed assets are treated as negative acquisitions.

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Gross Value Added (GVA):

The concept is used in the European System of Accounts. Gross Value Added (ESA 1995, 8.11) is the net result of output valued at basic prices less intermediate consumption valued at purchasers' prices. Gross value added is calculated before consumption of fixed capital. It is equal to the difference between output (ESA 1995, 3.14) and intermediate consumption (ESA 1995, 3.69).

Holder (of an agricultural holding):

In Community Farm Structure Surveys (Commission Decision 2000/115/EC of 24.11.1999, OJ L38 of 12.02.2000 p.1), the holder of the holding is that natural person, group of natural persons or the legal person on whose account and in whose name the holding is operated and who is legally and economically responsible for the holding, i.e. who takes the economic risks of the holding. The holder can own the holding outright or rent it or be a hereditary long term leaseholder or a usufructuary or a trustee. All partners on a group holding who take part in the farm work on the holding are considered as being as holders. The legal and economic responsibility is defined according to Member States' documented own rules. The holder may have delegated all or part of power of decision of the normal daily financial and production routines of running of the holding to a manager. In the case of share farming (see item C/03 (a)) the share farmer is shown as holder and not the landlord.

ICP Forest International Co-operative Programme on the Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests).

Labour Force Survey (LFS)

See chapter Main sources.

Manager (of an agricultural holding):

In Community Farm Structure Surveys (Commission Decision 2000/115/EC of 24.11.1999, OJ L38 of 12.02.2000 p.1), the natural person or persons responsible for the normal daily financial and production routines of running the holding concerned. The manager is generally, but not always, the same person as the holder who is a natural person. As managers of a group holding are taken those partners of the holding taking part in the farm work on the holding. In cases where the holder is not also the manager he/she has charged or employed someone else with the running of the holding. This could be for example a member of his/her family or his/her spouse, but can also be a person with no family ties to the holder.

Natura 2000: Natura 2000 is the centrepiece of EU nature & biodiversity policy. It is an EUwide network of nature protection areas established under the 1992 Habitats Directive. The aim of the network is to assure the long-term survival of Europe's most valuable and threatened species and habitats. It is comprised of Special Areas of Conservation (SAC) designated by Member States under the Habitats Directive (Council Directive 92/43/EEC of 21.05.1992), and also incorporates Special Protection Areas (SPAs) which they designate under the 1979 Birds Directive (Council Directive 79/409/EEC of 2.04.1979). The establishment of this network of protected areas also fulfils a Community obligation under the UN Convention on Biological Diversity.

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Nomenclature of territorial units for statistics (NUTS):

The NUTS nomenclature serves as a reference for the collection, development and harmonization of EU regional statistics and for socio-economic analyses of the regions. Legal basis is Regulation (EC) No 1059/2003 of the European Parliament and of the Council of 26 May 2003 on the establishment of a common classification of territorial units for statistics (NUTS), OJ L154 of 21.06.2003 p.1.

Structure:

• Level 0: 25 countries

• Level 1: 89 regions

• Level 2: 254 regions

• Level 3: 1214 regions

N.B. At a more detailed level, there are the districts and municipalities. These are called "Local Administrative Units" (LAU) and are not subject of the NUTS Regulation.

In FSS and in FADN, specific regions are used, based on different levels of NUTS or recombination of NUTS.

Nomenclature statistique des Activités économiques dans la Communauté Européenne" (NACE):

NACE (Statistical classification of economic activities in the European Community) was adopted in order to establish a common statistical classification of economic activities within the European Community in order to ensure comparability between national and community classifications and hence national and community statistics.

Current version is NACE Rev. 1.1 corresponding to ISIC Rev.3 (of United Nations) at European level. Though more disaggregated than ISIC Rev.3.1, NACE Rev.1.1 is totally in line with it and can thus be regarded as its European counterpart. Since the national economic structures vary considerably, there are branches of industry in NACE Rev. 1.1 which are not of importance or do not occur in all Member States (e.g. branches of mining and quarrying, manufacture of spacecraft, etc.). The NACE Rev. 1.1 Regulation allows the Member States to use a national version derived from NACE Rev. 1.1 for national purposes. Such national versions must, however, fit into the structural and hierarchical framework laid down by NACE Rev. 1.1.

Structure:

• Level 1: 17 sections identified by alphabetical letters A to Q;

• intermediate level: 31 sub-sections identified by two-character alphabetical codes;

• Level 2: 62 divisions identified by two-digit numerical codes (01 to 99);

• Level 3: 224 groups identified by three-digit numerical codes (01.1 to 99.0);

• Level 4: 514 classes identified by four-digit numerical codes (01.11 to 99.00).

Purchasing Power Purchasing Power Standard (PPS) shall mean the artificial common reference currency unit used in the European Union to express the

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Standard (PPS): volume of economic aggregates for the purpose of spatial comparisons in such a way that price level differences between countries are eliminated. Economic volume aggregates in PPS are obtained by dividing their original value in national currency units by the respective PPP. I PPS thus buys the same given volume of goods and services in all countries, whereas different amounts of national currency units are needed to buy this same volume of goods and services in individual countries, depending on the price level.

Sectors primary / secondary / tertiary:

Specific grouping of economic activities of NACE rev 1.1:

Primary sector covers divisions 01 to 05 or branches A (Agriculture, hunting and forestry) & B (fishing)

Secondary sector covers divisions 10 to 45 or branches C to F (Mining and quarrying, Manufacturing, Electricity, gas and water supply, Construction)

Tertiary sector covers divisions 50 to 95 or branches G to P (private and public services). In Labour Force Survey it also covers branch Q (Extra-territorial organizations and bodies).

N.B.: In some statistical series, it is possible to restrict the primary sector to division 01 and 02 or branch A of NACE rev. 1.1 (Agriculture, hunting and forestry).

See also Type of Farming of an agricultural holding.

Special Areas of Conservation (SAC):

Areas designated under the Habitats Directive (Council Directive 92/43/EEC of 21 May 1992) to be part of NATURA 2000 network of nature protection areas.

Special Protection Areas (SPA):

Areas designated by Member States under the Birds Directive (Council Directive 79/409/EEC of 2 April 1979) to be part of NATURA 2000 network of nature protection areas.

Standard Gross Margin (SGM) of an enterprise:

The concept has been developed in the Community typology for agricultural holdings (Commission decision 85/377/EEC). The SGM is the balance between the standard value of output and the standard value of certain direct costs, i.e. by convention the proportional (variable) costs which can easily be allocated to this output. The SGM is an economic criterion expressed in monetary terms, either per hectare of utilised agricultural area in the case of crop enterprises or per head of livestock in the case of livestock farming. The Member States calculate regional SGM coefficients for each enterprise as average values over the reference period.

Type of Farming (TF) of an agricultural holding:

The concept has been developed in the Community typology for agricultural holdings (Commission decision 85/377/EEC). The type of farming on a holding is the production system of a holding which is characterised by the relative contribution of different enterprises to the holding's total standard gross margin. Depending on the amount of detail required, there are three nested levels of type of farming: 9 general types, 17 principal types and 50 particular types.

UNECE: United Nations Economic Commission for Europe

Utilised Agricultural Area (UAA):

In Community farm structure surveys (FSS), the Utilised Agricultural Area is defined as the total of arable land, permanent pastures and meadows, land use for permanent crops and kitchen gardens (Council Regulation 571/88 of 29.02.1988, OJ L56 of 2.03.1988 p.3). The UAA excludes unutilised agricultural land, woodland and land occupied by buildings, farmyards, tracks, ponds, etc.

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159

ANNEX 3.B - Main Sources

• CORINE Land Cover. The Corine Land Cover project was adopted by the European Commission in 1985 (Directorate General "Environment") then managed by the European Topic Centre of the European Environment Agency in 1993.

The aim of Corine Land Cover is to provide information on land cover and on the state of the environment in the European Union. Corine Land Cover is a cartographic tool which covers every national territory where the survey is undertaken.

CORINE Land Cover databases are obtained through computer assisted interpretation of satellite images acquired in 1990 and 2000, offering the possibility to describe the geographic distribution of specific land cover changes in a geo-referenced approach.

CORINE land cover (CLC) describes land cover (and partly land use) with a three-level nomenclature of 44 classes. CLC was elaborated based on the visual interpretation of satellite images (Spot, Landsat TM and MSS). Ancillary data (aerial photographs, topographic or vegetation maps, statistics, local knowledge) is used to refine interpretation and assign classes. The CLC database is based on a standard production methodology characterised by the following elements: Mapping scale is 1:100 000. Mapping accuracy is 100 m. The minimum mapping unit for the inventory is 25 ha for areas, and 100 m for linear elements.

Website of Corine Land Cover is: http://dataservice.eea.eu.int/dataservice/available2.asp?type=findkeyword&theme=clc2000

• Farm Accountancy Data Network (FADN) The concept of the FADN was launched in 1965, when Council Regulation 79/65 established the legal basis for the organisation of the network. It consists of an annual survey carried out by the Member States of the European Union. The services responsible in the Union for the operation of the FADN collect every year accountancy data from a sample of the agricultural holdings in the European Union. Derived from national surveys, the FADN is the only source of micro-economic data that is harmonised, i.e. the bookkeeping principles are the same in all countries. Holdings are selected to take part in the survey on the basis of sampling plans established at the level of each region in the Union. The survey does not cover all the agricultural holdings in the Union but only those which due to their size could be considered commercial. The methodology applied aims to provide representative data along three dimensions: region, economic size and type of farming. While the European Commission is the primary user of analyses based on FADN-data, aggregated data can be found in the Standard Results database.

Website of FADN is: http://europa.eu.int/comm/agriculture/rica/dwh/index_en.cfm

• Farm Structure Survey (FSS) The purpose of the Community surveys on the structure of agricultural holdings, also referred to as farm structure surveys (FSS), is to obtain reliable data, at regular intervals, on the structure of agricultural holdings in the European Union, in particular on land use, livestock and labour force. It was first conducted in 1966-67. FSS are carried out at intervals of two to three years. Approximately every ten years, a full scope is carried out in the form of an

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agricultural census. They usually contain more extensive information than those in the mid-term years, particularly regarding labour data. From 1975, results were held on a computer databank in the form of standard tables. Since survey 1990, individual (micro) data are transmitted to Eurostat and stored in a new database (Eurofarm).

Data are available at country level, standard region and district level (for intermediate surveys, only for MS carrying on a census). The results are published 2 to 3 years after the reference year of the survey.

Data is disseminated through hard copy publication, New Cronos, and on request.

Website of Eurostat is: http://epp.eurostat.cec.eu.int/portal

• IRENA project. DG Agriculture, DG Environment, DG Eurostat and DG Joint Research Centre have agreed to pool skills and resources with the European Environment Agency to assess the integration of the environment into the Common Agricultural Policy (CAP) and in particular to develop indicators to monitor such integration, i.e. agri-environmental indicators (AEI), through the project known as IRENA (Indicator Reporting on the Integration of Environmental Concerns into Agriculture Policy).

The purpose of the IRENA project is to compile and develop a set of agri-environmental indicators, to provide related databases at the appropriate geographical level, and to produce an indicator-based assessment of the integration of environmental concerns into EU agricultural policy. The data sets contain aggregated data, typically on a country level, with geographical coverage of at least the 15 EU Member States. The data can be found on the website of the European Environment Agency.

Website of IRENA is: http://webpubs.eea.eu.int/content/irena/index.htm

• Labour Force Survey (LFS) The Labour Force Survey (LFS) is a quarterly sample survey of households living at private addresses. Its purpose is to provide information on the labour market that can then be used to develop, manage, evaluate and report on labour market policies.

The survey seeks information on respondents' personal circumstances and their labour market status during a specific reference period, normally a period of one week or four weeks (depending on the topic) immediately prior to the interview.

The LFS is carried out under a European Union Directive and uses internationally agreed concepts and definitions. It is the source of the internationally comparable (International Labour Organisation) measure known as 'ILO unemployment'. Data can be found on the Eurostat website.

Website of Eurostat is: http://epp.eurostat.cec.eu.int/portal

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• National Accounts of European System of Accounts (ESA) National Accounts are compiled in accordance with the European System of Accounts (ESA 1995) adopted in the form of a Council Regulation dated 25 June 1996, N° 2223/96 and originally published in the Official Journal L310 of the 30/11/1996. Data are provided by the National Statistical Institutes' Accounts Departments. Data come from many sources, including administrative data from government, censuses, and surveys of businesses and households. Sources vary from country to country and may cover a large set of economic, social, financial and environmental items, which need not always be strictly related to National Accounts. In any case, there is no one single survey source for National Accounts.

The periods referred to are years. Data cover the period from 1995 to the actual calendar year minus 2.

Data are disseminated simultaneously to all interested parties through a database update and on Eurostat website (see “Dissemination formats” below for more details).

National data are published by the National Statistical Institutes (NSI) following national dissemination calendars.

Website of Eurostat is: http://epp.eurostat.cec.eu.int/portal

• Temperate and Boreal Forest Resources Assessment (TBFRA) The Temperate and Boreal Forest Resources Assessment (TBFRA) 2000, is the latest in a series of surveys of the temperate and boreal countries carried out every ten years by ECE and FAO. TBFRA 2000 is a part of the global Forest Resources Assessment (FRA) process led by the FAO Forestry Department.

Based on the expert knowledge of country correspondents in all European countries, the Report Forest Resources of Europe, CIS, North America, Australia, Japan and New Zealand (TBFRA-2000) presents the most recent and the best possible information on the forest resources of the fifty-five industrialized temperate/boreal countries (including the whole ECE region, meaning the EU Member States, the other EEA countries, Switzerland and the candidate countries), covering practically all aspects and functions of the forest. It presents validated national statistical data, adjusted to the TBFRA standards, graphs, tabular and textual information and analysis in the following specific thematic areas: areas of forest and other wooded land, ownership and management status, wood supply and carbon sequestration, biological diversity and environmental protection, forest condition and damage, and protective and socioeconomic functions.

Website of TBFRA is: http://www.unece.org/trade/timber/fra

Based on these efforts, the Ministerial Conference on the Protection of Forests in Europe (MCPFE) and UNECE/FAO have joined forces to develop a comprehensive report (State of Europe’s forests 2003) about the state of sustainable forest management in Europe over the last ten years. This assessment is based on a list of indicators: “Improved Pan-European Indicators for Sustainable Forest Management”, adopted by the MCPFE Expert Level Meeting 7-8 October 2002, Vienna, Austria. Those documents are available at: http://www.mcpfe.org

The Global Forest Resource Assessment (FRA 2005) has been released in early 2006.

The above mentioned reports as well as TBFRA 2000 database are available at the website of the UNECE: http://www.unece.org/trade/timber/

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ANNEX 3.C - Technical Annex

Objective related Baseline Indicators

HORIZONTAL

Baseline indicator objective related 1 - Economic development

Measurement of the indicator

GDP per capita, expressed in PPS, as % of EU-25 = 100, three year average

Definition of the indicator

One of the main criteria for economic development is Gross Domestic Product (GDP). GDP is the total market value of all the goods and services produced within the borders of a nation (or region) during a specified period. In order to be able to compare the economic strength of regions a relative indicator is needed. For this purpose GDP will be calculated in purchasing power standards (pps) per capita as a percentage of the EU average. A three year average mitigates the short-term fluctuations. Economic development is then calculated as the ratio of the averages: (three year average GDP) / (three year average population), and further expressed as a percentage of the three year EU average.

Unit of measurement PPS / capita (purchasing power standards per capita) EU-25=100

Source Eurostat – Economic accounts (ESA95)

Baseline indicator objective related 2 - Employment rate

Measurement of the indicator

Employed persons aged 15-64 as a percentage of the population of the same age group.

Definition of the indicator

In Labour Force Surveys: • Employed persons are all persons aged 15 and over who during the reference

week worked at least one hour for pay or profit or were temporarily absent from such work. Employed persons comprise employees, self-employed and family workers.

• Population covers persons aged 15 and over, living in private households (population living in public households are not included). This comprises all persons living in the households surveyed during the reference week. This definition also includes persons absent from the households for short periods (but having retained a link with the private household) owing to studies, holidays, illness, business trips, etc.). Persons on compulsory military service are not included.

Unit of measurement % Source Eurostat - Labour Force Survey

Baseline indicator objective related 3 - Unemployment

Measurement of the indicator

Rate of unemployment i.e. unemployed persons as a percentage of economically active population

Definition of the indicator

Unemployed persons comprise persons aged 15-74 who were (all three conditions must be fulfilled simultaneously): 1. without work during the reference week 2. available for work at the time 3. actively seeking work Economically active population is employed plus unemployed.

Unit of measurement %

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Source Eurostat - Labour Force Survey

AXIS 1 IMPROVING THE COMPETITIVENESS OF THE AGRICULTURAL

AND FORESTRY SECTOR Baseline indicator objective related 4 - Training and education in agriculture

Measurement of the indicator

% farmers with basic and full education in agriculture attained

Definition of the indicator

This indicator provides information on the education level of managers within a region. This indicator covers managers that have attained basic and full agricultural training. According to the Commission Decision of 24 November 1999 relating to the definitions of the characteristics, the list of agricultural products, the exceptions to the definitions and the regions and districts regarding the surveys on the structure of agricultural holdings(notified under document number C(1999) 3875) (2000/115/EC), the Manager's agricultural training is defined as follows: Only practical agricultural experience: experience acquired through practical work on an agricultural holding. Basic agricultural training: any training courses completed at a general agricultural college and/or an institution specialising in certain subjects (including horticulture, viticulture, sylviculture, pisciculture, veterinary science, agricultural technology and associated subjects). A completed agricultural apprenticeship is regarded as basic training. Full agricultural training: any training course continuing for the equivalent of at least two years full time training after the end of compulsory education and completed at an agricultural college, university or other institute of higher education in agriculture, horticulture, viticulture, sylviculture, pisciculture, veterinary science, agricultural technology or an associated subject.

Unit of measurement % Source Eurostat – Farm Structure Survey 2000

Baseline indicator objective related 5 - Age structure in agriculture

Measurement of the indicator

Ratio between percentage of farmers less than 35 years old and percentage of farmers of 55 years old or more

Definition of the indicator

The indicator only covers farms were the holder is a natural person. For the age structure, two groups are distinguished:

• Holders < 35 years;

• Holders >55 years. Unit of measurement % Source Eurostat – Farm Structure Survey 2003

Baseline indicator objective related 6 - Labour productivity in agriculture

Measurement of the indicator

Gross Value Added per annual work unit (GVA/AWU)

Definition of the indicator

Labour productivity in agriculture is expressed in Gross Value Added at basic price (GVA) per annual work unit (AWU). GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. GVA per Annual Work Unit (AWU) provides comparable data on labour productivity and allows for comparison over the sub-sectors and regions. At sub-sectors level (sub-indicators), the measurement is Gross Value Added (at factor

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cost)/AWU (in FADN) equivalent to Gross Farm Income/AWU. When data availability makes it possible, a three year average mitigates the short-term fluctuations. Labour productivity is then calculated as the ratio of the averages: (three year average GVA) / (three year average labour force). The agricultural sector corresponds to division 01 of NACE rev. 1.1 (Agriculture, hunting and related service activities). In the Economic Accounts for Agriculture, there are the following differences:

- inclusion of the production of wine and olive oil (exclusively using grapes and olives grown by the same holding), the growing of vegetable materials used for plaiting, Christmas trees, fruit trees, vines and ornamental nursery trees, - exclusion of the activities relating to the production of seeds upstream and downstream of multiplication and certain activities which, in NACE Rev. 1, are considered as agricultural services (i.e. the operation of irrigation systems, the design, planting and maintenance of gardens, parks and green areas for sports facilities and the like, tree pruning and hedge trimming; only agricultural contract work is taken into account here).

Sub-sectors correspond to specialised Types of Farms defined in the Community typology for agricultural holdings (Commission Decision 85/377/EEC)

Sub-indicators Labour productivity in field crops (TF1 of Community typology for agricultural holdings) Labour productivity in horticulture (TF2) Labour productivity in permanent crops (TF3) Labour productivity in grazing livestock (TF4) Labour productivity in granivores (TF5)

Unit of measurement Thousand Euro/AWU Eventually with Index (EU 25 = 100) at national level

Source At national level: Eurostat - Economic Accounts for Agriculture & Agricultural Labour Input Statistics At regional level: Eurostat - Regional economic Accounts for Agriculture & Farm Structure Survey 2003 By sector: DG AGRI - Farm Accountancy Data Network (FADN)

Baseline indicator objective related 7 - Gross fixed capital formation in agriculture

Measurement of the indicator

Gross fixed capital formation in agriculture

Definition of the indicator

Gross fixed capital formation in agriculture: the investments in assets which are used repeatedly or continuously over a number of years to produce goods in agriculture. It is measured in absolute terms. Agriculture is taken as defined for the Economic Accounts for Agriculture (for differences with division 01 of NACE rev 1.1, see indicator fiche n°6.)

Unit of measurement Mio. Euro Source At national level:

Eurostat - Economic Accounts for Agriculture At regional level: Eurostat - Regional economic Accounts for Agriculture

Baseline indicator objective related 8 - Employment development of primary sector

Measurement of the indicator

Employment in primary sector

Definition of the indicator

In Economic Accounts, total employment (ESA 1995, 11.11) covers all persons – both employees and the self-employed - in a specific region. In the European Union Labour Force Survey, employment covers all persons aged 15 year and over, having work for pay or profit regardless the number of hours per week

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Primary sector corresponds to division 01 and 02 or branch A of NACE rev. 1.1 (Agriculture, hunting and forestry). When data are provided at NUTS-3 level, or when the source is Labour Force Survey – regardless the NUTS level - Primary sector also covers division 05 or branch B of NACE rev. 1.1 (fishing).

Unit of measurement Thousands of people employed Source Eurostat – National Accounts / Labour Force Survey

Baseline indicator objective related 9 - Economic development in primary sector

Measurement of the indicator

Gross Value Added in primary sector

Definition of the indicator

This indicator measures the gross value added (GVA) in the primary sector in a region. GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. GVA is measured in absolute terms. Primary sector corresponds to division 01 and 02 or branch A of NACE rev. 1.1 (Agriculture, hunting and forestry). When data are provided at NUTS-3 level, Primary sector also covers division 05 or branch B of NACE rev. 1.1 (fishing).

Unit of measurement Mio euro Source At national level:

Eurostat - National Accounts At regional level: Eurostat – Economic Accounts (ESA95)

Baseline indicator objective related 10 - Labour productivity in food industry

Measurement of the indicator

Gross Value Added per people employed in food industry

Definition of the indicator

Labour productivity is measured through the Gross Value Added (GVA) in food industry per person employed in that branch. GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. GVA is measured in absolute terms. Employment covers all persons – both employees and self-employed – engaged in some productive activity that falls within the production boundary of the system. Food industry corresponds to division 15 and 16 or branch DA of NACE rev. 1.1 (manufacture of food products; beverages and tobacco products).

Unit of measurement Thousands euro per people employed Source Eurostat - National Accounts

Baseline indicator objective related 11 - Gross fixed capital formation in food industry

Measurement of the indicator

Gross fixed capital formation in food industry

Definition of the indicator

Gross fixed capital formation in food industry: investments in assets which are used repeatedly or continuously over a number of years to produce goods in food industry. It is measured in absolute terms. Food industry corresponds to division 15 and 16 or branch DA of NACE rev. 1.1 (manufacture of food products; beverages and tobacco products).

Unit of measurement Mio euro Source Eurostat - National Accounts

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Baseline indicator objective related 12 - Employment development in food industry

Measurement of the indicator

Employment in food industry

Definition of the indicator

The absolute employment provides an indication of the importance of the sector in providing jobs in a region. In Economic Accounts, total employment (ESA 1995, 11.11) covers all persons – both employees and the self-employed - in a specific region. Food industry corresponds to division 15 and 16 or branch DA of NACE rev. 1.1 (manufacture of food products; beverages and tobacco products).

Unit of measurement Thousands of people employed Source Eurostat - National Accounts

Baseline indicator objective related 13 - Economic development of food industry

Measurement of the indicator

Gross value added in the food industry

Definition of the indicator

This indicator measures the gross value added (GVA) in the food industry sector in a region. GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. GVA is measured in absolute terms. Food industry corresponds to division 15 and 16 or branch DA of NACE rev. 1.1 (manufacture of food products; beverages and tobacco products).

Unit of measurement Mio euro Source Eurostat - National Accounts

Baseline indicator objective related 14 - Labour productivity in forestry

Measurement of the indicator

Gross Value Added per people employed in forestry

Definition of the indicator

Labour productivity is measured through the Gross Value Added in forestry per employee. GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. GVA is measured in absolute terms. Employment covers all persons – both employees and self-employed – engaged in some productive activity that falls within the production boundary of the system. Forestry sector corresponds to division 02 in NACE rev. 1.1 (Forestry, logging and related activities). In Economic Accounts for Forestry, production activities relating to vegetable materials used for plaiting, Christmas trees, fruit trees, vines and ornamental nursery trees are excluded, whereas they are covered in the Labour Force Survey. In some cases, the productivity could therefore be underestimated.

Unit of measurement Thousands euro per people employed Source Eurostat - Economic Accounts for Forestry & Labour force Survey

Baseline indicator objective related 15 - Gross fixed capital formation in forestry

Measurement of the indicator

Gross fixed capital formation in forestry

Definition of the indicator

Gross fixed capital formation in forestry: the investments in assets which are used repeatedly or continuously over a number of years to produce goods in forestry.

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It is measured in absolute terms. Forestry sector corresponds to division 02 in NACE rev. 1(Forestry, logging and related activities). In Economic Accounts for Forestry, production activities relating to vegetable materials used for plaiting, Christmas trees, fruit trees, vines and ornamental nursery trees are excluded,.

Unit of measurement Mio euro Source Eurostat - Economic Accounts for Forestry

Baseline indicator objective related 16 - Number of semi-subsistence farms in New Member States

Measurement of the indicator

Number of farms smaller than 1 Economic Size Unit in New Member States

Definition of the indicator

Semi-subsistence farms are farms that do not sell (parts of their) product on the market. In general, these will be the farms that are smaller than 1 Economic Size Unit (ESU). In order to get a view on the size and importance of these farms, the absolute number and the share of semi-subsistence farms need to be collected (number of semi-subsistence farms in NMS (< 1 ESU) and Number of semi-subsistence farms in NMS (< 1 ESU) / total number of farms).

Unit of measurement Number %

Source Eurostat – Farm Structure Survey 2003

AXIS 2 IMPROVING THE ENVIRONMENT AND THE COUNTRYSIDE

THROUGH LAND MANAGEMENT Baseline indicator objective related 17 – Biodiversity: Population of farmland birds

Measurement of the indicator

Trends of index of population of farmland birds

Definition of the indicator

The farmland bird indicator consists in an aggregated index of population trend estimates of a segroup of 19 breeding bird species dependent on agricultural land for nesting or feeding. Assuming alink between the selected bird species and the farmland habitat, a negative trend signals that theenvironment is becoming less favourable to birds. The following farmland bird species are included: Alauda arvensis, Burhinus oedicnemus, Carduelis carduelis, Columba palumbus, Emberiza citrinella, Falco tinnunculus, Galerida cristata, Hirundo rustica, Lanius collurio, Lanius senator, Limosa limosa, Miliaria calandra, Motacilla flava, Passer montanus, Saxicola rubetra, Streptopelia turtur, Sturnus vulgaris, Sylvia communis, Vanellus vanellus. In 2005 the list of species covered was modified to be more specific to farmland. Indices are calculated for each species independently and are weighted equally when combined in the aggregate index using a geometric mean. Aggregated EU indices are calculated using population-dependent weighting factors for each country and species The indices are compiled by Statistics Netherlands in conjunction with the Pan-European Common Bird Monitoring scheme (PECBM: a joint project of the European Bird Census Council, the Royal Society for the Protection of Birds, BirdLife International, and Statistics Netherlands). The population counts are carried out by a network of volunteer ornithologists coordinated within national schemes It is indexed on the year 2000, this base year having been selected so as to provide the maximum geographic coverage.

Unit of measurement Index (2000 = 100) Source Statistics Netherlands in conjunction with the Pan-European Common Bird Monitoring

scheme (available on Eurostat Website)

Baseline indicator objective related 18 – Biodiversity: High Nature Value farmland and forestry

Measurement of the indicator

UAA of High Nature Value farmland

Definition of the High Nature Value farmland and forestry is associated with high biodiversity. The

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indicator concept of high nature value does not only cover defined areas but also high nature value features (e.g. buffer strips etc.) introduced into areas that as such would not fall under the definition of high nature value. In addition it refers to agricultural and forestry management systems being a driver for high nature value. It should be noted that the high nature value indicator developed on European level so far does cover only parts of this concept, especially small scale features and forestry are not included. The HNV farmland indicator developed so far (cf. Andersen et al. (2003)) distinguishes the following types of high nature value farmland:

• Type 1: Farmland with a high proportion of semi-natural vegetation. • Type 2: Farmland dominated by low intensity agriculture or a mosaic of semi-

natural and cultivated land and small-scale features. • Type 3: Farmland supporting rare species or a high proportion of European or

World population. On the basis of land cover data (CORINE database) and agronomic farm level data (in particular FADN), the indicator gives an indication for type 1 an 2 high nature value farmland but not necessarily for type 3. For New Member States, HNV farmland areas consist in semi-natural grassland, being defined according to their dependence upon continuing agricultural management in order to persist. Alpine pastures above 1 900 m that can be maintained without any human intervention are not included.

Unit of measurement Ha of UAA Source European Environment Agency (IRENA 26)

Baseline indicator objective related 19 – Biodiversity: tree species composition

Measurement of the indicator

Area of forest and other wooded land classified by number of tree species occurring and by forest type.

Definition of the indicator

Multi-species forest and other wooded land (FOWL) are usually richer in biodiversity than mono-species forest and other wooded land. However, it has to be considered that some natural forest ecosystems have only one or two tree species, e.g. natural sub-alpine spruce stands. This indicator corresponds to the MCPFE (Ministerial Conference on the Protection of Forests in Europe) indicator 4.1.

Subdivision The categories of species groups considered are: • Coniferous: predominantly coniferous FOWL as percentage of total FOWL • Broadleaved: predominantly broadleaved FOWL as percentage of total FOWL • Mixed: mixed FOWL as percentage of total FOWL

Unit of measurement % FOWL Source Temperate and Boreal Forest Resources Assessment 2000 (TBFRA 2000) –

UNECE/FAO An update can be found in “State of Europe’s Forests 2003 – The MCPFE report on sustainable Forest management in Europe”

Baseline indicator objective related 20 - Water quality: Gross Nutrient Balances

Measurement of the indicator

Surplus of nutrient in kg/ha.

Definition of the indicator

Nutrient or mineral balances establish links between agricultural nutrient use, changes in environmental quality, and the sustainable use of soil nutrients. The gross nutrient balances provide an indication of potential water pollution and identifies those agricultural areas and systems with very high nitrogen or phosphorus loadings. As the indicator integrates the most important agricultural parameters with regard to potential nitrogen or phosphorus surplus, it is currently the best available approximation of agricultural pressures on water quality The gross nitrogen balance provides an estimate of the potential surplus of nitrogen on agricultural land (kg/ha), based on statistical information on the amounts of mineral fertiliser applied, organic fertiliser production, nitrogen fixed in the soil, atmospheric deposition of nitrogen compounds, seeds and planting material, and amounts of harvested crops and forage.

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The data is collected in accordance with the OECD/Eurostat national nitrogen balance handbook. For the gross phosphorus balance a comparable methodology applies.

Sub-indicators This indicator is broken down according to the nutrient: • Gross nitrogen balance • Gross phosphorus balance

Unit of measurement kg/ha Source Environmental indicators for agriculture, volume 4, OECD, 2006

Baseline indicator objective related 21 – Water quality: Pollution by nitrates and pesticides

Measurement of the indicator

Annual trends in the concentrations

Definition of the indicator

The trend in concentration of nitrate and pesticides loads in ground and surface waters is an indicatothe impact of agricultural activities on water quality. The trend is taken instead of concentration in year n, in order to overcome the possible differences omeasurement that would not allow comparing easily the different measures. It is calculated over a peof ten years. The trend is evaluated using a 3 years rolling average with an index (1992-1994 = 100).

Sub-indicators This indicator of pollution is broken down according to the type of pollutant, and type of water body, which leads to the following sub-indicators:

• annual trends in the concentration of nitrates in surface water • annual trends in the concentration of nitrates in ground water • annual trends in the concentration of pesticides in surface water • annual trends in the concentration of pesticides in ground water

Unit of measurement Index (1992-1994 = 100) Trends in concentration of total oxidised nitrogen (converted in NO3 mg/L) Trends in concentration of pesticides (µg/L)

Source European Environment Agency (EUROWATERNET)

Baseline indicator objective related 22 - Soil: Areas at risk of soil erosion

Measurement of the indicator

Areas at risk of soil erosion

Definition of the indicator

Sustainable management contributes to less soil erosion. This effect will be measured through estimates of soil loss in Tons / ha / year. The model used: Pan-European Soil Erosion Risk Assessment model – Pesera project (JRC-Ispra) provides results for water erosion only.

Unit of measurement Tons/ha/year, estimate Source JRC Ispra – Pesera project

Baseline indicator objective related 23 - Soil: Organic farming

Measurement of the indicator

Utilised Agricultural Area under organic farming

Definition of the indicator

Areas under organic farming are an important indicator for the extent to which agricultural land is sustainable managed. Organic farming is defined as: farming not using fertilizers of synthetic pesticides. For the purpose of sustainable management of agricultural land, organic farming is not restricted to the area under Regulation (EEC) No 2092/91 (certified organic and in-conversation) but also covers equivalent national rules for organic production (as in Farm Structure Survey for instance - Commission Decision 2000/115/EC).

Unit of measurement Ha of UAA Source At national level:

Organic Centre Wales - Institute of Rural Sciences, University of Wales, Aberystwyth EU-CEE-OFP research project

At regional level: DG AGRI based on:

• Organic Centre Wales - Institute of Rural Sciences, University of Wales, Aberystwyth - EU-CEE-OFP research project

• Eurostat – Farm Structure Survey 2003

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Baseline indicator objective related

24 - Climate change: Production of renewable energy from agriculture and forestry

Measurement of the indicator

Production of renewable energy from agriculture and forestry

Definition of the indicator

For this indicator, due to data availability, production of renewable energy from agriculture covers bio• Biodiesel from oilseeds crops • Ethanol from starch/sugar crops

Therefore it does not cover: • Energy from short rotation forestry • Energy from agricultural biogas (livestock manure) • Energy from cereal straw

Production of renewable energy from forestry covers:

• Purpose-grown energy crops (poplar, willow, etc.) • Woody material generated by an industrial process (wood/paper industry in particular) or

provided directly by forestry and agriculture (firewood, wood chips, bark, sawdust, shavings, chips, black liquor etc.)

• Wastes such as straw, rice husks, nut shells, poultry litter, crushed grape dregs etc. Conversion coefficients from ktons to ktoe (EEA - IRENA 27): Bioethanol: 0.800 kg/L – 23.4 MJ/L – 41868 kToe/GJ Biodiesel: 0.875 kg/L – 33.0 MJ/L – 41868 kToe/GJ

Sub-indicators This indicator is broken down according to the sector: • Production of renewable energy from Agriculture • Production of renewable energy from Forestry

Unit of measurement Renewable energy from agriculture: KToe (1000 tons of oil equivalent) Renewable energy from forestry: KToe (1000 tons of oil equivalent)

Source Renewable energy from agriculture: DG AGRI based on:

• EurObservER 2005 – Production of biodiesel and bioethanol in KTons • European Environment Agency

IRENA 27 : Production of renewable energy from agriculture (for the conversion coefficients from ktons to ktoe) Renewable energy from forestry: Eurostat – Energy Statistics

Baseline indicator objective related 25 - Climate change: UAA devoted to renewable energy

Measurement of the indicator

Utilised Agriculture Area devoted to energy and biomass crops

Definition of the indicator

The agricultural contribution to the mitigation of climate change in terms of surface is appreciated UAA devoted to renewable energy. Due to data availability, UAA devoted to renewable energy is limited to:

• areas of non-food set aside for energy generation (Reg (EC) 1251/1999) • areas benefiting from the “Energy crop premium” (Reg (EC) 1782/2003)

and even doES not comprise • other areas devoted to biodiesel, bioethanol or short rotation coppice, without

specific regime. The latter can be estimated by balances, or derived from the production of bio fuel. This subdivisimportant as new Members States opting for the Single Area Payment Scheme (currently all ofexcept MT & SI) are not obliged to set-aside. This transitional system ends in 2008. If availabledevoted to the production of short rotation coppice should also be taken into account.

Unit of measurement Ha of UAA Source DG AGRI

Baseline indicator objective related 26 - Climate change: GHG emissions from agriculture

Measurement of the indicator

Agricultural emissions of greenhouse gases

Definition of the indicator

Greenhouse gases as a whole include CO2, CH4, N2O and fluorinated gases (HFCs, PFCs and SF6). According to the United Nations Framework Convention on Climate Change (UNFCCC) the following are sources of greenhouse gases from agriculture: i) enteric fermentation (CH4);

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ii) manure management (CH4, N2O); iii) rice cultivation (CH4); iv) agricultural soil management (CO2 CH4, N2O); v) prescribed burning of savannahs (CH4, N2O); and vi) field burning of agricultural residues (CH4, N2O). Emissions from land use change and forestry are excluded. Carbon dioxide emissions do not include emissions from fossil fuel combustion sources that arise from agricultural-related processes such as transport, greenhouse heating and grain drying. Such sources are inventoried in IPCC under the Energy section, but the individual contribution of agriculture is not inventoried. The primary source of data is the European Environment Agency. It compiles data received from the 25 Member States annual submission of data to the Secretariat of the United Nations Framework Convention on Climate Change (UNFCCC). Member States apply the 1996 IPCC guidelines to estimate the emissions and, they use the common reporting format (CRF) for submission of their inventories. Data collection via the EIONET (European Information and Observation Network) is being extended to include Candidate Countries which are becoming members of the European Environment Agency network.

Unit of measurement 1000 t of CO2 equivalent Source Eurostat

AXIS 3 IMPROVING THE QUALITY OF LIFE IN RURAL AREAS AND

ENCOURAGING DIVERSIFICATION OF ECONOMIC ACTIVITY Baseline indicator objective related 27 – Farmers with other gainful activity

Measurement of the indicator

Sole holders-managers with other gainful activity as percentage of total number of farm holders (sole holders-managers)

Definition of the indicator

Besides their work on the farm, the holders may carry out other gainful activities. This indicator measures the extent to which farmers have complemented their income by gainful activities other than farming. This is every activity other than activity relating to farm work, carried out for remuneration (salary, wages, profits or other payment, including payment in kind, according to the service rendered). This includes non-agricultural activities carried out on the holding itself (camping sites, accommodation for tourists, etc.) or on another agricultural holding as well as activity in a non-agricultural enterprise. The numerator includes all sole-holder managers with other - either subsidiary or major - gainful activities. The denominator consists in the sum of sole-holders-managers having answered to that question (i.e. Farmers with other (subsidiary + major) gainful activities + farmers with no other gainful activity)

Unit of measurement % Source Eurostat – Farm Structure Survey 2003

Baseline indicator objective related 28 – Employment development of non-agricultural sector

Measurement of the indicator

Employment in secondary and tertiary sectors

Definition of the indicator

Diversification of the economy is expressed in the number of people employed outside the agricultural sector. In Economic Accounts, total employment (ESA 1995, 11.11) covers all persons – both employees and the self-employed - in a specific region. In the European Union Labour Force Survey, employment covers all persons aged 15 year and over, having work for pay or profit regardless the number of hours per week Due to data availability, non-agricultural sector is defined as the sum of secondary and tertiary sectors. Agricultural sector is therefore implicitly defined as the primary sector (agriculture, hunting, forestry and fisheries).

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It should be noticed that: • in the Economic Accounts:

o at NUTS 2 level, data relating exclusively to agriculture, hunting and forestry sector (corresponding to division 01 and 02 or branch A of NACE rev. 1.1) are available,

o at NUTS 3 level, data also cover division 05 or branch B of NACE rev. 1.1 (fishing).

• in Labour Force Survey, primary sector corresponds to divisions 01, 02 & 05 or branch A_B of NACE rev. 1.1, and therefore always include fisheries.

Secondary sector covers divisions 10 to 45 or branches C to F of NACE rev. 1.1. Tertiary sector covers divisions 50 to 95 or branches G to P of NACE rev.1.1.

Unit of measurement Thousands of people employed Source Eurostat – Economic Accounts(ESA95) / Labour Force Survey

Baseline indicator objective related 29 – Economic development of non-agricultural sector

Measurement of the indicator

GVA in secondary and tertiary sectors

Definition of the indicator

This indicator measures the gross value added (GVA) outside the agricultural sector in a region. GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. Due to data availability, non-agricultural sector is defined as the sum of secondary and tertiary sectors. Agricultural sector is therefore implicitly defined as the primary sector (agriculture, hunting, forestry and fisheries). It should be noticed that: • in the Economic Accounts:

o at NUTS 2 level, data relating exclusively to agriculture, hunting and forestry sector (corresponding to division 01 and 02 or branch A of NACE rev. 1.1) are available,

o at NUTS 3 level, data also cover division 05 or branch B of NACE rev. 1.1 (fishing).

• in Labour Force Survey, primary sector corresponds to divisions 01, 02 & 05 or branch A_B of NACE rev. 1.1, and therefore always include fisheries.

Secondary sector covers divisions 10 to 45 or branches C to F of NACE rev. 1.1. Tertiary sector covers divisions 50 to 95 or branches G to P of NACE rev.1.1.

Unit of measurement Mio euro Source Eurostat – Economic Accounts(ESA95)

Baseline indicator objective related 30 – Self-employment development

Measurement of the indicator

Self-employed persons

Definition of the indicator

Self-employed persons are persons who work in their own business, farm or professional practice for the purpose of earning a profit. This indicator is used as a proxy to measure entrepreneurship.

Unit of measurement Thousands of people self-employed Source Eurostat – Labour Force Survey

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Baseline indicator objective related 31 - Tourism infrastructure in rural areas

Measurement of the indicator Total number of bed places in all forms of tourist accommodation

Definition of the indicator

The tourism infrastructure in rural areas consists in several elements. For this indicator the number of bed places is taken as an indication for the tourism infrastructure (capacity). The number of bed places is calculated over hotels and similar establishments, tourist campsites, holiday dwellings and other collective accommodations. When the number of bed places in one category of establishment was missing, the sum of available data is provided. The number of bed places in an establishment or dwelling is determined by the number of persons who can stay overnight in the beds set up in the establishment (dwelling), ignoring any extra beds that may be set up by customer request. The term bed place applies to a single bed, double bed being counted as two bed places. The unit serves to measure the capacity of any type of accommodation. A bed place is also a place on a pitch or in a boat on a mooring to accommodate one person. One camping pitch should equal four bed places if the actual number of bed places is not known. Definitions, size thresholds, etc. can be found in Council Directive on Tourism statistics 95/97/EC

Unit of measurement Number of bed places Source Eurostat

Baseline indicator objective related 32 - Internet take-up in rural areas

Measurement of the indicator

Persons having subscribed to DSL internet as a percentage of total population

Definition of the indicator

DSL: Digital Subscriber Line A 2004 Commission Communication {COM(2004) 369: ”Connecting Europe at High Speed : National Broadband Strategies"} referred to broadband as "a wide range of technologies that have been developed to support the delivery of innovative interactive services, equipped with always-on functionality, providing broad bandwidth capacity that evolves over time, and allowing the simultaneous use of both voice and data services." Those data are collected through a survey of telecom operators. As telecom operators are not able to make the difference between residential and business use, broadband data are typically presented in terms of population. The same methodology is used by the Communication Committee (which is made of national regulatory authorities and provides the official data on broadband penetration also for the structural indicators) and by for example the OECD - all broadband penetration rates are expressed in terms of population.

Unit of measurement % Source DG INFSO

The file is from Idate, a consultant that made a study for DG INFSO on development of broadband access and providing the breakdown rural/suburban/urban areas. A presentation of results is available in the report “Digital divide forum report: broadband access and public support in underserved areas”, of July 2005

Notes Caution: this breakdown rural / suburban / urban areas differs from the OECD definition:

• Urban areas: areas with population density > 500 inhabitants /km2 • Suburban areas: areas with population density > 100 and < 500

inhabitants /km2 • Rural areas: areas with population density < 100 inhabitants /km2

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Baseline indicator objective related 33 – Development of services sector

Measurement of the indicator GVA in services as percentage of total GVA

Definition of the indicator

This indicator measures the share of gross value added (GVA) in the services sector in a region. GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. Services are divisions 50 to 95 or branches G to P of NACE rev.1.1. The total corresponds to the sum of divisions 01 to 95 or branches from A to P of NACE rev.1.1.

Unit of measurement % Source Eurostat – Economic Accounts(ESA95)

Baseline indicator objective related 34 - Net migration

Measurement of the indicator

Annual crude rate of net migration

Definition of the indicator

The crude rate of net migration is the ratio of the net migration during the year to the average population in that year. Immigration or emigration flows being either unknown or not sufficiently precise, the crude rate of net migration is calculated as equal to the difference between the crude rate of population increase and the crude rate of natural increase (that is, net migration is considered as the part of population change not attributable to births and deaths). The value is expressed per 1000 inhabitants. • The crude rate of population increase is the ratio of the total population change

during the year to the average population of the area in question in that year. The value is expressed per 1000 inhabitants.

• The crude rate of natural increase is the ratio of natural population increase (births

– deaths) over a period to the average population of the area in question during that period. The value is expressed per 1000 inhabitants.

Crude rate of net migration(y) = [(population(1/01/y+1) – population(1/01/y)) – (births(y) - deaths(y))] / average population(y)

Unit of measurement Rate per 1000 inhabitants Source At national level:

Eurostat: Crude rate of net migration including corrections At regional level calculations based on Eurostat Demographic Statistics

Baseline indicator objective related 35 – Life-long learning in rural areas

Measurement of the indicator

% of adults (25-64 y. o.) participating in education and training

Definition of the indicator

Life-long learning indicator refers to persons aged 25 to 64 who answered they received education or training in the four weeks preceding the survey (numerator). The denominator consists of the total population of the same age group, excluding “no answers” to the question ‘participation to education and training’ (i.e. sum of ‘Adults participating’ and ‘Adults non participating’ in life-long learning). Both the numerator and the denominator come from the European Union Labour Force Survey. Life long training refers to all education or vocational training whether or not relevant to the respondent’s current or future employment. Data include initial education, additional education, continuing or additional training, training in enterprises, apprenticeships, on-the-job training, seminars and workshops, distance education, evening classes, self-learning, etc. They also include courses followed out of personal interest only and may cover all forms of learning, and training in subjects such as languages, computer studies, business studies, art and culture, health and medicine.

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From 2004, this variable is derived from two variables ‘participation in regular education’ and ‘participation in other taught activities’. Self learning activities are no longer covered. A reference period of last four weeks preceding the survey has been chosen for the questions on participation to the education in order to avoid distortion of information due to recall problems.

Unit of measurement % Source Eurostat - Labour Force Survey

AXIS 4 LEADER Baseline indicator objective related 36 – Development of Local Action Groups

Measurement of the indicator

Share of population covered by Local Action Groups in the framework of the Leader program

Definition of the indicator

Local Action Groups are an important factor for initiating rural development. This indicator provides an idea of the number of people in rural areas that live in an area where a Local Action Group is active.

Unit of measurement % Source DG AGRI

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Context related Baseline Indicators

HORIZONTAL

Baseline indicator for context 1 - Designation of rural areas

Measurement of the indicator Designation of rural areas according to the OECD methodology.

Definition of the indicator

The OECD methodology is based on population density (OECD, Creating rural indicators for shaping territorial policy, Paris, 1994). It is based on a two-step approach : First, the OECD identifies local areas (municipalities) as rural if the population density is below 150 inhabitants per square kilometre. Then, at regional level (NUTS 3 or NUTS 2), the OECD distinguishes:

• Predominantly Rural regions (PR) : more than 50% of the population is living in rural communes (with less than 150 inhabitants / km2)

• Intermediate Regions (IR) : 15% to 50% of the population of the region is living in rural local units

• Predominantly Urban regions (PU) : less than 15% of the population of the region is living in rural local units.

As a result, the regions (NUTS 3 or NUTS 2) can be ‘flagged’ with their category: Predominantly Rural, Intermediate, Predominantly Urban. Characterisation of the rural character at regional level, where most of the statistics are available, allows drawing easily a picture of the different types of areas at national level. As for the first step, the method requires information on population and areas at local level, the characterisation can only made with a long periodicity (in general every 10 years when a population census is made). The OECD methodology is the only definition of rural areas internationally recognised. However, the results of this methodology are sometimes considered as imperfectly reflecting the rural character of areas, particularly in densely populated regions. The methodology is therefore sometimes adapted or replaced by another approach.

Source Eurostat GISCO - SIRE DATABASE SABE database for the administrative boundaries (Copyright EuroGeographics) Calculation : AGRI-G2

Baseline indicator for context 2 - Importance of rural areas

Measurement of the indicator

This indicator consists in 4 sub-indicators :

• % territory in rural areas

• % population in rural areas

• % Gross Value Added in rural areas

• % employment in rural areas Definition of the indicator

This context indicator consists in several sub-indicators giving the relative importance of rural areas. The following aspects are taken into account:

• Rural area as a percentage of the total area

• People living in rural areas as a percentage of the total population

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• GVA in rural areas as a percentage of the total GVA in a region/country

• Employment in rural areas as a percentage of the total employment in a

region/country Sub-indicators % Territory in rural areas

% Population in rural areas % GVA in rural areas % Employment in rural areas

Subdivision For each sub-indicator the breakdown according to the rural/urban character used for context related baseline indicator n°1 "Designation of rural areas" should be provided. With OECD methodology, the breakdown is :

• % in the ‘predominantly rural’ areas • % in the ‘intermediate region’ areas • % in the ‘predominantly urban’ areas

Unit of measurement % Source Rurality according to the OECD definition : DG AGRI

Other variables: Eurostat

AXIS 1 IMPROVING THE COMPETITIVENESS OF THE AGRICULTURAL

AND FORESTRY SECTOR Baseline indicator for context 3 – Agricultural land use

Measurement of the indicator % Utilised Agricultural Area in arable area / permanent grass / permanent crops

Definition of the indicator

The land use of interest is arable crops, permanent pastures (including meadows) and permanent crops. According to the definition applied in Farm Structure Surveys of Eurostat (Reg. 571/88 and Commission Decision 2000/115), the Utilised Agricultural Area (UAA) is composed of :

• D. Arable crops • E. Kitchen gardens • F. Permanent pastures and meadows • G. Permanent crops

When using this source the small part of UAA dedicated to kitchen gardens is not reported; therefore the shares of arable crops, permanent pastures and permanent crops can not sum to 100%.

Subdivision The categories of land use are : • Arable crops • Permanent pastures • Permanent crops

Unit of measurement % UAA Source Eurostat – Farm Structure Survey 2003

Baseline indicator for context 4 - Farm structure

Measurement of the indicator

This indicator consists in 5 sub-indicators : • Number of farms • Utilised agricultural area • Average area farm size and distribution • Average economic farm size and distribution • Labour force

Definition of the indicator

The farm structure provides useful information on the environment in which policy is implemented. Different information can be used to describe the farm structure : • The number of farms • The utilised agricultural area • The labour force • The type of production as the value added of the area, and then the economic size,

depends on the production The absolute and average values as well as the distribution of the factors between farms are of interest. In Farm Structure Surveys of Eurostat, the Labour Force is measured in Annual Work

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Units (AWU). In Farm Structure Surveys of Eurostat, the economic size of a farm is measured in European Size Units (ESU), based on the definition of the Community typology for agricultural holdings (Commission decision 85/377/EEC).

Sub-indicators • Number of farms • Utilised agricultural area • Average area farm size • Distribution of farms according to average area farm size in classes: less than 5 ha

UAA, from 5 ha UAA to less than 50 ha UAA, 50 ha UAA and more. • Average economic farm size • Distribution of farms according to average economic farm size in classes: less than

2 ESU, from 2 ESU to less than 100 ESU, 100 ESU and more. • Labour force

Unit of measurement Farms : number Utilised agricultural area and area farm size : hectares (ha) Economic farm size : European Size Units (ESU) Labour force : Annual Work Units (AWU) Distributions of farms according to area and economic farm size classes : %

Source Eurostat – Farm Structure Survey 2003

Baseline indicator for context 5 - Forestry structure

Measurement of the indicator

This indicator consists in 3 sub-indicators : Area of forest available for wood supply (FAWS) Ownership (% area of FAWS under "eligible" ownership) Average size of private holding (FOWL)

Definition of the indicator

Forest available for wood supply (FAWS) is defined as “Forest where any legal, economic, or specific environmental restrictions do not have a significant impact on the supply of wood, which includes: areas where, although there are no such restrictions, harvesting is not taking place, for example areas included in long-term utilization plans or intentions.” Public institutions other than State cover in “Forest/other wooded land belonging to cities, municipalities, villages and communes. It includes any publicly owned forest and other wooded land not classified as being "in State ownership"; State ownership meaning owned by national, state and regional governments, or by government-owned corporations; Crown forest and other wooded land.” Private ownership covers “Forest/other wooded land owned by individuals, families, co-operatives and corporations which may be engaged in agriculture or other occupations as well as forestry; private forest enterprises and industries; private corporations and

An Annual Work Unit (AWU) is equivalent of the full-time employment. 1 AWU corresponds to the work performed by a person undertaking fulltime agricultural work on the holding over a 12 month period. The yearly working time of such worker is 1800 hours (225 working days of 8 hours per day), unless national provisions governing contracts of employment are specified. Countries where the yearly working time corresponding to 1 AWU follows national provisions:

country DE EL ES FR CY LV LT LU AT

hours 1760 2200 1824 1824 2080 1840 2032 2200 2000

Economic size of an agricultural holding in ESU (European Size Unit): it represents the potential gross value added of the holding. It is obtained by multiplying, for each enterprise on the farm, the relevant gross margin (calculated as a multiannual average at regional level and named standard gross margin) by the area (crops) or the livestock (animal productions). The total standard gross margin of the holding, expressed in euros, is then converted in European Standard Unit (1 ESU = 1,200 € SGM) and evaluates its economic size.

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other institutions (religious and educational institutions, pension and investment funds, nature conservation societies, etc).” Forest and Other Wooded Land (FOWL) consists of : Forest defined as “Land with tree crown cover (or equivalent stocking level) of more than 10 percent and area of more than 0.5 ha. The trees should be able to reach a minimum height of 5 m at maturity in situ. May consist either of closed forest formations where trees of various storeys and undergrowth cover a high proportion of the ground; or of open forest formations with a continuous vegetation cover in which tree crown cover exceeds 10 percent. Young natural stands and all plantations established for forestry purposes which have yet to reach a crown density of 10 percent or tree height of 5m are included under forest, as are areas normally forming part of the forest area which are temporarily unstocked as a result of human intervention or natural causes but which are expected to revert to forest.” Other wooded land defined as “Land either with a tree crown cover (or equivalent stocking level) of 5-10 percent of trees able to reach a height of 5 m at maturity in situ; or a crown cover (or equivalent stocking level) of more than 10 percent of trees not able to reach a height of 5 m at maturity in situ (e.g. dwarf or stunted trees) and shrub or bush cover. It excludes areas having the tree, shrub or bush cover specified above but of less than 0.5 ha and width of 20 m, which are classed under "other land"; land predominantly used for agricultural practices.” (TBFRA 2000 definitions)

Sub-indicators Area of forest available for wood supply (FAWS) Ownership

This indicator has 2 subdivisions: - % FAWS owned by other public institutions (other than State) - % FAWS private - owned

Average size of the private holding of Forest and Other Wooded Land Unit of measurement Area of FAWS : hectares (ha)

Ownership : % Average size of the private holding of FOWL : hectares (ha)

Source Temperate and Boreal Forest Resources Assessment 2000 (TBFRA 2000) – UNECE/FAO (available on Eurostat website)

Baseline indicator for context 6 – Forest productivity

Measurement of the indicator Average net annual volume increment (FAWS)

Definition of the indicator

Forest productivity is measured by the average net annual increment, ie “the average annual volume over the given reference period of gross increment less that of natural losses on all trees to a minimum diameter of 0 cm.” Forest available for wood supply (FAWS) is defined as “Forest where any legal, economic, or specific environmental restrictions do not have a significant impact on the supply of wood, which includes: areas where, although there are no such restrictions, harvesting is not taking place, for example areas included in long-term utilization plans or intentions”.

Unit of measurement 1000m3 overbark / year / ha of FAWS Source Temperate and Boreal Forest Resources Assessment 2000 (TBFRA 2000) –

UNECE/FAO (available on Eurostat website)

AXIS 2 IMPROVING THE ENVIRONMENT AND THE COUNTRYSIDE

THROUGH LAND MANAGEMENT Baseline indicator for context 7 - Land cover

Measurement of the indicator % area in agricultural / forest / natural / artificial classes

Definition of the indicator

Land cover is the actual distribution of forests, water, desert, grassland and other physical features of the land, including those created by human activities. Land use, on the other hand, characterises the human use of a land cover type.

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The data source used is CORINE Land Cover. CORINE Land Cover databases are obtained through computer assisted interpretation of satellite images acquired in 1990 and 2000, offering the possibility to describe the geographic distribution of specific land cover changes in a geo-referenced approach. CORINE land cover (CLC) describes land cover (and partly land use) with a three-level nomenclature of 44 classes. For the purpose of this indicator, they have been grouped so as to get the four pre-listed classes. CLC was elaborated based on the visual interpretation of satellite images (Spot, Landsat TM and MSS). Ancillary data (aerial photographs, topographic or vegetation maps, statistics, local knowledge) is used to refine interpretation and assign classes. The CLC database is based on a standard production methodology characterised by the following elements: Mapping scale is 1:100 000. Mapping accuracy is 100 m. The minimum mapping unit for the inventory is 25 ha for areas, and 100 m for linear elements. LEVEL 1 LEVEL 2 Reclassification 1.Artificial surfaces 1.1 Urban fabric Artificial 1.2 Industrial, commercial and transport units Artificial 1.3 Mine, dump and construction sites Artificial 1.4 Artificial, non-agricultural vegetated areas Artificial 2.Agricultural areas 2.1 Arable land Agricultural 2.2 Permanent crops Agricultural 2.3 Pastures Agricultural 2.4 Heterogeneous agricultural areas Agricultural 3.Forest and semi-natural areas 3.1 Forests Forest 3.2 Scrub and/or herbaceous vegetation association Natural 3.3 Open spaces with little or no vegetation Natural 4.Wetlands 4.1 Inland wetlands Natural 4.2 Maritime wetlands Sea 5.Water bodies 5.1 Inland waters Inland Water 5.2 Marine waters Sea It should be noted that other sources may give significantly different shares, but CORINE land cover (CLC) has a uniform methodology and nomenclature across Europe. CLC2000 data are especially highly consistent in this context. Moreover, it is the only dataset complete for EU27. As coverage by water (inlands or sea) is not reported, the total of the subdivisions can not sum to 100%

Subdivisions The categories of land cover are : • Agricultural area • Forest area • Natural area • Artificial

Unit of measurement % Source CORINE Land Cover 2000 (CLC 2000)

Baseline indicator for context 8 – Less Favoured Areas

Measurement of the indicator % UAA in non LFA / LFA mountain / other LFA / LFA with specific handicaps

Definition of the indicator

The areas eligible for the support for less favoured areas are defined in Council regulation (EC) No 1698/2005 : • Mountain areas or regarded as (areas north of the 62nd parallel and certain

adjacent areas) : Art. 50.2 • Areas affected by significant natural handicaps : Art. 50.3 (a) • Areas affected by specific handicaps : Art. 50. 3 (b) There is a political agreement to revise the designation of the zone to be operational in 2010. In the meantime, the designation based on Council regulation (EC) 1257/1999 is still in force: • Mountain areas or regarded as (areas north of the 62nd parallel and certain

adjacent areas) : Art. 18 • Other less-favoured areas : Art. 19 • Areas affected by specific handicaps : Art. 20 The collection of the information according to the definition is sometimes difficult, particularly at regional level and for the areas affected by specific handicaps. The

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information is not systematically reported in Rural Development programs and the only survey collecting this information at community level is the Farm Structure Survey. Part of the UAA may not be covered by this survey (very small farms and common land) and there is no distinction between areas with significant or with specific handicaps.

Subdivision The categories of areas are : • Non Less Favoured Areas • Less Favoured Areas Mountain • other Less Favoured Areas / Less Favoured Areas with significant handicaps • Areas with specific handicaps

Unit of measurement % UAA Source In Council document 7971/05 of 15.04.05 : “Report of working group Agricultural

structures and Rural Development to the Special Committee for Agriculture” Based on communications of Member States to the European Commission during the discussion on Regulation (EC) No 1698/2005 or Eurostat - Farm Structure Survey

Baseline indicator for context 9 - Areas of extensive agriculture

Measurement of the indicator

This indicator consists in 2 sub-indicators : • % Utilised Agricultural Area for extensive arable crops • % Utilised Agricultural Area for extensive grazing

Definition of the indicator

This indicator reflects more the natural conditions than the actual current intensity of production. Extensive agriculture is defined as : • For area under arable crops production (except forage crops), when the regional

yield for cereals (excluding rice) is less than 60% of the EU-27 average, • For grazing livestock production (cattle, sheep & goats), when the stocking density

does not exceed 1 Livestock Unit per hectare of forage area (forage crops, permanent pastures and meadows).

Permanent crops (olive trees, vineyards, fruit trees, nuts, etc) are not covered as it was, at this time, not possible to find a satisfactory measurement of extensive production for these enterprises. Cereal yield is a 3 years average. The conversion of animals in livestock unit is made using the coefficients of Art. 131 of Council regulation (EC) 1782/2003 for support for extensive grazing production (i.e. not the coefficients used by Eurostat). The number of cattle less than 6 months is estimated by taken into account only 50% of animals less than 1 year. When possible forage area should also cover common land, a part of the Utilised Agricultural Area of holdings not recorded in Farm Structure Surveys. It could be made using the information on ”grass” from land use statistics. The forage crops are defined as characteristic D18 (forage plants) of Farm Structure Surveys (fodder roots and brassicas (D/12) could be added). The forage area does not cover coarse grains (except fodder maize). The evaluation of the extensive character of agriculture should be made at the most detailed geographical level possible. The evaluation of the extensive character of agriculture at Member State level is made by aggregating the geographical units.

Sub-indicators % UAA for extensive arable crops % UAA for extensive grazing

Unit of measurement % UAA Source Eurostat - Farm Structure Survey

MT : communication to the European Commission during the discussion on Regulation (EC) No 1698/2005 (LFA redesignation)

Baseline indicator for context 10 – Natura 2000 area

Measurement of the indicator

This indicator consists in 3 sub-indicators : % of territory under Natura 2000 % UAA under Natura 2000 % forest area under Natura 2000

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Definition of the indicator

This indicator provides information on the preservation the natural environment and landscape and the protection and improvement of natural resources. Under Natura 2000 a network of areas is designated to conserve natural habitats and species of wildlife which are rare, endangered or vulnerable in the European Community. The Natura 2000 network consists of sites :

• designated by Member States as special protection areas (SPA) under the Birds Directive (Council Directive 79/409/EEC of 2 April 1979),

• those proposed by Member States as proposed sites of Community interest (pSCI) and later designated as special areas of conservation (SAC) under the Habitats Directive (Council Directive 92/43/EEC of 21 May 1992).

For the Special Protection Areas designated under the Birds Directive, the responsibility for designation lies entirely with the Member States. The Commission (DG ENV) has to be informed when new areas are designated or existing areas are modified. The information received on new or revised areas is passed on to the European Topic Centre on Nature Protection and Biodiversity (ETC_NPB), who regularly produces consolidated versions of the SPA database for the whole EU. For the now proposed Sites of Community Importance, which are now Sites of Community Importance and will in the future be Special Conservation Areas under the Habitats Directive, there is a three-stage process that starts with the proposal by Member States. The proposals are irregularly transferred to the Commission who evaluates with the ETC_NPB and independent experts whether or not the proposed sites ensure sufficient protection and, on the basis of that evaluation, ask the Member States to propose more sites whenever necessary. The ETC_NPB regularly (about twice a year) compiles all the information received into a single EU database. The lists of sites foreseen in the Habitats Directive are divided in seven bio-geographic regions (Pannonian, Boreal, Continental, Atlantic, Alpine, Macaronesian and Mediterranean) within the territory of the Union. The first list for the Macaronesian region (Madeira, Azores and Canary islands) was agreed in December 2001. The second list was adopted in December 2003 for the Alpine region. The lists are established on the basis of proposals made by the Member States, which are subsequently evaluated with the assistance of the European Environmental Agency. The Natura 2000 sites include different types of European ecosystems. Some sites are in coastal areas, or in open marine waters, some contain lakes or are riverine, and many include forest and farmland. It should be noted that data used for the sub-indicators % of UAA under Natura 2000 and % of forest area under Natura 2000 were extracted from Section 4.1 of the Standard Data Form (of data transmission from the MS to the Commission). This section provides information about the 'habitat classes', i.e. main land uses within each site. This information is not complete for every site and it is not always coherent with the information provided on Section 3 – annex I habitats. Therefore, these statistics have to be used with caution: they only give a broad 'image' of land uses

Sub-indicators % of territory under Natura 2000 Natura 2000 being SPA & SPI, territory meaning terrestrial area. This indicator belongs too to the set of Structural Indicators (n° V 7.2.1: Protection of natural resources – areas proposed under the Habitats and Birds Directive)

% of UAA under Natura 2000

In this context, Natura2000 consists in SCI (Habitats Directive) % of forest area under Natura 2000

In this context, Natura 2000 consists in SCI (Habitats Directive) Unit of measurement % Source % territory under Natura 2000 (SCI & SPA)

DG ENV % UAA under Natura 2000 (SCI)

UAA under Natura 2000 : National level : European Topic Center on Nature Protection and Biodiversity

(Based on national data sent to DG Environment) Regional level : European Environment Agency - IRENA 4

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Total UAA : Farm Structure Survey

% forest area under Natura 2000 (SCI) Forest under Natura2000 : European Topic Center on Nature Protection and

Biodiversity (Based on national data sent to DG Environment) Forest area : Global Forest Resources Assessment 2005 (FRA 2005) - FAO

Please note that the ETC_NPB database includes sites from Community Lists already adopted by the Commission – Alpine, Atlantic, Boreal, Continental, Macaronesian – and sites proposed but not yet adopted at that time – Mediterranean.

Baseline indicator for context 11 – Biodiversity: Protected forest

Measurement of the indicator

% FOWL protected to conserve biodiversity, landscapes and specific natural elements (MCPFE 4.9, classes 1.1, 1.2, 1.3 & 2)

Definition of the indicator

This indicator relates to Forest and Other Wooded Land (FOWL) Protected areas per se focus on the conservation of biological diversity and the maintenance of natural ecological processes. Protected areas are included as a main pillar in nature conservation laws in all European countries and represent one of the oldest instrument for protecting nature and natural resources. In 2002 new Assessment Guidelines for Protected and Protective Forests and Other Wooded Land in Europe were elaborated and adopted by the MCPFE. Protected and protective forests and other wooded land have to comply with the following general principles in order to be assigned according to the MCPFE Assessment Guidelines: - Existence of legal basis - Long term commitment (minimum 20 years) - Explicit designation for the protection of biodiversity, landscapes and specific natural elements or protective functions of forest and other wooded land

Subdivisions This indicator is further broken down according to the MCPFE class of protection, which is defined by the management objective and restrictions to interventions as follow: • Class 1: Main Management Objective ‘Biodiversity’

- Class 1.1: ‘No Active Intervention’ → The main management objective is biodiversity. → No active, direct human intervention is taking place → Activities other than limited public access and non-destructive research not detrimental to the management objective are prevented in the protected area

- Class 1.2: ‘Minimum Intervention’ → The main management objective is biodiversity → Human intervention is limited to a minimum → Activities other than those listed below are prevented in the protected area: - Ungulate/game control - Control of diseases/insect outbreaks - Public access - Fire intervention - Non-destructive research not detrimental to the management objective - Subsistence resource use

- Class 1.3: ‘Conservation Through Active Management’ → The main management objective is biodiversity → A management with active interventions directed to achieve the specific conservation goal of the protected area is taking place → Any resource extraction, harvesting, silvicultural measures detrimental to the management objective as well as other activities negatively affecting the conservation goal are prevented in the protected area • Class 2: Main Management Objective ‘Protection of Landscapes and Specific

Natural Elements’ → Interventions are clearly directed to achieve the management goals of landscape diversity, cultural, aesthetic, spiritual and historical values, recreation and specific

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natural elements → The use of forest resources is restricted → A clear long-term commitment and an explicit designation as specific protection regime defining a limited area is existing → Activities negatively affecting characteristics of landscapes or/and specific natural elements mentioned are prevented in the protected area

Unit of measurement % FOWL Source “State of Europe’s Forests 2003 – The MCPFE report on sustainable Forest

management in Europe”

Baseline indicator for context 12 – Development of forest area

Measurement of the indicator Average annual increase of forest and other wooded land areas

Definition of the indicator

The annual average increase is calculated by observing the change over a certain number of years. As applied for the Global Forest Resources Assessment Update in 2005 (FAO, FRA 2005), the definitions of forest and other wooded land are as follows: -Forest Land spanning more than 0.5 hectares with trees higher than 5 meters and a canopy cover of more than 10 percent, or trees able to reach these thresholds in situ. It does not include land that is predominantly under agricultural or urban land use. Explanatory notes 1. Forest is determined both by the presence of trees and the absence of other predominant land uses. The trees should be able to reach a minimum height of 5 meters in situ. Areas under reforestation that have not yet reached but are expected to reach a canopy cover of 10 percent and a tree height of 5 m are included, as are temporarily unstocked areas, resulting from human intervention or natural causes, which are expected to regenerate. 2. Includes areas with bamboo and palms provided that height and canopy cover criteria are met. 3. Includes forest roads, firebreaks and other small open areas; forest in national parks, nature reserves and other protected areas such as those of specific scientific, historical, cultural or spiritual interest. 4. Includes windbreaks, shelterbelts and corridors of trees with an area of more than 0.5 ha and width of more than 20 m. 5. Includes plantations primarily used for forestry or protection purposes, such as rubberwood plantations and cork oak stands. 6. Excludes tree stands in agricultural production systems, for example in fruit plantations and agroforestry systems. The term also excludes trees in urban parks and gardens. -Other wooded land Land not classified as Forest, spanning more than 0.5 hectares; with trees higher than 5 meters and a canopy cover of 5-10 percent, or trees able to reach these thresholds in situ; or with a combined cover of shrubs, bushes and trees above 10 percent. It does not include land that is predominantly under agricultural or urban land use.

Unit of measurement Ha/year Source Global Forest Resources Assessment 2005 (FRA 2005) - FAO

/ Temperate and Boreal Forest Resources Assessment 2000 (TBFRA 2000) - UNECE/FAO

Baseline indicator for context 13 – Forest ecosystem health

Measurement of the indicator % trees / conifers / broadleaved in defoliation classes 2-4

Definition of the indicator

Deposition of air pollutants on forests is a major stress factor that has been shown to damage leaves and needles or to change soil and water condition and thus affect forest tree health, ground vegetation composition, and ecosystem stability. Air pollution may also predispose trees to the effects of droughts and attacks by fungi and insects. The most important measure used to assess forest condition or health is crown density or defoliation, a measurement of the amount of foliage that a tree carries. By definition,

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a tree with defoliation greater than 25% is classified as ‘damaged’. This comprises the defoliation classes ‘moderately damaged’ (class 2), ‘severely damaged’ (class 3), and ‘dead’ (class 4). Depositions and defoliation are continuously monitored under the UNECE convention on Long-range Transboundary Air Pollution (CLRTAP) by the UNECE International Co-operative Programme on the Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests).

Subdivision This indicator is further broken down according to the species groups: - Defoliation, all trees - Defoliation, coniferous trees - Defoliation, broadleaved trees

Unit of measurement % of sampled trees in defoliation classes 2-4 Source ICP forest “The condition of forests in Europe” – Report 2005

Baseline indicator for context 14 – Water quality

Measurement of the indicator % territory designated as Nitrate Vulnerable Zone

Definition of the indicator

This indicator aims at giving an idea of the scale of water quality problems and the political importance devoted to this issue. Nitrate vulnerable zones are areas that are under a regime of specific legal requirements aiming at the reduction of water pollution from agricultural sources. The "Territory designed as Nitrate Vulnerable Zone" are the areas of land in the national territory that a Member State has designated as vulnerable zone and notified to the Commission in application of provisions of Article 3(2) and (4) of the Council Directive 91/676/EEC. Note that, the territory designed as Nitrate Vulnerable Zone corresponds to the whole national territory in the case of Member States that, based on provisions of Article 3(4) of Council Directive 91/676/EEC, are exempt from the obligation to identify specific vulnerable zones because they have established and apply action programmes throughout their national territory.

Unit of measurement % territory Source DG ENV

Baseline indicator for context 15 - Water use

Measurement of the indicator % irrigated UAA

Definition of the indicator

Agriculture is an essential driving force in the management of water use. New production methods and irrigation play an important role in the development of the agricultural sector, but improvements in agricultural productivity often put a great pressure on natural resources. That is the case of water use for irrigation, especially during dry periods. According to the definition applied in Farm Structure Surveys of Eurostat (Reg. 571/88 and Commission Decision 2000/115) : Irrigated area is defined as the area of irrigated crops, i.e. the area of crops which have actually been irrigated at least once during the 12 months prior to the survey date. Crops under glass and kitchen gardens, which are almost always irrigated, should not be included. Utilised Agricultural Area consists in the total area taken up by arable land, permanent grassland, permanent crops and kitchen gardens. To ensure consistency with what is measured under “irrigated area”, one should take out of total UAA the area of crops under glass and kitchen gardens. Nevertheless, this causes negligible change.

Unit of measurement % Source Eurostat – Farm Structure Survey 2003

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Baseline indicator for context

16 - Protective forests concerning primarily soil, water and other ecosystem functions

Measurement of the indicator FOWL area managed primarily for soil & water protection (MCPFE 5.1 class 3.1)

Definition of the indicator

This indicator corresponds to MCPFE (Ministerial Conference on the Protection of Forests in Europe) indicator number 5.1 “Protective forests – soil, water and other ecosystem functions”, class 3.1. It relates to Forest and Other Wooded Land (FOWL) Forests play important roles in the protection of soil or the surface under the forest cover, for instance, for protection against erosion. Forests are also essential for the maintenance of water resources and of water cycles such as the protection of water reservoirs or filtering of water, modification of water cycle and run-off. In addition, protective forests guarantee other important ecosystem functions, like the maintenance of clean air, stabilization of local climate, securing the timber line in alpine and polar areas, etc. For the purpose of this indicator, the forest and other wooded land where the above-stated protective functions are the primary management objective have to be designed in compliance to the “MCPFE Assessment Guidelines for Protected and Protective Forest and Other Wooded Land in Europe”, class 3: “Main management objective “Protective Functions’”, subclass 3.1: “Management clearly directed to protect soil and its properties or water quality and quantity or other forest ecosystem functions”.

• Designated protective areas comply the following principles: - Existence of legal basis - Long term commitment (minimum 20 years) - Explicit designation for the protection of biodiversity, landscapes and specific natural elements or protective functions of forest and other wooded land

• Class 3: Main management objective “Protective Functions’ implies that: - The management is clearly directed to protect soil and its properties or water quality and quantity of other ecosystem functions (class 3.1), or to protect infrastructure and managed natural resources against natural hazards (class 3.2). - Forests and other wooded lands are explicitly designed to fulfill protective functions in management plans or other legally authorized equivalents. - Any operation negatively affecting soil or water or the ability to protect other ecosystem functions, or the ability to protect infrastructure and managed natural resources against natural hazards is prevented.

Unit of measurement % Source “State of Europe’s Forests 2003 – The MCPFE report on sustainable Forest

management in Europe”

AXIS 3 IMPROVING THE QUALITY OF LIFE IN RURAL AREAS AND

ENCOURAGING DIVERSIFICATION OF ECONOMIC ACTIVITY Baseline indicator for context 17 – Population density

Measurement of the indicator Population density

Definition of the indicator

This indicator consists in the density of the average total population, i.e. the ratio of the population of a territory on a given date to the size of the territory. Most Member States calculate the average population as the arithmetic mean of the population on 1st January for two consecutive years, with the exception of Germany (average of twelve monthly figures), Ireland (mid-April population), United Kingdom (30 June population), Denmark, Spain and Netherlands (1st July registered population). Area refers to the total land area.

Unit of measurement Inhabitants / km2 Source Eurostat

188

Baseline indicator for context 18 - Age structure

Measurement of the indicator % people aged (0-14) y.o. / (15-64) y.o. / >=65 y.o. in total population

Definition of the indicator

This indicator covers the age structure of the whole population. The following age groups are defined for this indicator:

• Share of people aged 0-14 years old

• Share of people aged 15-64 years old

• Share of people aged 65 years old and over

To get data at NUTS 3 level, data from the Census 2001 have been used where available. Census covers the total population at its usual residence. There are persons usually resident and present at the time of the Census, and persons usually resident but temporarily absent at the time of the Census; but not persons temporarily present at the time of the Census who are usually resident elsewhere. A person’s usual residence should be that at which he/she spends most of his/her daily night-rest.

When data of the Census were not available, population can be either the population on 1 January or the average population during the year. Unless otherwise stipulated, the population on 1 January is used consisting in the inhabitants of a given area on 1 January of the year in question (or, in some cases, on 31 December of the previous year). The population is based on data from the most recent census adjusted by the components of population change produced since the last census, or based on population registers.

Subdivision This indicator is broken down according to the following age groups: • Share of people aged 0-14 years old • Share of people aged 15-64 years old • Share of people aged 65 years old and over

Unit of measurement % Source Eurostat: Census 2001 / Population statistical data

Baseline indicator for context 19 - Structure of the Economy

Measurement of the indicator % GVA by branch (Primary / Secondary / Tertiary sector)

Definition of the indicator

GVA is defined as the value of output less the value of intermediate consumption. Output is valued at basic prices, GVA is valued at basic prices and intermediate consumption is valued at purchasers’ prices. Primary sector covers divisions 01 to 05 or branches A & B of NACE rev.1.1. Secondary sector covers divisions 10 to 45 or branches C to F of NACE rev.1.1. Tertiary sector covers divisions 50 to 95 or branches G to P of NACE rev.1.1. Total refers to GVA in branches A to P of NACE rev.1.1.

Subdivision This indicator is broken down by branches: • Share of GVA in primary sector • Share of GVA in secondary sector • Share of GVA in tertiary sector

Unit of measurement % Source Eurostat - Economic accounts-ESA95

At national level, the following series is more up-to-date, and has been used for the calculation of the EU aggregates: National accounts (including GDP) - Breakdown by 6 branches

Baseline indicator for context 20 – Structure of employment

Measurement of the indicator % employment by branch (Primary / Secondary / Tertiary sector)

Definition of the indicator

In Economic Accounts, total employment (ESA 1995, 11.11) covers all persons – both employees and the self-employed - in a specific region.

189

In the European Union Labour Force Survey, employment covers all persons in employment that are aged 15 year and having work for pay or profit regardless the number of hours per week. Preferred source is the Economic Accounts. Primary sector covers divisions 01 to 05 or branches A & B of NACE rev.1.1. Secondary sector covers divisions 10 to 45 or branches C to F of NACE rev.1.1. Tertiary sector covers:

• In Economic Accounts divisions 50 to 95 or branches G to P of NACE rev.1.1. • In Labour Force Survey branches G to Q of NACE rev.1.1.

Total refers to employment in branches: • In Economic Accounts: A to P of NACE rev.1.1. • In Labour Force Survey A to Q of NACE rev.1.1.

Subdivision This indicator is broken down by branches: • Share of employment in primary sector • Share of employment in secondary sector • Share of employment in tertiary sector

Unit of measurement % Employment Source Eurostat - Economic accounts-ESA95 / Labour Force Survey

Baseline indicator for context 21 – Long-term unemployment

Measurement of the indicator % long-term unemployment (as a share of active population)

Definition of the indicator

The long-term unemployment rate is the share of unemployed persons since 12 months or more in the total number of active persons in the labour market (according to the methodology of the EU Structural Indicators). Unemployed persons are all persons aged 15 to 74 who were not employed during the reference week, had actively sought work during the past four weeks and were ready to begin work immediately or within two weeks. The duration of unemployment is defined as the duration of the search for a job or as the length of the period since the last job was held (if this period is shorter than the duration of search for a job). Active persons are those who are either employed or unemployed, employed persons being all persons aged 15 and over who, during the reference week worked at least on hour for pay or profit, or who were temporarily absent from such work. Family workers are included. All these terms refer to the European Union Labour Force Survey.

Unit of measurement % of active population Source Eurostat - Labour Force Survey

Baseline indicator for context 22 - Educational attainment

Measurement of the indicator % adults (25_64) with Medium & High educational attainment

Definition of the indicator

Educational attainment of a person is the highest level of an educational programme the person has successfully completed. The International Standard Classification of Education (ISCED) 1997 is the standard classification on educational attainment at EU level. The expression ‘level successfully completed’ must be associated with obtaining a certificate or a diploma. The denominator consists of the total population of the same age group, excluding “no answers” to the question ‘highest level of education successfully completed’. Both the numerator and the denominator come from the European Union Labour Force Survey. Based on ISCED 1997, the following levels are taken into consideration: - Low: ISCED levels 0 to 2 i.e. pre-primary, primary and lower secondary education. Persons with no education (illiterate) are included in the code ISCED 0. - Medium: ISCED levels 3 & 4 i.e. upper secondary and post secondary non-tertiary education.

190

- High: ISCED levels 5 & 6 i.e. tertiary education. Unit of measurement % of adults (25_64 y.o.) Source Eurostat - Labour Force Survey

Baseline indicator for context 23 - Internet infrastructure

Measurement of the indicator DSL coverage

Definition of the indicator

DSL coverage is the percentage of the population that is depending on switches equipped for DSL (Digital Subscriber Line) and / or living in houses passed by an upgraded cable. This includes individuals and businesses located too far away from the switches to be reached, underestimating effective coverage. A 2004 Commission Communication {COM(2004) 369: “Connecting Europe at High Speed: National Broadband Strategies"} gave the following definition for broadband: "a wide range of technologies that have been developed to support the delivery of innovative interactive services, equipped with always-on functionality, providing broad bandwidth capacity that evolves over time, and allowing the simultaneous use of both voice and data services." The two main access technologies are DSL and cable modem. Deployment of cable modem in scarcely populated areas involves high costs and is not expected to have a significant impact. Moreover, the two access technologies are often overlapping. The data are collected through a survey of telecom operators. As telecom operators are not able to make the difference between residential and business use, broadband data are typically presented in terms of population. This same methodology is used by the Communication Committee (which is made of national regulatory authorities and provide the official data on broadband penetration also for the structural indicators) and by for example the OECD.

Unit of measurement % population Source DG INFSO

The file is from Idate, a consultant that made a study for DG INFSO on development of broadband access and providing the breakdown rural/suburban/urban areas. A presentation of results is available in the report “Digital divide forum report: broadband access and public support in underserved areas”, of July 2005

Notes Caution: this breakdown rural / suburban / urban areas differs from the OECD definition:

• Urban areas: areas with population density > 500 inhabitants /km2 • Suburban areas: areas with population density > 100 and < 500

inhabitants /km2 • Rural areas: areas with population density < 100 inhabitants /km2

191

ANNEX 3.D

OBJECTIVE-RELATED BASELINE INDICATORS DATA AT REGIONAL LEVEL

192

Abbreviations & signs used in the datasets for baseline indicators

Abbreviations & signs used in the Data column n.a. not available n.s. not significant - not relevant Abbreviations & signs used in the Flag column Quality of the data c confidential e estimate p provisional

u unreliable

indicative

This flag is used for the indicator O18-Biodiversity: High Nature Value farmland areas. As there are still currently methodological developments of the concept and of the cartography of High Nature Value Farmland Area, the data provided are only indicative.

preliminary

This flag is used in the context of indicator C14-Water quality. It indicates that the data are preliminary results, that have not yet been checked with Member States.

Different source

When the source used to calculate a value is different from the main source, it is indicated as a flag. To get more information on the sources, please refer to the section "presentation of the sources" in the document "Baseline Indicator Fiches" stat. data

Statistical data, as opposed to Census data. See the relevant indicator fiche (C18-Age structure – Technical Annex 3.C) for more explanations.

FSS Farm Structure Survey

LFS Labour Force Survey

OFP project

The full title of EU-CEE-OFP research project is “Further development of Organic Farming Policy in Europe, with Particular Emphasis on EU Enlargement”, led by the University of Institute of Rural Sciences, University of Wales, Aberystwyth.The project receives the financial support of the Commission of the European Community under the 5th Framework Programme (Resources QLK5-2002-00917). See the relevant indicator fiche (O23-Organic farming – Technical Annex 3.C) for more explanations.

reg. accounts Regional Accounts Different NUTS level of calculation

When the value has been calculated at a NUTS level different than the one indicated in the sheet name, it is precised in the flag column.

193

NUTS 2 data

This flag is used for indicator C2-Importance of rural areas. The calculation has been made on the basis of NUTS 3 data, except for the countries signalled by this flag. Please refer to the indicator fiche (Technical Annex 3.C) for more detail.

DE4

For the German NUTS 2 regions DE41 & DE42, when the data where not available, the calculation has been made at the corresponding NUTS 1 level (DE4).

Different year

When the value given for a NUTS code / MS differs from the main year used for the indicator, it is indicated as a flag. Different calculation

For some indicators, mainly due to data availability, the value for a given NUTS code may have been calculated in a slightly different way than the one indicated in the fiche (available in Technical Annex 3.C). It is then indicated by a flag. LFS A_B or G_to_Q

For indicators referring to employment, the main source is the National Accounts. For some countries, LFS series have been used. The breakdown by branch used in LFS may not always correspond to the one defined for the indicator, which is signalled in the flag. For more information, please refer to the corresponding indicator fiche (Technical Annex 3.C).

hotels only

Some indicators (e.g. O31-Tourism infrastructure) consist in a sum of variables. When one or more of this variables are missing, it is indicated in the flag column.

forest

Some indicators (e.g. C16-Protective forests) refer to an aggregate of areas: in this example Forest + Other wooded land. When data for one of this area are missing, it is indicated in the flag column. In this example "forest" means that the given data correspond only to the forest area.

G2

For the EU aggregates, in most cases, Eurostat provides the value. When it is not the case, or when other sources have been used, the aggregate may have been calculated by DG AGRI, which is indicated by the flag "G2"

194

195

ANNEX 3.D.a

OBJECTIVE-RELATED BASELINE INDICATORS DATA AT NUTS 2 & 3 LEVELS

196

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

BE1

0R

ég. d

e B

ruxe

lles-

Cap

itale

/Bru

ssel

s Ho

ofds

tede

lijk

Gew

.N

UTS

2(3

) PU

237.

154

.115

.7n.

a.n.

a.0.

5B

E10

0A

rr. d

e B

ruxe

lles-

Cap

itale

/Arr

. van

Bru

ssel

-Hoo

fdst

adN

UTS

3(3

) PU

237.

1n.

a.15

.6 2

003

n.a.

n.a.

n.a.

BE2

1Pr

ov. A

ntw

erpe

nN

UTS

2(3

) PU

136.

362

.76.

0n.

a.n.

a.12

.7B

E21

1A

rr. A

ntw

erpe

nN

UTS

3(3

) PU

150.

1n.

a.7.

1 2

003

n.a.

n.a.

n.a.

BE

212

Arr

. Mec

hele

nN

UTS

3(3

) PU

117.

1n.

a.5.

3 2

003

n.a.

n.a.

n.a.

BE

213

Arr

. Tur

nhou

tN

UTS

3(3

) PU

119.

2n.

a.5.

5 2

003

n.a.

n.a.

n.a.

BE2

2Pr

ov. L

imbu

rg (B

)N

UTS

2(3

) PU

98.4

60.9

6.5

n.a.

n.a.

11.2

BE

221

Arr

. Has

selt

NU

TS 3

(3) P

U12

0.3

n.a.

7.5

200

3n.

a.n.

a.n.

a.B

E22

2A

rr. M

aase

ikN

UTS

3(3

) PU

85.5

n.a.

5.8

200

3n.

a.n.

a.n.

a.B

E22

3A

rr. T

onge

ren

NU

TS 3

(3) P

U69

.0n.

a.6.

4 2

003

n.a.

n.a.

n.a.

BE2

3Pr

ov. O

ost-V

laan

dere

nN

UTS

2(3

) PU

101.

965

.35.

2n.

a.n.

a.15

.3B

E23

1A

rr. A

alst

NU

TS 3

(3) P

U73

.9n.

a.4.

9 2

003

n.a.

n.a.

n.a.

BE

232

Arr

. Den

derm

onde

NU

TS 3

(3) P

U81

.1n.

a.4.

8u

2003

n.a.

n.a.

n.a.

BE

233

Arr

. Eek

loN

UTS

3(3

) PU

77.8

n.a.

n.a.

n.a.

n.a.

n.a.

BE

234

Arr

. Gen

tN

UTS

3(3

) PU

128.

8n.

a.6.

4 2

003

n.a.

n.a.

n.a.

BE

235

Arr

. Oud

enaa

rde

NU

TS 3

(3) P

U96

.1n.

a.n.

a.n.

a.n.

a.n.

a.B

E23

6A

rr. S

int-N

ikla

asN

UTS

3(3

) PU

103.

5n.

a.5.

3 2

003

n.a.

n.a.

n.a.

BE2

4Pr

ov. V

laam

s B

raba

ntN

UTS

2(3

) PU

121.

067

5.0

n.a.

n.a.

8.1

BE

241

Arr

. Hal

le-V

ilvoo

rde

NU

TS 3

(3) P

U13

7.6

n.a.

5.1

200

3n.

a.n.

a.n.

a.B

E24

2A

rr. L

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3(3

) PU

100.

8n.

a.6.

1 2

003

n.a.

n.a.

n.a.

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5Pr

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dere

nN

UTS

2(3

) PU

108.

465

.54.

5n.

a.n.

a.21

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E25

1A

rr. B

rugg

eN

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3(3

) PU

110.

2n.

a.4.

2 2

003

n.a.

n.a.

n.a.

BE

252

Arr

. Dik

smui

deN

UTS

3(2

) IR

79.5

n.a.

n.a.

n.a.

n.a.

n.a.

BE

253

Arr

. Iep

erN

UTS

3(2

) IR

90.9

n.a.

n.a.

n.a.

n.a.

n.a.

BE

254

Arr

. Kor

trijk

NU

TS 3

(3) P

U11

9.2

n.a.

4.0

200

3n.

a.n.

a.n.

a.B

E25

5A

rr. O

oste

nde

NU

TS 3

(3) P

U87

.0n.

a.6.

2u

2003

n.a.

n.a.

n.a.

BE

256

Arr

. Roe

sela

reN

UTS

3(3

) PU

116.

7n.

a.n.

a.n.

a.n.

a.n.

a.B

E25

7A

rr. T

ielt

NU

TS 3

(3) P

U12

8.9

n.a.

n.a.

n.a.

n.a.

n.a.

BE

258

Arr

. Veu

rne

NU

TS 3

(2) I

R10

5.6

n.a.

n.a.

n.a.

n.a.

n.a.

BE3

1Pr

ov. B

raba

nt W

allo

nN

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2(3

) PU

112.

760

.67.

7n.

a.n.

a.2.

4B

E31

0A

rr. N

ivel

les

NU

TS 3

(3) P

U11

2.7

n.a.

7.9

200

3n.

a.n.

a.n.

a.B

E32

Prov

. Hai

naut

NUT

S 2

(3) P

U75

.451

.813

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a.n.

a.8.

8B

E32

1A

rr. A

thN

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3(2

) IR

60.4

n.a.

9.0

u 20

03n.

a.n.

a.n.

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E32

2A

rr. C

harle

roi

NU

TS 3

(3) P

U87

.0n.

a.15

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003

n.a.

n.a.

n.a.

BE

323

Arr

. Mon

sN

UTS

3(3

) PU

73.1

n.a.

15.3

200

3n.

a.n.

a.n.

a.B

E32

4A

rr. M

ousc

ron

NU

TS 3

(3) P

U94

.7n.

a.8.

6u

2003

n.a.

n.a.

n.a.

BE

325

Arr

. Soi

gnie

sN

UTS

3(3

) PU

65.4

n.a.

11.0

200

3n.

a.n.

a.n.

a.B

E32

6A

rr. T

huin

NU

TS 3

(2) I

R49

.2n.

a.11

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003

n.a.

n.a.

n.a.

BE

327

Arr

. Tou

rnai

NU

TS 3

(3) P

U83

.9n.

a.9.

3 2

003

n.a.

n.a.

n.a.

BE3

3Pr

ov. L

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NUT

S 2

(2) I

R87

.654

.913

.3n.

a.n.

a.7

BE

331

Arr

. Huy

NU

TS 3

(2) I

R73

.7n.

a.10

.2u

2003

n.a.

n.a.

n.a.

BE

332

Arr

. Liè

geN

UTS

3(3

) PU

93.3

n.a.

13.5

200

3n.

a.n.

a.n.

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E33

3A

rr. V

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NU

TS 3

(2) I

R88

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a.7.

9 2

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n.a.

n.a.

n.a.

BE

334

Arr

. War

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3(2

) IR

58.3

n.a.

n.a.

n.a.

n.a.

n.a.

BE3

4Pr

ov. L

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bour

g (B

)N

UTS

2(1

) PR

82.9

60.1

8.1

n.a.

n.a.

5.7

BE

341

Arr

. Arlo

nN

UTS

3(2

) IR

95.0

n.a.

n.a.

n.a.

n.a.

n.a.

BE

342

Arr

. Bas

togn

eN

UTS

3(1

) PR

69.0

n.a.

n.a.

n.a.

n.a.

n.a.

BE

343

Arr

. Mar

che-

en-F

amen

neN

UTS

3(1

) PR

88.9

n.a.

n.a.

n.a.

n.a.

n.a.

BE

344

Arr

. Neu

fchâ

teau

NU

TS 3

(1) P

R84

.2n.

a.n.

a.n.

a.n.

a.n.

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E34

5A

rr. V

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NU

TS 3

(1) P

R73

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a.n.

a.n.

a.n.

a.n.

a.B

E35

Prov

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urN

UTS

2(2

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82.3

57.3

9.7

n.a.

n.a.

5B

E35

1A

rr. D

inan

tN

UTS

3(1

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68.9

n.a.

9.1

u 20

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a.n.

a.n.

a.B

E35

2A

rr. N

amur

NU

TS 3

(2) I

R92

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a.9.

5 2

003

n.a.

n.a.

n.a.

BE

353

Arr

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lippe

ville

NU

TS 3

(1) P

R58

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a.n.

a.n.

a.n.

a.n.

a.CZ

01Pr

aha

NUT

S 2

(3) P

U14

7.2

70.3

3.9

n.a.

2002

n.a.

2002

2.8

CZ0

10H

lavn

í mes

to P

raha

NU

TS 3

(3) P

U14

7.2

n.a.

3.9

n.a.

n.a.

n.a.

CZ02

Stre

dní C

echy

NUT

S 2

(2) I

R54

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5.4

57.1

620

0235

.720

0223

.2C

Z020

Stre

doce

ský

NU

TS 3

(2) I

R54

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a.5.

4n.

a.n.

a.n.

a.CZ

03Ji

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pad

NUT

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(2) I

R60

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.65.

864

.820

0237

.520

0236

.7C

Z031

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ceck

ýN

UTS

3(2

) IR

58.5

n.a.

5.7

n.a.

n.a.

n.a.

CZ0

32P

lzen

ský

NU

TS 3

(2) I

R62

.6n.

a.5.

8n.

a.n.

a.n.

a.CZ

04Se

vero

zápa

dN

UTS

2(2

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53.3

61.5

13.1

22.1

2002

37.1

2002

15.1

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TS 2

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R55

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2002

35.7

2002

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125.

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UT

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162.

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UT

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TS

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119.

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UT

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UT

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TS

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tN

UT

S 3

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109.

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138.

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114.

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112

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UT

S 3

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172.

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TS

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DE

114

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UT

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PU

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115

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TS

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DE

116

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UT

S 3

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106.

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103.

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121

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122

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UT

S 3

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196.

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TS

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126

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128

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129

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UT

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131

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151.

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132

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86.6

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134

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UT

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n.a.

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135

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UT

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4.9

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136

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139

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NU

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214

Altö

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n.a.

n.a.

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216

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NU

TS 3

(2) I

R99

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

7D

acha

uN

UTS

3(2

) IR

82.2

n.a.

n.a.

n.a.

n.a.

n.a.

DE

218

Ebe

rsbe

rgN

UTS

3(2

) IR

85.5

n.a.

n.a.

n.a.

n.a.

n.a.

DE

219

Eic

hstä

ttN

UTS

3(1

) PR

74.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

21A

Erd

ing

NU

TS 3

(1) P

R84

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

BFr

eisi

ngN

UTS

3(2

) IR

167.

1n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

CFü

rste

nfel

dbru

ckN

UTS

3(3

) PU

75.1

n.a.

n.a.

n.a.

n.a.

n.a.

DE

21D

Gar

mis

ch-P

arte

nkirc

hen

NU

TS 3

(1) P

R94

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

ELa

ndsb

erg

am L

ech

NU

TS 3

(1) P

R91

.2n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

FM

iesb

ach

NU

TS 3

(2) I

R92

.6n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

GM

ühld

orf a

m In

nN

UTS

3(2

) IR

99.6

n.a.

n.a.

n.a.

n.a.

n.a.

DE

21H

Mün

chen

, Lan

dkre

isN

UTS

3(3

) PU

346.

6n.

a.3.

9u

n.a.

n.a.

n.a.

DE

21I

Neu

burg

-Sch

robe

nhau

sen

NU

TS 3

(2) I

R95

.4n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

JP

faffe

nhof

en a

n de

r Ilm

NU

TS 3

(2) I

R88

.0n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

KR

osen

heim

, Lan

dkre

isN

UTS

3(2

) IR

86.9

n.a.

4.5

un.

a.n.

a.n.

a.D

E21

LS

tarn

berg

NU

TS 3

(3) P

U12

1.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE

21M

Trau

nste

inN

UTS

3(1

) PR

114.

6n.

a.n.

a.n.

a.n.

a.n.

a.D

E21

NW

eilh

eim

-Sch

onga

uN

UTS

3(2

) IR

100.

8n.

a.n.

a.n.

a.n.

a.n.

a.D

E22

Nie

derb

ayer

nN

UTS

2(1

) PR

105.

170

.35.

428

020

0348

.120

0322

4.5

de2

DE

221

Land

shut

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U19

3.1

n.a.

n.a.

n.a.

n.a.

n.a.

DE

222

Pas

sau,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

185.

6n.

a.n.

a.n.

a.n.

a.n.

a.D

E22

3S

traub

ing,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U16

3.2

n.a.

n.a.

n.a.

n.a.

n.a.

DE

224

Deg

gend

orf

NU

TS 3

(1) P

R10

7.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

225

Frey

ung-

Gra

fena

uN

UTS

3(1

) PR

74.4

n.a.

n.a.

n.a.

n.a.

n.a.

DE

226

Kel

heim

NU

TS 3

(2) I

R92

.2n.

a.n.

a.n.

a.n.

a.n.

a.D

E22

7La

ndsh

ut, L

andk

reis

NU

TS 3

(1) P

R88

.3n.

a.n.

a.n.

a.n.

a.n.

a.D

E22

8P

assa

u, L

andk

reis

NU

TS 3

(1) P

R83

.9n.

a.6.

7u

n.a.

n.a.

n.a.

DE

229

Reg

enN

UTS

3(1

) PR

82.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

22A

Rot

tal-I

nnN

UTS

3(1

) PR

92.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

22B

Stra

ubin

g-B

ogen

NU

TS 3

(1) P

R71

.0n.

a.n.

a.n.

a.n.

a.n.

a.D

E22

CD

ingo

lfing

-Lan

dau

NU

TS 3

(1) P

R15

6.2

n.a.

n.a.

n.a.

n.a.

n.a.

DE2

3O

berp

falz

NU

TS 2

(1) P

R10

9.8

68.7

6.2

134.

820

0348

.120

0322

4.5

de2

DE

231

Am

berg

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U16

6.2

n.a.

n.a.

n.a.

n.a.

n.a.

DE

232

Reg

ensb

urg,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U25

9.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE

233

Wei

den

in d

er O

berp

falz

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U17

4.8

n.a.

n.a.

n.a.

n.a.

n.a.

DE

234

Am

berg

-Sul

zbac

hN

UTS

3(1

) PR

74.1

n.a.

n.a.

n.a.

n.a.

n.a.

DE

235

Cha

mN

UTS

3(1

) PR

89.6

n.a.

n.a.

n.a.

n.a.

n.a.

DE

236

Neu

mar

kt in

der

Obe

rpfa

lzN

UTS

3(1

) PR

92.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

237

Neu

stad

t an

der W

aldn

aab

NU

TS 3

(1) P

R76

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E23

8R

egen

sbur

g, L

andk

reis

NU

TS 3

(2) I

R63

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

E23

9S

chw

ando

rfN

UTS

3(1

) PR

97.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE

23A

Tirs

chen

reut

hN

UTS

3(1

) PR

82.4

n.a.

n.a.

n.a.

n.a.

n.a.

DE2

4O

berf

rank

enN

UTS

2(2

) IR

106.

966

.49.

295

.620

0347

.420

0322

4.5

de2

DE

241

Bam

berg

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U21

4.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

242

Bay

reut

h, K

reis

freie

Sta

dtN

UTS

3(3

) PU

195.

8n.

a.n.

a.n.

a.n.

a.n.

a.D

E24

3C

obur

g, K

reis

frei

e S

tadt

NU

TS 3

(3) P

U17

1.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

244

Hof

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U14

4.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

245

Bam

berg

, Lan

dkre

isN

UTS

3(2

) IR

63.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE

246

Bay

reut

h, L

andk

reis

NU

TS 3

(1) P

R69

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

E24

7C

obur

g, L

andk

reis

NU

TS 3

(2) I

R10

4.8

n.a.

n.a.

n.a.

n.a.

n.a.

DE

248

Forc

hhei

mN

UTS

3(2

) IR

66.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

249

Hof

, Lan

dkre

isN

UTS

3(1

) PR

93.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

24A

Kro

nach

NU

TS 3

(1) P

R98

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

E24

BK

ulm

bach

NU

TS 3

(1) P

R99

.4n.

a.n.

a.n.

a.n.

a.n.

a.D

E24

CLi

chte

nfel

sN

UTS

3(2

) IR

102.

4n.

a.n.

a.n.

a.n.

a.n.

a.D

E24

DW

unsi

edel

im F

icht

elge

birg

eN

UTS

3(2

) IR

99.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE2

5M

ittel

fran

ken

NU

TS 2

(2) I

R12

6.5

68.1

8.1

121.

220

0344

.320

0322

4.5

de2

DE

251

Ans

bach

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U17

7.1

n.a.

n.a.

n.a.

n.a.

n.a.

DE

252

Erla

ngen

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U20

5.3

n.a.

n.a.

n.a.

n.a.

n.a.

DE

253

Fürth

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U15

9.5

n.a.

10.0

un.

a.n.

a.n.

a.D

E25

4N

ürnb

erg,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U17

7.9

n.a.

11.7

n.a.

n.a.

n.a.

Obj

ectiv

e 1

- Eco

nom

ic

Dev

elop

men

tO

bjec

tive

2 - E

mpl

oym

ent

Rat

eO

bjec

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3 -

Une

mpl

oym

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Obj

ectiv

e 7

- GFC

F in

Agr

icul

ture

(O

bjec

tive

7) -

GFC

F in

Agr

icul

ture

O

bjec

tive

8 - E

mpl

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Dev

elop

men

t of P

rimar

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ctor

GD

P(in

pps

)/cap

ita (E

U-

25=1

00)

Em

ploy

ed p

erso

ns/to

tal

popu

latio

n (1

5_64

y.o

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nem

ploy

men

t rat

e (%

ac

tive

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ross

Fix

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l For

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in

agric

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Fix

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mat

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Nat

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gric

ultu

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ccou

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Agr

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tura

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

aver

age

2000

to 2

002

2004

2004

Var

ious

, se

e fla

gV

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us ,

see

flag

2002

(200

1 fo

r HU

, UK

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inde

x of

pps

%%

Mill

ion

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Thou

sand

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n A

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DG

AG

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GR

I-G2

DG

AG

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2

199

Indi

cato

r

Mea

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men

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t

Cal

cula

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NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

255

Sch

wab

ach,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U11

9.6

n.a.

n.a.

n.a.

n.a.

n.a.

DE

256

Ans

bach

, Lan

dkre

isN

UTS

3(1

) PR

88.1

n.a.

6.2

un.

a.n.

a.n.

a.D

E25

7E

rlang

en-H

öchs

tadt

NU

TS 3

(3) P

U87

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E25

8Fü

rth, L

andk

reis

NU

TS 3

(3) P

U70

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

E25

9N

uern

berg

er L

and

NU

TS 3

(2) I

R91

.8n.

a.6.

4u

n.a.

n.a.

n.a.

DE

25A

Neu

stad

t an

der A

isch

-Bad

Win

dshe

imN

UTS

3(1

) PR

80.3

n.a.

n.a.

n.a.

n.a.

n.a.

DE

25B

Rot

hN

UTS

3(1

) PR

76.5

n.a.

n.a.

n.a.

n.a.

n.a.

DE

25C

Wei

ßenb

urg-

Gun

zenh

ause

nN

UTS

3(1

) PR

88.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE2

6U

nter

fran

ken

NU

TS 2

(2) I

R10

7.2

68.6

7.1

149.

820

0344

.920

0322

4.5

de2

DE

261

Asc

haffe

nbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

189.

4n.

a.n.

a.n.

a.n.

a.n.

a.D

E26

2S

chw

einf

urt,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U25

3.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

263

Wür

zbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

176.

3n.

a.8.

5u

n.a.

n.a.

n.a.

DE

264

Asc

haffe

nbur

g, L

andk

reis

NU

TS 3

(3) P

U88

.3n.

a.6.

1u

n.a.

n.a.

n.a.

DE

265

Bad

Kis

sing

enN

UTS

3(1

) PR

91.6

n.a.

n.a.

n.a.

n.a.

n.a.

DE

266

Rhö

n-G

rabf

eld

NU

TS 3

(1) P

R94

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

E26

7H

aßbe

rge

NU

TS 3

(1) P

R91

.0n.

a.n.

a.n.

a.n.

a.n.

a.D

E26

8K

itzin

gen

NU

TS 3

(2) I

R91

.8n.

a.n.

a.n.

a.n.

a.n.

a.D

E26

9M

ilten

berg

NU

TS 3

(2) I

R91

.2n.

a.n.

a.n.

a.n.

a.n.

a.D

E26

AM

ain-

Spe

ssar

tN

UTS

3(2

) IR

109.

5n.

a.n.

a.n.

a.n.

a.n.

a.D

E26

BS

chw

einf

urt,

Land

krei

sN

UTS

3(2

) IR

59.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

26C

Wür

zbur

g, L

andk

reis

NU

TS 3

(2) I

R68

.5n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

Schw

aben

NU

TS 2

(2) I

R11

1.6

70.3

6.4

202.

120

0346

.520

0322

4.5

de2

DE

271

Aug

sbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

168.

5n.

a.10

.2n.

a.n.

a.n.

a.D

E27

2K

aufb

eure

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

121.

2n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

3K

empt

en (A

llgäu

), K

reis

freie

Sta

dtN

UTS

3(3

) PU

154.

5n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

4M

emm

inge

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

166.

9n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

5A

icha

ch-F

riedb

erg

NU

TS 3

(2) I

R87

.3n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

6A

ugsb

urg,

Lan

dkre

isN

UTS

3(2

) IR

87.6

n.a.

5.9

un.

a.n.

a.n.

a.D

E27

7D

illin

gen

an d

er D

onau

NU

TS 3

(2) I

R89

.2n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

8G

ünzb

urg

NU

TS 3

(2) I

R11

6.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

279

Neu

-Ulm

NU

TS 3

(3) P

U10

9.1

n.a.

6.1

un.

a.n.

a.n.

a.D

E27

ALi

ndau

(Bod

ense

e)N

UTS

3(2

) IR

99.8

n.a.

n.a.

n.a.

n.a.

n.a.

DE

27B

Ost

allg

äuN

UTS

3(1

) PR

93.8

n.a.

n.a.

n.a.

n.a.

n.a.

DE

27C

Unt

eral

lgäu

NU

TS 3

(1) P

R92

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

DD

onau

-Rie

sN

UTS

3(1

) PR

109.

6n.

a.n.

a.n.

a.n.

a.n.

a.D

E27

EO

bera

llgäu

NU

TS 3

(1) P

R89

.2n.

a.n.

a.n.

a.n.

a.n.

a.D

E30

Ber

linN

UTS

2(3

) PU

99.1

57.9

18.4

3.1

2003

37.3

2003

7de

3D

E30

0B

erlin

NU

TS 3

(3) P

U99

.1n.

a.18

.4n.

a.n.

a.n.

a.D

E41

Bra

nden

burg

- N

ordo

stN

UTS

2(2

) IR

70.6

61.2

18.4

DE4

n.a.

2003

n.a.

2003

41.9

de4

DE

411

Fran

kfur

t (O

der)

, Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

105.

4n.

a.n.

a.n.

a.n.

a.n.

a.D

E41

2B

arni

mN

UTS

3(2

) IR

63.1

n.a.

n.a.

n.a.

n.a.

n.a.

DE

413

Mär

kisc

h-O

derla

ndN

UTS

3(2

) IR

63.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE

414

Obe

rhav

elN

UTS

3(2

) IR

67.2

n.a.

n.a.

n.a.

n.a.

n.a.

DE

415

Ode

r-S

pree

NU

TS 3

(2) I

R72

.9n.

a.n.

a.n.

a.n.

a.n.

a.D

E41

6O

stpr

igni

tz-R

uppi

nN

UTS

3(1

) PR

71.6

n.a.

n.a.

n.a.

n.a.

n.a.

DE

417

Prig

nitz

NU

TS 3

(1) P

R64

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E41

8U

cker

mar

kN

UTS

3(1

) PR

76.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE4

2B

rand

enbu

rg -

Südw

est

NU

TS 2

(1) P

R77

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4n.

a.20

03n.

a.20

0341

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4D

E42

1B

rand

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rg a

n de

r Hav

el, K

reis

frei

e S

tadt

NU

TS 3

(3) P

U76

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a.n.

a.n.

a.n.

a.n.

a.D

E42

2C

ottb

us, K

reis

frei

e S

tadt

NU

TS 3

(3) P

U10

6.6

n.a.

n.a.

n.a.

n.a.

n.a.

DE

423

Pot

sdam

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U12

3.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

424

Dah

me-

Spr

eew

ald

NU

TS 3

(1) P

R77

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a.n.

a.n.

a.n.

a.n.

a.D

E42

5E

lbe-

Els

ter

NU

TS 3

(1) P

R62

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a.n.

a.n.

a.n.

a.n.

a.D

E42

6H

avel

land

NU

TS 3

(2) I

R57

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E42

7O

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wal

d-La

usitz

NU

TS 3

(2) I

R61

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a.n.

a.n.

a.n.

a.n.

a.D

E42

8P

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ittel

mar

kN

UTS

3(2

) IR

65.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

429

Spr

ee-N

eiße

NU

TS 3

(2) I

R73

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a.n.

a.n.

a.n.

a.n.

a.D

E42

ATe

ltow

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min

gN

UTS

3(2

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85.5

n.a.

n.a.

n.a.

n.a.

n.a.

DE5

0B

rem

enN

UTS

2(3

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150.

159

.214

.31.

220

0330

.820

031.

5de

5D

E50

1B

rem

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

158.

1n.

a.13

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a.n.

a.n.

a.D

E50

2B

rem

erha

ven,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U11

3.9

n.a.

19.7

n.a.

n.a.

n.a.

DE6

0H

ambu

rgN

UTS

2(3

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189.

064

.310

.314

.720

0324

.720

035.

3de

6D

E60

0H

ambu

rgN

UTS

3(3

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189.

0n.

a.10

.3n.

a.n.

a.n.

a.D

E71

Dar

mst

adt

NU

TS 2

(3) P

U15

5.3

66.7

7.7

86.6

2003

34.0

2003

47.5

de7

DE

711

Dar

mst

adt,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U21

5.7

n.a.

8.6

un.

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a.n.

a.D

E71

2Fr

ankf

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m M

ain,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U31

7.8

n.a.

9.1

n.a.

n.a.

n.a.

DE

713

Offe

nbac

h am

Mai

n, K

reis

freie

Sta

dtN

UTS

3(3

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156.

0n.

a.12

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n.a.

n.a.

n.a.

DE

714

Wie

sbad

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

185.

1n.

a.9.

5n.

a.n.

a.n.

a.D

E71

5B

ergs

traße

NU

TS 3

(3) P

U89

.3n.

a.7.

3n.

a.n.

a.n.

a.

Obj

ectiv

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nom

ic

Dev

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men

tO

bjec

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2 - E

mpl

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Rat

eO

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3 -

Une

mpl

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Obj

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Agr

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(O

bjec

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7) -

GFC

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O

bjec

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8 - E

mpl

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Dev

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men

t of P

rimar

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ctor

GD

P(in

pps

)/cap

ita (E

U-

25=1

00)

Em

ploy

ed p

erso

ns/to

tal

popu

latio

n (1

5_64

y.o

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nem

ploy

men

t rat

e (%

ac

tive

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latio

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Fix

ed C

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l For

mat

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in

agric

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Fix

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l For

mat

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in

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shar

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Gro

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Eur

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Nat

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For

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gric

ultu

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ccou

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Agr

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sN

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ccou

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for N

L, R

O)

aver

age

2000

to 2

002

2004

2004

Var

ious

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e fla

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pps

%%

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Thou

sand

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ople

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ploy

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n A

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AG

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GR

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AG

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2

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cula

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NU

TS c

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labe

lN

UTS

le

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EC

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G2

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text

1)

DE

716

Dar

mst

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rgN

UTS

3(3

) PU

80.1

n.a.

6.7

n.a.

n.a.

n.a.

DE

717

Gro

ß-G

erau

NU

TS 3

(3) P

U14

5.8

n.a.

7.3

n.a.

n.a.

n.a.

DE

718

Hoc

htau

nusk

reis

NU

TS 3

(3) P

U13

3.3

n.a.

5.7

un.

a.n.

a.n.

a.D

E71

9M

ain-

Kin

zig-

Kre

isN

UTS

3(3

) PU

103.

5n.

a.7.

1n.

a.n.

a.n.

a.D

E71

AM

ain-

Tau

nus-

Kre

isN

UTS

3(3

) PU

163.

3n.

a.5.

0u

n.a.

n.a.

n.a.

DE

71B

Ode

nwal

dkre

isN

UTS

3(3

) PU

78.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

71C

Offe

nbac

h, L

andk

reis

NU

TS 3

(3) P

U11

9.3

n.a.

7.5

n.a.

n.a.

n.a.

DE

71D

Rhe

inga

u-Ta

unus

-Kre

isN

UTS

3(3

) PU

72.2

n.a.

6.0

un.

a.n.

a.n.

a.D

E71

EW

ette

rauk

reis

NU

TS 3

(3) P

U86

.6n.

a.7.

3n.

a.n.

a.n.

a.D

E72

Gie

ßen

NU

TS 2

(2) I

R99

.365

.68.

344

.220

0335

.220

0347

.5de

7D

E72

1G

ieße

n, L

andk

reis

NU

TS 3

(3) P

U11

4.4

n.a.

9.6

n.a.

n.a.

n.a.

DE

722

Lahn

-Dill

-Kre

isN

UTS

3(3

) PU

103.

3n.

a.8.

6n.

a.n.

a.n.

a.D

E72

3Li

mbu

rg-W

eilb

urg

NU

TS 3

(3) P

U81

.3n.

a.7.

9u

n.a.

n.a.

n.a.

DE

724

Mar

burg

-Bie

denk

opf

NU

TS 3

(2) I

R10

4.0

n.a.

6.9

n.a.

n.a.

n.a.

DE

725

Vog

elsb

ergk

reis

NU

TS 3

(1) P

R74

.7n.

a.n.

a.n.

a.n.

a.n.

a.D

E73

Kas

sel

NU

TS 2

(2) I

R10

7.2

65.4

7.3

89.8

2003

35.0

2003

47.5

de7

DE

731

Kas

sel,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U16

8.1

n.a.

11.7

n.a.

n.a.

n.a.

DE

732

Fuld

aN

UTS

3(2

) IR

114.

5n.

a.5.

7u

n.a.

n.a.

n.a.

DE

733

Her

sfel

d-R

oten

burg

NU

TS 3

(2) I

R10

9.2

n.a.

n.a.

n.a.

n.a.

n.a.

DE

734

Kas

sel,

Land

krei

sN

UTS

3(2

) IR

85.3

n.a.

6.3

un.

a.n.

a.n.

a.D

E73

5S

chw

alm

-Ede

r-K

reis

NU

TS 3

(2) I

R81

.9n.

a.6.

5u

n.a.

n.a.

n.a.

DE

736

Wal

deck

-Fra

nken

berg

NU

TS 3

(1) P

R10

0.8

n.a.

6.7

un.

a.n.

a.n.

a.D

E73

7W

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-Mei

ßner

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isN

UTS

3(1

) PR

86.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE8

0M

eckl

enbu

rg-V

orpo

mm

ern

NU

TS 2

(2) I

R72

.657

.321

.223

5.2

2003

27.7

2003

33.7

de8

DE

801

Gre

ifsw

ald,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

84.2

n.a.

21.9

un.

a.n.

a.n.

a.D

E80

2N

eubr

ande

nbur

g, K

reis

frei

e S

tadt

NU

TS 3

(3) P

U11

4.6

n.a.

22.6

n.a.

n.a.

n.a.

DE

803

Ros

tock

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U10

5.6

n.a.

19.8

n.a.

n.a.

n.a.

DE

804

Sch

wer

in, K

reis

freie

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dtN

UTS

3(3

) PU

116.

2n.

a.16

.3n.

a.n.

a.n.

a.D

E80

5S

trals

und,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U90

.4n.

a.24

.6u

n.a.

n.a.

n.a.

DE

806

Wis

mar

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U90

.8n.

a.n.

a.n.

a.n.

a.n.

a.D

E80

7B

ad D

ober

anN

UTS

3(1

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66.4

n.a.

17.1

n.a.

n.a.

n.a.

DE

808

Dem

min

NU

TS 3

(1) P

R57

.8n.

a.29

.0n.

a.n.

a.n.

a.D

E80

9G

üstro

wN

UTS

3(1

) PR

67.9

n.a.

25.0

n.a.

n.a.

n.a.

DE

80A

Ludw

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ust

NU

TS 3

(1) P

R59

.8n.

a.13

.9n.

a.n.

a.n.

a.D

E80

BM

eckl

enbu

rg-S

trelit

zN

UTS

3(1

) PR

56.0

n.a.

25.4

n.a.

n.a.

n.a.

DE

80C

Mür

itzN

UTS

3(1

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67.7

n.a.

22.8

n.a.

n.a.

n.a.

DE

80D

Nor

dvor

pom

mer

nN

UTS

3(1

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50.1

n.a.

25.3

n.a.

n.a.

n.a.

DE

80E

Nor

dwes

tmec

klen

burg

NU

TS 3

(1) P

R51

.0n.

a.15

.4n.

a.n.

a.n.

a.D

E80

FO

stvo

rpom

mer

nN

UTS

3(1

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53.9

n.a.

23.7

n.a.

n.a.

n.a.

DE

80G

Par

chim

NU

TS 3

(1) P

R61

.5n.

a.18

.0n.

a.n.

a.n.

a.D

E80

HR

ügen

NU

TS 3

(1) P

R61

.2n.

a.21

.9n.

a.n.

a.n.

a.D

E80

IU

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r-R

ando

wN

UTS

3(1

) PR

59.7

n.a.

30.2

n.a.

n.a.

n.a.

DE9

1B

raun

schw

eig

NU

TS 2

(2) I

R10

6.3

6210

.210

6.1

2003

32.9

2003

122.

3de

9D

E91

1B

raun

schw

eig,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

135.

3n.

a.11

.3n.

a.n.

a.n.

a.D

E91

2S

alzg

itter

, Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

131.

1n.

a.11

.8u

n.a.

n.a.

n.a.

DE

913

Wol

fsbu

rg, K

reis

freie

Sta

dtN

UTS

3(3

) PU

300.

8n.

a.n.

a.n.

a.n.

a.n.

a.D

E91

4G

ifhor

nN

UTS

3(2

) IR

60.9

n.a.

8.7

un.

a.n.

a.n.

a.D

E91

5G

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gen

NU

TS 3

(2) I

R96

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a.10

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a.n.

a.n.

a.D

E91

6G

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rN

UTS

3(3

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87.5

n.a.

10.7

un.

a.n.

a.n.

a.D

E91

7H

elm

sted

tN

UTS

3(2

) IR

63.2

n.a.

n.a.

n.a.

n.a.

n.a.

DE

918

Nor

thei

mN

UTS

3(1

) PR

79.4

n.a.

10.9

un.

a.n.

a.n.

a.D

E91

9O

ster

ode

am H

arz

NU

TS 3

(3) P

U96

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a.n.

a.n.

a.n.

a.n.

a.D

E91

AP

eine

NU

TS 3

(2) I

R69

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a.8.

7u

n.a.

n.a.

n.a.

DE

91B

Wol

fenb

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lN

UTS

3(2

) IR

57.2

n.a.

9.1

un.

a.n.

a.n.

a.D

E92

Han

nove

rN

UTS

2(2

) IR

105.

962

.99.

616

2.9

2003

33.0

2003

122.

3de

9D

E92

2D

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NU

TS 3

(1) P

R85

.1n.

a.7.

0u

n.a.

n.a.

n.a.

DE

923

Ham

eln-

Pyr

mon

tN

UTS

3(2

) IR

92.8

n.a.

11.9

n.a.

n.a.

n.a.

DE

925

Hild

eshe

imN

UTS

3(2

) IR

83.9

n.a.

8.5

n.a.

n.a.

n.a.

DE

926

Hol

zmin

den

NU

TS 3

(2) I

R85

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a.n.

a.n.

a.n.

a.n.

a.D

E92

7N

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urg

(Wes

er)

NU

TS 3

(1) P

R91

.6n.

a.n.

a.n.

a.n.

a.n.

a.D

E92

8S

chau

mbu

rgN

UTS

3(3

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77.4

n.a.

10.0

un.

a.n.

a.n.

a.D

E92

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n H

anno

ver

NU

TS 3

(3) P

U12

4.7

n.a.

10.0

n.a.

n.a.

n.a.

DE9

3Lü

nebu

rgN

UTS

2(2

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81.8

64.9

8.5

239.

820

0337

.420

0312

2.3

de9

DE

931

Cel

leN

UTS

3(2

) IR

91.9

n.a.

9.6

un.

a.n.

a.n.

a.D

E93

2C

uxha

ven

NU

TS 3

(1) P

R63

.4n.

a.9.

5n.

a.n.

a.n.

a.D

E93

3H

arbu

rgN

UTS

3(2

) IR

64.5

n.a.

6.8

un.

a.n.

a.n.

a.D

E93

4Lü

chow

-Dan

nenb

erg

NU

TS 3

(1) P

R74

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

E93

5Lü

nebu

rg, L

andk

reis

NU

TS 3

(2) I

R82

.7n.

a.9.

9n.

a.n.

a.n.

a.D

E93

6O

ster

holz

NU

TS 3

(2) I

R63

.4n.

a.n.

a.n.

a.n.

a.n.

a.

Obj

ectiv

e 1

- Eco

nom

ic

Dev

elop

men

tO

bjec

tive

2 - E

mpl

oym

ent

Rat

eO

bjec

tive

3 -

Une

mpl

oym

ent

Obj

ectiv

e 7

- GFC

F in

Agr

icul

ture

(O

bjec

tive

7) -

GFC

F in

Agr

icul

ture

O

bjec

tive

8 - E

mpl

oym

ent

Dev

elop

men

t of P

rimar

y Se

ctor

GD

P(in

pps

)/cap

ita (E

U-

25=1

00)

Em

ploy

ed p

erso

ns/to

tal

popu

latio

n (1

5_64

y.o

.)U

nem

ploy

men

t rat

e (%

ac

tive

popu

latio

n)G

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

reG

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

re a

s a

shar

e of

Gro

ss V

alue

E

mpl

oym

ent d

evel

opm

ent o

f prim

ary

sect

or (=

A)

Eur

osta

tE

uros

tat

Eur

osta

tE

uros

tat

Eur

osta

tE

uros

tat

Nat

iona

l Acc

ount

sLa

bour

For

ce S

urve

yLa

bour

For

ce S

urve

yA

gric

ultu

ral A

ccou

nts

Agr

icul

tura

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

aver

age

2000

to 2

002

2004

2004

Var

ious

, se

e fla

gV

ario

us ,

see

flag

2002

(200

1 fo

r HU

, UK

)

inde

x of

pps

%%

Mill

ion

euro

s%

Thou

sand

s pe

ople

em

ploy

ed (i

n A

)

DG

AG

RI-G

2D

G A

GR

I-G2

DG

AG

RI-G

2

201

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

937

Rot

enbu

rg (W

ümm

e)N

UTS

3(1

) PR

82.8

n.a.

7.5

un.

a.n.

a.n.

a.D

E93

8S

olta

u-Fa

lling

bost

elN

UTS

3(1

) PR

96.3

n.a.

8.5

un.

a.n.

a.n.

a.D

E93

9S

tade

NU

TS 3

(2) I

R10

3.1

n.a.

7.5

un.

a.n.

a.n.

a.D

E93

AU

elze

nN

UTS

3(2

) IR

83.4

n.a.

n.a.

n.a.

n.a.

n.a.

DE

93B

Ver

den

NU

TS 3

(2) I

R95

.4n.

a.n.

a.n.

a.n.

a.n.

a.D

E94

Wes

er-E

ms

NU

TS 2

(2) I

R97

.863

8.6

446.

520

0333

.320

0312

2.3

de9

DE

941

Del

men

hors

t, K

reis

freie

Sta

dtN

UTS

3(3

) PU

78.8

n.a.

n.a.

n.a.

n.a.

n.a.

DE

942

Em

den,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

181.

5n.

a.n.

a.n.

a.n.

a.n.

a.D

E94

3O

lden

burg

(Old

enbu

rg),

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U14

3.8

n.a.

10.2

un.

a.n.

a.n.

a.D

E94

4O

snab

rück

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U15

4.6

n.a.

9.4

un.

a.n.

a.n.

a.D

E94

5W

ilhel

msh

aven

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U12

9.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE

946

Am

mer

land

NU

TS 3

(2) I

R85

.8n.

a.n.

a.n.

a.n.

a.n.

a.D

E94

7A

uric

hN

UTS

3(2

) IR

70.0

n.a.

11.1

n.a.

n.a.

n.a.

DE

948

Clo

ppen

burg

NU

TS 3

(1) P

R89

.6n.

a.n.

a.n.

a.n.

a.n.

a.D

E94

9E

msl

and

NU

TS 3

(1) P

R10

4.2

n.a.

7.5

n.a.

n.a.

n.a.

DE

94A

Frie

slan

dN

UTS

3(2

) IR

86.4

n.a.

n.a.

n.a.

n.a.

n.a.

DE

94B

Gra

fsch

aft B

enth

eim

NU

TS 3

(2) I

R84

.0n.

a.n.

a.n.

a.n.

a.n.

a.D

E94

CLe

erN

UTS

3(2

) IR

77.4

n.a.

11.0

un.

a.n.

a.n.

a.D

E94

DO

lden

burg

, Lan

dkre

isN

UTS

3(1

) PR

71.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

94E

Osn

abrü

ck, L

andk

reis

NU

TS 3

(2) I

R79

.0n.

a.6.

4n.

a.n.

a.n.

a.D

E94

FV

echt

aN

UTS

3(2

) IR

106.

3n.

a.n.

a.n.

a.n.

a.n.

a.D

E94

GW

eser

mar

sch

NU

TS 3

(2) I

R10

1.9

n.a.

n.a.

n.a.

n.a.

n.a.

DE

94H

Witt

mun

dN

UTS

3(1

) PR

73.2

n.a.

n.a.

n.a.

n.a.

n.a.

DEA

1D

üsse

ldor

fN

UTS

2(3

) PU

123.

561

.69.

715

8.1

2003

32.8

2003

122

dea

DE

A11

Düs

seld

orf,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U27

6.5

n.a.

9.7

n.a.

n.a.

n.a.

DE

A12

Dui

sbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

101.

8n.

a.13

.2n.

a.n.

a.n.

a.D

EA

13E

ssen

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U13

2.5

n.a.

11.5

n.a.

n.a.

n.a.

DE

A14

Kre

feld

, Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

125.

4n.

a.11

.3n.

a.n.

a.n.

a.D

EA

15M

önch

engl

adba

ch, K

reis

freie

Sta

dtN

UTS

3(3

) PU

107.

6n.

a.11

.6n.

a.n.

a.n.

a.D

EA

16M

ülhe

im a

n de

r Ruh

r, K

reis

freie

Sta

dtN

UTS

3(3

) PU

111.

8n.

a.8.

7u

n.a.

n.a.

n.a.

DE

A17

Obe

rhau

sen,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U83

.4n.

a.11

.7n.

a.n.

a.n.

a.D

EA

18R

emsc

heid

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U11

5.0

n.a.

9.1

un.

a.n.

a.n.

a.D

EA

19S

olin

gen,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

91.2

n.a.

9.1

un.

a.n.

a.n.

a.D

EA

1AW

uppe

rtal,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U11

4.0

n.a.

11.1

n.a.

n.a.

n.a.

DE

A1B

Kle

veN

UTS

3(3

) PU

88.6

n.a.

7.6

n.a.

n.a.

n.a.

DE

A1C

Met

tman

nN

UTS

3(3

) PU

104.

3n.

a.7.

2n.

a.n.

a.n.

a.D

EA

1DN

euss

NU

TS 3

(3) P

U11

8.4

n.a.

7.7

n.a.

n.a.

n.a.

DE

A1E

Vie

rsen

NU

TS 3

(3) P

U89

.1n.

a.7.

8n.

a.n.

a.n.

a.D

EA

1FW

esel

NU

TS 3

(3) P

U73

.1n.

a.8.

3n.

a.n.

a.n.

a.D

EA2

Köl

nN

UTS

2(3

) PU

118.

061

.88.

111

9.8

2003

33.4

2003

122

dea

DE

A21

Aac

hen,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

142.

0n.

a.9.

8n.

a.n.

a.n.

a.D

EA

22B

onn,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

163.

6n.

a.6.

6n.

a.n.

a.n.

a.D

EA

23K

öln,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U17

9.3

n.a.

10.1

n.a.

n.a.

n.a.

DE

A24

Leve

rkus

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

166.

0n.

a.8.

5u

n.a.

n.a.

n.a.

DE

A25

Aac

hen,

Lan

dkre

isN

UTS

3(3

) PU

76.4

n.a.

8.7

n.a.

n.a.

n.a.

DE

A26

Dür

enN

UTS

3(3

) PU

92.3

n.a.

8.2

n.a.

n.a.

n.a.

DE

A27

Erft

krei

sN

UTS

3(3

) PU

98.0

n.a.

7.4

n.a.

n.a.

n.a.

DE

A28

Eus

kirc

hen

NU

TS 3

(2) I

R82

.1n.

a.7.

0u

n.a.

n.a.

n.a.

DE

A29

Hei

nsbe

rgN

UTS

3(3

) PU

68.0

n.a.

8.4

n.a.

n.a.

n.a.

DE

A2A

Obe

rber

gisc

her K

reis

NU

TS 3

(3) P

U98

.3n.

a.7.

5n.

a.n.

a.n.

a.D

EA

2BR

hein

isch

-Ber

gisc

her-

Kre

isN

UTS

3(3

) PU

83.8

n.a.

7.1

n.a.

n.a.

n.a.

DE

A2C

Rhe

in-S

ieg-

Kre

isN

UTS

3(3

) PU

77.5

n.a.

5.8

n.a.

n.a.

n.a.

DEA

3M

ünst

erN

UTS

2(3

) PU

91.3

61.8

8.6

199.

720

0333

.720

0312

2de

aD

EA

31B

ottro

p, K

reis

freie

Sta

dtN

UTS

3(3

) PU

65.5

n.a.

11.1

un.

a.n.

a.n.

a.D

EA

32G

else

nkirc

hen,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U10

1.2

n.a.

15.3

n.a.

n.a.

n.a.

DE

A33

Mün

ster

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U15

7.8

n.a.

7.3

n.a.

n.a.

n.a.

DE

A34

Bor

ken

NU

TS 3

(3) P

U96

.6n.

a.6.

7n.

a.n.

a.n.

a.D

EA

35C

oesf

eld

NU

TS 3

(2) I

R77

.0n.

a.6.

2u

n.a.

n.a.

n.a.

DE

A36

Rec

klin

ghau

sen

NU

TS 3

(3) P

U71

.6n.

a.10

.5n.

a.n.

a.n.

a.D

EA

37S

tein

furt

NU

TS 3

(3) P

U85

.1n.

a.6.

2n.

a.n.

a.n.

a.D

EA

38W

aren

dorf

NU

TS 3

(2) I

R89

.1n.

a.6.

9n.

a.n.

a.n.

a.DE

A4D

etm

old

NUT

S 2

(3) P

U10

7.4

65.5

9.2

126.

520

0333

.420

0312

2de

aD

EA

41B

iele

feld

, Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

127.

3n.

a.12

.6n.

a.n.

a.n.

a.D

EA

42G

üter

sloh

NU

TS 3

(3) P

U12

0.8

n.a.

8.1

n.a.

n.a.

n.a.

DE

A43

Her

ford

NU

TS 3

(3) P

U10

8.3

n.a.

8.1

n.a.

n.a.

n.a.

DE

A44

Höx

ter

NU

TS 3

(2) I

R79

.5n.

a.8.

0u

n.a.

n.a.

n.a.

DE

A45

Lipp

eN

UTS

3(3

) PU

93.4

n.a.

9.3

n.a.

n.a.

n.a.

DE

A46

Min

den-

Lübb

ecke

NU

TS 3

(2) I

R10

9.4

n.a.

8.7

n.a.

n.a.

n.a.

DE

A47

Pad

erbo

rnN

UTS

3(2

) IR

98.8

n.a.

8.5

n.a.

n.a.

n.a.

Eur

osta

tE

uros

tat

Eur

osta

t

(Obj

ectiv

e 7)

- G

FCF

in A

gric

ultu

re

Obj

ectiv

e 8

- Em

ploy

men

t D

evel

opm

ent o

f Prim

ary

Sect

orO

bjec

tive

1 - E

cono

mic

D

evel

opm

ent

Obj

ectiv

e 2

- Em

ploy

men

t R

ate

Obj

ectiv

e 3

- U

nem

ploy

men

tO

bjec

tive

7 - G

FCF

in A

gric

ultu

re

GD

P(in

pps

)/cap

ita (E

U-

25=1

00)

Em

ploy

ed p

erso

ns/to

tal

popu

latio

n (1

5_64

y.o

.)U

nem

ploy

men

t rat

e (%

ac

tive

popu

latio

n)G

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

reG

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

re a

s a

shar

e of

Gro

ss V

alue

E

mpl

oym

ent d

evel

opm

ent o

f prim

ary

sect

or (=

A)

Eur

osta

tE

uros

tat

Eur

osta

tN

atio

nal A

ccou

nts

Labo

ur F

orce

Sur

vey

Labo

ur F

orce

Sur

vey

Agr

icul

tura

l Acc

ount

sA

gric

ultu

ral A

ccou

nts

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)av

erag

e 20

00 to

200

220

0420

04V

ario

us ,

see

flag

Var

ious

, se

e fla

g20

02(2

001

for H

U, U

K)

in

dex

of p

ps%

%M

illio

n eu

ros

%Th

ousa

nds

peop

le e

mpl

oyed

(in

A)

DG

AG

RI-G

2D

G A

GR

I-G2

DG

AG

RI-G

2

202

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DEA

5Ar

nsbe

rgN

UTS

2(3

) PU

101.

260

.210

.674

.720

0334

.420

0312

2de

aD

EA

51B

ochu

m, K

reis

freie

Sta

dtN

UTS

3(3

) PU

121.

9n.

a.11

.7n.

a.n.

a.n.

a.D

EA

52D

ortm

und,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U11

4.3

n.a.

14.6

n.a.

n.a.

n.a.

DE

A53

Hag

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

113.

7n.

a.11

.6n.

a.n.

a.n.

a.D

EA

54H

amm

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U80

.6n.

a.12

.6n.

a.n.

a.n.

a.D

EA

55H

erne

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U71

.8n.

a.14

.4n.

a.n.

a.n.

a.D

EA

56E

nnep

e-R

uhr-

Kre

isN

UTS

3(3

) PU

86.8

n.a.

8.9

n.a.

n.a.

n.a.

DE

A57

Hoc

hsau

erla

ndkr

eis

NU

TS 3

(1) P

R10

0.7

n.a.

7.8

n.a.

n.a.

n.a.

DE

A58

Mär

kisc

her K

reis

NU

TS 3

(3) P

U10

5.7

n.a.

8.9

n.a.

n.a.

n.a.

DE

A59

Olp

eN

UTS

3(3

) PU

106.

9n.

a.n.

a.n.

a.n.

a.n.

a.D

EA

5AS

iege

n-W

ittge

nste

inN

UTS

3(2

) IR

113.

4n.

a.7.

8n.

a.n.

a.n.

a.D

EA

5BS

oest

NU

TS 3

(2) I

R10

0.9

n.a.

9.0

n.a.

n.a.

n.a.

DE

A5C

Unn

aN

UTS

3(3

) PU

76.0

n.a.

11.5

n.a.

n.a.

n.a.

DEB

1K

oble

nzN

UTS

2(2

) IR

92.1

65.2

7.2

n.a.

2003

n.a.

2003

53.7

deb

DE

B11

Kob

lenz

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U21

0.1

n.a.

n.a.

n.a.

n.a.

n.a.

DE

B12

Ahr

wei

ler

NU

TS 3

(2) I

R69

.5n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

13A

ltenk

irche

n (W

este

rwal

d)N

UTS

3(2

) IR

75.7

n.a.

n.a.

n.a.

n.a.

n.a.

DE

B14

Bad

Kre

uzna

chN

UTS

3(2

) IR

84.6

n.a.

8.4

un.

a.n.

a.n.

a.D

EB

15B

irken

feld

NU

TS 3

(2) I

R80

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

16C

oche

m-Z

ell

NU

TS 3

(1) P

R79

.5n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

17M

ayen

-Kob

lenz

NU

TS 3

(2) I

R88

.1n.

a.7.

0u

n.a.

n.a.

n.a.

DE

B18

Neu

wie

dN

UTS

3(3

) PU

92.3

n.a.

8.2

un.

a.n.

a.n.

a.D

EB

19R

hein

-Hun

srüc

k-K

reis

NU

TS 3

(1) P

R92

.4n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

1AR

hein

-Lah

n-K

reis

NU

TS 3

(2) I

R71

.3n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

1BW

este

rwal

dkre

isN

UTS

3(2

) IR

87.3

n.a.

6.1

un.

a.n.

a.n.

a.D

EB2

Trie

rN

UTS

2(2

) IR

87.4

65.2

5.7

n.a.

2003

n.a.

2003

53.7

deb

DE

B21

Trie

r, K

reis

freie

Sta

dtN

UTS

3(3

) PU

141.

0n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

22B

ernk

aste

l-Witt

lich

NU

TS 3

(1) P

R84

.2n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

23B

itbur

g-P

rüm

NU

TS 3

(1) P

R79

.3n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

24D

aun

NU

TS 3

(1) P

R80

.5n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

25Tr

ier-

Saa

rbur

gN

UTS

3(2

) IR

60.1

n.a.

n.a.

n.a.

n.a.

n.a.

DEB

3R

hein

hess

en-P

falz

NU

TS 2

(3) P

U10

4.9

64.6

6.8

n.a.

2003

n.a.

2003

53.7

deb

DE

B31

Fran

kent

hal (

Pfa

lz),

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

105.

8n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

32K

aise

rsla

uter

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

141.

0n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

33La

ndau

in d

er P

falz

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U13

1.0

n.a.

n.a.

n.a.

n.a.

n.a.

DE

B34

Ludw

igsh

afen

am

Rhe

in, K

reis

freie

Sta

dtN

UTS

3(3

) PU

229.

2n.

a.9.

4u

n.a.

n.a.

n.a.

DE

B35

Mai

nz, K

reis

frei

e S

tadt

NU

TS 3

(3) P

U19

6.3

n.a.

6.7

un.

a.n.

a.n.

a.D

EB

36N

eust

adt a

n de

r Wei

nstra

ße, K

reis

frei

e S

tadt

NU

TS 3

(3) P

U94

.3n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

37P

irmas

ens,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U12

8.8

n.a.

n.a.

n.a.

n.a.

n.a.

DE

B38

Spe

yer,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U13

6.3

n.a.

n.a.

n.a.

n.a.

n.a.

DE

B39

Wor

ms,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U10

1.3

n.a.

n.a.

n.a.

n.a.

n.a.

DE

B3A

Zwei

brüc

ken,

Kre

isfr

eie

Sta

dtN

UTS

3(3

) PU

121.

6n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3BA

lzey

-Wor

ms

NU

TS 3

(2) I

R69

.8n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3CB

ad D

ürkh

eim

NU

TS 3

(3) P

U68

.4n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3DD

onne

rsbe

rgkr

eis

NU

TS 3

(2) I

R69

.9n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3EG

erm

ersh

eim

NU

TS 3

(2) I

R98

.6n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3FK

aise

rsla

uter

n, L

andk

reis

NU

TS 3

(2) I

R56

.2n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3GK

usel

NU

TS 3

(2) I

R56

.0n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3HS

üdlic

he W

eins

traße

NU

TS 3

(2) I

R70

.6n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3ILu

dwig

shaf

en, L

andk

reis

NU

TS 3

(3) P

U50

.0n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3JM

ainz

-Bin

gen

NU

TS 3

(3) P

U82

.1n.

a.n.

a.n.

a.n.

a.n.

a.D

EB

3KS

üdw

estp

falz

NU

TS 3

(1) P

R48

.8n.

a.n.

a.n.

a.n.

a.n.

a.T2

000X

TS

aarla

ndN

UTS

2(3

) PU

103.

261

.98.

59.

620

0326

.320

034.

2de

c

T200

1XT

Saa

rbrü

cken

, Sta

dtve

rban

dN

UTS

3(3

) PU

130.

4n.

a.10

.5n.

a.n.

a.n.

a.T2

002X

TM

erzi

g-W

ader

nN

UTS

3(3

) PU

75.0

n.a.

n.a.

n.a.

n.a.

n.a.

T200

3XT

Neu

nkirc

hen

NU

TS 3

(3) P

U75

.6n.

a.9.

1u

n.a.

n.a.

n.a.

T200

4XT

Saa

rloui

sN

UTS

3(3

) PU

93.3

n.a.

7.1

un.

a.n.

a.n.

a.T2

005X

TS

aarp

falz

-Kre

isN

UTS

3(3

) PU

112.

7n.

a.7.

6u

n.a.

n.a.

n.a.

T200

6XT

San

kt W

ende

lN

UTS

3(2

) IR

84.1

n.a.

n.a.

n.a.

n.a.

n.a.

DED

1C

hem

nitz

NU

TS 2

(2) I

R69

.660

.818

.270

.520

0331

.420

0349

.3de

dD

ED

11C

hem

nitz

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U95

.2n.

a.18

.2n.

a.n.

a.n.

a.D

ED

12P

laue

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

80.7

n.a.

17.7

un.

a.n.

a.n.

a.D

ED

13Zw

icka

u, K

reis

freie

Sta

dtN

UTS

3(3

) PU

120.

1n.

a.19

.5n.

a.n.

a.n.

a.D

ED

14A

nnab

erg

NU

TS 3

(2) I

R57

.5n.

a.18

.7n.

a.n.

a.n.

a.D

ED

15C

hem

nitz

er L

and

NU

TS 3

(3) P

U71

.3n.

a.17

.8n.

a.n.

a.n.

a.D

ED

16Fr

eibe

rgN

UTS

3(2

) IR

63.9

n.a.

17.3

n.a.

n.a.

n.a.

DE

D17

Vog

tland

krei

sN

UTS

3(2

) IR

60.8

n.a.

16.1

n.a.

n.a.

n.a.

DE

D18

Mitt

lere

r Erz

gebi

rgsk

reis

NU

TS 3

(2) I

R49

.3n.

a.19

.3n.

a.n.

a.n.

a.D

ED

19M

ittw

eida

NU

TS 3

(2) I

R61

.8n.

a.18

.4n.

a.n.

a.n.

a.

Obj

ectiv

e 1

- Eco

nom

ic

Dev

elop

men

tO

bjec

tive

2 - E

mpl

oym

ent

Rat

eO

bjec

tive

3 -

Une

mpl

oym

ent

Obj

ectiv

e 7

- GFC

F in

Agr

icul

ture

(O

bjec

tive

7) -

GFC

F in

Agr

icul

ture

O

bjec

tive

8 - E

mpl

oym

ent

Dev

elop

men

t of P

rimar

y Se

ctor

GD

P(in

pps

)/cap

ita (E

U-

25=1

00)

Em

ploy

ed p

erso

ns/to

tal

popu

latio

n (1

5_64

y.o

.)U

nem

ploy

men

t rat

e (%

ac

tive

popu

latio

n)G

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

reG

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

re a

s a

shar

e of

Gro

ss V

alue

E

mpl

oym

ent d

evel

opm

ent o

f prim

ary

sect

or (=

A)

Eur

osta

tE

uros

tat

Eur

osta

tE

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tat

Eur

osta

tE

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tat

Nat

iona

l Acc

ount

sLa

bour

For

ce S

urve

yLa

bour

For

ce S

urve

yA

gric

ultu

ral A

ccou

nts

Agr

icul

tura

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

aver

age

2000

to 2

002

2004

2004

Var

ious

, se

e fla

gV

ario

us ,

see

flag

2002

(200

1 fo

r HU

, UK

)

inde

x of

pps

%%

Mill

ion

euro

s%

Thou

sand

s pe

ople

em

ploy

ed (i

n A

)

DG

AG

RI-G

2D

G A

GR

I-G2

DG

AG

RI-G

2

203

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

D1A

Sto

llber

gN

UTS

3(3

) PU

53.1

n.a.

17.5

n.a.

n.a.

n.a.

DE

D1B

Aue

-Sch

war

zenb

erg

NU

TS 3

(2) I

R57

.1n.

a.20

.6n.

a.n.

a.n.

a.D

ED

1CZw

icka

uer L

and

NU

TS 3

(3) P

U49

.0n.

a.18

.8n.

a.n.

a.n.

a.D

ED2

Dre

sden

NU

TS 2

(2) I

R75

.061

.117

.779

.620

0332

.220

0349

.3de

dD

ED

21D

resd

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

106.

6n.

a.14

.4n.

a.n.

a.n.

a.D

ED

22G

örlit

z, K

reis

freie

Sta

dtN

UTS

3(3

) PU

66.9

n.a.

25.2

un.

a.n.

a.n.

a.D

ED

23H

oyer

swer

da, K

reis

freie

Sta

dtN

UTS

3(3

) PU

62.3

n.a.

24.4

un.

a.n.

a.n.

a.D

ED

24B

autz

enN

UTS

3(2

) IR

66.0

n.a.

19.9

n.a.

n.a.

n.a.

DE

D25

Mei

ssen

NU

TS 3

(2) I

R71

.3n.

a.15

.6n.

a.n.

a.n.

a.D

ED

26N

iede

rsch

lesi

sche

r Obe

rlaus

itzkr

eis

NU

TS 3

(1) P

R51

.0n.

a.22

.0n.

a.n.

a.n.

a.D

ED

27R

iesa

-Gro

ßenh

ain

NU

TS 3

(2) I

R72

.0n.

a.19

.8n.

a.n.

a.n.

a.D

ED

28Lö

bau-

Zitta

uN

UTS

3(2

) IR

54.0

n.a.

23.3

n.a.

n.a.

n.a.

DE

D29

Säc

hsis

che

Sch

wei

zN

UTS

3(2

) IR

56.2

n.a.

17.1

n.a.

n.a.

n.a.

DE

D2A

Wei

ßerit

zkre

isN

UTS

3(2

) IR

57.2

n.a.

14.6

n.a.

n.a.

n.a.

DE

D2B

Kam

enz

NU

TS 3

(2) I

R68

.5n.

a.16

.8n.

a.n.

a.n.

a.D

ED3

Leip

zig

NU

TS 2

(2) I

R77

.158

.819

.368

2003

30.3

2003

49.3

ded

DE

D31

Leip

zig,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U94

.3n.

a.19

.5n.

a.n.

a.n.

a.D

ED

32D

elitz

sch

NU

TS 3

(2) I

R73

.1n.

a.19

.0n.

a.n.

a.n.

a.D

ED

33D

öbel

nN

UTS

3(2

) IR

62.5

n.a.

20.2

un.

a.n.

a.n.

a.D

ED

34Le

ipzi

ger L

and

NU

TS 3

(2) I

R55

.1n.

a.20

.2n.

a.n.

a.n.

a.D

ED

35M

ulde

ntal

krei

sN

UTS

3(2

) IR

62.2

n.a.

18.0

n.a.

n.a.

n.a.

DE

D36

Torg

au-O

scha

tzN

UTS

3(1

) PR

62.8

n.a.

19.2

n.a.

n.a.

n.a.

DEE

1D

essa

uN

UTS

2(2

) IR

66.0

57.3

22.9

37.6

2003

28.6

2003

35.4

dee

DE

E11

Des

sau,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

U84

.7n.

a.21

.6n.

a.n.

a.n.

a.D

EE

12A

nhal

t-Zer

bst

NU

TS 3

(2) I

R59

.2n.

a.19

.4u

n.a.

n.a.

n.a.

DE

E13

Ber

nbur

gN

UTS

3(2

) IR

67.2

n.a.

22.3

un.

a.n.

a.n.

a.D

EE

14B

itter

feld

NU

TS 3

(2) I

R68

.0n.

a.24

.8n.

a.n.

a.n.

a.D

EE

15K

öthe

nN

UTS

3(2

) IR

53.7

n.a.

26.4

n.a.

n.a.

n.a.

DE

E16

Witt

enbe

rgN

UTS

3(1

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62.5

n.a.

22.6

n.a.

n.a.

n.a.

DEE

2H

alle

NU

TS 2

(2) I

R75

.155

.723

.461

.320

0327

.620

0335

.4de

eD

EE

21H

alle

/Saa

le, S

tadt

krei

sN

UTS

3(3

) PU

90.2

n.a.

21.8

n.a.

n.a.

n.a.

DE

E22

Bur

genl

andk

reis

NU

TS 3

(2) I

R66

.5n.

a.25

.2n.

a.n.

a.n.

a.D

EE

23M

ansf

elde

r Lan

dN

UTS

3(2

) IR

56.7

n.a.

27.4

n.a.

n.a.

n.a.

DE

E24

Mer

sebu

rg-Q

uerf

urt

NU

TS 3

(2) I

R93

.1n.

a.24

.4n.

a.n.

a.n.

a.D

EE

25S

aalk

reis

NU

TS 3

(2) I

R64

.6n.

a.15

.8u

n.a.

n.a.

n.a.

DE

E26

San

gerh

ause

nN

UTS

3(1

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58.6

n.a.

26.3

n.a.

n.a.

n.a.

DE

E27

Wei

ßenf

els

NU

TS 3

(2) I

R62

.2n.

a.24

.2n.

a.n.

a.n.

a.D

EE3

Mag

debu

rgN

UTS

2(2

) IR

72.3

60.5

19.9

118.

720

0328

.620

0335

.4de

eD

EE

31M

agde

burg

, Kre

isfre

ie S

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a.n.

a.n.

a.IT

E42

Rie

tiN

UTS

3(1

) PR

90.0

n.a.

7.8

n.a.

n.a.

n.a.

ITE

43R

oma

NU

TS 3

(3) P

U13

7.3

n.a.

7.5

n.a.

n.a.

n.a.

ITE

44La

tina

NU

TS 3

(2) I

R10

4.3

n.a.

8.8

n.a.

n.a.

n.a.

ITE

45Fr

osin

one

NU

TS 3

(2) I

R93

.8n.

a.10

.7n.

a.n.

a.n.

a.IT

F1Ab

ruzz

oN

UTS

2(2

) IR

92.9

56.5

7.9

n.a.

n.a.

27.3

ITF1

1L'

Aqu

ilaN

UTS

3(1

) PR

87.0

n.a.

8.4

n.a.

n.a.

n.a.

ITF1

2Te

ram

oN

UTS

3(2

) IR

95.0

n.a.

6.1

n.a.

n.a.

n.a.

ITF1

3P

esca

raN

UTS

3(2

) IR

95.5

n.a.

8.4

n.a.

n.a.

n.a.

ITF1

4C

hiet

iN

UTS

3(2

) IR

94.0

n.a.

8.6

n.a.

n.a.

n.a.

ITF2

Mol

ise

NU

TS 2

(1) P

R85

.252

.111

.3n.

a.n.

a.10

.2IT

F21

Iser

nia

NU

TS 3

(1) P

R89

.2n.

a.10

.2n.

a.n.

a.n.

a.IT

F22

Cam

poba

sso

NU

TS 3

(1) P

R83

.6n.

a.11

.8n.

a.n.

a.n.

a.IT

F3C

ampa

nia

NU

TS 2

(3) P

U71

.845

.315

.6n.

a.n.

a.11

3.5

ITF3

1C

aser

taN

UTS

3(2

) IR

69.4

n.a.

12.2

n.a.

n.a.

n.a.

ITF3

2B

enev

ento

NU

TS 3

(2) I

R69

.5n.

a.12

.8n.

a.n.

a.n.

a.IT

F33

Nap

oli

NU

TS 3

(3) P

U70

.6n.

a.18

.9n.

a.n.

a.n.

a.IT

F34

Ave

llino

NU

TS 3

(2) I

R77

.5n.

a.11

.2n.

a.n.

a.n.

a.IT

F35

Sal

erno

NU

TS 3

(2) I

R75

.3n.

a.11

.7n.

a.n.

a.n.

a.IT

F4Pu

glia

NU

TS 2

(2) I

R72

.545

.315

.5n.

a.n.

a.13

7.3

ITF4

1Fo

ggia

NU

TS 3

(1) P

R66

.3n.

a.19

.3n.

a.n.

a.n.

a.IT

F42

Bar

iN

UTS

3(3

) PU

77.6

n.a.

14.7

n.a.

n.a.

n.a.

ITF4

3Ta

rant

oN

UTS

3(2

) IR

74.4

n.a.

14.0

n.a.

n.a.

n.a.

ITF4

4B

rindi

siN

UTS

3(3

) PU

72.3

n.a.

16.1

n.a.

n.a.

n.a.

ITF4

5Le

cce

NU

TS 3

(3) P

U66

.6n.

a.14

.7n.

a.n.

a.n.

a.IT

F5B

asili

cata

NU

TS 2

(1) P

R77

.549

.412

.8n.

a.n.

a.20

ITF5

1P

oten

zaN

UTS

3(1

) PR

78.4

n.a.

12.3

n.a.

n.a.

n.a.

ITF5

2M

ater

aN

UTS

3(1

) PR

75.9

n.a.

13.8

n.a.

n.a.

n.a.

ITF6

Cal

abria

NU

TS 2

(2) I

R67

.946

.214

.3n.

a.n.

a.97

.6IT

F61

Cos

enza

NU

TS 3

(2) I

R67

.7n.

a.10

.8n.

a.n.

a.n.

a.IT

F62

Cro

tone

NU

TS 3

(1) P

R61

.0n.

a.16

.4n.

a.n.

a.n.

a.IT

F63

Cat

anza

roN

UTS

3(2

) IR

76.4

n.a.

13.1

n.a.

n.a.

n.a.

ITF6

4V

ibo

Val

entia

NU

TS 3

(2) I

R64

.2n.

a.12

.5n.

a.n.

a.n.

a.IT

F65

Reg

gio

di C

alab

riaN

UTS

3(2

) IR

66.0

n.a.

19.2

n.a.

n.a.

n.a.

ITG

1Si

cilia

NU

TS 2

(2) I

R72

.043

.417

.2n.

a.n.

a.12

4.1

ITG

11Tr

apan

iN

UTS

3(2

) IR

69.8

n.a.

15.8

n.a.

n.a.

n.a.

ITG

12P

aler

mo

NU

TS 3

(2) I

R71

.0n.

a.20

.3n.

a.n.

a.n.

a.IT

G13

Mes

sina

NU

TS 3

(2) I

R78

.1n.

a.16

.1n.

a.n.

a.n.

a.IT

G14

Agr

igen

toN

UTS

3(2

) IR

61.5

n.a.

20.4

n.a.

n.a.

n.a.

ITG

15C

alta

niss

etta

NU

TS 3

(2) I

R66

.3n.

a.20

.4n.

a.n.

a.n.

a.IT

G16

Enn

aN

UTS

3(1

) PR

62.8

n.a.

21.6

n.a.

n.a.

n.a.

ITG

17C

atan

iaN

UTS

3(2

) IR

71.9

n.a.

15.0

n.a.

n.a.

n.a.

Obj

ectiv

e 1

- Eco

nom

ic

Dev

elop

men

tO

bjec

tive

2 - E

mpl

oym

ent

Rat

eO

bjec

tive

3 -

Une

mpl

oym

ent

Obj

ectiv

e 7

- GFC

F in

Agr

icul

ture

(O

bjec

tive

7) -

GFC

F in

Agr

icul

ture

O

bjec

tive

8 - E

mpl

oym

ent

Dev

elop

men

t of P

rimar

y Se

ctor

GD

P(in

pps

)/cap

ita (E

U-

25=1

00)

Em

ploy

ed p

erso

ns/to

tal

popu

latio

n (1

5_64

y.o

.)U

nem

ploy

men

t rat

e (%

ac

tive

popu

latio

n)G

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

reG

ross

Fix

ed C

apita

l For

mat

ion

in

agric

ultu

re a

s a

shar

e of

Gro

ss V

alue

E

mpl

oym

ent d

evel

opm

ent o

f prim

ary

sect

or (=

A)

Eur

osta

tE

uros

tat

Eur

osta

tE

uros

tat

Eur

osta

tE

uros

tat

Nat

iona

l Acc

ount

sLa

bour

For

ce S

urve

yLa

bour

For

ce S

urve

yA

gric

ultu

ral A

ccou

nts

Agr

icul

tura

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

aver

age

2000

to 2

002

2004

2004

Var

ious

, se

e fla

gV

ario

us ,

see

flag

2002

(200

1 fo

r HU

, UK

)

inde

x of

pps

%%

Mill

ion

euro

s%

Thou

sand

s pe

ople

em

ploy

ed (i

n A

)

DG

AG

RI-G

2D

G A

GR

I-G2

DG

AG

RI-G

2

210

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

ITG

18R

agus

aN

UTS

3(3

) PU

78.8

n.a.

8.0

n.a.

n.a.

n.a.

ITG

19S

iracu

saN

UTS

3(2

) IR

82.3

n.a.

17.7

n.a.

n.a.

n.a.

ITG

2Sa

rdeg

naN

UTS

2(1

) PR

82.6

51.3

13.9

n.a.

n.a.

43.5

ITG

21S

assa

riN

UTS

3(1

) PR

88.0

n.a.

13.6

n.a.

n.a.

n.a.

ITG

22N

uoro

NU

TS 3

(1) P

R79

.6n.

a.10

.2n.

a.n.

a.n.

a.IT

G23

Oris

tano

NU

TS 3

(1) P

R78

.9n.

a.11

.4n.

a.n.

a.n.

a.IT

G24

Cag

liari

NU

TS 3

(2) I

R81

.3n.

a.15

.8n.

a.n.

a.n.

a.C

Y00

Cyp

rus

NU

TS 2

(2) I

R85

.768

.94.

9b

70.1

920

0316

.620

0323

CY

000

Cyp

rus

NU

TS 3

(2) I

R85

.7n.

a.4.

9n.

a.n.

a.n.

a.LV

00La

tvia

NU

TS 2

(2) I

R37

.362

.310

.496

.838

920

03n.

a.20

0314

0.4

2001

LV00

3K

urze

me

NU

TS 3

(2) I

R33

.8n.

a.10

.6n.

a.n.

a.n.

a.LV

005

Latg

ale

NU

TS 3

(2) I

R19

.3n.

a.12

.7n.

a.n.

a.n.

a.LV

006

Rig

aN

UTS

3(3

) PU

65.4

n.a.

10.3

n.a.

n.a.

n.a.

LV00

7P

ierig

aN

UTS

3(1

) PR

25.0

n.a.

9.0

n.a.

n.a.

n.a.

LV00

8V

idze

me

NU

TS 3

(1) P

R21

.1n.

a.9.

4n.

a.n.

a.n.

a.LV

009

Zem

gale

NU

TS 3

(1) P

R21

.3n.

a.10

.8n.

a.n.

a.n.

a.LT

00Li

thua

nia

NU

TS 2

(1) P

R40

.661

.211

.420

2.22

2003

48.1

2003

249.

8LT

001

Aly

taus

(Aps

kriti

s)N

UTS

3(1

) PR

32.3

n.a.

16.0

n.a.

n.a.

n.a.

LT00

2K

auno

(Aps

kriti

s)N

UTS

3(2

) IR

38.9

n.a.

10.3

n.a.

n.a.

n.a.

LT00

3K

laip

edos

(Aps

kriti

s)N

UTS

3(2

) IR

44.8

n.a.

12.7

n.a.

n.a.

n.a.

LT00

4M

arija

mpo

les

(Aps

kriti

s)N

UTS

3(1

) PR

27.9

n.a.

6.9

un.

a.n.

a.n.

a.LT

005

Pan

evez

io (A

pskr

itis)

NU

TS 3

(1) P

R35

.9n.

a.12

.6n.

a.n.

a.n.

a.LT

006

Sia

uliu

(Aps

kriti

s)N

UTS

3(1

) PR

30.5

n.a.

12.7

n.a.

n.a.

n.a.

LT00

7Ta

urag

es (A

pskr

itis)

NU

TS 3

(1) P

R24

.3n.

a.8.

9u

n.a.

n.a.

n.a.

LT00

8Te

lsiu

(Aps

kriti

s)N

UTS

3(1

) PR

34.6

n.a.

10.3

n.a.

n.a.

n.a.

LT00

9U

teno

s (A

pskr

itis)

NU

TS 3

(1) P

R33

.8n.

a.12

.3n.

a.n.

a.n.

a.LT

00A

Viln

iaus

(Aps

kriti

s)N

UTS

3(2

) IR

56.0

n.a.

11.1

n.a.

n.a.

n.a.

LU00

Luxe

mbo

urg

(Gra

nd-D

uché

)N

UTS

2(2

) IR

214.

661

.64.

865

.097

2003

44.1

2003

4LU

000

Luxe

mbo

urg

(Gra

nd-D

uché

)N

UTS

3(2

) IR

214.

6n.

a.4.

8n.

a.n.

a.n.

a.H

U10

Köz

ép-M

agya

rors

zág

NU

TS 2

(3) P

U89

.762

.94.

5n.

a.n.

a.23

.820

01H

U10

1B

udap

est

NU

TS 3

(3) P

U11

6.1

n.a.

4.4

n.a.

n.a.

n.a.

HU

102

Pes

tN

UTS

3(2

) IR

47.4

n.a.

4.7

n.a.

n.a.

n.a.

HU

21K

özép

-Dun

ántú

lN

UTS

2(2

) IR

52.3

60.3

5.6

n.a.

n.a.

29.2

2001

HU

211

Fejé

rN

UTS

3(1

) PR

58.9

n.a.

6.4

n.a.

n.a.

n.a.

HU

212

Kom

árom

-Esz

terg

omN

UTS

3(2

) IR

50.5

n.a.

5.2

n.a.

n.a.

n.a.

HU

213

Ves

zpré

mN

UTS

3(2

) IR

46.3

n.a.

5.0

n.a.

n.a.

n.a.

HU

22N

yuga

t-Dun

ántú

lN

UTS

2(2

) IR

60.4

61.4

4.6

n.a.

n.a.

25.2

2001

HU

221

Gyo

r-M

oson

-Sop

ron

NU

TS 3

(2) I

R69

.8n.

a.3.

8n.

a.n.

a.n.

a.H

U22

2V

asN

UTS

3(2

) IR

58.7

n.a.

5.8

n.a.

n.a.

n.a.

HU

223

Zala

NU

TS 3

(1) P

R48

.2n.

a.4.

7n.

a.n.

a.n.

a.H

U23

Dél

-Dun

ántú

lN

UTS

2(1

) PR

41.4

52.3

7.3

n.a.

n.a.

36.2

2001

HU

231

Bar

anya

NU

TS 3

(2) I

R41

.8n.

a.7.

9n.

a.n.

a.n.

a.H

U23

2S

omog

yN

UTS

3(1

) PR

38.3

n.a.

6.1

n.a.

n.a.

n.a.

HU

233

Toln

aN

UTS

3(1

) PR

44.7

n.a.

7.7

n.a.

n.a.

n.a.

HU

31És

zak-

Mag

yaro

rszá

gN

UTS

2(2

) IR

36.1

50.6

9.7

n.a.

n.a.

21.7

2001

HU

311

Bor

sod-

Aba

új-Z

empl

énN

UTS

3(2

) IR

35.5

n.a.

10.9

n.a.

n.a.

n.a.

HU

312

Hev

esN

UTS

3(1

) PR

41.0

n.a.

7.3

n.a.

n.a.

n.a.

HU

313

Nóg

rád

NU

TS 3

(1) P

R30

.8n.

a.9.

4n.

a.n.

a.n.

a.H

U32

Észa

k-Al

föld

NU

TS 2

(1) P

R36

.350

.47.

2n.

a.n.

a.43

.820

01H

U32

1H

ajdú

-Bih

arN

UTS

3(1

) PR

40.8

n.a.

5.7

n.a.

n.a.

n.a.

HU

322

Jász

-Nag

ykun

-Szo

lnok

NU

TS 3

(1) P

R38

.2n.

a.6.

2n.

a.n.

a.n.

a.H

U32

3S

zabo

lcs-

Sza

tmár

-Ber

egN

UTS

3(1

) PR

30.7

n.a.

9.5

n.a.

n.a.

n.a.

HU

33D

él-A

lföld

NU

TS 2

(1) P

R39

.453

.66.

3n.

a.n.

a.77

2001

HU

331

Bác

s-K

isku

nN

UTS

3(1

) PR

37.9

n.a.

7.1

n.a.

n.a.

n.a.

HU

332

Bék

ésN

UTS

3(1

) PR

35.9

n.a.

6.5

n.a.

n.a.

n.a.

HU

333

Cso

ngrá

dN

UTS

3(1

) PR

44.7

n.a.

4.9

n.a.

n.a.

n.a.

MT0

0M

alta

NU

TS 2

(3) P

U74

.854

.17.

2-

n.a.

2.6

2001

MT0

01M

alta

NU

TS 3

(3) P

U76

.4n.

a.7.

1n.

a.n.

a.n.

a.M

T002

Goz

o an

d C

omin

o / G

haw

dex

u K

emm

una

NU

TS 3

(3) P

U54

.7n.

a.n.

a.n.

a.n.

a.n.

a.N

L11

Gro

ning

enN

UTS

2(2

) IR

142.

068

.56.

410

4.96

p 20

0036

.5p

2000

7LF

S A_

BN

L111

Oos

t-Gro

ning

enN

UTS

3(2

) IR

73.0

n.a.

7.3

n.a.

n.a.

n.a.

NL1

12D

elfz

ijl e

n om

gevi

ngN

UTS

3(2

) IR

101.

4n.

a.10

.0u

2003

n.a.

n.a.

n.a.

NL1

13O

verig

Gro

ning

enN

UTS

3(2

) IR

177.

3n.

a.6.

2n.

a.n.

a.n.

a.N

L12

Frie

slan

dN

UTS

2(2

) IR

101.

371

.55.

017

2.7

p 20

0027

.9p

2000

11.9

LFS

A_B

NL1

21N

oord

-Frie

slan

dN

UTS

3(2

) IR

109.

2n.

a.4.

3n.

a.n.

a.n.

a.N

L122

Zuid

wes

t-Frie

slan

dN

UTS

3(2

) IR

84.2

n.a.

5.7

un.

a.n.

a.n.

a.N

L123

Zuid

oost

-Frie

slan

dN

UTS

3(1

) PR

97.3

n.a.

5.9

n.a.

n.a.

n.a.

NL1

3D

rent

heN

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NU

TS 3

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NU

TS 3

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69.4

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34.3

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14.8

2001

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M41

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NU

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2002

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2002

35.5

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0.27

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NUTS

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3.32

156.

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8314

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rr. D

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UTS

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1.90

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NU

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hilip

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090.

5075

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haN

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n.a.

n.a.

n.a.

0.50

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699

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CZ02

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dní C

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4.52

303

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490.

3895

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tredo

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UTS

3(2

) IR

n.a.

n.a.

n.a.

n.a.

490.

3895

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CZ03

Jiho

zápa

dNU

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4143

5.7

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534.

5693

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CZ0

31Ji

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NU

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a.n.

a.0.

5827

4.86

92.5

2C

Z032

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ensk

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n.a.

n.a.

n.a.

0.83

259.

7194

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NUTS

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3.02

133.

72.

101.

0048

5.06

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lova

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NU

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3014

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Z042

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NU

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(2) I

Rn.

a.n.

a.n.

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4434

4.84

96.9

9CZ

05Se

vero

vých

odNU

TS 2

(2) I

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1135

3.7

4.00

2.36

681.

7295

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CZ0

51Li

bere

cký

NU

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(2) I

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a.n.

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0419

8.75

97.7

0C

Z052

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love

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NU

TS 3

(2) I

Rn.

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9026

0.51

95.5

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Z053

Par

dubi

cký

NU

TS 3

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Rn.

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a.n.

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0022

2.46

94.7

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06Ji

hový

chod

NUTS

2(2

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5.95

535.

95.

201.

1871

5.66

93.9

8

DG

AG

RI-G

2D

G A

GR

I - G

2D

G A

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I - G

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G A

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G A

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2

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sand

s pe

ople

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ed

2002 %

(200

1 fo

r HU

, UK

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(200

1 fo

r HU

, UK

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(Obj

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) - E

mpl

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ent

Dev

elop

men

t of N

on-A

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ultu

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of

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tota

l em

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men

tE

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s (L

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Obj

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men

t D

evel

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ent o

f Non

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icul

tura

l Se

ctor

Em

ploy

men

t in

seco

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sE

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tat E

cono

mic

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ount

s (L

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r NL,

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ha/y

ear

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ectiv

e 9)

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onom

ic

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lopm

ent o

f Prim

ary

Sect

or

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal G

VA

Obj

ectiv

e 22

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il:

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s at

Ris

k of

Soi

l Er

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nA

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at r

isk

of s

oil

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Eur

osta

tN

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ccou

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2002 %

2002

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ion

euro

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001

for H

U, U

K)

20

02 %

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ectiv

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nom

ic

Dev

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men

t of P

rimar

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Gro

ss V

alue

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ed in

prim

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or (=

A)

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osta

tN

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nal A

ccou

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(Obj

ectiv

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ploy

men

t De

velo

pmen

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ctor

Sha

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f prim

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A) i

n to

tal

empl

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osta

tN

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for N

L, R

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cula

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text

1)

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NU

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6520

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mor

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n.a.

n.a.

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orav

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1.95

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CZ0

71O

lom

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n.a.

n.a.

n.a.

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269.

6694

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CZ0

72Zl

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n.a.

n.a.

n.a.

3.10

264.

3997

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NUTS

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2.26

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61.

921.

1752

8.16

97.6

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avsk

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NU

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1752

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97.6

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nmar

kNU

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4934

78.8

2.20

2.29

2679

96.3

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erik

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Un.

a.n.

a.n.

a.n.

a.42

010

0.00

DK

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NU

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a.0.

3036

199

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Fred

erik

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g am

tN

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n.a.

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1.56

152

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2790

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4612

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rstrø

ms

amt

NU

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a.n.

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9210

093

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ms

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NU

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a.n.

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2818

94.7

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2120

893

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4510

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7717

796

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NU

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5614

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4131

396

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NU

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6411

392

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DK

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djyl

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s am

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UTS

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n.a.

n.a.

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2.24

233

94.3

3D

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tgar

tNU

TS 2

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123

63de

10.

81de

10.

7720

38.2

98.1

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1S

tuttg

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NU

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8345

7.6

99.5

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TS 3

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9020

3.5

99.0

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gen

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2324

0.8

98.8

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4410

8.5

98.3

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n.a.

n.a.

0.75

222.

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DE

116

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s-M

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n.a.

n.a.

0.55

176.

697

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DE

117

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nn, S

tadt

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n.a.

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0.78

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99.3

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dkre

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n.a.

n.a.

n.a.

0.84

129.

195

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DE

119

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NU

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3452

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DE

11A

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lN

UTS

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n.a.

n.a.

n.a.

1.16

87.7

95.5

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NU

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4365

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11C

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NU

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a.n.

a.0.

2863

98.1

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UTS

3(2

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n.a.

n.a.

n.a.

0.53

141.

197

.11

DE1

2Ka

rlsru

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TS 2

(3) P

U2.

13de

123

63de

10.

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10.

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63.5

98.7

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1B

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sN

UTS

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n.a.

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38.2

98.2

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NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

7621

4.7

99.7

2D

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dkre

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UTS

3(3

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n.a.

n.a.

n.a.

0.86

172.

698

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DE

124

Ras

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NU

TS 3

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a.n.

a.n.

a.0.

2110

2.6

97.9

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sN

UTS

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n.a.

n.a.

n.a.

0.16

106

99.5

3D

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6M

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, Sta

dtkr

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NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

5321

6.4

99.6

8D

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7N

ecka

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UTS

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n.a.

n.a.

n.a.

0.36

59.2

96.7

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UTS

3(3

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n.a.

n.a.

n.a.

0.86

197.

298

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DE

129

Pfo

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tadt

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sN

UTS

3(3

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n.a.

n.a.

n.a.

0.15

7099

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DE

12A

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wN

UTS

3(2

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n.a.

n.a.

n.a.

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57.8

97.1

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nzkr

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NU

TS 3

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3872

98.2

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n.a.

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56.7

97.2

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2.13

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2363

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0.81

de1

1.12

1023

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DE

131

Frei

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reis

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NU

TS 3

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99.5

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n.a.

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1.03

93.8

93.7

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3E

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NU

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(2) I

Rn.

a.n.

a.n.

a.0.

4059

94.5

5D

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4O

rtena

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UTS

3(2

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n.a.

n.a.

n.a.

0.16

207.

396

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DE

135

Rot

twei

lN

UTS

3(2

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n.a.

n.a.

n.a.

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67.4

97.4

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NU

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797

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DE

137

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n.a.

n.a.

0.58

65.2

98.4

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DE1

4Tü

bing

enNU

TS 2

(2) I

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13de

123

63de

10.

81de

11.

7083

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9.7

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8291

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DE

143

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n.a.

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1.01

85.5

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1.73

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599

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DE

145

Alb

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TS 3

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7365

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DE

146

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n.a.

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2.25

8295

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DE

147

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UTS

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n.a.

n.a.

4.40

94.8

96.3

4

DG

AG

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DG

AG

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2D

G A

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Obj

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001

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U, U

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001

for H

U, U

K)

2002

2002

2004

2002

2002

2002

Nat

iona

l Acc

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nal A

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for N

L, R

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s (L

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r NL,

RO

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cono

mic

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cono

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Gro

ss V

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Add

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prim

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Sha

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f prim

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n to

tal G

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as a

t ris

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f se

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Obj

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k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

or

221

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

148

Rav

ensb

urg

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

5613

0.1

96.2

3D

E14

9S

igm

arin

gen

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.2.

6658

.595

.59

DE2

1O

berb

ayer

nNU

TS 2

(2) I

R3.

58de

240

71de

21.

19de

20.

5022

26.3

97.5

0D

E21

1In

gols

tadt

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

5590

.399

.23

DE

212

Mün

chen

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3892

5.4

99.7

0D

E21

3R

osen

heim

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.44

.199

.32

DE

214

Altö

tting

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

6451

.896

.28

DE

215

Ber

chte

sgad

ener

Lan

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.00

44.7

95.5

1D

E21

6B

ad T

ölz-

Wol

frats

haus

enN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.01

47.2

95.5

5D

E21

7D

acha

uN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.13

42.5

95.7

2D

E21

8E

bers

berg

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4941

94.9

1D

E21

9E

ichs

tätt

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

4535

.792

.73

DE

21A

Erd

ing

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

6439

.192

.00

DE

21B

Frei

sing

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

8686

.696

.44

DE

21C

Fürs

tenf

eldb

ruck

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0061

.197

.60

DE

21D

Gar

mis

ch-P

arte

nkirc

hen

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0040

.396

.41

DE

21E

Land

sber

g am

Lec

hN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.39

4294

.81

DE

21F

Mie

sbac

hN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.02

39.6

94.5

1D

E21

GM

ühld

orf a

m In

nN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.91

43.3

93.3

2D

E21

HM

ünch

en, L

andk

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4820

6.2

98.9

4D

E21

IN

eubu

rg-S

chro

benh

ause

nN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.78

35.4

92.9

1D

E21

JP

faffe

nhof

en a

n de

r Ilm

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

9939

.292

.45

DE

21K

Ros

enhe

im, L

andk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0390

94.1

4D

E21

LS

tarn

berg

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4553

.497

.80

DE

21M

Trau

nste

inN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.16

73.8

93.8

9D

E21

NW

eilh

eim

-Sch

onga

uN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.01

53.8

94.5

5D

E22

Nied

erba

yern

NUTS

2(1

) PR

3.58

de2

4071

de2

1.19

de2

2.11

523.

793

.70

DE

221

Land

shut

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.7.

0445

99.5

6D

E22

2P

assa

u, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.08

4399

.54

DE

223

Stra

ubin

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.69

32.3

98.7

8D

E22

4D

egge

ndor

fN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.72

53.8

94.2

2D

E22

5Fr

eyun

g-G

rafe

nau

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0030

.791

.92

DE

226

Kel

heim

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.3.

4643

.492

.74

DE

227

Land

shut

, Lan

dkre

isN

UTS

3(1

) PR

n.a.

n.a.

n.a.

5.10

49.4

91.3

1D

E22

8P

assa

u, L

andk

reis

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

2768

.192

.53

DE

229

Reg

enN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.00

33.4

93.0

4D

E22

AR

otta

l-Inn

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.2.

6346

.190

.22

DE

22B

Stra

ubin

g-B

ogen

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

4026

.886

.45

DE

22C

Din

golfi

ng-L

anda

uN

UTS

3(1

) PR

n.a.

n.a.

n.a.

3.60

51.7

94.3

4D

E23

Obe

rpfa

lzNU

TS 2

(1) P

R3.

58de

240

71de

21.

19de

20.

5850

5.3

95.2

7D

E23

1A

mbe

rg, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.08

30.6

99.3

5D

E23

2R

egen

sbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

3.78

127.

699

.77

DE

233

Wei

den

in d

er O

berp

falz

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0035

.999

.45

DE

234

Am

berg

-Sul

zbac

hN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.43

34.3

92.4

5D

E23

5C

ham

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0855

.292

.00

DE

236

Neu

mar

kt in

der

Obe

rpfa

lzN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.18

51.1

93.2

5D

E23

7N

eust

adt a

n de

r Wal

dnaa

bN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.36

31.6

91.8

6D

E23

8R

egen

sbur

g, L

andk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

3248

.192

.68

DE

239

Sch

wan

dorf

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

3762

.194

.23

DE

23A

Tirs

chen

reut

hN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.23

28.6

91.9

6D

E24

Obe

rfra

nken

NUTS

2(2

) IR

3.58

de2

4071

de2

1.19

de2

0.62

514.

196

.22

DE

241

Bam

berg

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

7263

.999

.53

DE

242

Bay

reut

h, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.58

59.6

99.0

0D

E24

3C

obur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.81

36.5

99.4

6D

E24

4H

of, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.51

3399

.40

DE

245

Bam

berg

, Lan

dkre

isN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.09

37.2

91.1

8D

E24

6B

ayre

uth,

Lan

dkre

isN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.24

31.2

90.7

0D

E24

7C

obur

g, L

andk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

1236

.496

.30

DE

248

Forc

hhei

mN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.10

33.1

91.1

8D

E24

9H

of, L

andk

reis

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2043

.895

.63

DE

24A

Kro

nach

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2034

.996

.41

DE

24B

Kul

mba

chN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.52

33.7

95.4

7D

E24

CLi

chte

nfel

sN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.09

33.7

95.4

7D

E24

DW

unsi

edel

im F

icht

elge

birg

eN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.30

37.3

97.3

9D

E25

Mitt

elfr

anke

nNU

TS 2

(2) I

R3.

58de

240

71de

21.

19de

20.

5785

3.9

97.2

9D

E25

1A

nsba

ch, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.26

31.1

98.4

2D

E25

2E

rlang

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

3.13

84.5

99.5

3D

E25

3Fü

rth, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

3.98

57.3

99.1

3D

E25

4N

ürnb

erg,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3534

4.7

99.4

8

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

orS

hare

of p

rimar

y se

ctor

(=A

) in

tota

l em

ploy

men

tG

ross

Val

ue A

dded

in p

rimar

y se

ctor

(=A

)S

hare

of p

rimar

y se

ctor

(=A

) in

tota

l GV

AA

reas

at r

isk

of s

oil

eros

ion

Em

ploy

men

t in

seco

ndar

y an

d te

rtiar

y se

ctor

sS

hare

of

seco

ndar

y an

d te

rtiar

y se

ctor

s in

tota

l em

ploy

men

tE

uros

tat

Eur

osta

tE

uros

tat

JRC

Eur

osta

t Eco

nom

ic A

ccou

nts

Eur

osta

t Eco

nom

ic A

ccou

nts

Nat

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l Acc

ount

s (L

FS fo

r NL,

RO

)N

atio

nal A

ccou

nts

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

) (L

FS fo

r NL,

RO

)20

0220

0220

0220

0420

0220

02(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

%M

illio

n eu

ros

%To

n/ha

/yea

rTh

ousa

nds

peop

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mpl

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%

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

222

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

255

Sch

wab

ach,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.19

98.9

6D

E25

6A

nsba

ch, L

andk

reis

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

3966

.391

.70

DE

257

Erla

ngen

-Höc

hsta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.87

44.6

96.1

2D

E25

8Fü

rth, L

andk

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3930

.496

.82

DE

259

Nue

rnbe

rger

Lan

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.25

61.3

96.5

4D

E25

AN

eust

adt a

n de

r Ais

ch-B

ad W

inds

heim

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

4634

.489

.58

DE

25B

Rot

hN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.59

42.6

94.0

4D

E25

CW

eiße

nbur

g-G

unze

nhau

sen

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

0037

.692

.84

DE2

6Un

terf

rank

enNU

TS 2

(2) I

R3.

58de

240

71de

21.

19de

20.

8861

296

.24

DE

261

Asc

haffe

nbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.74

51.9

99.6

2D

E26

2S

chw

einf

urt,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

1858

.399

.66

DE

263

Wür

zbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.26

106.

699

.35

DE

264

Asc

haffe

nbur

g, L

andk

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0563

.397

.53

DE

265

Bad

Kis

sing

enN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.29

46.3

95.0

7D

E26

6R

hön-

Gra

bfel

dN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.78

3793

.91

DE

267

Haß

berg

eN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.88

35.6

93.4

4D

E26

8K

itzin

gen

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.3.

5636

.290

.50

DE

269

Milt

enbe

rgN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.67

50.6

97.3

1D

E26

AM

ain-

Spe

ssar

tN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.23

55.3

95.6

7D

E26

BS

chw

einf

urt,

Land

krei

sN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.97

27.1

90.6

4D

E26

CW

ürzb

urg,

Lan

dkre

isN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.72

4492

.83

DE2

7Sc

hwab

enNU

TS 2

(2) I

R3.

58de

240

71de

21.

19de

21.

0780

996

.06

DE

271

Aug

sbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.72

171.

799

.59

DE

272

Kau

fbeu

ren,

Kre

isfre

ie S

tadt

NU

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273

Kem

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0043

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Mem

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0131

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3335

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278

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5561

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414

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4041

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426

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499

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1037

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1693

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(Obj

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Obj

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0.13

116.

698

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718

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7310

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4210

599

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71B

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0.97

144.

899

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446.

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n.a.

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121.

198

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DE

722

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112.

698

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723

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burg

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98.0

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107.

497

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DE

725

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NU

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4441

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573.

597

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DE

731

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1313

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6096

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734

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2868

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DE

736

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1876

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737

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3443

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nNU

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5169

1.6

95.3

1D

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0.66

27.5

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0.10

100.

599

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2832

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806

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3422

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3842

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3727

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DE

809

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6337

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7543

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4426

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DE

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Mür

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n.a.

n.a.

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ordv

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NU

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a.n.

a.0.

2034

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DE

80E

Nor

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NU

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a.0.

5331

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DE

80F

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NU

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4037

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80G

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9234

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DE

80H

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939

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92.

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3.6

97.9

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4358

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DE

913

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299

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914

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NU

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7247

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n.a.

n.a.

0.81

27.6

96.1

7D

E91

8N

orth

eim

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

8356

.994

.52

DE

919

Ost

erod

e am

Har

zN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.56

36.3

97.8

4D

E91

AP

eine

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

6740

.397

.34

DE

91B

Wol

fenb

ütte

lN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.56

32.5

96.1

5D

E92

Hann

over

NUTS

2(2

) IR

3.50

de9

3965

de9

2.37

de9

1.00

990.

597

.89

DE

922

Die

phol

zN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.92

79.9

93.6

7D

E92

3H

amel

n-P

yrm

ont

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

8466

.997

.52

DE

925

Hild

eshe

imN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.73

118.

397

.85

DE

926

Hol

zmin

den

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

6330

.296

.79

DE

927

Nie

nbur

g (W

eser

)N

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.92

45.6

93.2

5D

E92

8S

chau

mbu

rgN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.29

59.3

97.5

3D

E92

9R

egio

n H

anno

ver

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.59

0.5

99.0

4D

E93

Lüne

burg

NUTS

2(2

) IR

3.50

de9

3965

de9

2.37

de9

1.52

603.

894

.73

DE

931

Cel

leN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.02

70.1

96.4

2D

E93

2C

uxha

ven

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

6060

.892

.12

DE

933

Har

burg

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.3.

0369

.495

.72

DE

934

Lüch

ow-D

anne

nber

gN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.30

17.3

91.5

3D

E93

5Lü

nebu

rg, L

andk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

4166

.896

.53

DE

936

Ost

erho

lzN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.59

3494

.71

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

orS

hare

of p

rimar

y se

ctor

(=A

) in

tota

l em

ploy

men

tG

ross

Val

ue A

dded

in p

rimar

y se

ctor

(=A

)S

hare

of p

rimar

y se

ctor

(=A

) in

tota

l GV

AA

reas

at r

isk

of s

oil

eros

ion

Em

ploy

men

t in

seco

ndar

y an

d te

rtiar

y se

ctor

sS

hare

of

seco

ndar

y an

d te

rtiar

y se

ctor

s in

tota

l em

ploy

men

tE

uros

tat

Eur

osta

tE

uros

tat

JRC

Eur

osta

t Eco

nom

ic A

ccou

nts

Eur

osta

t Eco

nom

ic A

ccou

nts

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)N

atio

nal A

ccou

nts

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

) (L

FS fo

r NL,

RO

)20

0220

0220

0220

0420

0220

02(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

%M

illio

n eu

ros

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

224

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

937

Rot

enbu

rg (W

ümm

e)N

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.26

63.7

92.8

6D

E93

8S

olta

u-Fa

lling

bost

elN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.52

61.5

95.6

5D

E93

9S

tade

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

3669

.494

.55

DE

93A

Uel

zen

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

4836

.693

.61

DE

93B

Ver

den

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

1754

.395

.43

DE9

4W

eser

-Em

sNU

TS 2

(2) I

R3.

50de

939

65de

92.

37de

90.

4110

48.3

95.2

4D

E94

1D

elm

enho

rst,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0631

.999

.07

DE

942

Em

den,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.35

.199

.43

DE

943

Old

enbu

rg (O

lden

burg

), K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.14

98.3

99.7

0D

E94

4O

snab

rück

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

7111

0.9

99.5

5D

E94

5W

ilhel

msh

aven

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0245

.799

.35

DE

946

Am

mer

land

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0842

.789

.52

DE

947

Aur

ich

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0563

.693

.81

DE

948

Clo

ppen

burg

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

3857

.190

.35

DE

949

Em

slan

dN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.40

129.

294

.24

DE

94A

Frie

slan

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.04

4096

.15

DE

94B

Gra

fsch

aft B

enth

eim

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3152

.794

.61

DE

94C

Leer

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0353

.794

.21

DE

94D

Old

enbu

rg, L

andk

reis

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

4339

.392

.91

DE

94E

Osn

abrü

ck, L

andk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

1813

1.6

94.4

0D

E94

FV

echt

aN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.70

62.4

92.7

2D

E94

GW

eser

mar

sch

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0033

.994

.17

DE

94H

Witt

mun

dN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.03

20.3

91.0

3D

EA1

Düss

eldo

rfNU

TS 2

(3) P

U1.

46de

a31

40de

a0.

73de

a0.

7524

70.7

98.8

6D

EA

11D

üsse

ldor

f, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.67

455.

499

.74

DE

A12

Dui

sbur

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.15

211

99.5

3D

EA

13E

ssen

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0529

9.1

99.4

0D

EA

14K

refe

ld, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.26

119.

499

.25

DE

A15

Mön

chen

glad

bach

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

8112

1.6

99.1

8D

EA

16M

ülhe

im a

n de

r Ruh

r, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.67

76.4

99.2

2D

EA

17O

berh

ause

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.02

90.3

99.4

5D

EA

18R

emsc

heid

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0260

.499

.18

DE

A19

Sol

inge

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.10

69.7

99.4

3D

EA

1AW

uppe

rtal,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2416

9.9

99.4

1D

EA

1BK

leve

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

6611

3.1

93.9

4D

EA

1CM

ettm

ann

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

6822

2.9

99.1

1D

EA

1DN

euss

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

8117

4.8

98.5

3D

EA

1EV

iers

enN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.78

115.

797

.15

DE

A1F

Wes

elN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.69

170.

897

.60

DEA

2Kö

lnNU

TS 2

(3) P

U1.

46de

a31

40de

a0.

73de

a1.

3020

31.3

98.9

0D

EA

21A

ache

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.88

159.

299

.62

DE

A22

Bon

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.49

214.

799

.72

DE

A23

Köl

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.79

626.

899

.71

DE

A24

Leve

rkus

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.18

83.2

99.6

4D

EA

25A

ache

n, L

andk

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

8510

6.1

98.8

8D

EA

26D

üren

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.2.

6210

3.6

97.7

4D

EA

27E

rftkr

eis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.2.

0616

6.7

98.5

8D

EA

28E

uski

rche

nN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.87

68.9

97.0

4D

EA

29H

eins

berg

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

1682

.497

.28

DE

A2A

Obe

rber

gisc

her K

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0212

2.5

98.3

1D

EA

2BR

hein

isch

-Ber

gisc

her-

Kre

isN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.09

99.8

98.4

2D

EA

2CR

hein

-Sie

g-K

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0919

7.1

97.5

3D

EA3

Mün

ster

NUTS

2(3

) PU

1.46

dea

3140

dea

0.73

dea

0.76

1083

.297

.34

DE

A31

Bot

trop,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3844

.898

.46

DE

A32

Gel

senk

irche

n, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.23

108.

699

.45

DE

A33

Mün

ster

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3517

5.2

98.7

0D

EA

34B

orke

nN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.51

161.

296

.07

DE

A35

Coe

sfel

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.01

77.6

94.6

3D

EA

36R

eckl

ingh

ause

nN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.68

224.

698

.55

DE

A37

Ste

infu

rtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.89

177.

196

.51

DE

A38

War

endo

rfN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.76

114

95.4

8D

EA4

Detm

old

NUTS

2(3

) PU

1.46

dea

3140

dea

0.73

dea

3.04

960

97.7

4D

EA

41B

iele

feld

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.3.

1617

9.7

99.3

9D

EA

42G

üter

sloh

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.2.

2717

3.9

97.3

1D

EA

43H

erfo

rdN

UTS

3(3

) PU

n.a.

n.a.

n.a.

4.81

117.

198

.32

DE

A44

Höx

ter

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.3.

0658

94.9

3D

EA

45Li

ppe

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.5.

2014

5.8

97.9

8D

EA

46M

inde

n-Lü

bbec

keN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.14

150.

697

.29

DE

A47

Pad

erbo

rnN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.63

135.

197

.26

Eur

osta

tE

uros

tat

Eur

osta

tJR

CE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat E

cono

mic

Acc

ount

s

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

or

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal

empl

oym

ent

Gro

ss V

alue

Add

ed in

prim

ary

sect

or (=

A)

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal G

VA

Are

as a

t ris

k of

soi

l er

osio

n E

mpl

oym

ent i

n se

cond

ary

and

terti

ary

sect

ors

Sha

re o

f se

cond

ary

and

terti

ary

sect

ors

in to

tal e

mpl

oym

ent

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)N

atio

nal A

ccou

nts

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

) (L

FS fo

r NL,

RO

)20

0220

0220

0220

0420

0220

02(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

%M

illio

n eu

ros

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

225

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DEA

5Ar

nsbe

rgNU

TS 2

(3) P

U1.

46de

a31

40de

a0.

73de

a0.

9716

60.4

98.7

8D

EA

51B

ochu

m, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.65

191.

699

.64

DE

A52

Dor

tmun

d, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.54

276

99.4

2D

EA

53H

agen

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

5096

.199

.48

DE

A54

Ham

m, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.01

74.3

98.4

1D

EA

55H

erne

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

2460

.399

.67

DE

A56

Enn

epe-

Ruh

r-K

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

6113

7.3

98.8

5D

EA

57H

ochs

auer

land

krei

sN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.20

130.

497

.39

DE

A58

Mär

kisc

her K

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

8620

6.8

98.9

5D

EA

59O

lpe

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

6664

.297

.87

DE

A5A

Sie

gen-

Witt

gens

tein

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

2414

398

.76

DE

A5B

Soe

stN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.18

134.

697

.18

DE

A5C

Unn

aN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.75

146

98.5

2DE

B1

Kobl

enz

NUTS

2(2

) IR

3.06

deb

1188

deb

1.39

deb

1.04

635.

797

.40

DE

B11

Kob

lenz

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

9398

.299

.49

DE

B12

Ahr

wei

ler

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

7542

.595

.72

DE

B13

Alte

nkirc

hen

(Wes

terw

ald)

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0746

.597

.69

DE

B14

Bad

Kre

uzna

chN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.85

62.1

95.5

4D

EB

15B

irken

feld

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3536

.897

.87

DE

B16

Coc

hem

-Zel

lN

UTS

3(1

) PR

n.a.

n.a.

n.a.

2.00

27.1

93.4

5D

EB

17M

ayen

-Kob

lenz

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

8677

.897

.74

DE

B18

Neu

wie

dN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.28

75.4

98.4

3D

EB

19R

hein

-Hun

srüc

k-K

reis

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

3944

.296

.09

DE

B1A

Rhe

in-L

ahn-

Kre

isN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.40

4397

.07

DE

B1B

Wes

terw

aldk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3082

.397

.63

DEB

2Tr

ier

NUTS

2(2

) IR

3.06

deb

1188

deb

1.39

deb

0.81

210.

295

.07

DE

B21

Trie

r, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.27

72.3

99.1

8D

EB

22B

ernk

aste

l-Witt

lich

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

1045

.592

.67

DE

B23

Bitb

urg-

Prü

mN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.52

33.2

92.7

4D

EB

24D

aun

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

5024

.994

.68

DE

B25

Trie

r-S

aarb

urg

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

1734

.392

.70

DEB

3Rh

einh

esse

n-Pf

alz

NUTS

2(3

) PU

3.06

deb

1188

deb

1.39

deb

1.47

853.

997

.19

DE

B31

Fran

kent

hal (

Pfa

lz),

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2421

.299

.53

DE

B32

Kai

sers

laut

ern,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0665

.499

.70

DE

B33

Land

au in

der

Pfa

lz, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.41

2698

.11

DE

B34

Ludw

igsh

afen

am

Rhe

in, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.24

116

99.4

9D

EB

35M

ainz

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0114

6.3

99.5

9D

EB

36N

eust

adt a

n de

r Wei

nstra

ße, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.14

24.2

96.4

1D

EB

37P

irmas

ens,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.4.

3126

.999

.63

DE

B38

Spe

yer,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

5830

.799

.68

DE

B39

Wor

ms,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

7736

.998

.66

DE

B3A

Zwei

brüc

ken,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.9.

0122

.299

.11

DE

B3B

Alz

ey-W

orm

sN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.89

3391

.16

DE

B3C

Bad

Dür

khei

mN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.77

39.3

94.2

4D

EB

3DD

onne

rsbe

rgkr

eis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

1923

.595

.53

DE

B3E

Ger

mer

shei

mN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.95

47.5

97.5

4D

EB

3FK

aise

rsla

uter

n, L

andk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

0127

.996

.21

DE

B3G

Kus

elN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.25

19.3

95.5

4D

EB

3HS

üdlic

he W

eins

traße

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

7434

.291

.44

DE

B3I

Ludw

igsh

afen

, Lan

dkre

isN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.59

30.4

91.2

9D

EB

3JM

ainz

-Bin

gen

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

7359

.793

.87

DE

B3K

Süd

wes

tpfa

lzN

UTS

3(1

) PR

n.a.

n.a.

n.a.

3.72

23.4

95.5

1T2

000X

TS

aarla

ndN

UTS

2(3

) PU

0.84

dec

71de

c0.

30de

c0.

7549

899

.18

T200

1XT

Saa

rbrü

cken

, Sta

dtve

rban

dN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.40

209

99.5

7T2

002X

TM

erzi

g-W

ader

nN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.48

39.6

98.2

6T2

003X

TN

eunk

irche

nN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.54

51.7

98.8

5T2

004X

TS

aarlo

uis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

4390

.899

.13

T200

5XT

Saa

rpfa

lz-K

reis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

7474

.999

.07

T200

6XT

San

kt W

ende

lN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.81

32.2

98.7

7DE

D1

Chem

nitz

NUTS

2(2

) IR

2.56

ded

1002

ded

1.43

ded

1.12

668.

797

.27

DE

D11

Che

mni

tz, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.82

150.

199

.27

DE

D12

Pla

uen,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.3.

8533

.699

.12

DE

D13

Zwic

kau,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.2.

4065

99.5

4D

ED

14A

nnab

erg

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

2835

.296

.44

DE

D15

Che

mni

tzer

Lan

dN

UTS

3(3

) PU

n.a.

n.a.

n.a.

2.47

55.1

97.7

0D

ED

16Fr

eibe

rgN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.05

54.3

94.7

6D

ED

17V

ogtla

ndkr

eis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

7875

.596

.18

DE

D18

Mitt

lere

r Erz

gebi

rgsk

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

2833

.395

.42

DE

D19

Mitt

wei

daN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.30

46.3

94.8

8

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

orS

hare

of p

rimar

y se

ctor

(=A

) in

tota

l em

ploy

men

tG

ross

Val

ue A

dded

in p

rimar

y se

ctor

(=A

)S

hare

of p

rimar

y se

ctor

(=A

) in

tota

l GV

AA

reas

at r

isk

of s

oil

eros

ion

Em

ploy

men

t in

seco

ndar

y an

d te

rtiar

y se

ctor

sS

hare

of

seco

ndar

y an

d te

rtiar

y se

ctor

s in

tota

l em

ploy

men

tE

uros

tat

Eur

osta

tE

uros

tat

JRC

Eur

osta

t Eco

nom

ic A

ccou

nts

Eur

osta

t Eco

nom

ic A

ccou

nts

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)N

atio

nal A

ccou

nts

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

) (L

FS fo

r NL,

RO

)20

0220

0220

0220

0420

0220

02(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

%M

illio

n eu

ros

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

226

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

D1A

Sto

llber

gN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.64

30.1

96.1

7D

ED

1BA

ue-S

chw

arze

nber

gN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.17

49.8

97.2

7D

ED

1CZw

icka

uer L

and

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

6040

.495

.73

DED

2Dr

esde

nNU

TS 2

(2) I

R2.

56de

d10

02de

d1.

43de

d1.

6273

7.5

97.4

6D

ED

21D

resd

en, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

2.06

283.

199

.44

DE

D22

Gör

litz,

Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.3.

4825

.498

.83

DE

D23

Hoy

ersw

erda

, Kre

isfre

ie S

tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

5519

.499

.49

DE

D24

Bau

tzen

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

3364

.596

.99

DE

D25

Mei

ssen

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

5161

96.2

1D

ED

26N

iede

rsch

lesi

sche

r Obe

rlaus

itzkr

eis

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

9032

.495

.01

DE

D27

Rie

sa-G

roße

nhai

nN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.84

45.8

96.2

2D

ED

28Lö

bau-

Zitta

uN

UTS

3(2

) IR

n.a.

n.a.

n.a.

3.45

52.8

96.3

5D

ED

29S

ächs

isch

e S

chw

eiz

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

7252

.595

.63

DE

D2A

Wei

ßerit

zkre

isN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.54

42.5

94.4

4D

ED

2BK

amen

zN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.31

5896

.03

DED

3Le

ipzi

gNU

TS 2

(2) I

R2.

56de

d10

02de

d1.

43de

d1.

1046

9.6

97.6

3D

ED

31Le

ipzi

g, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.30

265.

599

.66

DE

D32

Del

itzsc

hN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.78

48.6

96.2

4D

ED

33D

öbel

nN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.46

2896

.22

DE

D34

Leip

zige

r Lan

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.49

48.8

96.4

4D

ED

35M

ulde

ntal

krei

sN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.42

4494

.42

DE

D36

Torg

au-O

scha

tzN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.04

34.7

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0D

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Dess

auNU

TS 2

(2) I

R3.

45de

e96

2de

e2.

39de

e0.

4819

0.9

96.1

7D

EE

11D

essa

u, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.45

40.3

99.0

2D

EE

12A

nhal

t-Zer

bst

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3724

.493

.49

DE

E13

Ber

nbur

gN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.25

25.1

97.2

9D

EE

14B

itter

feld

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

9537

.797

.67

DE

E15

Köt

hen

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4220

.595

.35

DE

E16

Witt

enbe

rgN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.52

43.1

93.4

9D

EE2

Halle

NUTS

2(2

) IR

3.45

dee

962

dee

2.39

dee

0.79

335.

697

.16

DE

E21

Hal

le/S

aale

, Sta

dtkr

eis

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

1812

7.7

99.6

1D

EE

22B

urge

nlan

dkre

isN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.19

48.7

95.1

2D

EE

23M

ansf

elde

r Lan

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.34

32.5

97.0

1D

EE

24M

erse

burg

-Que

rfurt

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

9553

.395

.86

DE

E25

Saa

lkre

isN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.32

26.4

96.7

0D

EE

26S

ange

rhau

sen

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2721

.993

.59

DE

E27

Wei

ßenf

els

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

1125

.296

.18

DEE

3M

agde

burg

NUTS

2(2

) IR

3.45

dee

962

dee

2.39

dee

0.56

463.

896

.26

DE

E31

Mag

debu

rg, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.21

131.

999

.77

DE

E32

Asc

hers

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n-S

taßf

urt

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

0834

.294

.74

DE

E33

Bör

dekr

eis

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

3625

.294

.38

DE

E34

Hal

bers

tadt

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4327

.895

.86

DE

E35

Jeric

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er L

and

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4436

.295

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DE

E36

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isN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.71

41.8

95.4

3D

EE

37S

tend

alN

UTS

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) PR

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n.a.

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0.48

46.8

93.6

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38Q

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0.34

27.6

95.5

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39S

chön

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kN

UTS

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0.25

23.8

97.5

4D

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3AW

erni

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deN

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96.5

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NU

TS 3

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Rn.

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8332

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DEF0

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0.75

1187

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DE

F01

Flen

sbur

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n.a.

n.a.

n.a.

0.65

53.9

99.6

3D

EF0

2K

iel,

Kre

isfre

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tadt

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

6514

7.5

99.8

0D

EF0

3Lü

beck

, Kre

isfre

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NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

8211

2.4

99.3

8D

EF0

4N

eum

ünst

er, K

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freie

Sta

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3(3

) PU

n.a.

n.a.

n.a.

0.60

44.1

99.1

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EF0

5D

ithm

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hen

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3852

.593

.58

DE

F06

Her

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um L

auen

burg

NU

TS 3

(2) I

Rn.

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a.n.

a.1.

1658

.795

.14

DE

F07

Nor

dfrie

slan

dN

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n.a.

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0.35

71.6

94.0

9D

EF0

8O

stho

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UTS

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) IR

n.a.

n.a.

n.a.

0.75

78.8

95.6

3D

EF0

9P

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berg

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4111

0.3

95.8

3D

EF0

AP

lön

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

7337

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DE

F0B

Ren

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deN

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n.a.

n.a.

n.a.

0.87

102.

994

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DE

F0C

Sch

lesw

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lens

burg

NU

TS 3

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Rn.

a.n.

a.n.

a.0.

7067

.493

.09

DE

F0D

Seg

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gN

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n.a.

n.a.

n.a.

1.09

107.

196

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DE

F0E

Ste

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rgN

UTS

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n.a.

n.a.

n.a.

0.82

52.2

95.0

8D

EF0

FS

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arn

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

1690

.797

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DEG

0Th

ürin

gen

NUTS

2(2

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3.17

deg

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1.95

deg

0.65

1015

.196

.84

DE

G01

Erfu

rt, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.40

132.

298

.73

DE

G02

Ger

a, K

reis

freie

Sta

dtN

UTS

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n.a.

n.a.

n.a.

1.34

55.1

99.4

6D

EG

03Je

na, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.25

60.9

99.6

7

DG

AG

RI -

G2

DG

AG

RI-G

2D

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2002

2004

2002

2002

2002

2002

Nat

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(Obj

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Obj

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Deve

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Obj

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Obj

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Sect

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of p

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Em

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men

t in

seco

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sS

hare

of

seco

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d te

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tota

l em

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227

Indi

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Mea

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Uni

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Cal

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NU

TS c

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labe

lN

UTS

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vel

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EC

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G2

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text

1)

DE

G04

Suh

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freie

Sta

dtN

UTS

3(3

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n.a.

n.a.

n.a.

n.a.

26.1

99.2

4D

EG

05W

eim

ar, K

reis

freie

Sta

dtN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.30

32.3

99.6

9D

EG

06E

ichs

feld

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

7041

.496

.73

DE

G07

Nor

dhau

sen

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3236

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.09

DE

G09

Uns

trut-H

aini

ch-K

reis

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3943

.593

.15

DE

G0A

Kyf

fhäu

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NU

TS 3

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Rn.

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2530

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DE

G0B

Sch

mal

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en-M

eini

ngen

NU

TS 3

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a.n.

a.n.

a.0.

2860

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DE

G0C

Got

haN

UTS

3(2

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n.a.

n.a.

n.a.

0.28

61.7

96.7

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ömm

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NU

TS 3

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2126

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DE

G0E

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0.40

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94.5

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EG

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NU

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Rn.

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a.n.

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5626

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DE

G0I

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-Rud

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NU

TS 3

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Rn.

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a.n.

a.0.

7349

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DE

G0J

Saa

le-H

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UTS

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n.a.

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0.49

3594

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DE

G0K

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NU

TS 3

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9738

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DE

G0L

Gre

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1.21

42.8

94.0

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dN

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2.43

37.1

96.1

1D

EG

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ach,

Kre

isfre

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tadt

NU

TS 3

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4727

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DE

G0P

War

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0.43

50.7

95.8

4EE

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toni

aNU

TS 2

(2) I

R6.

5231

6.1

4.70

0.11

544.

293

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EE

001

Põh

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esti

NU

TS 3

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a.n.

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1426

1.2

98.2

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E00

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tiN

UTS

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) IR

n.a.

n.a.

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0.10

55.9

85.8

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6K

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tiN

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3(1

) PR

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0.13

4481

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EE

007

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esti

NU

TS 3

(3) P

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a.n.

a.0.

0966

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EE

008

Lõun

a-E

esti

NU

TS 3

(2) I

Rn.

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a.n.

a.0.

0911

788

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GR1

1An

atol

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NU

TS 3

(1) P

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a.n.

a.n.

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2333

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p62

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GR

112

Xan

thi

NU

TS 3

(2) I

Rn.

a.n.

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a.1.

8426

.18

p68

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p

GR

113

Rod

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NU

TS 3

(1) P

Rn.

a.n.

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9723

.24

p51

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GR

114

Dra

ma

NU

TS 3

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Rn.

a.n.

a.n.

a.0.

3821

.42

p69

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p

GR

115

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NU

TS 3

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Rn.

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5333

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GR1

2Ke

ntrik

i Mak

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iaNU

TS 2

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1528

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6.85

p1.

9054

7.34

p83

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pG

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UTS

3(1

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36.5

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70.0

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GR

122

Thes

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NU

TS 3

(2) I

Rn.

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0637

2.34

p94

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GR

123

Kilk

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n.a.

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2.81

32.7

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GR

124

Pel

laN

UTS

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n.a.

n.a.

n.a.

0.82

27.9

6p

55.6

1p

GR

125

Pie

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UTS

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n.a.

n.a.

n.a.

0.66

22.9

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65.2

6p

GR

126

Ser

res

NU

TS 3

(1) P

Rn.

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a.n.

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0735

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GR

127

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NU

TS 3

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1718

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GR1

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141

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142

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UTS

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2.98

79.4

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GR

143

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154

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144

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TS 3

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TS 3

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FR71

1A

inN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.04

196.

496

.42

FR71

2A

rdèc

heN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.16

95.6

94.0

9FR

713

Drô

me

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

1617

3.9

94.0

0FR

714

Isèr

eN

UTS

3(2

) IR

n.a.

n.a.

n.a.

6.93

442.

698

.16

FR71

5Lo

ireN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.08

269.

697

.01

FR71

6R

hône

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

1674

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98.4

8FR

717

Sav

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NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

7916

7.4

97.8

9FR

718

Hau

te-S

avoi

eN

UTS

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) IR

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n.a.

n.a.

0.21

260.

497

.93

FR72

Auve

rgne

NUTS

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) IR

6.71

943.

73.

710.

3948

9.4

93.2

9FR

721

Alli

erN

UTS

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) IR

n.a.

n.a.

n.a.

0.16

122.

893

.38

FR72

2C

anta

lN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.14

50.3

84.2

5FR

723

Hau

te-L

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NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0673

.291

.27

FR72

4P

uy-d

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NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

9924

3.1

96.0

1FR

81La

ngue

doc-

Rou

ssill

onNU

TS 2

(2) I

R5.

3218

25.2

4.30

0.67

784.

994

.41

FR81

1A

ude

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

9710

2.4

91.2

7FR

812

Gar

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.19

209

94.9

1FR

813

Hér

ault

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3432

0.1

95.9

5FR

814

Lozè

reN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.13

26.1

87.2

9FR

815

Pyr

énée

s-O

rient

ales

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

5212

7.3

93.9

5FR

82Pr

oven

ce-A

lpes

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Azur

NUTS

2(2

) IR

2.54

2171

.62.

231.

5117

08.2

97.3

8FR

821

Alp

es-d

e-H

aute

-Pro

venc

eN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.45

5093

.81

FR82

2H

aute

s-A

lpes

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.4.

4453

.995

.23

FR82

3A

lpes

-Mar

itim

esN

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) PU

n.a.

n.a.

n.a.

1.33

390.

798

.71

FR82

4B

ouch

es-d

u-R

hône

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2471

5.2

98.4

3FR

825

Var

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

5730

5.3

96.9

8FR

826

Vau

clus

eN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.83

193.

193

.29

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

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%To

n/ha

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001

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K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

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Nat

iona

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

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Nat

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s (L

FS fo

r NL,

RO

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CE

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Acc

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Acc

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Gro

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Add

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Are

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Sha

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Obj

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Area

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Ris

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Obj

ectiv

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men

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opm

ent o

f Non

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(Obj

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Dev

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men

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Sect

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(Obj

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Obj

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lopm

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f Prim

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Sect

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231

Indi

cato

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Mea

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men

tS

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Uni

t

Cal

cula

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NU

TS c

ode

labe

lN

UTS

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vel

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G2

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text

1)

FR83

Cors

eNU

TS 2

(1) P

R3.

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4.5

2.25

6.02

93.4

95.8

9FR

831

Cor

se-d

u-S

udN

UTS

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) IR

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n.a.

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1.24

4596

.77

FR83

2H

aute

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seN

UTS

3(1

) PR

n.a.

n.a.

n.a.

10.2

048

.495

.09

FR91

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delo

upe

(FR

)NU

TS 2

(2) I

Rn.

a.18

43.

10n.

a.12

7.5

94.5

8FR

910

Gua

delo

upe

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)N

UTS

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) IR

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n.a.

n.a.

n.a.

127.

594

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FR92

Mar

tiniq

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R)NU

TS 2

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Un.

a.18

73.

16n.

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4.8

93.4

9FR

920

Mar

tiniq

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R)

NU

TS 3

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Un.

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a.n.

a.n.

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4.8

93.4

9FR

93G

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R)NU

TS 2

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4.42

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47.3

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1FR

930

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ane

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UTS

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n.a.

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47.3

94.4

1FR

94Re

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R)NU

TS 2

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Un.

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52.

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2.9

95.4

0FR

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Reu

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UTS

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192.

995

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TS 3

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NU

TS 3

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Mid

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TS 3

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90.4

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Sou

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IE)

NU

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2316

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NU

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2623

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3.10

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931.

6218

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96.8

9IT

C11

Torin

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1.86

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ITC

12V

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0.95

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ITC

13B

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NU

TS 3

(2) I

Rn.

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9286

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ITC

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.59

ITC

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1.46

153.

197

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ITC

16C

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NU

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8.9

91.7

1IT

C17

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ITC

32S

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ITC

33G

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ITC

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7798

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41V

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1.89

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ITC

44S

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7IT

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46B

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49Lo

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2.50

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ITD

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7IT

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93.7

6IT

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7IT

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ITD

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35V

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1.22

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ITD

36P

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37R

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92.5

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895

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43G

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33.5

95.3

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5.52

113.

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3.27

193.

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DG

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DG

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G A

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G A

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G A

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2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

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Nat

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atio

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Gro

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Obj

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Obj

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y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

232

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

ITD

53R

eggi

o ne

ll'Em

ilia

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.2.

1521

8.5

95.1

7IT

D54

Mod

ena

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

4233

1.9

96.4

3IT

D55

Bol

ogna

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

0146

6.2

97.3

5IT

D56

Ferr

ara

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4214

1.5

91.8

8IT

D57

Rav

enna

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0416

2.8

91.9

8IT

D58

Forlì

-Ces

ena

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

8717

1.8

92.8

6IT

D59

Rim

ini

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.4.

1113

3.9

97.4

5IT

E1To

scan

aNU

TS 2

(2) I

R2.

6014

61.7

1.84

5.08

1585

.597

.31

ITE

11M

assa

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rara

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

5370

.798

.06

ITE

12Lu

cca

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0915

498

.09

ITE

13P

isto

iaN

UTS

3(3

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n.a.

n.a.

n.a.

3.04

113.

694

.04

ITE

14Fi

renz

eN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.63

484.

698

.62

ITE

15P

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NU

TS 3

(3) P

Un.

a.n.

a.n.

a.3.

8212

0.6

99.5

9IT

E16

Livo

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NU

TS 3

(3) P

Un.

a.n.

a.n.

a.4.

2313

4.1

98.2

4IT

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Pis

aN

UTS

3(2

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n.a.

n.a.

n.a.

8.94

166.

497

.82

ITE

18A

rezz

oN

UTS

3(1

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n.a.

n.a.

n.a.

3.41

152.

397

.07

ITE

19S

iena

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.9.

8611

3.4

94.4

2IT

E1A

Gro

sset

oN

UTS

3(1

) PR

n.a.

n.a.

n.a.

5.33

75.8

90.8

9IT

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bria

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2(1

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3.85

445.

92.

7012

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342.

596

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ITE

21P

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UTS

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n.a.

n.a.

14.5

625

6.9

95.8

6IT

E22

Tern

iN

UTS

3(2

) IR

n.a.

n.a.

n.a.

6.67

85.6

96.9

4IT

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arch

eNU

TS 2

(2) I

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8671

3.2

2.38

5.14

633.

495

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ITE

31P

esar

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ino

NU

TS 3

(2) I

Rn.

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a.n.

a.3.

9915

2.1

96.6

3IT

E32

Anc

ona

NU

TS 3

(2) I

Rn.

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a.6.

1419

997

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ITE

33M

acer

ata

NU

TS 3

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a.6.

3713

0.5

94.7

0IT

E34

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oli P

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n.a.

n.a.

4.19

151.

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TS 2

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5916

60.2

1.37

8.16

2302

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ITE

41V

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n.a.

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13.1

794

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.79

ITE

42R

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NU

TS 3

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Rn.

a.n.

a.n.

a.2.

6745

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.43

ITE

43R

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NU

TS 3

(3) P

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a.n.

a.8.

8218

01.7

98.8

6IT

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aN

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n.a.

n.a.

n.a.

8.71

187.

691

.16

ITE

45Fr

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NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.6.

0217

396

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ITF1

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83.

852.

4647

194

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1.57

105.

693

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ITF1

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UTS

3(2

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n.a.

n.a.

n.a.

5.04

115.

594

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ITF1

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raN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.01

108.

896

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ITF1

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iN

UTS

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n.a.

n.a.

n.a.

2.43

141.

192

.71

ITF2

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2(1

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8.80

196.

63.

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6410

5.7

91.2

0IT

F21

Iser

nia

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.2.

6530

.892

.77

ITF2

2C

ampo

bass

oN

UTS

3(1

) PR

n.a.

n.a.

n.a.

5.70

74.9

90.5

7IT

F3Ca

mpa

nia

NUTS

2(3

) PU

6.17

2431

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136.

2817

24.8

93.7

3IT

F31

Cas

erta

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.13

.68

225.

889

.82

ITF3

2B

enev

ento

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

8885

.481

.72

ITF3

3N

apol

iN

UTS

3(3

) PU

n.a.

n.a.

n.a.

17.7

294

7.8

97.6

8IT

F34

Ave

llino

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

9014

2.4

91.0

5IT

F35

Sal

erno

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.4.

7732

3.4

90.4

6IT

F4Pu

glia

NUTS

2(2

) IR

10.1

225

34.2

4.60

0.73

1214

.489

.50

ITF4

1Fo

ggia

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

4217

1.4

81.3

9IT

F42

Bar

iN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.21

516.

392

.02

ITF4

3Ta

rant

oN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.40

166.

387

.07

ITF4

4B

rindi

siN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.23

118.

686

.63

ITF4

5Le

cce

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4824

1.8

93.9

8IT

F5Ba

silic

ata

NUTS

2(1

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10.3

538

1.2

4.42

1.29

173.

389

.65

ITF5

1P

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zaN

UTS

3(1

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n.a.

n.a.

n.a.

1.27

112.

891

.56

ITF5

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ater

aN

UTS

3(1

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n.a.

n.a.

n.a.

1.35

60.5

86.3

1IT

F6Ca

labr

iaNU

TS 2

(2) I

R15

.27

1558

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073.

2053

9.9

84.4

8IT

F61

Cos

enza

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

8720

2.6

84.9

8IT

F62

Cro

tone

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.4.

8636

.778

.92

ITF6

3C

atan

zaro

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

8910

6.2

83.8

9IT

F64

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o V

alen

tiaN

UTS

3(2

) IR

n.a.

n.a.

n.a.

6.43

45.1

83.9

9IT

F65

Reg

gio

di C

alab

riaN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.03

149.

385

.85

ITG

1Si

cilia

NUTS

2(2

) IR

8.23

2296

.83.

431.

8113

74.1

91.0

8IT

G11

Trap

ani

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4611

5.6

86.8

5IT

G12

Pal

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oN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.98

327

95.2

8IT

G13

Mes

sina

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4421

2.6

94.4

9IT

G14

Agr

igen

toN

UTS

3(2

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n.a.

n.a.

n.a.

1.11

106.

287

.26

ITG

15C

alta

niss

etta

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

7867

89.5

7IT

G16

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aN

UTS

3(1

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n.a.

n.a.

n.a.

2.34

45.9

86.6

0IT

G17

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NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

5529

5.5

92.5

8

(Obj

ectiv

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- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

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- Eco

nom

ic

Dev

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t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

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n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

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icul

tura

l Se

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(Obj

ectiv

e 28

) - E

mpl

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Dev

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men

t of N

on-A

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ultu

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Sect

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of p

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tota

l em

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men

tG

ross

Val

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in p

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(=A

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of p

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l GV

AA

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of s

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Em

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t in

seco

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d te

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of

seco

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d te

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l em

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tat

Eur

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tE

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tat

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Nat

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Indi

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EC

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text

1)

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n.a.

4.73

90.7

81.6

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G19

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3.6

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0IT

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1453

6.2

92.1

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TS 3

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a.1.

0816

2.2

92.9

0IT

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n.a.

n.a.

0.94

80.7

89.3

7IT

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Oris

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NU

TS 3

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a.n.

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5343

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ITG

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n.a.

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249.

593

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CY0

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7.15

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23.

72n.

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7.6

92.4

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n.a.

n.a.

n.a.

297.

692

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LV00

Latv

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TS 2

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R14

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2001

388.

84.

420.

1183

2.4

84.9

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101

78.6

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TS 3

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6.8

80.1

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UTS

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n.a.

n.a.

343.

798

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UTS

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n.a.

n.a.

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121.

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8V

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TS 3

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a.n.

a.73

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LV00

9Ze

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leN

UTS

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n.a.

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85.5

73.0

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thua

nia

NUTS

2(1

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17.7

193

16.

920.

3311

60.2

82.2

4LT

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(Aps

kriti

s)N

UTS

3(1

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n.a.

n.a.

n.a.

0.12

56.7

83.6

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Kau

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pskr

itis)

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3125

2.2

87.6

3LT

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pskr

itis)

NU

TS 3

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a.n.

a.1.

0613

7.3

85.7

6LT

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ijam

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s (A

pskr

itis)

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2550

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LT00

5P

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n.a.

0.18

91.3

76.3

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n.a.

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103.

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49.3

69.4

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kriti

s)N

UTS

3(1

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n.a.

n.a.

n.a.

0.17

57.6

81.5

9LT

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kriti

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3(2

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n.a.

n.a.

n.a.

0.26

333.

292

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nd-D

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TS 2

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3913

9.4

i0.

57i

0.54

287

98.6

3LU

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n.a.

n.a.

0.54

287

98.6

30.

00

HU10

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NUTS

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1.97

2001

250.

40.

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2111

83.5

2001

98.0

220

01H

U10

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TS 3

(3) P

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a.n.

a.0.

1875

520

0199

.45

2001

HU

102

Pes

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3(2

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n.a.

n.a.

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0.21

428.

520

0195

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2001

HU21

Közé

p-D

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NUTS

2(2

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6.44

2001

255.

44.

300.

2742

4.3

2001

93.5

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U21

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TS 3

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3016

1.1

2001

92.5

320

01

HU

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n.a.

n.a.

n.a.

0.30

116.

120

0193

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2001

HU

213

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mN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.22

147.

120

0194

.90

2001

HU22

Nyug

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unán

túl

NUTS

2(2

) IR

5.84

2001

260.

54.

180.

4440

6.3

2001

94.1

620

01H

U22

1G

yor-

Mos

on-S

opro

nN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.26

173.

420

0194

.03

2001

HU

222

Vas

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3111

0.6

2001

94.2

920

01

HU

223

Zala

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

7512

2.3

2001

94.2

220

01

HU23

Dél-D

unán

túl

NUTS

2(1

) PR

10.1

220

0132

3.5

7.44

0.82

320.

920

0189

.69

2001

HU

231

Bar

anya

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3913

420

0191

.16

2001

HU

232

Som

ogy

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

4310

5.9

2001

89.7

520

01

HU

233

Toln

aN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.40

8120

0187

.28

2001

HU31

Észa

k-M

agya

rors

zág

NUTS

2(2

) IR

5.04

2001

205.

34.

150.

2440

920

0194

.94

2001

HU

311

Bor

sod-

Aba

új-Z

empl

énN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.22

225.

120

0195

.58

2001

HU

312

Hev

esN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.23

110.

520

0193

.25

2001

HU

313

Nóg

rád

NU

TS 3

(1) P

Rn.

a.n.

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a.0.

3273

.420

0195

.57

2001

HU32

Észa

k-Al

föld

NUTS

2(1

) PR

8.38

2001

425.

57.

070.

5047

820

0191

.47

2001

HU

321

Haj

dú-B

ihar

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

3217

6.7

2001

90.7

620

01

HU

322

Jász

-Nag

ykun

-Szo

lnok

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2013

3.7

2001

90.8

920

01

HU

323

Sza

bolc

s-S

zatm

ár-B

ereg

NU

TS 3

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Rn.

a.n.

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a.0.

9916

7.6

2001

92.7

020

01

HU33

Dél-A

lföld

NUTS

2(1

) PR

14.8

620

0150

6.2

8.93

0.28

440.

620

0185

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2001

HU

331

Bác

s-K

isku

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.34

177.

620

0185

.63

2001

HU

332

Bék

ésN

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3(1

) PR

n.a.

n.a.

n.a.

0.24

119.

520

0186

.72

2001

HU

333

Cso

ngrá

dN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.23

143.

520

0183

.00

2001

MT0

0M

alta

NUTS

2(3

) PU

1.75

2001

n.a.

n.a.

n.a.

145.

9898

.38

MT0

01M

alta

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.13

6.52

98.5

7M

T002

Goz

o an

d C

omin

o / G

haw

dex

u K

emm

una

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.9.

2795

.67

NL11

Gro

ning

enNU

TS 2

(2) I

R2.

52LF

S A_

B32

9ip

1.97

ip0.

0924

4.3

LFS

97.2

2LF

SN

L111

Oos

t-Gro

ning

enN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.19

n.a.

n.a.

NL1

12D

elfz

ijl e

n om

gevi

ngN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.00

n.a.

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NL1

13O

verig

Gro

ning

enN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.03

n.a.

n.a.

NL12

Frie

slan

dNU

TS 2

(2) I

R3.

85LF

S A_

B77

6ip

5.90

ip0.

0226

2.9

LFS

95.6

7LF

SN

L121

Noo

rd-F

riesl

and

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

01n.

a.n.

a.N

L122

Zuid

wes

t-Frie

slan

dN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.04

n.a.

n.a.

NL1

23Zu

idoo

st-F

riesl

and

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

02n.

a.n.

a.NL

13Dr

enth

eNU

TS 2

(2) I

R4.

78LF

S A_

B40

8ip

4.41

ip0.

1319

4.2

LFS

94.6

4LF

SN

L131

Noo

rd-D

rent

heN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.11

n.a.

n.a.

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%%

Mill

ion

euro

s(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)JR

CE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat

Eur

osta

tE

uros

tat

Sha

re o

f se

cond

ary

and

terti

ary

sect

ors

in to

tal e

mpl

oym

ent

Gro

ss V

alue

Add

ed in

prim

ary

sect

or (=

A)

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal G

VA

Are

as a

t ris

k of

soi

l er

osio

n E

mpl

oym

ent i

n se

cond

ary

and

terti

ary

sect

ors

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal

empl

oym

ent

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

or

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

234

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

NL1

32Zu

idoo

st-D

rent

heN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.23

n.a.

n.a.

NL1

33Zu

idw

est-D

rent

heN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.02

n.a.

n.a.

NL21

Ove

rijss

elNU

TS 2

(3) P

U3.

85LF

S A_

B66

4ip

2.84

ip0.

0346

9.8

LFS

95.7

6LF

SN

L211

Noo

rd-O

verij

ssel

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

03n.

a.n.

a.N

L212

Zuid

wes

t-Ove

rijss

elN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.02

n.a.

n.a.

NL2

13Tw

ente

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

03n.

a.n.

a.NL

22G

elde

rland

NUTS

2(3

) PU

2.84

LFS

A_B

1021

ip2.

41ip

0.06

863.

7LF

S96

.86

LFS

NL2

21V

eluw

eN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.03

n.a.

n.a.

NL2

22A

chte

rhoe

kN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.04

n.a.

n.a.

NL2

23A

rnhe

m/N

ijmeg

enN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.13

n.a.

n.a.

NL2

24Zu

idw

est-G

elde

rland

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

07n.

a.n.

a.NL

23Fl

evol

and

NUTS

2(2

) IR

3.66

LFS

A_B

415

ip6.

43ip

0.11

154.

7LF

S95

.97

LFS

NL2

30Fl

evol

and

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

11n.

a.n.

a.NL

31Ut

rech

tNU

TS 2

(3) P

U0.

95LF

S A_

B33

5ip

0.92

ip0.

0553

0.7

LFS

98.9

4LF

SN

L310

Utre

cht

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

05n.

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a.NL

32No

ord-

Hol

land

NUTS

2(3

) PU

1.84

LFS

A_B

1098

ip1.

46ip

0.11

1208

.9LF

S98

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LFS

NL3

21K

op v

an N

oord

-Hol

land

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

15n.

a.n.

a.N

L322

Alk

maa

r en

omge

ving

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

13n.

a.n.

a.N

L323

IJm

ond

NU

TS 3

(3) P

Un.

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a.n.

a.0.

18n.

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a.N

L324

Agg

lom

erat

ie H

aarle

mN

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) PU

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0.13

n.a.

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NL3

25Za

anst

reek

NU

TS 3

(3) P

Un.

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a.n.

a.0.

03n.

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a.N

L326

Gro

ot-A

mst

erda

mN

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0.03

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27H

et G

ooi e

n V

echt

stre

ekN

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) PU

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n.a.

n.a.

0.06

n.a.

n.a.

NL33

Zuid

-Hol

land

NUTS

2(3

) PU

2.77

LFS

A_B

2768

ip3.

08ip

0.10

1524

.9LF

S96

.97

LFS

NL3

31A

gglo

mer

atie

Lei

den

en B

olle

nstre

ekN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.47

n.a.

n.a.

NL3

32A

gglo

mer

atie

's -G

rave

nhag

eN

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3(3

) PU

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n.a.

n.a.

0.09

n.a.

n.a.

NL3

33D

elft

en W

estla

ndN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.14

n.a.

n.a.

NL3

34O

ost-Z

uid-

Hol

land

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

01n.

a.n.

a.N

L335

Gro

ot-R

ijnm

ond

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

08n.

a.n.

a.N

L336

Zuid

oost

Zui

d-H

olla

ndN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.05

n.a.

n.a.

NL34

Zeel

and

NUTS

2(2

) IR

4.33

LFS

A_B

355

ip4.

32ip

0.14

156.

4LF

S95

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LFS

NL3

41Ze

euw

sch-

Vla

ande

ren

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

19n.

a.n.

a.N

L342

Ove

rig Z

eela

ndN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.11

n.a.

n.a.

NL41

Noor

d-B

raba

ntNU

TS 2

(3) P

U2.

86LF

S A_

B12

36ip

2.07

ip0.

0310

83.9

LFS

96.8

3LF

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L411

Wes

t-Noo

rd-B

raba

ntN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.06

n.a.

n.a.

NL4

12M

idde

n-N

oord

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bant

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

02n.

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a.N

L413

Noo

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st-N

oord

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bant

NU

TS 3

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Un.

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02n.

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a.N

L414

Zuid

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ntN

UTS

3(3

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n.a.

n.a.

n.a.

0.01

n.a.

n.a.

NL42

Lim

burg

(NL)

NUTS

2(3

) PU

3.28

LFS

A_B

663

ip2.

64ip

0.31

480.

7LF

S96

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LFS

NL4

21N

oord

-Lim

burg

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

09n.

a.n.

a.N

L422

Mid

den-

Lim

burg

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

16n.

a.n.

a.N

L423

Zuid

-Lim

burg

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

79n.

a.n.

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11Bu

rgen

land

NUTS

2(1

) PR

8.91

264.

3i

5.77

i1.

2893

91.0

9A

T111

Mitt

elbu

rgen

land

NU

TS 3

(1) P

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a.n.

a.n.

a.0.

8210

.890

.00

AT1

12N

ordb

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nlan

dN

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3(1

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n.a.

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0.33

5391

.38

AT1

13S

üdbu

rgen

land

NU

TS 3

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a.n.

a.2.

4429

.290

.97

AT12

Nied

erös

terr

eich

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8.01

1247

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4.07

i0.

1957

0.3

91.9

7A

T121

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tvie

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isen

wur

zen

NU

TS 3

(1) P

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0879

86.7

2A

T122

Nie

derö

ster

reic

h-S

üdN

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3(2

) IR

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n.a.

n.a.

0.03

91.3

94.8

1A

T123

San

kt P

ölte

nN

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n.a.

n.a.

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0.16

72.1

95.1

2A

T124

Wal

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NU

TS 3

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a.n.

a.n.

a.0.

0675

.285

.45

AT1

25W

einv

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lN

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n.a.

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0.48

31.1

84.7

4A

T126

Wie

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mla

nd/N

ordt

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NU

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4586

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.79

AT1

27W

iene

r Um

land

/Süd

teil

NU

TS 3

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3113

5.4

97.1

3AT

13W

ien

NUTS

2(3

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0.50

134.

7i

0.25

i0.

1988

7.6

99.5

0A

T130

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nN

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) PU

n.a.

n.a.

n.a.

0.19

887.

699

.50

AT21

Kärn

ten

NUTS

2(1

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6.11

365.

2i

3.22

i1.

0822

393

.89

AT2

11K

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ach

NU

TS 3

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a.1.

0913

2.2

97.0

6A

T212

Obe

rkär

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NU

TS 3

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1342

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AT2

13U

nter

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ten

NU

TS 3

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0948

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AT22

Stei

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ark

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2(1

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7.30

753.

1i

3.06

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9948

8.9

92.6

8A

T221

Gra

zN

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0.57

214.

197

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AT2

22Li

ezen

NU

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0030

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AT2

23Ö

stlic

he O

bers

teie

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kN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.02

64.1

96.1

0A

T224

Ost

stei

erm

ark

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.2.

8385

.384

.54

AT2

25W

est-

und

Süd

stei

erm

ark

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.2.

3057

.787

.29

AT2

26W

estli

che

Obe

rste

ierm

ark

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0736

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.17

AT31

Obe

röst

erre

ich

NUTS

2(2

) IR

5.75

767.

5i

2.43

i0.

2060

894

.25

AT3

11In

nvie

rtel

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

1391

.689

.98

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

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mod

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G A

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I - G

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G A

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I - G

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%To

n/ha

/yea

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ousa

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peop

le e

mpl

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%%

Mill

ion

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s(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

Nat

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l Acc

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s (L

FS fo

r NL,

RO

)JR

CE

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cono

mic

Acc

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sE

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cono

mic

Acc

ount

sE

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tat

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tE

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tat

Sha

re o

f se

cond

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and

terti

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sect

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in to

tal e

mpl

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Gro

ss V

alue

Add

ed in

prim

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sect

or (=

A)

Sha

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f prim

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A) i

n to

tal G

VA

Are

as a

t ris

k of

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n se

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Sha

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tal

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Obj

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il:

Area

s at

Ris

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l Er

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Obj

ectiv

e 28

- Em

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men

t D

evel

opm

ent o

f Non

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l Se

ctor

(Obj

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e 28

) - E

mpl

oym

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Dev

elop

men

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on-A

gric

ultu

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Sect

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(Obj

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- Em

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rimar

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Obj

ectiv

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- Eco

nom

ic

Dev

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rimar

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ctor

(Obj

ectiv

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Deve

lopm

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f Prim

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Sect

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235

Indi

cato

r

Mea

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men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

AT3

12Li

nz-W

els

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

6031

4.5

98.0

1A

T313

Müh

lvie

rtel

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0652

83.4

7A

T314

Ste

yr-K

irchd

orf

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2961

93.4

2A

T315

Trau

nvie

rtel

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0689

93.7

8AT

32Sa

lzbu

rgNU

TS 2

(2) I

R4.

2017

7.4

i1.

26i

0.00

257.

895

.80

AT3

21Lu

ngau

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

007.

588

.24

AT3

22P

inzg

au-P

onga

uN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.00

70.7

93.8

9A

T323

Sal

zbur

g un

d U

mge

bung

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0017

9.6

96.9

2AT

33Ti

rol

NUTS

2(1

) PR

5.01

247.

4i

1.45

i0.

0130

9.2

94.9

9A

T331

Auß

erfe

rnN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.01

14.5

95.3

9A

T332

Inns

bruc

kN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.02

136.

497

.43

AT3

33O

sttir

olN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.01

17.7

89.8

5A

T334

Tiro

ler O

berla

ndN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.00

38.7

93.0

3A

T335

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NU

TS 3

(1) P

Rn.

a.n.

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a.0.

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1.9

93.4

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34Vo

rarlb

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NUTS

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2.36

77.9

i0.

86i

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161.

497

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AT3

41B

lude

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UTS

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n.a.

n.a.

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0.04

36.2

94.7

6A

T342

Rhe

inta

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egeb

iet

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0612

5.3

98.5

1PL

11Ló

dzki

eNU

TS 2

(2) I

R21

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319.

42.

921.

0272

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78.6

5P

L111

Lódz

kiN

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n.a.

n.a.

1.14

225.

7170

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12P

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owsk

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icki

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

8920

7.83

67.7

2P

L113

Mia

sto

Lódz

NU

TS 3

(3) P

Un.

a.n.

a.n.

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9928

9.66

99.2

5PL

12M

azow

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TS 2

(2) I

R15

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930.

42.

570.

5017

65.3

984

.28

PL1

21C

iech

anow

sko-

ploc

kiN

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3(1

) PR

n.a.

n.a.

n.a.

0.53

140.

1867

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PL1

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stro

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cki

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

4514

3.86

57.9

0P

L124

Rad

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UTS

3(2

) IR

n.a.

n.a.

n.a.

0.52

340.

3582

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PL1

26W

arsz

awsk

iN

UTS

3(1

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n.a.

n.a.

n.a.

0.51

153.

9165

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PL1

27M

iast

o W

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NU

TS 3

(3) P

Un.

a.n.

a.n.

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1998

7.09

99.5

2PL

21M

alop

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ieNU

TS 2

(2) I

R22

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264.

12.

040.

7284

8.93

77.5

4P

L211

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kow

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0.61

289.

9369

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12N

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n.a.

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n.a.

0.84

220.

5365

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13M

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4799

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10.

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8515

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1.17

156.

7684

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4588

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0.77

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1596

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NU

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1917

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37.7

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460.

5362

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PL3

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0.40

57.5

557

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PL3

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352

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0.67

283.

6968

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PL32

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29.7

517

9.7

2.59

0.94

491.

5970

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0.75

293.

773

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PL3

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NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

0719

7.89

66.0

1PL

33Sw

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33.2

723

8.7

5.08

0.75

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266

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30S

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0.75

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PL34

Podl

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TS 2

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R33

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257.

65.

980.

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2.29

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8P

L341

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0.44

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PL3

42Lo

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NU

TS 3

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Rn.

a.n.

a.n.

a.0.

7553

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54.9

3PL

41W

ielk

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NUTS

2(1

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17.6

982

4.1

5.15

0.91

1003

.18

82.2

8P

L411

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n.a.

n.a.

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0.95

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579

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PL4

12P

ozna

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NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

8530

9.67

81.4

2P

L413

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TS 3

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9419

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72.6

5P

L414

Kon

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n.a.

n.a.

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0.95

97.3

769

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PL4

15M

iast

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ozna

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UTS

3(3

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n.a.

n.a.

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1.09

298.

8799

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PL42

Zach

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ieNU

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R9.

3528

6.2

3.68

0.47

465.

2890

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PL4

21S

zcze

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kiN

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n.a.

n.a.

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0.42

319.

6191

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PL4

22K

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n.a.

n.a.

n.a.

0.52

145.

6787

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PL43

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10.7

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8.5

3.15

0.74

264.

3689

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PL4

31G

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wsk

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UTS

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n.a.

n.a.

n.a.

0.49

103.

7888

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PL4

32Zi

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ski

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

9416

0.6

89.4

8PL

51Do

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TS 2

(2) I

R9.

2836

1.2

2.59

0.58

837.

7790

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PL5

11Je

leni

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wal

brzy

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NU

TS 3

(2) I

Rn.

a.n.

a.n.

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5933

3.71

88.8

5P

L512

Legn

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a.n.

a.n.

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5315

0.47

89.8

9P

L513

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ski

NU

TS 3

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6491

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PL5

14M

iast

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rocl

awN

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3(3

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n.a.

n.a.

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0.18

261.

999

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PL52

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eNU

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(2) I

R17

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190.

64.

720.

7325

3.94

82.4

9P

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Opo

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NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

7325

3.94

82.4

9PL

61Ku

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sko-

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TS 2

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R17

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432.

94.

950.

5454

8.89

82.0

2P

L611

Byd

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3(2

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n.a.

n.a.

n.a.

0.51

289.

9186

.15

DG

AG

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DG

AG

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G A

GR

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C -

Pes

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G A

GR

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2D

G A

GR

I - G

2

%To

n/ha

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Mill

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001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

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Nat

iona

l Acc

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sN

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ccou

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(LFS

for N

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Nat

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Acc

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and

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Gro

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Add

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Are

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Obj

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Ris

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Obj

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Obj

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Dev

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(Obj

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lopm

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Sect

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236

Indi

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Mea

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Uni

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Cal

cula

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NU

TS c

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labe

lN

UTS

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G O

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(Con

text

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PL6

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0.58

258.

9777

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Maz

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230.

5332

6.31

82.3

4P

L621

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0.59

116.

3981

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PL6

22O

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0.54

156.

9685

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PL6

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NU

TS 3

(1) P

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a.n.

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4552

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75.6

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9.44

215.

82.

150.

4862

0.61

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3P

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NU

TS 3

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5111

8.58

85.7

1P

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TS 3

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4520

2.46

82.0

2P

L633

Gda

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299.

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4315

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PT1

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5SE

08Ö

vre

Norr

land

NUTS

2(1

) PR

2.81

420.

63.

71n.

a.22

5.1

97.1

9S

E08

1V

äste

rbot

tens

län

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.n.

a.11

3.4

96.5

9S

E08

2N

orrb

otte

ns lä

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

n.a.

111.

797

.81

SE09

Smål

and

med

öar

naNU

TS 2

(1) P

R4.

2661

3.1

3.33

n.a.

373

95.6

9S

E09

1Jö

nköp

ings

län

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.n.

a.16

0.8

97.0

4S

E09

2K

rono

berg

s lä

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

n.a.

85.1

95.9

4S

E09

3K

alm

ar lä

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

n.a.

101.

894

.43

SE

094

Got

land

s lä

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

n.a.

25.3

91.6

7SE

0AVä

stsv

erig

eNU

TS 2

(1) P

R2.

1358

5.6

1.35

n.a.

849.

897

.72

SE

0A1

Hal

land

s lä

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

n.a.

114.

695

.34

SE

0A2

Väs

tra G

ötal

ands

län

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.n.

a.73

5.2

98.1

1U

KC1

Tees

Val

ley

and

Durh

amNU

TS 2

(3) P

U0.

6620

0184

.30.

420.

5145

3.3

2001

99.3

420

01U

KC

11H

artle

pool

and

Sto

ckto

nN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.91

115.

620

0199

.66

2001

UK

C12

Sou

th T

eesi

deN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.53

104.

320

0199

.43

2001

UK

C13

Dar

lingt

onN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.40

51.3

2001

99.6

120

01

UK

C14

Dur

ham

CC

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4818

2.1

2001

99.0

220

01

UK

C2No

rthu

mbe

rland

, Tyn

e an

d W

ear

NUTS

2(3

) PU

0.82

2001

181.

30.

610.

5460

7.3

2001

99.1

820

01U

KC

21N

orth

umbe

rland

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

5210

9.3

2001

96.1

320

01

UK

C22

Tyne

side

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

7337

920

0199

.89

2001

UK

C23

Sun

derla

ndN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.54

119

2001

99.8

320

01

UK

D1Cu

mbr

iaNU

TS 2

(2) I

R3.

8620

0126

42.

960.

0520

4.8

2001

96.2

020

01U

KD

11W

est C

umbr

iaN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.06

86.4

2001

97.3

020

01

UK

D12

Eas

t Cum

bria

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0411

8.4

2001

95.4

120

01U

KD2

Ches

hire

NUTS

2(3

) PU

1.24

2001

302.

11.

070.

2152

0.4

2001

98.7

520

01

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%%

Mill

ion

euro

s(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)JR

CE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat

Eur

osta

tE

uros

tat

Sha

re o

f se

cond

ary

and

terti

ary

sect

ors

in to

tal e

mpl

oym

ent

Gro

ss V

alue

Add

ed in

prim

ary

sect

or (=

A)

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal G

VA

Are

as a

t ris

k of

soi

l er

osio

n E

mpl

oym

ent i

n se

cond

ary

and

terti

ary

sect

ors

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal

empl

oym

ent

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

or

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

238

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

UK

D21

Hal

ton

and

War

ringt

onN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.70

173.

420

0199

.48

2001

UK

D22

Che

shire

CC

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

1834

720

0198

.38

2001

UK

D3G

reat

er M

anch

este

rNU

TS 2

(3) P

U0.

2620

0166

.80.

110.

1212

55.2

2001

99.7

420

01U

KD

31G

reat

er M

anch

este

r Sou

thN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.09

779.

420

0199

.73

2001

UK

D32

Gre

ater

Man

ches

ter N

orth

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

1347

5.8

2001

99.7

520

01

UK

D4La

ncas

hire

NUTS

2(3

) PU

1.80

2001

419.

81.

440.

2265

4.6

2001

98.2

120

01U

KD

41B

lack

burn

with

Dar

wen

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0366

.520

0199

.85

2001

UK

D42

Bla

ckpo

olN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.03

70.8

2001

99.5

820

01

UK

D43

Lanc

ashi

re C

CN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.23

517.

320

0197

.83

2001

UK

D5M

erse

ysid

eNU

TS 2

(3) P

U0.

3720

0146

.10.

181.

4157

2.8

2001

99.6

320

01U

KD

51E

ast M

erse

ysid

eN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.97

121.

620

0199

.67

2001

UK

D52

Live

rpoo

lN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.14

227.

620

0199

.78

2001

UK

D53

Sef

ton

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

0811

1.3

2001

99.2

020

01

UK

D54

Wirr

alN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.47

112.

320

0199

.73

2001

UKE1

East

Rid

ing

and

Nor

th L

inco

lnsh

ireNU

TS 2

(2) I

R2.

3920

0140

8.7

2.24

0.42

371.

520

0197

.63

2001

UK

E11

City

of K

ings

ton

upon

Hul

lN

UTS

3(3

) PU

n.a.

n.a.

n.a.

n.a.

123.

720

0199

.84

2001

UK

E12

Eas

t Rid

ing

of Y

orks

hire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4110

3.2

2001

93.8

220

01

UK

E13

Nor

th a

nd N

orth

Eas

t Lin

coln

shire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

4514

4.6

2001

98.6

420

01

UKE2

Nort

h Yo

rksh

ireNU

TS 2

(2) I

R3.

5920

0152

9.6

3.03

0.34

393.

220

0196

.47

2001

UK

E21

Yor

kN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.83

110.

620

0199

.19

2001

UK

E22

Nor

th Y

orks

hire

CC

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3328

2.6

2001

95.4

420

01

UKE3

Sout

h Yo

rksh

ireNU

TS 2

(3) P

U0.

5820

0181

.10.

330.

4554

5.3

2001

99.4

220

01U

KE

31B

arns

ley,

Don

cast

er a

nd R

othe

rham

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

5129

320

0199

.15

2001

UK

E32

She

ffiel

dN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.23

252.

320

0199

.72

2001

UKE4

Wes

t Yor

kshi

reNU

TS 2

(3) P

U0.

5320

0113

5.2

0.27

0.16

1030

.620

0199

.47

2001

UK

E41

Bra

dfor

dN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.02

217.

620

0199

.22

2001

UK

E42

Leed

sN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.21

422.

820

0199

.62

2001

UK

E43

Cal

derd

ale,

Kirk

lees

and

Wak

efie

ldN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.19

390.

220

0199

.44

2001

UK

F1De

rbys

hire

and

Not

tingh

amsh

ireNU

TS 2

(3) P

U1.

0120

0132

2.8

0.74

0.63

914.

520

0199

.00

2001

UK

F11

Der

byN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.62

128.

920

0199

.92

2001

UK

F12

Eas

t Der

bysh

ireN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.32

108.

420

0199

.45

2001

UK

F13

Sou

th a

nd W

est D

erby

shire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1420

4.2

2001

98.3

620

01

UK

F14

Not

tingh

amN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.16

191.

420

0199

.90

2001

UK

F15

Nor

th N

ottin

gham

shire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.1.

3216

8.4

2001

97.7

920

01

UK

F16

Sou

th N

ottin

gham

shire

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

9711

3.2

2001

99.0

420

01

UK

F2Le

ices

ters

hire

, Rut

land

and

Nor

than

tsNU

TS 2

(3) P

U1.

3620

0132

2.8

0.84

0.39

771

2001

98.6

620

01U

KF2

1Le

ices

ter C

ityN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.32

169.

420

0199

.82

2001

UK

F22

Leic

este

r CC

and

Rut

land

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

5127

7.2

2001

97.9

220

01

UK

F23

Nor

tham

pton

shire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

2732

4.4

2001

98.6

920

01

UK

F3Li

ncol

nshi

reNU

TS 2

(2) I

R6.

0920

0172

0.4

5.93

0.55

273.

620

0194

.12

2001

UK

F30

Linc

olns

hire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

5527

3.6

2001

94.1

220

01

UKG

1He

refo

rdsh

ire, W

orce

ster

shire

and

War

ksNU

TS 2

(2) I

R3.

0220

0172

5.2

2.67

0.35

597.

220

0197

.03

2001

UK

G11

Her

efor

dshi

reN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.22

78.8

2001

91.6

320

01

UK

G12

Wor

cest

ersh

ireN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.32

268.

220

0197

.88

2001

UK

G13

War

wic

kshi

reN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.53

250.

220

0197

.93

2001

UKG

2Sh

rops

hire

and

Sta

fford

shire

NUTS

2(2

) IR

2.22

2001

569.

31.

940.

4867

6.8

2001

97.8

020

01U

KG

21Th

e W

reki

nN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.17

81.5

2001

99.1

520

01

UK

G22

Shr

opsh

ire C

CN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.36

126.

520

0194

.76

2001

UK

G23

Sto

ke-o

n-Tr

ent

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0111

5.7

2001

99.9

120

01

UK

G24

Sta

fford

shire

CC

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

5735

3.1

2001

97.9

520

01

UKG

3W

est M

idla

nds

NUTS

2(3

) PU

0.22

2001

270.

040.

4213

00.7

2001

99.7

820

01U

KG

31B

irmin

gham

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

6352

2.7

2001

99.8

720

01

UK

G32

Sol

ihul

lN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.42

110

2001

99.5

520

01

UK

G33

Cov

entry

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2615

8.1

2001

99.6

820

01

UK

G34

Dud

ley

and

San

dwel

lN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.01

272.

320

0199

.71

2001

UK

G35

Wal

sall

and

Wol

verh

ampt

onN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.29

237.

620

0199

.83

2001

UK

H1Ea

st A

nglia

NUTS

2(2

) IR

3.01

2001

1248

.42.

500.

4310

81.2

2001

97.0

420

01U

KH

11P

eter

boro

ugh

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2992

.620

0199

.04

2001

UK

H12

Cam

brid

gesh

ire C

CN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.32

287.

820

0197

.43

2001

UK

H13

Nor

folk

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

5436

3.1

2001

95.8

620

01

UK

H14

Suf

folk

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3833

7.7

2001

97.4

620

01

UK

H2Be

dfor

dshi

re, H

ertfo

rdsh

ireNU

TS 2

(3) P

U0.

6720

0123

2.2

0.51

0.42

838

2001

99.3

420

01U

KH

21Lu

ton

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2188

2001

99.8

920

01

UK

H22

Bed

ford

shire

CC

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4917

2.1

2001

98.6

820

01

UK

H23

Her

tford

shire

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3757

7.9

2001

99.4

520

01

UK

H3Es

sex

NUTS

2(3

) PU

1.48

2001

354.

61.

050.

2869

720

0198

.54

2001

UK

H31

Sou

then

d-on

-Sea

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.72

2001

99.5

920

01

UK

H32

Thur

rock

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4059

.420

0199

.83

2001

UK

H33

Ess

ex C

CN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.28

565.

620

0198

.28

2001

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%%

Mill

ion

euro

s(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)JR

CE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat

Eur

osta

tE

uros

tat

Sha

re o

f se

cond

ary

and

terti

ary

sect

ors

in to

tal e

mpl

oym

ent

Gro

ss V

alue

Add

ed in

prim

ary

sect

or (=

A)

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal G

VA

Are

as a

t ris

k of

soi

l er

osio

n E

mpl

oym

ent i

n se

cond

ary

and

terti

ary

sect

ors

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal

empl

oym

ent

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

or

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

239

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

UKI

1In

ner L

ondo

nNU

TS 2

(3) P

U0.

1220

018

0.00

n.a.

2562

2001

99.8

820

01U

KI1

1In

ner L

ondo

n - W

est

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.15

97.2

2001

99.8

520

01

UK

I12

Inne

r Lon

don

- Eas

tN

UTS

3(3

) PU

n.a.

n.a.

n.a.

n.a.

964.

820

0199

.92

2001

UKI

2O

uter

Lon

don

NUTS

2(3

) PU

0.29

2001

57.2

0.05

0.81

1984

2001

99.7

120

01U

KI2

1O

uter

Lon

don

- Eas

t and

Nor

th E

ast

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4755

8.1

2001

99.6

420

01

UK

I22

Out

er L

ondo

n - S

outh

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

3351

0.5

2001

99.5

320

01

UK

I23

Out

er L

ondo

n - W

est a

nd N

orth

Wes

tN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.02

915.

420

0199

.86

2001

UKJ1

Berk

shire

, Buc

ks a

nd O

xfor

dshi

reNU

TS 2

(3) P

U1.

1020

0127

3.5

0.37

0.24

1254

2001

98.9

020

01U

KJ1

1B

erks

hire

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

1950

7.8

2001

99.4

320

01

UK

J12

Milt

on K

eyne

sN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.23

139.

720

0199

.22

2001

UK

J13

Buc

king

ham

shire

CC

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1825

6.8

2001

98.8

820

01

UK

J14

Oxf

ords

hire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

2934

9.7

2001

98.0

120

01

UKJ2

Surr

ey, E

ast a

nd W

est S

usse

xNU

TS 2

(3) P

U1.

8320

0148

8.2

0.68

0.20

1326

.920

0198

.18

2001

UK

J21

Brig

hton

and

Hov

eN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.14

147.

220

0199

.86

2001

UK

J22

Eas

t Sus

sex

CC

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1219

8.9

2001

97.5

520

01

UK

J23

Sur

rey

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0759

3.4

2001

98.6

420

01

UK

J24

Wes

t Sus

sex

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3638

7.4

2001

97.1

920

01

UKJ3

Ham

pshi

re a

nd Is

le o

f Wig

htNU

TS 2

(3) P

U1.

4820

0128

9.4

0.66

0.32

925.

420

0198

.53

2001

UK

J31

Por

tsm

outh

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.n.

a.12

0.3

2001

100.

0020

01

UK

J32

Sou

tham

pton

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0412

0.9

2001

99.4

220

01

UK

J33

Ham

pshi

re C

CN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.18

629.

220

0198

.22

2001

UK

J34

Isle

of W

ight

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

8155

2001

97.0

020

01

UKJ4

Kent

NUTS

2(3

) PU

2.71

2001

440.

51.

350.

3771

2.9

2001

97.3

220

01U

KJ4

1M

edw

ay T

owns

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

4810

0.3

2001

99.3

120

01

UK

J42

Ken

t CC

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

3761

2.6

2001

97.0

120

01

UK

K1G

louc

este

rshi

re, W

iltsh

ire a

nd N

orth

Som

erse

tNU

TS 2

(2) I

R1.

5420

0160

2.7

0.96

0.20

1184

.920

0198

.46

2001

UK

K11

City

of B

risto

lN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.06

258.

520

0199

.77

2001

UK

K12

Nor

th a

nd N

orth

Eas

t Som

erse

t, S

outh

Glo

uces

ters

hire

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2529

820

0198

.84

2001

UK

K13

Glo

uces

ters

hire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1928

1.9

2001

97.2

120

01

UK

K14

Sw

indo

nN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.50

122.

220

0199

.67

2001

UK

K15

Wilt

shire

CC

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1822

4.3

2001

97.4

420

01

UK

K2Do

rset

and

Som

erse

tNU

TS 2

(2) I

R4.

1320

0156

9.3

2.31

0.91

554.

920

0197

.18

2001

UK

K21

Bou

rnem

outh

and

Poo

leN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.12

155.

920

0199

.43

2001

UK

K22

Dor

set C

CN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.18

168.

420

0196

.34

2001

UK

K23

Som

erse

tN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.42

230.

620

0196

.32

2001

UK

K3Co

rnw

all a

nd Is

les

of S

cilly

NUTS

2(2

) IR

5.13

2001

291

3.66

0.08

213.

520

0194

.97

2001

UK

K30

Cor

nwal

l and

Isle

s of

Sci

llyN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.08

213.

520

0194

.97

2001

UK

K4De

von

NUTS

2(2

) IR

2.88

2001

483.

42.

290.

4250

0.5

2001

97.1

520

01U

KK

41P

lym

outh

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0312

4.4

2001

99.8

420

01

UK

K42

Torb

ayN

UTS

3(3

) PU

n.a.

n.a.

n.a.

1.18

58.9

2001

99.3

320

01

UK

K43

Dev

on C

CN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.41

317.

220

0195

.74

2001

UK

L1W

est W

ales

and

The

Val

leys

NUTS

2(2

) IR

3.43

2001

496.

21.

640.

0669

4.7

2001

96.5

520

01U

KL1

1Is

le o

f Ang

lese

yN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.05

22.4

2001

94.5

120

01

UK

L12

Gw

yned

dN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.04

48.7

2001

94.5

620

01

UK

L13

Con

wy

and

Den

bigh

shire

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0278

.820

0194

.83

2001

UK

L14

Sou

th W

est W

ales

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

0713

5.4

2001

90.6

920

01

UK

L15

Cen

tral V

alle

ysN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.06

101.

320

0199

.70

2001

UK

L16

Gw

ent V

alle

ysN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.12

112.

720

0199

.56

2001

UK

L17

Brid

gend

and

Nea

th P

ort T

albo

tN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.05

9420

0198

.84

2001

UK

L18

Sw

anse

aN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.14

101.

420

0199

.41

2001

UK

L2Ea

st W

ales

NUTS

2(2

) IR

2.51

2001

289.

41.

090.

0653

8.8

2001

97.4

720

01U

KL2

1M

onm

outh

shire

and

New

port

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1911

820

0198

.25

2001

UK

L22

Car

diff

and

Val

e of

Gla

mor

gan

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

2224

5.1

2001

99.3

120

01

UK

L23

Flin

tshi

re a

nd W

rexh

amN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.06

124

2001

98.3

320

01

UK

L24

Pow

ysN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.03

51.7

2001

86.4

520

01

UKM

1No

rth

East

ern

Scot

land

NUTS

2(2

) IR

5.06

2001

260.

81.

610.

5128

6.9

2001

94.9

420

01U

KM

10A

berd

een

City

, Abe

rdee

nshi

re a

nd N

orth

Eas

t Mor

ayN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.51

286.

920

0194

.94

2001

UKM

2Ea

ster

n Sc

otla

ndNU

TS 2

(2) I

R2.

1920

0171

8.8

1.50

0.86

963.

720

0197

.82

2001

UK

M21

Ang

us a

nd D

unde

e C

ityN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.70

117

2001

97.8

320

01

UK

M22

Cla

ckm

anna

nshi

re a

nd F

ifeN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.76

164.

220

0197

.80

2001

UK

M23

Eas

t Lot

hian

and

Mid

loth

ian

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.2.

2758

.620

0196

.38

2001

UK

M24

The

Sco

ttish

Bor

ders

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

9644

2001

89.9

820

01

UK

M25

Edi

nbur

gh, C

ity o

fN

UTS

3(3

) PU

n.a.

n.a.

n.a.

5.62

329.

420

0199

.58

2001

UK

M26

Falk

irkN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.83

62.1

2001

99.5

220

01

UK

M27

Per

th a

nd K

inro

ss, S

tirlin

gN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.37

112.

120

0195

.65

2001

UK

M28

Wes

t Lot

hian

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.1.

2076

.320

0198

.32

2001

UKM

3So

uth

Wes

tern

Sco

tland

NUTS

2(3

) PU

1.28

2001

416.

60.

800.

1010

94.1

2001

98.7

220

01U

KM

31E

ast a

nd W

est D

unba

rtons

hire

, Hel

ensb

urgh

and

Lom

ond

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0583

.620

0198

.93

2001

UK

M32

Dum

fries

and

Gal

low

ayN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.05

6420

0191

.56

2001

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%%

Mill

ion

euro

s(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)JR

CE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat

Eur

osta

tE

uros

tat

Sha

re o

f se

cond

ary

and

terti

ary

sect

ors

in to

tal e

mpl

oym

ent

Gro

ss V

alue

Add

ed in

prim

ary

sect

or (=

A)

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal G

VA

Are

as a

t ris

k of

soi

l er

osio

n E

mpl

oym

ent i

n se

cond

ary

and

terti

ary

sect

ors

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal

empl

oym

ent

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

or

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

240

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

UK

M33

Eas

t Ayr

shire

and

Nor

th A

yrsh

ire M

ainl

and

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1388

.920

0197

.91

2001

UK

M34

Gla

sgow

City

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0341

0.3

2001

99.8

320

01

UK

M35

Inve

rcly

de, E

ast R

enfre

wsh

ire a

nd R

enfre

wsh

ireN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.83

141.

120

0199

.30

2001

UK

M36

Nor

th L

anar

kshi

reN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.05

121.

720

0199

.43

2001

UK

M37

Sou

th A

yrsh

ireN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.15

48.3

2001

97.3

820

01

UK

M38

Sou

th L

anar

kshi

reN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.06

136.

220

0198

.70

2001

UKM

4Hi

ghla

nds

and

Isla

nds

NUTS

2(1

) PR

8.11

2001

262.

44.

320.

0116

7.9

2001

91.9

020

01U

KM

41C

aith

ness

and

Sut

herla

nd, R

oss

and

Cro

mar

tyN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.01

33.9

2001

91.3

720

01

UK

M42

Inve

rnes

s an

d N

airn

, Mor

ay, B

aden

och

and

Stra

thsp

eyN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.01

58.7

2001

95.2

920

01

UK

M43

Loch

aber

, Sky

e an

d Lo

chal

sh, A

rgyl

l and

The

Isla

nds

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0145

2001

90.7

320

01

UK

M44

Com

hairl

e N

an E

ilan

(Wes

tern

Isle

s)N

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.00

11.2

2001

90.3

220

01

UK

M45

Ork

ney

Isla

nds

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

018.

620

0183

.50

2001

UK

M46

She

tland

Isla

nds

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.n.

a.10

.520

0189

.74

2001

UK

N0No

rthe

rn Ir

elan

dNU

TS 2

(2) I

R4.

6320

0172

0.4

2.13

0.24

730.

520

0195

.35

2001

UK

N01

Bel

fast

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

0619

5.8

2001

99.9

520

01

UK

N02

Out

er B

elfa

stN

UTS

3(3

) PU

n.a.

n.a.

n.a.

0.27

137.

120

0198

.35

2001

UK

N03

Eas

t of N

orth

ern

Irela

ndN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.17

156.

320

0194

.21

2001

UK

N04

Nor

th o

f Nor

ther

n Ire

land

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

6910

1.2

2001

93.4

420

01

UK

N05

Wes

t and

Sou

th o

f Nor

ther

n Ire

land

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

0714

0.1

2001

89.4

620

01

BG

11Se

vero

zapa

den

NUTS

2(1

) PR

43.1

019

122

.03

0.39

114.

656

.90

BG

111

Vid

inN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.23

2551

.44

BG

112

Mon

tana

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2936

.256

.04

BG

113

Vra

tsa

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

6053

.460

.54

BG

12Se

vere

n ts

entr

alen

NUTS

2(1

) PR

31.1

534

5.6

18.0

81.

0231

2.2

68.8

3B

G12

1P

leve

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.41

73.3

61.7

0B

G12

2Lo

vech

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

7442

.665

.54

BG

123

Vel

iko

Tarn

ovo

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

0075

.369

.79

BG

124

Gab

rovo

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

9848

.478

.83

BG

125

Rus

eN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.95

72.6

72.2

4B

G13

Seve

roiz

toch

enNU

TS 2

(1) P

R33

.32

390.

519

.18

0.93

312.

266

.68

BG

131

Var

naN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.28

135.

986

.40

BG

132

Dob

rich

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

4046

65.6

2B

G13

3S

hum

enN

UTS

3(2

) IR

n.a.

n.a.

n.a.

1.44

46.4

63.3

9B

G13

4Ta

rgov

isht

eN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.10

28.9

54.8

4B

G13

5R

azgr

adN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.26

29.1

50.7

0B

G13

6S

ilist

raN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.22

2645

.14

BG21

Yugo

zapa

den

NUTS

2(2

) IR

11.4

720

3.1

3.59

0.18

776.

288

.53

BG

211

Sof

ia (s

tolit

sa)

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

1553

3.8

97.6

4B

G21

2S

ofia

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

2464

.669

.69

BG

213

Bla

goev

grad

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

1098

.272

.74

BG

214

Per

nik

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

1936

.276

.53

BG

215

Kyu

sten

dil

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

1843

.678

.84

BG

22Yu

zhen

tsen

tral

enNU

TS 2

(1) P

R28

.81

445.

415

.12

0.31

503.

971

.17

BG

221

Plo

vdiv

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

3219

3.7

74.9

3B

G22

2S

tara

Zag

ora

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

3610

8.9

77.7

3B

G22

3H

asko

voN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.48

64.6

65.4

5B

G22

4P

azar

dzhi

kN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.17

6470

.80

BG

225

Sm

olya

nN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.03

37.1

62.4

6B

G22

6K

ardz

hali

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

4135

.858

.50

BG

23Yu

goiz

toch

enNU

TS 2

(1) P

R29

.54

192

15.8

60.

6519

0.4

70.3

9B

G23

1B

urga

sN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.75

118.

378

.92

BG

232

Sliv

enN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.56

42.7

61.1

7B

G23

3Y

ambo

lN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.53

29.3

57.7

9R

O01

Nord

-Est

NUTS

2(1

) PR

51.3

2LF

S A_

B11

18.2

20.7

30.

4783

6.4

LFS

48.6

8LF

SR

O01

1B

acau

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

60n.

a.n.

a.R

O01

2B

otos

ani

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

44n.

a.n.

a.R

O01

3Ia

siN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.51

n.a.

n.a.

RO

014

Nea

mt

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

37n.

a.n.

a.R

O01

5S

ucea

vaN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.35

n.a.

n.a.

RO

016

Vas

lui

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

59n.

a.n.

a.R

O02

Sud-

Est

NUTS

2(2

) IR

38.1

0LF

S A_

B80

3.3

16.2

30.

2973

2.3

LFS

61.9

0LF

SR

O02

1B

raila

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

29n.

a.n.

a.R

O02

2B

uzau

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

17n.

a.n.

a.R

O02

3C

onst

anta

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

41n.

a.n.

a.R

O02

4G

alat

iN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.41

n.a.

n.a.

RO

025

Tulc

eaN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.28

n.a.

n.a.

RO

026

Vra

ncea

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

17n.

a.n.

a.R

O03

Sud

NUTS

2(1

) PR

44.3

0LF

S A_

B86

3.6

15.8

70.

2583

6.1

LFS

55.7

0LF

SR

O03

1A

rges

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

15n.

a.n.

a.

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%%

Mill

ion

euro

s(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

(2

001

for H

U, U

K)

2004

2002

2002

2002

2002

2002

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

sN

atio

nal A

ccou

nts

(LFS

for N

L, R

O)

Nat

iona

l Acc

ount

s (L

FS fo

r NL,

RO

)JR

CE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat E

cono

mic

Acc

ount

sE

uros

tat

Eur

osta

tE

uros

tat

Sha

re o

f se

cond

ary

and

terti

ary

sect

ors

in to

tal e

mpl

oym

ent

Gro

ss V

alue

Add

ed in

prim

ary

sect

or (=

A)

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal G

VA

Are

as a

t ris

k of

soi

l er

osio

n E

mpl

oym

ent i

n se

cond

ary

and

terti

ary

sect

ors

Sha

re o

f prim

ary

sect

or (=

A) i

n to

tal

empl

oym

ent

Obj

ectiv

e 22

- So

il:

Area

s at

Ris

k of

Soi

l Er

osio

n

Obj

ectiv

e 28

- Em

ploy

men

t D

evel

opm

ent o

f Non

-Agr

icul

tura

l Se

ctor

(Obj

ectiv

e 28

) - E

mpl

oym

ent

Dev

elop

men

t of N

on-A

gric

ultu

ral

Sect

or

(Obj

ectiv

e 8)

- Em

ploy

men

t De

velo

pmen

t of P

rimar

y Se

ctor

Obj

ectiv

e 9

- Eco

nom

ic

Dev

elop

men

t of P

rimar

y Se

ctor

(Obj

ectiv

e 9)

- Ec

onom

ic

Deve

lopm

ent o

f Prim

ary

Sect

or

241

Indi

cato

r

Mea

sure

men

tS

ourc

e

Year

Uni

t

Cal

cula

tion

NU

TS c

ode

labe

lN

UTS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

RO

032

Cal

aras

iN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.29

n.a.

n.a.

RO

033

Dâm

bovi

taN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.19

n.a.

n.a.

RO

034

Giu

rgiu

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

36n.

a.n.

a.R

O03

5Ia

lom

itaN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.29

n.a.

n.a.

RO

036

Prah

ova

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

17n.

a.n.

a.R

O03

7Te

leor

man

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

32n.

a.n.

a.RO

04Su

d-Ve

stNU

TS 2

(1) P

R51

.33

LFS

A_B

483.

112

.76

0.56

552

LFS

48.6

7LF

SR

O04

1D

olj

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

78n.

a.n.

a.R

O04

2G

orj

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

33n.

a.n.

a.R

O04

3M

ehed

inti

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.1.

05n.

a.n.

a.R

O04

4O

ltN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.50

n.a.

n.a.

RO

045

Vâlc

eaN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.17

n.a.

n.a.

RO05

Vest

NUTS

2(2

) IR

27.8

8LF

S A_

B63

5.7

14.8

50.

1660

5.4

LFS

72.1

2LF

SR

O05

1Ar

adN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.11

n.a.

n.a.

RO

052

Car

as-S

ever

inN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.13

n.a.

n.a.

RO

053

Hun

edoa

raN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.13

n.a.

n.a.

RO

054

Tim

isN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.25

n.a.

n.a.

RO06

Nord

-Ves

tNU

TS 2

(1) P

R34

.22

LFS

A_B

842.

916

.08

0.35

797.

8LF

S65

.77

LFS

RO

061

Biho

rN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.12

n.a.

n.a.

RO

062

Bist

rita-

Nas

aud

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

26n.

a.n.

a.R

O06

3C

luj

NU

TS 3

(2) I

Rn.

a.n.

a.n.

a.0.

54n.

a.n.

a.R

O06

4M

aram

ures

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

21n.

a.n.

a.R

O06

5Sa

tu M

are

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

44n.

a.n.

a.R

O06

6Sa

laj

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

74n.

a.n.

a.RO

07Ce

ntru

NUTS

2(2

) IR

26.1

1LF

S A_

B71

7.3

12.9

41.

0179

3.1

LFS

73.8

9LF

SR

O07

1Al

baN

UTS

3(1

) PR

n.a.

n.a.

n.a.

1.42

n.a.

n.a.

RO

072

Bras

ovN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.39

n.a.

n.a.

RO

073

Cov

asna

NU

TS 3

(1) P

Rn.

a.n.

a.n.

a.0.

27n.

a.n.

a.R

O07

4H

argh

itaN

UTS

3(1

) PR

n.a.

n.a.

n.a.

0.31

n.a.

n.a.

RO

075

Mur

esN

UTS

3(2

) IR

n.a.

n.a.

n.a.

2.73

n.a.

n.a.

RO

076

Sibi

uN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.42

n.a.

n.a.

RO08

Bucu

rest

iNU

TS 2

(3) P

U2.

68LF

S A_

B68

.90.

750.

2790

4.2

LFS

97.3

2LF

SR

O08

1Bu

cure

sti (

capi

tal)

NU

TS 3

(3) P

Un.

a.n.

a.n.

a.0.

29n.

a.n.

a.R

O08

2Ilf

ovN

UTS

3(2

) IR

n.a.

n.a.

n.a.

0.26

n.a.

n.a.

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I - G

2JR

C -

Pes

era

mod

elD

G A

GR

I - G

2D

G A

GR

I - G

2

%To

n/ha

/yea

rTh

ousa

nds

peop

le e

mpl

oyed

%%

Milli

on e

uros

(200

1 fo

r HU

, UK

)

(200

1 fo

r HU

, UK

)

(200

1 fo

r HU

, UK

)20

0420

0220

0220

0220

0220

02 (L

FS fo

r NL,

RO

)N

atio

nal A

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Nat

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Obj

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9) -

Econ

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De

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242

Indi

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Mea

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PU

5 09

899

.65

n.a.

n.a.

n.a.

c

DE

118

Hei

lbro

nn, L

andk

reis

NU

TS

3(3

) P

U7

148

98.1

9n.

a.n.

a.6

867

DE

119

Hoh

enlo

hekr

eis

NU

TS

3(2

) IR

2 56

896

.76

n.a.

n.a.

55ho

liday

dw

ellin

gs o

nly

- c

DE

11A

Sch

wäb

isch

Hal

lN

UT

S 3

(2)

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361

97.0

2n.

a.n.

a.5

320

DE

11B

Mai

n-T

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r-K

reis

NU

TS

3(2

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3 05

697

.02

n.a.

n.a.

8 81

7D

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CH

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UT

S 3

(2)

IR3

278

98.8

5n.

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608

DE

11D

Ost

albk

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NU

TS

3(2

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7 02

398

.54

n.a.

n.a.

7 48

2D

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Kar

lsru

heN

UTS

2(3

) PU

75 2

1799

.58

128.

010

.487

675

DE

121

Bad

en-B

aden

, Sta

dtkr

eis

NU

TS

3(3

) P

U1

830

99.7

3n.

a.n.

a.4

353

DE

122

Kar

lsru

he, S

tadt

krei

sN

UT

S 3

(3)

PU

11 9

6699

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n.a.

n.a.

5 23

1D

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3K

arls

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, Lan

dkre

isN

UT

S 3

(3)

PU

9 67

299

.44

n.a.

n.a.

6 66

8D

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4R

asta

ttN

UT

S 3

(3)

PU

6 20

399

.55

n.a.

n.a.

7 39

0D

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5H

eide

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g, S

tadt

krei

sN

UT

S 3

(3)

PU

5 36

399

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n.a.

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5 53

9D

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6M

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, Sta

dtkr

eis

NU

TS

3(3

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U12

848

99.9

3n.

a.n.

a.5

637

DE

127

Nec

kar-

Ode

nwal

d-K

reis

NU

TS

3(1

) P

R2

982

98.1

2n.

a.n.

a.5

808

DE

128

Rhe

in-N

ecka

r-K

reis

NU

TS

3(3

) P

U11

829

99.4

1n.

a.n.

a.13

320

DE

129

Pfo

rzhe

im, S

tadt

krei

sN

UT

S 3

(3)

PU

3 52

499

.89

n.a.

n.a.

n.a.

c

DE

12A

Cal

wN

UT

S 3

(2)

IR2

731

98.9

5n.

a.n.

a.15

166

DE

12B

Enz

krei

sN

UT

S 3

(3)

PU

3 53

999

.35

n.a.

n.a.

969

excl

udin

g ho

tels

- c

DE

12C

Fre

uden

stad

tN

UT

S 3

(2)

IR2

730

99.1

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578

DE1

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rgN

UTS

2(2

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50 2

9098

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108.

110

.713

5 55

2D

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1F

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reis

gau,

Sta

dtkr

eis

NU

TS

3(3

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U7

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99.8

3n.

a.n.

a.7

086

DE

132

Bre

isga

u-H

ochs

chw

arzw

ald

NU

TS

3(2

) IR

4 29

597

.57

n.a.

n.a.

37 8

24D

E13

3E

mm

endi

ngen

NU

TS

3(2

) IR

2 76

098

.26

n.a.

n.a.

5 86

3D

E13

4O

rten

aukr

eis

NU

TS

3(2

) IR

10 1

4998

.75

n.a.

n.a.

24 8

84D

E13

5R

ottw

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NU

TS

3(2

) IR

3 41

798

.93

n.a.

n.a.

3 35

5D

E13

6S

chw

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ald-

Baa

r-K

reis

NU

TS

3(2

) IR

5 19

299

.14

n.a.

n.a.

13 4

46D

E13

7T

uttli

ngen

NU

TS

3(2

) IR

3 24

799

.18

n.a.

n.a.

1 91

6D

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8K

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NU

TS

3(3

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U6

288

98.9

5n.

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819

DE

139

Lörr

ach

NU

TS

3(3

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U4

698

99.2

2n.

a.n.

a.11

340

DE

13A

Wal

dshu

tN

UT

S 3

(2)

IR3

200

98.6

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a.n.

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DE1

4Tü

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UTS

2(2

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43 9

1498

.63

86.1

10.5

65 7

75D

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1R

eutli

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NU

TS

3(2

) IR

6 96

499

.39

n.a.

n.a.

7 39

7D

E14

2T

übin

gen,

Lan

dkre

isN

UT

S 3

(3)

PU

4 34

499

.52

n.a.

n.a.

2 53

3D

E14

3Z

olle

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bkre

isN

UT

S 3

(2)

IR4

327

99.2

9n.

a.n.

a.3

134

DE

144

Ulm

, Sta

dtkr

eis

NU

TS

3(3

) P

U5

280

99.8

5n.

a.n.

a.n.

a.c

DE

145

Alb

-Don

au-K

reis

NU

TS

3(2

) IR

3 48

397

.37

n.a.

n.a.

4 14

3D

E14

6B

iber

ach

NU

TS

3(2

) IR

4 36

797

.43

n.a.

n.a.

2 83

8ex

clud

ing

hote

ls -

c

DE

147

Bod

ense

ekre

isN

UT

S 3

(3)

PU

5 52

798

.56

n.a.

n.a.

25 0

07

DG

AG

RI-G

2D

G A

GR

I - G

2D

G A

GR

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G A

GR

I - G

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G A

GR

I - G

2

bed

plac

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n eu

ros

%T

hous

ands

peo

ple

empl

oyed

%

2004

2002

2002

2004

2004

Eco

nom

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ccou

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Eco

nom

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ccou

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Labo

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Sur

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Labo

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Sur

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Eur

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Eur

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Eur

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in s

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sec

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Sha

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Sel

f-em

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Obj

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Obj

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244

Indi

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Mea

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Uni

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Cal

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NU

TS

cod

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NU

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text

1)

DE

148

Rav

ensb

urg

NU

TS

3(2

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6 83

497

.84

n.a.

n.a.

10 0

13D

E14

9S

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arin

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NU

TS

3(1

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2 78

897

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Obe

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NU

TS 2

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2 49

599

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295.

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4 61

1D

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1In

gols

tadt

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isfr

eie

Sta

dtN

UT

S 3

(3) P

U5

951

99.8

7n.

a.n.

a.n.

a.c

DE

212

Mün

chen

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U60

583

99.9

7n.

a.n.

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876

DE

213

Ros

enhe

im, K

reis

frei

e S

tadt

NU

TS

3(3

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2 16

499

.77

n.a.

n.a.

n.a.

c

DE

214

Altö

tting

NU

TS

3(2

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3 33

298

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n.a.

n.a.

2 16

6D

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NU

TS

3(2

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n.a.

25 6

51D

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6B

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Wol

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NU

TS

3(2

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2 50

298

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n.a.

n.a.

13 0

36D

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acha

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UT

S 3

(2) I

R2

340

98.2

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a.n.

a.1

692

DE

218

Ebe

rsbe

rgN

UT

S 3

(2) I

R2

189

98.2

9n.

a.n.

a.n.

a.c

DE

219

Eic

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UT

S 3

(1) P

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846

96.7

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377

DE

21A

Erd

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NU

TS

3(1

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2 05

996

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4 17

3D

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BFr

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UT

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99.0

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443

DE

21C

Fürs

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NU

TS

3(3

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DE

21E

Land

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Lec

hN

UT

S 3

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98.0

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328

DE

21F

Mie

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UT

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98.3

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DE

21G

Müh

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NU

TS

3(2

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2 28

897

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n.a.

1 40

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HM

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NU

TS

3(3

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22 5

2199

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n.a.

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10 5

67D

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nN

UT

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96.6

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227

DE

21J

Pfa

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lmN

UT

S 3

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111

97.6

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a.n.

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513

DE

21K

Ros

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NU

TS

3(2

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4 43

598

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n.a.

n.a.

21 6

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LS

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NU

TS

3(3

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3 30

499

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n.a.

n.a.

4 78

3D

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MT

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nN

UT

S 3

(1) P

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925

97.9

5n.

a.n.

a.34

735

DE

21N

Wei

lhei

m-S

chon

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NU

TS

3(2

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2 75

198

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n.a.

n.a.

4 75

7D

E22

Nie

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nN

UTS

2(1

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26 4

7297

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60.5

10.8

113

690

DE

221

Land

shut

, Kre

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eie

Sta

dtN

UT

S 3

(3) P

U2

587

99.8

5n.

a.n.

a.n.

a.c

DE

222

Pas

sau,

Kre

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Sta

dtN

UT

S 3

(3) P

U1

989

99.9

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a.n.

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926

DE

223

Stra

ubin

g, K

reis

frei

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tadt

NU

TS

3(3

) PU

1 55

799

.49

n.a.

n.a.

n.a.

c

DE

224

Deg

gend

orf

NU

TS

3(1

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2 60

397

.31

n.a.

n.a.

3 92

8D

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5Fr

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NU

TS

3(1

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1 29

097

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n.a.

n.a.

20 6

39D

E22

6K

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UT

S 3

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155

96.5

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882

DE

227

Land

shut

, Lan

dkre

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UT

S 3

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625

95.6

3n.

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a.1

879

DE

228

Pas

sau,

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dkre

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UT

S 3

(1) P

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245

96.6

3n.

a.n.

a.34

368

DE

229

Reg

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UT

S 3

(1) P

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449

98.1

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403

DE

22A

Rot

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UT

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261

95.4

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428

DE

22B

Stra

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g-B

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NU

TS

3(1

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1 36

792

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n.a.

n.a.

6 55

5D

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CD

ingo

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NU

TS

3(1

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3 34

497

.18

n.a.

n.a.

1 84

8D

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Obe

rpfa

lzN

UTS

2(1

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25 0

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48.6

9.6

55 9

83D

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1A

mbe

rg, K

reis

frei

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tadt

NU

TS

3(3

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1 57

399

.75

n.a.

n.a.

656

hote

ls o

nly

DE

232

Reg

ensb

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U6

857

99.9

4n.

a.n.

a.n.

a.c

DE

233

Wei

den

in d

er O

berp

falz

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

677

99.6

4n.

a.n.

a.n.

a.c

DE

234

Am

berg

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zbac

hN

UT

S 3

(1) P

R1

710

96.8

8n.

a.n.

a.4

201

DE

235

Cha

mN

UT

S 3

(1) P

R2

483

97.3

3n.

a.n.

a.22

165

DE

236

Neu

mar

kt in

der

Obe

rpfa

lzN

UT

S 3

(1) P

R2

454

97.7

7n.

a.n.

a.4

709

DE

237

Neu

stad

t an

der W

aldn

aab

NU

TS

3(1

) PR

1 60

596

.69

n.a.

n.a.

4 84

4D

E23

8R

egen

sbur

g, L

andk

reis

NU

TS

3(2

) IR

2 33

696

.53

n.a.

n.a.

3 87

6D

E23

9S

chw

ando

rfN

UT

S 3

(1) P

R3

019

97.7

0n.

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239

DE

23A

Tirs

chen

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hN

UT

S 3

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337

95.9

8n.

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055

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4O

berf

rank

enN

UTS

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25 2

0898

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52.0

10.7

48 5

51D

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1B

ambe

rg, K

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freie

Sta

dtN

UT

S 3

(3) P

U3

296

99.9

1n.

a.n.

a.n.

a.c

DE

242

Bay

reut

h, K

reis

freie

Sta

dtN

UT

S 3

(3) P

U3

080

99.8

4n.

a.n.

a.n.

a.c

DE

243

Cob

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

532

99.7

4n.

a.n.

a.n.

a.c

DE

244

Hof

, Kre

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Sta

dtN

UT

S 3

(3) P

U1

561

99.8

1n.

a.n.

a.n.

a.c

DE

245

Bam

berg

, Lan

dkre

isN

UT

S 3

(2) I

R1

955

97.7

5n.

a.n.

a.4

330

DE

246

Bay

reut

h, L

andk

reis

NU

TS

3(1

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1 48

396

.49

n.a.

n.a.

9 39

6D

E24

7C

obur

g, L

andk

reis

NU

TS

3(2

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2 02

898

.16

n.a.

n.a.

2 64

2D

E24

8Fo

rchh

eim

NU

TS

3(2

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1 57

797

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n.a.

n.a.

5 02

7D

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9H

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NU

TS

3(1

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2 11

797

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n.a.

n.a.

4 74

3D

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AK

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chN

UT

S 3

(1) P

R1

574

98.8

7n.

a.n.

a.3

107

DE

24B

Kul

mba

chN

UT

S 3

(1) P

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668

98.3

5n.

a.n.

a.3

194

DE

24C

Lich

tenf

els

NU

TS

3(2

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1 54

898

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n.a.

n.a.

4 95

6D

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im F

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birg

eN

UT

S 3

(2) I

R1

788

98.5

1n.

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a.4

129

DE2

5M

ittel

fran

ken

NU

TS 2

(2) I

R45

249

99.0

683

.910

.955

486

DE

251

Ans

bach

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

502

99.6

7n.

a.n.

a.99

0D

E25

2E

rlang

en, K

reis

frei

e S

tadt

NU

TS

3(3

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4 19

699

.90

n.a.

n.a.

3 67

8D

E25

3Fü

rth, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

3 85

399

.82

n.a.

n.a.

1 75

1ho

tels

onl

yD

E25

4N

ürnb

erg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U18

700

99.9

1n.

a.n.

a.13

354

Obj

ectiv

e 29

- Ec

onom

ic D

evel

opm

ent o

f N

on-A

gric

ultu

ral S

ecto

r(O

bjec

tive

29) -

Eco

nom

ic D

evel

opm

ent o

f N

on-A

gric

ultu

ral S

ecto

rO

bjec

tive

30 -

Self-

Empl

oym

ent D

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opm

ent

(Obj

ectiv

e 30

) - S

elf-

Empl

oym

ent D

evel

opm

ent

Obj

ectiv

e 31

- To

uris

m In

fras

truc

ture

in

Rur

al A

reas

GV

A in

sec

onda

ry a

nd te

rtiar

y se

ctor

sS

hare

of s

econ

dary

and

terti

ary

sect

ors

in to

tal

GV

AS

elf-

empl

oyed

per

sons

Sha

re o

f sel

f-em

ploy

men

t in

tota

l em

ploy

men

tT

otal

num

ber o

f bed

pla

ces

Eur

osta

tE

uros

tat

Eur

osta

t E

uros

tat

Eur

osta

tE

cono

mic

Acc

ount

sE

cono

mic

Acc

ount

sLa

bour

For

ce S

urve

yLa

bour

For

ce S

urve

y20

0220

0220

0420

0420

04

Mill

ion

euro

s%

Tho

usan

ds p

eopl

e em

ploy

ed%

bed

plac

es

DG

AG

RI -

G2

DG

AG

RI -

G2

DG

AG

RI -

G2

DG

AG

RI -

G2

DG

AG

RI-G

2

245

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

255

Sch

wab

ach,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U98

999

.80

n.a.

n.a.

234

hote

ls o

nly

DE

256

Ans

bach

, Lan

dkre

isN

UT

S 3

(1) P

R3

330

96.2

4n.

a.n.

a.10

419

DE

257

Erla

ngen

-Höc

hsta

dtN

UT

S 3

(3) P

U2

353

98.9

9n.

a.n.

a.2

460

DE

258

Fürth

, Lan

dkre

isN

UT

S 3

(3) P

U1

674

98.8

2n.

a.n.

a.1

192

DE

259

Nue

rnbe

rger

Lan

dN

UT

S 3

(2) I

R3

285

99.2

4n.

a.n.

a.3

778

DE

25A

Neu

stad

t an

der A

isch

-Bad

Win

dshe

imN

UT

S 3

(1) P

R1

597

94.4

4n.

a.n.

a.4

309

DE

25B

Rot

hN

UT

S 3

(1) P

R2

024

97.8

7n.

a.n.

a.4

051

DE

25C

Wei

ßenb

urg-

Gun

zenh

ause

nN

UT

S 3

(1) P

R1

747

96.7

9n.

a.n.

a.9

270

DE2

6U

nter

fran

ken

NU

TS 2

(2) I

R30

320

98.3

362

.210

.262

569

DE

261

Asc

haffe

nbur

g, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

2 81

399

.93

n.a.

n.a.

n.a.

c

DE

262

Sch

wei

nfur

t, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

3 01

399

.93

n.a.

n.a.

n.a.

c

DE

263

Wür

zbur

g, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

4 77

699

.75

n.a.

n.a.

4 93

1D

E26

4A

scha

ffenb

urg,

Lan

dkre

isN

UT

S 3

(3) P

U3

278

99.1

8n.

a.n.

a.5

133

DE

265

Bad

Kis

sing

enN

UT

S 3

(1) P

R2

083

97.7

0n.

a.n.

a.13

689

DE

266

Rhö

n-G

rabf

eld

NU

TS

3(1

) PR

1 69

197

.24

n.a.

n.a.

7 30

3D

E26

7H

aßbe

rge

NU

TS

3(1

) PR

1 68

497

.12

n.a.

n.a.

3 84

3D

E26

8K

itzin

gen

NU

TS

3(2

) IR

1 65

095

.05

n.a.

n.a.

5 98

5D

E26

9M

ilten

berg

NU

TS

3(2

) IR

2 49

298

.65

n.a.

n.a.

5 64

8D

E26

AM

ain-

Spe

ssar

tN

UT

S 3

(2) I

R3

128

98.3

3n.

a.n.

a.7

736

DE

26B

Sch

wei

nfur

t, La

ndkr

eis

NU

TS

3(2

) IR

1 40

495

.71

n.a.

n.a.

1 84

3D

E26

CW

ürzb

urg,

Lan

dkre

isN

UT

S 3

(2) I

R2

309

96.3

3n.

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a.4

104

DE2

7Sc

hwab

enN

UTS

2(2

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42 0

6298

.54

103.

312

.411

4 63

3D

E27

1A

ugsb

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U9

457

99.9

0n.

a.n.

a.4

031

DE

272

Kau

fbeu

ren,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

090

99.7

3n.

a.n.

a.40

3ho

tels

onl

y

DE

273

Kem

pten

(Allg

äu),

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U2

121

99.6

7n.

a.n.

a.n.

a.c

DE

274

Mem

min

gen,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

479

99.6

6n.

a.n.

a.53

4ho

tels

onl

y

DE

275

Aic

hach

-Frie

dber

gN

UT

S 3

(2) I

R2

324

97.6

9n.

a.n.

a.2

116

DE

276

Aug

sbur

g, L

andk

reis

NU

TS

3(2

) IR

4 48

798

.66

n.a.

n.a.

3 11

3D

E27

7D

illin

gen

an d

er D

onau

NU

TS

3(2

) IR

1 69

497

.02

n.a.

n.a.

1 93

0D

E27

8G

ünzb

urg

NU

TS

3(2

) IR

3 04

798

.48

n.a.

n.a.

3 20

9D

E27

9N

eu-U

lmN

UT

S 3

(3) P

U3

751

99.2

6n.

a.n.

a.n.

a.c

DE

27A

Lind

au (B

oden

see)

NU

TS

3(2

) IR

1 64

998

.62

n.a.

n.a.

13 7

30D

E27

BO

stal

lgäu

NU

TS

3(1

) PR

2 58

996

.71

n.a.

n.a.

23 0

98D

E27

CU

nter

allg

äuN

UT

S 3

(1) P

R2

601

96.2

3n.

a.n.

a.8

195

DE

27D

Don

au-R

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NU

TS

3(1

) PR

2 93

297

.18

n.a.

n.a.

4 42

9D

E27

EO

bera

llgäu

NU

TS

3(1

) PR

2 83

897

.96

n.a.

n.a.

46 4

21D

E30

Ber

linN

UTS

2(3

) PU

71 4

5999

.85

202.

314

.477

889

DE

300

Ber

linN

UT

S 3

(3) P

U71

459

99.8

5n.

a.n.

a.77

889

DE4

1B

rand

enbu

rg -

Nor

dost

NU

TS 2

(2) I

R17

560

96.8

547

.59.

961

672

DE

411

Fran

kfur

t (O

der)

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

597

99.4

4n.

a.n.

a.3

139

DE

412

Bar

nim

NU

TS

3(2

) IR

2 27

398

.23

n.a.

n.a.

8 21

8D

E41

3M

ärki

sch-

Ode

rland

NU

TS

3(2

) IR

2 45

096

.23

n.a.

n.a.

6 42

0D

E41

4O

berh

avel

NU

TS

3(2

) IR

2 90

398

.34

n.a.

n.a.

5 50

0D

E41

5O

der-

Spr

eeN

UT

S 3

(2) I

R3

043

97.9

4n.

a.n.

a.13

827

DE

416

Ost

prig

nitz

-Rup

pin

NU

TS

3(1

) PR

1 66

594

.98

n.a.

n.a.

10 2

66D

E41

7P

rigni

tzN

UT

S 3

(1) P

R1

245

92.5

7n.

a.n.

a.2

678

DE

418

Uck

erm

ark

NU

TS

3(1

) PR

2 38

794

.95

n.a.

n.a.

11 6

24D

E42

Bra

nden

burg

- Sü

dwes

tN

UTS

2(1

) PR

22 8

7598

.00

71.8

11.7

61 2

18D

E42

1B

rand

enbu

rg a

n de

r H

avel

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

283

99.7

7n.

a.n.

a.2

365

DE

422

Cot

tbus

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U2

391

99.8

7n.

a.n.

a.2

050

DE

423

Pot

sdam

, Kre

isfre

ie S

tadt

NU

TS

3(3

) PU

3 43

699

.94

n.a.

n.a.

5 37

6D

E42

4D

ahm

e-S

pree

wal

dN

UT

S 3

(1) P

R2

519

97.7

5n.

a.n.

a.16

689

DE

425

Elb

e-E

lste

rN

UT

S 3

(1) P

R1

626

95.1

4n.

a.n.

a.3

227

DE

426

Hav

ella

ndN

UT

S 3

(2) I

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818

96.6

5n.

a.n.

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268

DE

427

Obe

rspr

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ald-

Laus

itzN

UT

S 3

(2) I

R1

872

98.3

7n.

a.n.

a.7

243

DE

428

Pot

sdam

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elm

ark

NU

TS

3(2

) IR

2 79

396

.58

n.a.

n.a.

10 3

81D

E42

9S

pree

-Nei

ße

NU

TS

3(2

) IR

2 28

598

.03

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n.a.

5 38

5D

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AT

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NU

TS

3(2

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297

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5 23

4D

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Bre

men

NU

TS 2

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525

99.7

525

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830

DE

501

Bre

men

, Kre

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eie

Sta

dtN

UT

S 3

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U18

626

99.9

1n.

a.n.

a.8

020

DE

502

Bre

mer

have

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

2 89

998

.74

n.a.

n.a.

1 81

0D

E60

Ham

burg

NU

TS 2

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U70

770

99.8

210

1.1

13.1

33 5

69D

E60

0H

ambu

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UT

S 3

(3) P

U70

770

99.8

2n.

a.n.

a.33

569

DE7

1D

arm

stad

tN

UTS

2(3

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125

357

99.6

120

8.7

12.3

120

425

DE

711

Dar

mst

adt,

Kre

isfre

ie S

tadt

NU

TS

3(3

) PU

6 38

899

.75

n.a.

n.a.

3 23

5ho

tels

onl

y

DE

712

Fran

kfur

t am

Mai

n, K

reis

frei

e S

tadt

NU

TS

3(3

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44 3

1299

.93

n.a.

n.a.

27 5

84D

E71

3O

ffenb

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am M

ain,

Kre

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eie

Sta

dtN

UT

S 3

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956

99.9

2n.

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901

DE

714

Wie

sbad

en, K

reis

frei

e S

tadt

NU

TS

3(3

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10 9

8599

.85

n.a.

n.a.

7 23

9D

E71

5B

ergs

traße

NU

TS

3(3

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5 07

498

.81

n.a.

n.a.

9 60

1

Obj

ectiv

e 29

- Ec

onom

ic D

evel

opm

ent o

f N

on-A

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ultu

ral S

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r(O

bjec

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29) -

Eco

nom

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evel

opm

ent o

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on-A

gric

ultu

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bjec

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30 -

Self-

Empl

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ent

(Obj

ectiv

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elf-

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Obj

ectiv

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- To

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fras

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in

Rur

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GV

A in

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GV

AS

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Sha

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Acc

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Acc

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For

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For

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0220

0420

0420

04

Mill

ion

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Tho

usan

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DG

AG

RI -

G2

DG

AG

RI -

G2

DG

AG

RI -

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DG

AG

RI -

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DG

AG

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2

246

Indi

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Mea

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men

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Uni

t

Cal

cula

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NU

TS

cod

ela

bel

NU

TS

le

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FLA

G O

EC

D /

G2

(Con

text

1)

DE

716

Dar

mst

adt-D

iebu

rgN

UT

S 3

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U4

939

98.4

8n.

a.n.

a.4

837

DE

717

Gro

ß-G

erau

NU

TS

3(3

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7 58

999

.24

n.a.

n.a.

7 28

0D

E71

8H

ocht

aunu

skre

isN

UT

S 3

(3) P

U6

615

99.7

1n.

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a.8

165

DE

719

Mai

n-K

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g-K

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NU

TS

3(3

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9 30

199

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11 7

36D

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AM

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Tau

nus-

Kre

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UT

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U7

480

99.7

6n.

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779

DE

71B

Ode

nwal

dkre

isN

UT

S 3

(3) P

U1

696

99.4

7n.

a.n.

a.6

685

DE

71C

Offe

nbac

h, L

andk

reis

NU

TS

3(3

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8 70

699

.76

n.a.

n.a.

6 14

3ho

tels

onl

y

DE

71D

Rhe

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u-Ta

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isN

UT

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843

99.0

6n.

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545

DE

71E

Wet

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isN

UT

S 3

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U5

474

98.3

6n.

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a.8

310

DE7

2G

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nN

UTS

2(2

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22 8

5799

.36

46.1

10.0

30 9

01D

E72

1G

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n, L

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NU

TS

3(3

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6 26

699

.43

n.a.

n.a.

4 75

7D

E72

2La

hn-D

ill-K

reis

NU

TS

3(3

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5 94

399

.65

n.a.

n.a.

6 45

1D

E72

3Li

mbu

rg-W

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urg

NU

TS

3(3

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3 05

299

.12

n.a.

n.a.

7 02

2D

E72

4M

arbu

rg-B

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nkop

fN

UT

S 3

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R5

721

99.4

3n.

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759

DE

725

Vog

elsb

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NU

TS

3(1

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1 87

698

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n.a.

n.a.

5 91

2D

E73

Kas

sel

NU

TS 2

(2) I

R29

095

99.0

256

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.686

945

DE

731

Kas

sel,

Kre

isfr

eie

Sta

dtN

UT

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(3) P

U7

104

99.9

2n.

a.n.

a.5

473

DE

732

Fuld

aN

UT

S 3

(2) I

R5

470

99.5

3n.

a.n.

a.13

500

DE

733

Her

sfel

d-R

oten

burg

NU

TS

3(2

) IR

3 02

699

.08

n.a.

n.a.

10 1

17D

E73

4K

asse

l, La

ndkr

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NU

TS

3(2

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4 42

898

.55

n.a.

n.a.

12 5

92D

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5S

chw

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NU

TS

3(2

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3 29

897

.55

n.a.

n.a.

8 41

5D

E73

6W

alde

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rank

enbe

rgN

UT

S 3

(1) P

R3

688

98.9

0n.

a.n.

a.29

513

DE

737

Wer

ra-M

eißn

er-K

reis

NU

TS

3(1

) PR

2 08

198

.16

n.a.

n.a.

7 33

5D

E80

Mec

klen

burg

-Vor

pom

mer

nN

UTS

2(2

) IR

26 4

7696

.10

69.4

10.0

256

750

DE

801

Gre

ifsw

ald,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U97

499

.90

n.a.

n.a.

1 40

3ho

tels

onl

y

DE

802

Neu

bran

denb

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

772

100.

00n.

a.n.

a.1

095

DE

803

Ros

tock

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U4

598

99.9

8n.

a.n.

a.12

417

DE

804

Sch

wer

in, K

reis

frei

e S

tadt

NU

TS

3(3

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2 49

899

.96

n.a.

n.a.

2 73

6D

E80

5S

trals

und,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

160

99.7

4n.

a.n.

a.1

860

DE

806

Wis

mar

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U94

599

.89

n.a.

n.a.

930

hote

ls o

nly

DE

807

Bad

Dob

eran

NU

TS

3(1

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1 61

595

.62

n.a.

n.a.

24 0

55D

E80

8D

emm

inN

UT

S 3

(1) P

R1

044

90.9

4n.

a.n.

a.3

279

DE

809

Güs

trow

NU

TS

3(1

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1 51

893

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n.a.

n.a.

7 48

4D

E80

ALu

dwig

slus

tN

UT

S 3

(1) P

R1

573

93.5

8n.

a.n.

a.2

984

DE

80B

Mec

klen

burg

-Stre

litz

NU

TS

3(1

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956

92.1

9n.

a.n.

a.15

831

DE

80C

Mür

itzN

UT

S 3

(1) P

R95

693

.45

n.a.

n.a.

19 6

88D

E80

DN

ordv

orpo

mm

ern

NU

TS

3(1

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1 14

791

.47

n.a.

n.a.

30 3

69D

E80

EN

ordw

estm

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rgN

UT

S 3

(1) P

R1

211

91.7

4n.

a.n.

a.17

678

DE

80F

Ost

vorp

omm

ern

NU

TS

3(1

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1 23

392

.99

n.a.

n.a.

42 9

24D

E80

GP

arch

imN

UT

S 3

(1) P

R1

363

92.9

7n.

a.n.

a.10

753

DE

80H

Rüg

enN

UT

S 3

(1) P

R93

794

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n.a.

n.a.

57 3

96D

E80

IU

ecke

r-R

ando

wN

UT

S 3

(1) P

R97

693

.94

n.a.

n.a.

3 33

7D

E91

Bra

unsc

hwei

gN

UTS

2(2

) IR

37 5

6598

.83

54.6

8.2

65 9

98D

E91

1B

raun

schw

eig,

Kre

isfre

ie S

tadt

NU

TS

3(3

) PU

7 09

899

.89

n.a.

n.a.

2 93

9ho

tels

onl

y

DE

912

Sal

zgitt

er, K

reis

freie

Sta

dtN

UT

S 3

(3) P

U3

079

99.5

8n.

a.n.

a.70

8ho

tels

onl

y

DE

913

Wol

fsbu

rg, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

7 89

099

.86

n.a.

n.a.

3 44

8D

E91

4G

ifhor

nN

UT

S 3

(2) I

R2

188

96.3

0n.

a.n.

a.3

992

DE

915

Göt

tinge

nN

UT

S 3

(2) I

R5

367

98.7

9n.

a.n.

a.7

717

DE

916

Gos

lar

NU

TS

3(3

) PU

2 91

798

.88

n.a.

n.a.

27 0

00D

E91

7H

elm

sted

tN

UT

S 3

(2) I

R1

310

96.6

8n.

a.n.

a.2

044

DE

918

Nor

thei

mN

UT

S 3

(1) P

R2

502

97.3

5n.

a.n.

a.5

697

DE

919

Ost

erod

e am

Har

zN

UT

S 3

(3) P

U1

774

98.8

3n.

a.n.

a.10

773

DE

91A

Pei

neN

UT

S 3

(2) I

R1

941

98.0

3n.

a.n.

a.60

5ho

tels

onl

y

DE

91B

Wol

fenb

ütte

lN

UT

S 3

(2) I

R1

499

96.4

6n.

a.n.

a.90

0D

E92

Han

nove

rN

UTS

2(2

) IR

47 9

9398

.58

99.1

10.9

54 3

56D

E92

2D

ieph

olz

NU

TS

3(1

) PR

3 73

295

.52

n.a.

n.a.

2 78

4D

E92

3H

amel

n-P

yrm

ont

NU

TS

3(2

) IR

3 13

498

.21

n.a.

n.a.

10 2

12D

E92

5H

ildes

heim

NU

TS

3(2

) IR

5 16

298

.21

n.a.

n.a.

4 38

4D

E92

6H

olzm

inde

nN

UT

S 3

(2) I

R1

408

97.2

4n.

a.n.

a.3

896

DE

927

Nie

nbur

g (W

eser

)N

UT

S 3

(1) P

R2

348

95.2

5n.

a.n.

a.1

339

DE

928

Sch

aum

burg

NU

TS

3(3

) PU

2 71

098

.26

n.a.

n.a.

5 31

8D

E92

9R

egio

n H

anno

ver

NU

TS

3(3

) PU

29 5

0099

.46

n.a.

n.a.

26 4

23D

E93

Lüne

burg

NU

TS 2

(2) I

R28

735

96.9

086

.412

.191

111

DE

931

Cel

leN

UT

S 3

(2) I

R3

508

98.2

4n.

a.n.

a.7

938

DE

932

Cux

have

nN

UT

S 3

(1) P

R2

656

94.3

2n.

a.n.

a.27

621

DE

933

Har

burg

NU

TS

3(2

) IR

3 20

398

.01

n.a.

n.a.

6 21

3D

E93

4Lü

chow

-Dan

nenb

erg

NU

TS

3(1

) PR

766

91.7

4n.

a.n.

a.4

831

DE

935

Lüne

burg

, Lan

dkre

isN

UT

S 3

(2) I

R2

953

97.6

2n.

a.n.

a.4

586

DE

936

Ost

erho

lzN

UT

S 3

(2) I

R1

467

97.0

2n.

a.n.

a.1

488

Obj

ectiv

e 29

- Ec

onom

ic D

evel

opm

ent o

f N

on-A

gric

ultu

ral S

ecto

r(O

bjec

tive

29) -

Eco

nom

ic D

evel

opm

ent o

f N

on-A

gric

ultu

ral S

ecto

rO

bjec

tive

30 -

Self-

Empl

oym

ent D

evel

opm

ent

(Obj

ectiv

e 30

) - S

elf-

Empl

oym

ent D

evel

opm

ent

Obj

ectiv

e 31

- To

uris

m In

fras

truc

ture

in

Rur

al A

reas

GV

A in

sec

onda

ry a

nd te

rtiar

y se

ctor

sS

hare

of s

econ

dary

and

terti

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sect

ors

in to

tal

GV

AS

elf-

empl

oyed

per

sons

Sha

re o

f sel

f-em

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men

t in

tota

l em

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men

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num

ber o

f bed

pla

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Eur

osta

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uros

tat

Eur

osta

t E

uros

tat

Eur

osta

tE

cono

mic

Acc

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sE

cono

mic

Acc

ount

sLa

bour

For

ce S

urve

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bour

For

ce S

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0220

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0420

04

Mill

ion

euro

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Tho

usan

ds p

eopl

e em

ploy

ed%

bed

plac

es

DG

AG

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G2

DG

AG

RI -

G2

DG

AG

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G2

DG

AG

RI -

G2

DG

AG

RI-G

2

247

Indi

cato

r

Mea

sure

men

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Yea

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Uni

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Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

937

Rot

enbu

rg (

Wüm

me)

NU

TS

3(1

) PR

2 69

295

.06

n.a.

n.a.

5 58

4D

E93

8S

olta

u-Fa

lling

bost

elN

UT

S 3

(1) P

R2

835

97.2

6n.

a.n.

a.20

451

DE

939

Sta

deN

UT

S 3

(2) I

R4

295

97.9

5n.

a.n.

a.3

293

DE

93A

Uel

zen

NU

TS

3(2

) IR

1 71

395

.43

n.a.

n.a.

6 45

8D

E93

BV

erde

nN

UT

S 3

(2) I

R2

649

98.0

4n.

a.n.

a.2

648

DE9

4W

eser

-Em

sN

UTS

2(2

) IR

49 3

3896

.27

119.

711

.715

7 52

0D

E94

1D

elm

enho

rst,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

270

99.5

3n.

a.n.

a.60

3ho

tels

onl

y

DE

942

Em

den,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U1

986

99.4

5n.

a.n.

a.1

832

DE

943

Old

enbu

rg (

Old

enbu

rg),

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U4

769

99.9

0n.

a.n.

a.1

416

hote

ls o

nly

DE

944

Osn

abrü

ck, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

5 34

599

.85

n.a.

n.a.

2 39

9D

E94

5W

ilhel

msh

aven

, Kre

isfre

ie S

tadt

NU

TS

3(3

) PU

2 29

899

.70

n.a.

n.a.

2 03

6D

E94

6A

mm

erla

ndN

UT

S 3

(2) I

R1

991

95.5

8n.

a.n.

a.6

091

DE

947

Aur

ich

NU

TS

3(2

) IR

2 65

893

.79

n.a.

n.a.

33 5

11D

E94

8C

lopp

enbu

rgN

UT

S 3

(1) P

R2

733

93.4

4n.

a.n.

a.2

982

DE

949

Em

slan

dN

UT

S 3

(1) P

R6

528

95.1

2n.

a.n.

a.14

339

DE

94A

Frie

slan

dN

UT

S 3

(2) I

R1

815

95.4

3n.

a.n.

a.20

530

DE

94B

Gra

fsch

aft B

enth

eim

NU

TS

3(2

) IR

2 19

794

.82

n.a.

n.a.

6 98

5D

E94

CLe

erN

UT

S 3

(2) I

R2

591

94.9

1n.

a.n.

a.13

546

DE

94D

Old

enbu

rg, L

andk

reis

NU

TS

3(1

) PR

1 71

092

.73

n.a.

n.a.

3 35

4D

E94

EO

snab

rück

, Lan

dkre

isN

UT

S 3

(2) I

R5

835

95.9

4n.

a.n.

a.12

508

DE

94F

Vec

hta

NU

TS

3(2

) IR

2 82

695

.57

n.a.

n.a.

3 07

6D

E94

GW

eser

mar

sch

NU

TS

3(2

) IR

1 97

994

.15

n.a.

n.a.

8 14

3D

E94

HW

ittm

und

NU

TS

3(1

) PR

805

89.3

5n.

a.n.

a.23

705

DEA

1D

üsse

ldor

fN

UTS

2(3

) PU

138

990

99.4

920

6.1

9.7

70 5

95D

EA

11D

üsse

ldor

f, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

33 7

6299

.98

n.a.

n.a.

17 7

21D

EA

12D

uisb

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U11

025

99.9

5n.

a.n.

a.2

585

DE

A13

Ess

en, K

reis

freie

Sta

dtN

UT

S 3

(3) P

U16

827

99.9

6n.

a.n.

a.7

069

DE

A14

Kre

feld

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U6

473

99.8

3n.

a.n.

a.1

842

DE

A15

Mön

chen

glad

bach

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U6

128

99.6

9n.

a.n.

a.1

743

DE

A16

Mül

heim

an

der R

uhr,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U4

204

99.9

3n.

a.n.

a.1

468

DE

A17

Obe

rhau

sen,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U3

987

99.9

7n.

a.n.

a.1

499

DE

A18

Rem

sche

id, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

2 92

299

.90

n.a.

n.a.

925

DE

A19

Sol

inge

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

3 16

999

.94

n.a.

n.a.

1 20

3D

EA

1AW

uppe

rtal,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U8

795

99.9

5n.

a.n.

a.2

458

DE

A1B

Kle

veN

UT

S 3

(3) P

U5

598

95.2

5n.

a.n.

a.7

452

DE

A1C

Met

tman

nN

UT

S 3

(3) P

U11

420

99.8

0n.

a.n.

a.6

840

DE

A1D

Neu

ssN

UT

S 3

(3) P

U11

680

99.2

4n.

a.n.

a.5

362

DE

A1E

Vie

rsen

NU

TS

3(3

) PU

5 65

997

.92

n.a.

n.a.

3 05

8D

EA

1FW

esel

NU

TS

3(3

) PU

7 34

298

.17

n.a.

n.a.

9 37

0D

EA2

Köl

nN

UTS

2(3

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109

481

99.5

820

6.1

11.5

89 5

38D

EA

21A

ache

n, K

reis

frei

e S

tadt

NU

TS

3(3

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7 48

299

.87

n.a.

n.a.

4 29

4D

EA

22B

onn,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U11

119

99.9

8n.

a.n.

a.7

630

DE

A23

Köl

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

37 8

2099

.97

n.a.

n.a.

27 1

66D

EA

24Le

verk

usen

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U5

640

99.9

6n.

a.n.

a.1

539

hote

ls o

nly

DE

A25

Aac

hen,

Lan

dkre

isN

UT

S 3

(3) P

U4

966

99.4

6n.

a.n.

a.6

525

DE

A26

Dür

enN

UT

S 3

(3) P

U5

159

98.3

0n.

a.n.

a.4

322

DE

A27

Erft

krei

sN

UT

S 3

(3) P

U9

582

99.2

9n.

a.n.

a.5

359

DE

A28

Eus

kirc

hen

NU

TS

3(2

) IR

3 29

198

.30

n.a.

n.a.

8 62

3D

EA

29H

eins

berg

NU

TS

3(3

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3 64

297

.88

n.a.

n.a.

1 76

5D

EA

2AO

berb

ergi

sche

r Kre

isN

UT

S 3

(3) P

U6

010

99.4

0n.

a.n.

a.8

984

DE

A2B

Rhe

inis

ch-B

ergi

sche

r-K

reis

NU

TS

3(3

) PU

5 00

999

.68

n.a.

n.a.

3 86

2D

EA

2CR

hein

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g-K

reis

NU

TS

3(3

) PU

9 76

299

.28

n.a.

n.a.

9 46

9D

EA3

Mün

ster

NU

TS 2

(3) P

U50

452

98.1

410

1.7

9.5

34 8

50D

EA

31B

ottro

p, K

reis

frei

e S

tadt

NU

TS

3(3

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1 69

699

.47

n.a.

n.a.

547

DE

A32

Gel

senk

irche

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

6 09

999

.98

n.a.

n.a.

1 57

4D

EA

33M

ünst

er, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

9 12

899

.68

n.a.

n.a.

7 31

0D

EA

34B

orke

nN

UT

S 3

(3) P

U7

195

96.5

3n.

a.n.

a.5

253

DE

A35

Coe

sfel

dN

UT

S 3

(2) I

R3

363

95.0

0n.

a.n.

a.3

571

DE

A36

Rec

klin

ghau

sen

NU

TS

3(3

) PU

10 1

2799

.48

n.a.

n.a.

5 20

3D

EA

37S

tein

furt

NU

TS

3(3

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7 71

597

.18

n.a.

n.a.

8 93

0D

EA

38W

aren

dorf

NU

TS

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5 12

896

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n.a.

n.a.

2 46

2D

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Det

mol

dN

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5898

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9.9

52 9

46D

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41B

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feld

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isfr

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Sta

dtN

UT

S 3

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254

DE

A42

Güt

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UT

S 3

(3) P

U8

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98.6

8n.

a.n.

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DE

A43

Her

ford

NU

TS

3(3

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5 80

999

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n.a.

4 47

2D

EA

44H

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UT

S 3

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95.4

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119

DE

A45

Lipp

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UT

S 3

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U7

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98.6

7n.

a.n.

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DE

A46

Min

den-

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NU

TS

3(2

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7 44

798

.26

n.a.

n.a.

8 64

5D

EA

47P

ader

born

NU

TS

3(2

) IR

5 93

698

.00

n.a.

n.a.

6 35

6

Eur

osta

tE

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tat

Eur

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tE

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tat

Eur

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Obj

ectiv

e 31

- To

uris

m In

fras

truc

ture

in

Rur

al A

reas

Obj

ectiv

e 29

- Ec

onom

ic D

evel

opm

ent o

f N

on-A

gric

ultu

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r(O

bjec

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29) -

Eco

nom

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30 -

Self-

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ent

(Obj

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) - S

elf-

Empl

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opm

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GV

A in

sec

onda

ry a

nd te

rtiar

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ctor

sS

hare

of s

econ

dary

and

terti

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sect

ors

in to

tal

GV

AS

elf-

empl

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per

sons

Sha

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f-em

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men

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tota

l em

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men

tT

otal

num

ber o

f bed

pla

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Eco

nom

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ccou

nts

Eco

nom

ic A

ccou

nts

Labo

ur F

orce

Sur

vey

Labo

ur F

orce

Sur

vey

2002

2002

2004

2004

2004

Mill

ion

euro

s%

Tho

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ds p

eopl

e em

ploy

ed%

bed

plac

es

DG

AG

RI -

G2

DG

AG

RI -

G2

DG

AG

RI -

G2

DG

AG

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G2

DG

AG

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2

248

Indi

cato

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Mea

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men

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t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DEA

5Ar

nsbe

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UTS

2(3

) PU

82 2

1199

.56

128.

98.

679

082

DE

A51

Boc

hum

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U9

945

99.9

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a.n.

a.2

910

DE

A52

Dor

tmun

d, K

reis

freie

Sta

dtN

UT

S 3

(3) P

U14

802

99.9

6n.

a.n.

a.5

464

DE

A53

Hag

en, K

reis

frei

e S

tadt

NU

TS

3(3

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4 94

399

.96

n.a.

n.a.

1 27

8D

EA

54H

amm

, Kre

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Sta

dtN

UT

S 3

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U3

159

99.4

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3D

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55H

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, Kre

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tadt

NU

TS

3(3

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2 71

610

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n.a.

n.a.

491

DE

A56

Enn

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NU

TS

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n.a.

3 27

4D

EA

57H

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land

krei

sN

UT

S 3

(1) P

R5

979

98.7

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439

DE

A58

Mär

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her K

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NU

TS

3(3

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10 2

6299

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n.a.

n.a.

4 46

5D

EA

59O

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NU

TS

3(3

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3 23

899

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n.a.

n.a.

8 97

6D

EA

5AS

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nste

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UT

S 3

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R7

078

99.7

2n.

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a.6

815

DE

A5B

Soe

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UT

S 3

(2) I

R6

520

98.0

7n.

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469

DE

A5C

Unn

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UT

S 3

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U7

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99.4

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538

DEB

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UTS

2(2

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29 9

8899

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65.0

10.1

108

745

DE

B11

Kob

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, Kre

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Sta

dtN

UT

S 3

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U4

881

99.9

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704

DE

B12

Ahr

wei

ler

NU

TS

3(2

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1 91

498

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n.a.

n.a.

19 4

40D

EB

13A

ltenk

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n (W

este

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d)N

UT

S 3

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R2

200

99.2

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412

DE

B14

Bad

Kre

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chN

UT

S 3

(2) I

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844

98.0

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a.10

461

DE

B15

Birk

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ldN

UT

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524

98.9

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115

DE

B16

Coc

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lN

UT

S 3

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108

97.4

5n.

a.n.

a.18

971

DE

B17

May

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oble

nzN

UT

S 3

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058

99.0

5n.

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328

DE

B18

Neu

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dN

UT

S 3

(3) P

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612

99.5

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145

DE

B19

Rhe

in-H

unsr

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Kre

isN

UT

S 3

(1) P

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094

98.5

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627

DE

B1A

Rhe

in-L

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Kre

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UT

S 3

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962

98.8

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891

DE

B1B

Wes

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NU

TS

3(2

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3 79

199

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n.a.

8 65

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UTS

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9 44

397

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23.7

10.7

73 1

22D

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21T

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Kre

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Sta

dtN

UT

S 3

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U3

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99.8

4n.

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813

DE

B22

Ber

nkas

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ittlic

hN

UT

S 3

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001

97.1

4n.

a.n.

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765

DE

B23

Bitb

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Prü

mN

UT

S 3

(1) P

R1

566

94.7

9n.

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394

DE

B24

Dau

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UT

S 3

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092

97.5

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794

DE

B25

Trie

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NU

TS

3(2

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1 70

896

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n.a.

n.a.

18 3

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44 5

4898

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98.8

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61D

EB

31Fr

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falz

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reis

frei

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tadt

NU

TS

3(3

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1 10

099

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n.a.

n.a.

681

hote

ls o

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DE

B32

Kai

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laut

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Kre

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Sta

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UT

S 3

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99.9

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DE

B33

Land

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Pfa

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NU

TS

3(3

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1 14

598

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n.a.

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409

hote

ls o

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DE

B34

Ludw

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afen

am

Rhe

in, K

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tadt

NU

TS

3(3

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7 96

799

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n.a.

n.a.

1 83

4ho

tels

onl

y

DE

B35

Mai

nz, K

reis

frei

e S

tadt

NU

TS

3(3

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7 61

799

.83

n.a.

n.a.

4 76

8ho

tels

onl

y

DE

B36

Neu

stad

t an

der W

eins

traße

, Kre

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Sta

dtN

UT

S 3

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077

98.4

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9D

EB

37P

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Kre

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tadt

NU

TS

3(3

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1 24

899

.84

n.a.

n.a.

407

hote

ls o

nly

DE

B38

Spe

yer,

Kre

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Sta

dtN

UT

S 3

(3) P

U1

458

99.8

6n.

a.n.

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3ho

tels

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y

DE

B39

Wor

ms,

Kre

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eie

Sta

dtN

UT

S 3

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744

98.8

1n.

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1ho

tels

onl

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DE

B3A

Zwei

brüc

ken,

Kre

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Sta

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UT

S 3

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U92

999

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409

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DE

B3B

Alz

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sN

UT

S 3

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787

93.6

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DE

B3C

Bad

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khei

mN

UT

S 3

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911

96.0

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258

DE

B3D

Don

ners

berg

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sN

UT

S 3

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166

97.6

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385

DE

B3E

Ger

mer

shei

mN

UT

S 3

(2) I

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610

98.4

9n.

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414

DE

B3F

Kai

sers

laut

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dkre

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UT

S 3

(2) I

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340

99.0

4n.

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317

DE

B3G

Kus

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UT

S 3

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1 96

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3HS

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NU

TS

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794

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7 96

9D

EB

3ILu

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NU

TS

3(3

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1 55

596

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1 03

8ho

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y

DE

B3J

Mai

nz-B

inge

nN

UT

S 3

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312

96.8

1n.

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449

DE

B3K

Süd

wes

tpfa

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UT

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481

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NU

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8099

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20 5

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NU

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599

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237

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NU

TS

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2 38

799

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1 12

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NU

TS

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4 37

099

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3 48

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UT

S 3

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99.7

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T200

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San

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197

DED

1C

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NU

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880

98.6

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465

DE

D11

Che

mni

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NU

TS

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5 34

899

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4 28

7D

ED

12P

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tadt

NU

TS

3(3

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1 21

899

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n.a.

n.a.

777

hote

ls o

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DE

D13

Zwic

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Kre

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Sta

dtN

UT

S 3

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99.9

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161

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DE

D14

Ann

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UT

S 3

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98.7

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440

DE

D15

Che

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Lan

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S 3

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124

98.8

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DE

D16

Frei

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17V

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TS

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497

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10 7

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18M

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197

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4D

ED

19M

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NU

TS

3(2

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1 81

096

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2 85

9

Obj

ectiv

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Obj

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in

Rur

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GV

A in

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AS

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Acc

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Acc

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For

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For

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0220

0420

0420

04

Mill

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AG

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DG

AG

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DG

AG

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AG

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AG

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2

249

Indi

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Mea

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Uni

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Cal

cula

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NU

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cod

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(Con

text

1)

DE

D1A

Sto

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gN

UT

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064

97.9

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185

sum

of a

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DE

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Aue

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999

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6D

ED

1CZw

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and

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1 75

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317

98.5

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456

DE

D21

Dre

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dtN

UT

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U11

307

99.8

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719

DE

D22

Gör

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Kre

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399

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898

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DE

D23

Hoy

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Sta

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UT

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U64

599

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390

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DE

D24

Bau

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NU

TS

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497

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4 58

0D

ED

25M

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328

97.6

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157

DE

D26

Nie

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chle

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her O

berla

usitz

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sN

UT

S 3

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093

96.0

5n.

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030

DE

D27

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sa-G

roße

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UT

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816

97.3

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720

DE

D28

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17 7

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NU

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10 0

3699

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1 75

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D36

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1 26

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Des

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(2) I

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527

97.7

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UT

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516

99.8

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DE

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1 74

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NU

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993

97.8

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DE

E14

Bitt

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99.0

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246

DE

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Köt

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NU

TS

3(2

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96.0

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DE

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UT

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96.7

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NU

TS 2

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645

98.1

929

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33

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sum

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vaila

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tadt

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sN

UT

S 3

(3) P

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799

99.9

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348

sum

of a

vaila

ble

data

DE

E22

Bur

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NU

TS

3(2

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1 95

297

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4 77

3D

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23M

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sum

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E24

Mer

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NU

TS

3(2

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2 64

797

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1 53

8su

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DE

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NU

TS 2

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97.1

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Mag

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NU

TS

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5 07

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4 14

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DE

E32

Asc

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NU

TS

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1 40

196

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sum

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ble

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DE

E33

Bör

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NU

TS

3(1

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789

DE

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Hal

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NU

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977

95.6

9n.

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DE

E35

Jeric

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and

NU

TS

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996

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1 23

9su

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DE

E36

Ohr

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UT

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96.6

2n.

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DE

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Ste

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NU

TS

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3 08

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6 67

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UT

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1 60

3D

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UT

S 3

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98.6

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DE

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Altm

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Sal

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UT

S 3

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93.1

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59 6

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373

99.9

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131

DE

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Kie

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NU

TS

3(3

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7 70

399

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3 70

6D

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UT

S 3

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513

99.8

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DE

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Sta

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UT

S 3

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99.8

5n.

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6ho

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DE

F05

Dith

mar

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nN

UT

S 3

(2) I

R2

746

95.7

1n.

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802

DE

F06

Her

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NU

TS

3(2

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2 82

197

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6 62

1D

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NU

TS

3(1

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3 43

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66 4

74D

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UT

S 3

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462

97.4

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DE

F09

Pin

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UT

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730

97.9

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DE

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Plö

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UT

S 3

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662

96.1

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DE

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Ren

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UT

S 3

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97.2

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DE

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Sch

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NU

TS

3(1

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3 03

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15 7

51D

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NU

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3(2

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5 24

298

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n.a.

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6 82

3D

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NU

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2 90

297

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1 08

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NU

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4 96

799

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2 35

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Thür

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37 4

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UT

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99.6

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NU

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2 03

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NU

TS

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2 44

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bed

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2004

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2002

2004

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Eco

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Eco

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Sur

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Sur

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Obj

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Suh

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NU

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99.7

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470

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Wei

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UT

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99.8

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97.0

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NU

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99.2

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GR

113

Rod

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Dra

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GR

115

Kav

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122

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Kas

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Flor

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Laris

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378

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Mag

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144

Trik

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2004

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Sur

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1)

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bed

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Cal

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426

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2294

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n.a.

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n.a.

11 5

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12 7

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71 0

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23 0

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n.a.

1 80

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97.5

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Obj

ectiv

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f N

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(Obj

ectiv

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) - S

elf-

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Obj

ectiv

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- To

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m In

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in

Rur

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sec

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Sha

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Cal

cula

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cod

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(Con

text

1)

ITG

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UT

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025

91.3

6n.

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9095

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80 6

34IT

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95.7

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UT

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044

90.6

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266

ITG

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96.8

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2(2

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7196

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UT

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171

96.0

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3(2

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91.4

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562

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NU

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3(3

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5 05

199

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8 69

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819

92.3

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NU

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86.7

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UT

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216.

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NU

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90.8

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681

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2K

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UT

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387

93.7

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UT

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537

95.0

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(Aps

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UT

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464

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NU

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240

79.9

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812

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NU

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544

92.2

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337

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UT

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24 2

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14.7

7.9

66 5

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UT

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290

99.4

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568

HU

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27 5

4999

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115

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896

HU

101

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UT

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(3) P

U21

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99.6

3n.

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162

HU

102

Pes

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UT

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628

97.0

4n.

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734

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21K

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2(2

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195

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54.7

12.0

56 3

30H

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NU

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3(1

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2 30

595

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9 48

7H

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NU

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3(2

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196

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9 99

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36 8

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NU

TS 2

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976

95.8

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912

HU

221

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NU

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22 2

18H

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UT

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516

95.5

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964

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223

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NU

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3(1

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1 47

795

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24 7

30H

U23

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4 02

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47.2

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65 3

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93.3

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106

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232

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1 25

391

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45 2

18H

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NU

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5 03

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NU

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96.2

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312

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313

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96.1

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946

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32És

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69.4

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37 6

24H

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UT

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249

92.7

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322

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NU

TS

3(1

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1 57

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11 2

52H

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92.4

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296

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91.0

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531

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331

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89.7

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447

HU

332

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UT

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90.3

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555

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333

Cso

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NU

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98.4

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14 2

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41.5

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53 5

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13 9

96N

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96.3

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39 9

99

DG

AG

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GR

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G A

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2

bed

plac

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n eu

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%T

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ands

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%

2002

2004

2004

2004

2002

Labo

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Sur

vey

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Sel

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Tour

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Infr

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Are

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Econ

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Non

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257

Indi

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Mea

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Cal

cula

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NU

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G O

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(Con

text

1)

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32Zu

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p94

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pn.

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151

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359

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262

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700

p97

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56 9

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bed

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Eco

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Pop

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Obj

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35 -

Life

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Rur

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267

Indi

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Mea

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Cal

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text

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DE

148

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igm

arin

gen

NU

TS

3(1

) PR

59.8

1n.

a.n.

a.D

E21

Obe

rbay

ern

NU

TS 2

(2) I

R74

.29

5.8

7.9

DE

211

Ingo

lsta

dt, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

39.7

5n.

a.n.

a.D

E21

2M

ünch

en, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

77.1

4n.

a.n.

a.D

E21

3R

osen

heim

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U73

.63

n.a.

n.a.

DE

214

Altö

tting

NU

TS

3(2

) IR

41.5

7n.

a.n.

a.D

E21

5B

erch

tesg

aden

er L

and

NU

TS

3(2

) IR

77.9

2n.

a.n.

a.D

E21

6B

ad T

ölz-

Wol

frat

shau

sen

NU

TS

3(2

) IR

70.2

8n.

a.n.

a.D

E21

7D

acha

uN

UT

S 3

(2)

IR67

.06

n.a.

n.a.

DE

218

Ebe

rsbe

rgN

UT

S 3

(2)

IR75

.71

n.a.

n.a.

DE

219

Eic

hstä

ttN

UT

S 3

(1) P

R60

.76

n.a.

n.a.

DE

21A

Erd

ing

NU

TS

3(1

) PR

79.7

6n.

a.n.

a.D

E21

BF

reis

ing

NU

TS

3(2

) IR

78.8

4n.

a.n.

a.D

E21

CF

ürst

enfe

ldbr

uck

NU

TS

3(3

) PU

79.7

7n.

a.n.

a.D

E21

DG

arm

isch

-Par

tenk

irche

nN

UT

S 3

(1) P

R85

.91

n.a.

n.a.

DE

21E

Land

sber

g am

Lec

hN

UT

S 3

(1) P

R74

.58

n.a.

n.a.

DE

21F

Mie

sbac

hN

UT

S 3

(2)

IR77

.44

n.a.

n.a.

DE

21G

Müh

ldor

f am

Inn

NU

TS

3(2

) IR

61.2

1n.

a.n.

a.D

E21

HM

ünch

en, L

andk

reis

NU

TS

3(3

) PU

87.1

6n.

a.n.

a.D

E21

IN

eubu

rg-S

chro

benh

ause

nN

UT

S 3

(2)

IR60

.32

n.a.

n.a.

DE

21J

Pfa

ffenh

ofen

an

der

IlmN

UT

S 3

(2)

IR62

.70

n.a.

n.a.

DE

21K

Ros

enhe

im, L

andk

reis

NU

TS

3(2

) IR

69.6

0n.

a.n.

a.D

E21

LS

tarn

berg

NU

TS

3(3

) PU

76.6

3n.

a.n.

a.D

E21

MT

raun

stei

nN

UT

S 3

(1) P

R62

.57

n.a.

n.a.

DE

21N

Wei

lhei

m-S

chon

gau

NU

TS

3(2

) IR

59.4

2n.

a.n.

a.D

E22

Nie

derb

ayer

nN

UTS

2(1

) PR

58.9

23.

65.

6D

E22

1La

ndsh

ut, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

68.8

9n.

a.n.

a.D

E22

2P

assa

u, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

71.7

7n.

a.n.

a.D

E22

3S

trau

bing

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U76

.04

n.a.

n.a.

DE

224

Deg

gend

orf

NU

TS

3(1

) PR

60.7

9n.

a.n.

a.D

E22

5F

reyu

ng-G

rafe

nau

NU

TS

3(1

) PR

65.4

6n.

a.n.

a.D

E22

6K

elhe

imN

UT

S 3

(2)

IR55

.80

n.a.

n.a.

DE

227

Land

shut

, Lan

dkre

isN

UT

S 3

(1) P

R52

.93

n.a.

n.a.

DE

228

Pas

sau,

Lan

dkre

isN

UT

S 3

(1) P

R63

.34

n.a.

n.a.

DE

229

Reg

enN

UT

S 3

(1) P

R64

.93

n.a.

n.a.

DE

22A

Rot

tal-I

nnN

UT

S 3

(1) P

R62

.58

n.a.

n.a.

DE

22B

Str

aubi

ng-B

ogen

NU

TS

3(1

) PR

63.9

8n.

a.n.

a.D

E22

CD

ingo

lfing

-Lan

dau

NU

TS

3(1

) PR

27.4

6n.

a.n.

a.D

E23

Obe

rpfa

lzN

UTS

2(1

) PR

63.9

62.

36.

9D

E23

1A

mbe

rg, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

65.6

3n.

a.n.

a.D

E23

2R

egen

sbur

g, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

63.1

7n.

a.n.

a.D

E23

3W

eide

n in

der

Obe

rpfa

lz, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

80.2

1n.

a.n.

a.D

E23

4A

mbe

rg-S

ulzb

ach

NU

TS

3(1

) PR

63.6

8n.

a.n.

a.D

E23

5C

ham

NU

TS

3(1

) PR

64.5

6n.

a.n.

a.D

E23

6N

eum

arkt

in d

er O

berp

falz

NU

TS

3(1

) PR

61.4

7n.

a.n.

a.D

E23

7N

eust

adt a

n de

r W

aldn

aab

NU

TS

3(1

) PR

57.4

1n.

a.n.

a.D

E23

8R

egen

sbur

g, L

andk

reis

NU

TS

3(2

) IR

71.0

7n.

a.n.

a.D

E23

9S

chw

ando

rfN

UT

S 3

(1) P

R59

.61

n.a.

n.a.

DE

23A

Tirs

chen

reut

hN

UT

S 3

(1) P

R55

.20

n.a.

n.a.

DE2

4O

berf

rank

enN

UTS

2(2

) IR

62.3

10.

47.

6D

E24

1B

ambe

rg, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

61.5

9n.

a.n.

a.D

E24

2B

ayre

uth,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U73

.78

n.a.

n.a.

DE

243

Cob

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U67

.64

n.a.

n.a.

DE

244

Hof

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U75

.90

n.a.

n.a.

DE

245

Bam

berg

, Lan

dkre

isN

UT

S 3

(2)

IR62

.20

n.a.

n.a.

DE

246

Bay

reut

h, L

andk

reis

NU

TS

3(1

) PR

67.2

7n.

a.n.

a.D

E24

7C

obur

g, L

andk

reis

NU

TS

3(2

) IR

42.2

1n.

a.n.

a.D

E24

8F

orch

heim

NU

TS

3(2

) IR

68.4

7n.

a.n.

a.D

E24

9H

of, L

andk

reis

NU

TS

3(1

) PR

53.4

2n.

a.n.

a.D

E24

AK

rona

chN

UT

S 3

(1) P

R54

.21

n.a.

n.a.

DE

24B

Kul

mba

chN

UT

S 3

(1) P

R58

.61

n.a.

n.a.

DE

24C

Lich

tenf

els

NU

TS

3(2

) IR

65.5

6n.

a.n.

a.D

E24

DW

unsi

edel

im F

icht

elge

birg

eN

UT

S 3

(2)

IR59

.56

n.a.

n.a.

DE2

5M

ittel

fran

ken

NU

TS 2

(2) I

R69

.34

3.3

7.5

DE

251

Ans

bach

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U71

.40

n.a.

n.a.

DE

252

Erla

ngen

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U62

.31

n.a.

n.a.

DE

253

Für

th, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

81.4

2n.

a.n.

a.D

E25

4N

ürnb

erg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U73

.92

n.a.

n.a.

Obj

ectiv

e 33

- D

evel

opm

ent o

f Se

rvic

es S

ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

Sha

re o

f GV

A in

ser

vice

s (%

to

tal G

VA

)N

et m

igra

tion

crud

e ra

te%

of 2

5_64

y.o

. par

ticip

atin

g in

ed

ucat

ion

and

trai

ning

Eur

osta

tE

uros

tat

Eur

osta

tE

cono

mic

Acc

ount

sP

opul

atio

n st

atis

tics

Labo

ur F

orce

Sur

vey

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K%

rate

per

100

0%

DG

AG

RI -

G2

DG

AG

RI-

G2

DG

AG

RI-

G2

268

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

255

Sch

wab

ach,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U62

.87

n.a.

n.a.

DE

256

Ans

bach

, Lan

dkre

isN

UT

S 3

(1) P

R60

.58

n.a.

n.a.

DE

257

Erla

ngen

-Höc

hsta

dtN

UT

S 3

(3) P

U60

.16

n.a.

n.a.

DE

258

Für

th, L

andk

reis

NU

TS

3(3

) PU

72.6

7n.

a.n.

a.D

E25

9N

uern

berg

er L

and

NU

TS

3(2

) IR

61.3

3n.

a.n.

a.D

E25

AN

eust

adt a

n de

r A

isch

-Bad

Win

dshe

imN

UT

S 3

(1) P

R65

.35

n.a.

n.a.

DE

25B

Rot

hN

UT

S 3

(1) P

R68

.42

n.a.

n.a.

DE

25C

Wei

ßen

burg

-Gun

zenh

ause

nN

UT

S 3

(1) P

R59

.45

n.a.

n.a.

DE2

6U

nter

fran

ken

NU

TS 2

(2) I

R64

.54

1.5

7.5

DE

261

Asc

haffe

nbur

g, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

68.1

7n.

a.n.

a.D

E26

2S

chw

einf

urt,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U49

.75

n.a.

n.a.

DE

263

Wür

zbur

g, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

81.1

6n.

a.n.

a.D

E26

4A

scha

ffenb

urg,

Lan

dkre

isN

UT

S 3

(3) P

U63

.18

n.a.

n.a.

DE

265

Bad

Kis

sing

enN

UT

S 3

(1) P

R72

.42

n.a.

n.a.

DE

266

Rhö

n-G

rabf

eld

NU

TS

3(1

) PR

62.3

9n.

a.n.

a.D

E26

7H

aßbe

rge

NU

TS

3(1

) PR

54.5

6n.

a.n.

a.D

E26

8K

itzin

gen

NU

TS

3(2

) IR

64.6

3n.

a.n.

a.D

E26

9M

ilten

berg

NU

TS

3(2

) IR

58.9

9n.

a.n.

a.D

E26

AM

ain-

Spe

ssar

tN

UT

S 3

(2)

IR48

.41

n.a.

n.a.

DE

26B

Sch

wei

nfur

t, La

ndkr

eis

NU

TS

3(2

) IR

71.7

8n.

a.n.

a.D

E26

CW

ürzb

urg,

Lan

dkre

isN

UT

S 3

(2)

IR72

.13

n.a.

n.a.

DE2

7Sc

hwab

enN

UTS

2(2

) IR

62.5

83.

97.

4D

E27

1A

ugsb

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U65

.33

n.a.

n.a.

DE

272

Kau

fbeu

ren,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U80

.15

n.a.

n.a.

DE

273

Kem

pten

(A

llgäu

), K

reis

frei

e S

tadt

NU

TS

3(3

) PU

73.7

8n.

a.n.

a.D

E27

4M

emm

inge

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

59.9

1n.

a.n.

a.D

E27

5A

icha

ch-F

riedb

erg

NU

TS

3(2

) IR

62.2

5n.

a.n.

a.D

E27

6A

ugsb

urg,

Lan

dkre

isN

UT

S 3

(2)

IR61

.41

n.a.

n.a.

DE

277

Dill

inge

n an

der

Don

auN

UT

S 3

(2)

IR63

.75

n.a.

n.a.

DE

278

Gün

zbur

gN

UT

S 3

(2)

IR62

.86

n.a.

n.a.

DE

279

Neu

-Ulm

NU

TS

3(3

) PU

58.3

2n.

a.n.

a.D

E27

ALi

ndau

(B

oden

see)

NU

TS

3(2

) IR

58.4

9n.

a.n.

a.D

E27

BO

stal

lgäu

NU

TS

3(1

) PR

59.3

6n.

a.n.

a.D

E27

CU

nter

allg

äuN

UT

S 3

(1) P

R54

.86

n.a.

n.a.

DE

27D

Don

au-R

ies

NU

TS

3(1

) PR

56.4

1n.

a.n.

a.D

E27

EO

bera

llgäu

NU

TS

3(1

) PR

65.7

2n.

a.n.

a.D

E30

Ber

linN

UTS

2(3

) PU

82.4

40.

111

.1D

E30

0B

erlin

NU

TS

3(3

) PU

82.4

4n.

a.n.

a.D

E41

Bra

nden

burg

- N

ordo

stN

UTS

2(2

) IR

70.4

91.

17.

7D

E41

1F

rank

furt

(O

der)

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U88

.85

n.a.

n.a.

DE

412

Bar

nim

NU

TS

3(2

) IR

78.9

5n.

a.n.

a.D

E41

3M

ärki

sch-

Ode

rland

NU

TS

3(2

) IR

78.2

8n.

a.n.

a.D

E41

4O

berh

avel

NU

TS

3(2

) IR

69.8

8n.

a.n.

a.D

E41

5O

der-

Spr

eeN

UT

S 3

(2)

IR61

.70

n.a.

n.a.

DE

416

Ost

prig

nitz

-Rup

pin

NU

TS

3(1

) PR

67.8

3n.

a.n.

a.D

E41

7P

rigni

tzN

UT

S 3

(1) P

R70

.11

n.a.

n.a.

DE

418

Uck

erm

ark

NU

TS

3(1

) PR

56.6

4n.

a.n.

a.D

E42

Bra

nden

burg

- Sü

dwes

tN

UTS

2(1

) PR

74.3

4-0

.27.

9D

E42

1B

rand

enbu

rg a

n de

r H

avel

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U73

.95

n.a.

n.a.

DE

422

Cot

tbus

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U86

.34

n.a.

n.a.

DE

423

Pot

sdam

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U89

.18

n.a.

n.a.

DE

424

Dah

me-

Spr

eew

ald

NU

TS

3(1

) PR

77.5

3n.

a.n.

a.D

E42

5E

lbe-

Els

ter

NU

TS

3(1

) PR

67.4

1n.

a.n.

a.D

E42

6H

avel

land

NU

TS

3(2

) IR

70.1

8n.

a.n.

a.D

E42

7O

bers

pree

wal

d-La

usitz

NU

TS

3(2

) IR

65.1

1n.

a.n.

a.D

E42

8P

otsd

am-M

ittel

mar

kN

UT

S 3

(2)

IR76

.35

n.a.

n.a.

DE

429

Spr

ee-N

eiß

eN

UT

S 3

(2)

IR54

.18

n.a.

n.a.

DE

42A

Tel

tow

-Flä

min

gN

UT

S 3

(2)

IR71

.24

n.a.

n.a.

DE5

0B

rem

enN

UTS

2(3

) PU

70.3

24.

78.

3D

E50

1B

rem

en, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

69.5

7n.

a.n.

a.D

E50

2B

rem

erha

ven,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U75

.03

n.a.

n.a.

DE6

0H

ambu

rgN

UTS

2(3

) PU

81.1

74.

38.

3D

E60

0H

ambu

rgN

UT

S 3

(3) P

U81

.17

n.a.

n.a.

DE7

1D

arm

stad

tN

UTS

2(3

) PU

78.1

00.

88.

0D

E71

1D

arm

stad

t, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

78.0

9n.

a.n.

a.D

E71

2F

rank

furt

am

Mai

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

83.7

4n.

a.n.

a.D

E71

3O

ffenb

ach

am M

ain,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U74

.72

n.a.

n.a.

DE

714

Wie

sbad

en, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

85.6

9n.

a.n.

a.D

E71

5B

ergs

traß

eN

UT

S 3

(3) P

U66

.99

n.a.

n.a.

Obj

ectiv

e 33

- D

evel

opm

ent o

f Se

rvic

es S

ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

Sha

re o

f GV

A in

ser

vice

s (%

to

tal G

VA

)N

et m

igra

tion

crud

e ra

te%

of 2

5_64

y.o

. par

ticip

atin

g in

ed

ucat

ion

and

trai

ning

Eur

osta

tE

uros

tat

Eur

osta

tE

cono

mic

Acc

ount

sP

opul

atio

n st

atis

tics

Labo

ur F

orce

Sur

vey

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K%

rate

per

100

0%

DG

AG

RI -

G2

DG

AG

RI-

G2

DG

AG

RI-

G2

269

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

716

Dar

mst

adt-D

iebu

rgN

UT

S 3

(3) P

U70

.77

n.a.

n.a.

DE

717

Gro

ß-G

erau

NU

TS

3(3

) PU

69.6

7n.

a.n.

a.D

E71

8H

ocht

aunu

skre

isN

UT

S 3

(3) P

U77

.84

n.a.

n.a.

DE

719

Mai

n-K

inzi

g-K

reis

NU

TS

3(3

) PU

62.8

7n.

a.n.

a.D

E71

AM

ain-

Tau

nus-

Kre

isN

UT

S 3

(3) P

U83

.26

n.a.

n.a.

DE

71B

Ode

nwal

dkre

isN

UT

S 3

(3) P

U60

.82

n.a.

n.a.

DE

71C

Offe

nbac

h, L

andk

reis

NU

TS

3(3

) PU

78.2

5n.

a.n.

a.D

E71

DR

hein

gau-

Tau

nus-

Kre

isN

UT

S 3

(3) P

U77

.07

n.a.

n.a.

DE

71E

Wet

tera

ukre

isN

UT

S 3

(3) P

U73

.51

n.a.

n.a.

DE7

2G

ieße

nN

UTS

2(2

) IR

66.0

51.

09.

1D

E72

1G

ieß

en, L

andk

reis

NU

TS

3(3

) PU

77.4

0n.

a.n.

a.D

E72

2La

hn-D

ill-K

reis

NU

TS

3(3

) PU

54.7

1n.

a.n.

a.D

E72

3Li

mbu

rg-W

eilb

urg

NU

TS

3(3

) PU

72.8

8n.

a.n.

a.D

E72

4M

arbu

rg-B

iede

nkop

fN

UT

S 3

(2)

IR60

.71

n.a.

n.a.

DE

725

Vog

elsb

ergk

reis

NU

TS

3(1

) PR

69.0

5n.

a.n.

a.D

E73

Kas

sel

NU

TS 2

(2) I

R68

.62

0.7

6.2

DE

731

Kas

sel,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U78

.34

n.a.

n.a.

DE

732

Ful

daN

UT

S 3

(2)

IR69

.54

n.a.

n.a.

DE

733

Her

sfel

d-R

oten

burg

NU

TS

3(2

) IR

65.6

2n.

a.n.

a.D

E73

4K

asse

l, La

ndkr

eis

NU

TS

3(2

) IR

61.4

1n.

a.n.

a.D

E73

5S

chw

alm

-Ede

r-K

reis

NU

TS

3(2

) IR

69.3

3n.

a.n.

a.D

E73

6W

alde

ck-F

rank

enbe

rgN

UT

S 3

(1) P

R59

.56

n.a.

n.a.

DE

737

Wer

ra-M

eiß

ner-

Kre

isN

UT

S 3

(1) P

R68

.07

n.a.

n.a.

DE8

0M

eckl

enbu

rg-V

orpo

mm

ern

NU

TS 2

(2) I

R76

.95

-4.3

9.0

DE

801

Gre

ifsw

ald,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U87

.49

n.a.

n.a.

DE

802

Neu

bran

denb

urg,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U82

.73

n.a.

n.a.

DE

803

Ros

tock

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U84

.37

n.a.

n.a.

DE

804

Sch

wer

in, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

84.8

3n.

a.n.

a.D

E80

5S

tral

sund

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U88

.48

n.a.

n.a.

DE

806

Wis

mar

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U60

.89

n.a.

n.a.

DE

807

Bad

Dob

eran

NU

TS

3(1

) PR

73.6

5n.

a.n.

a.D

E80

8D

emm

inN

UT

S 3

(1) P

R65

.51

n.a.

n.a.

DE

809

Güs

trow

NU

TS

3(1

) PR

67.9

2n.

a.n.

a.D

E80

ALu

dwig

slus

tN

UT

S 3

(1) P

R67

.76

n.a.

n.a.

DE

80B

Mec

klen

burg

-Str

elitz

NU

TS

3(1

) PR

77.9

2n.

a.n.

a.D

E80

CM

üritz

NU

TS

3(1

) PR

70.3

8n.

a.n.

a.D

E80

DN

ordv

orpo

mm

ern

NU

TS

3(1

) PR

74.6

4n.

a.n.

a.D

E80

EN

ordw

estm

eckl

enbu

rgN

UT

S 3

(1) P

R63

.11

n.a.

n.a.

DE

80F

Ost

vorp

omm

ern

NU

TS

3(1

) PR

75.0

4n.

a.n.

a.D

E80

GP

arch

imN

UT

S 3

(1) P

R73

.87

n.a.

n.a.

DE

80H

Rüg

enN

UT

S 3

(1) P

R82

.36

n.a.

n.a.

DE

80I

Uec

ker-

Ran

dow

NU

TS

3(1

) PR

81.4

2n.

a.n.

a.D

E91

Bra

unsc

hwei

gN

UTS

2(2

) IR

57.7

51.

76.

8D

E91

1B

raun

schw

eig,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U74

.75

n.a.

n.a.

DE

912

Sal

zgitt

er, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

42.9

5n.

a.n.

a.D

E91

3W

olfs

burg

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U22

.72

n.a.

n.a.

DE

914

Gifh

orn

NU

TS

3(2

) IR

69.7

6n.

a.n.

a.D

E91

5G

öttin

gen

NU

TS

3(2

) IR

74.6

9n.

a.n.

a.D

E91

6G

osla

rN

UT

S 3

(3) P

U67

.63

n.a.

n.a.

DE

917

Hel

mst

edt

NU

TS

3(2

) IR

64.5

8n.

a.n.

a.D

E91

8N

orth

eim

NU

TS

3(1

) PR

63.9

7n.

a.n.

a.D

E91

9O

ster

ode

am H

arz

NU

TS

3(3

) PU

51.2

0n.

a.n.

a.D

E91

AP

eine

NU

TS

3(2

) IR

65.0

5n.

a.n.

a.D

E91

BW

olfe

nbüt

tel

NU

TS

3(2

) IR

73.8

7n.

a.n.

a.D

E92

Han

nove

rN

UTS

2(2

) IR

72.5

32.

36.

4D

E92

2D

ieph

olz

NU

TS

3(1

) PR

68.9

5n.

a.n.

a.D

E92

3H

amel

n-P

yrm

ont

NU

TS

3(2

) IR

68.2

5n.

a.n.

a.D

E92

5H

ildes

heim

NU

TS

3(2

) IR

68.3

8n.

a.n.

a.D

E92

6H

olzm

inde

nN

UT

S 3

(2)

IR53

.45

n.a.

n.a.

DE

927

Nie

nbur

g (W

eser

)N

UT

S 3

(1) P

R56

.15

n.a.

n.a.

DE

928

Sch

aum

burg

NU

TS

3(3

) PU

66.6

4n.

a.n.

a.D

E92

9R

egio

n H

anno

ver

NU

TS

3(3

) PU

77.0

4n.

a.n.

a.D

E93

Lüne

burg

NU

TS 2

(2) I

R71

.58

5.4

6.5

DE

931

Cel

leN

UT

S 3

(2)

IR66

.20

n.a.

n.a.

DE

932

Cux

have

nN

UT

S 3

(1) P

R75

.28

n.a.

n.a.

DE

933

Har

burg

NU

TS

3(2

) IR

82.5

3n.

a.n.

a.D

E93

4Lü

chow

-Dan

nenb

erg

NU

TS

3(1

) PR

65.5

1n.

a.n.

a.D

E93

5Lü

nebu

rg, L

andk

reis

NU

TS

3(2

) IR

74.6

4n.

a.n.

a.D

E93

6O

ster

hol z

NU

TS

3(2

) IR

75.9

9n.

a.n.

a.

Obj

ectiv

e 33

- D

evel

opm

ent o

f Se

rvic

es S

ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

Sha

re o

f GV

A in

ser

vice

s (%

to

tal G

VA

)N

et m

igra

tion

crud

e ra

te%

of 2

5_64

y.o

. par

ticip

atin

g in

ed

ucat

ion

and

trai

ning

Eur

osta

tE

uros

tat

Eur

osta

tE

cono

mic

Acc

ount

sP

opul

atio

n st

atis

tics

Labo

ur F

orce

Sur

vey

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K%

rate

per

100

0%

DG

AG

RI -

G2

DG

AG

RI-

G2

DG

AG

RI-

G2

270

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

937

Rot

enbu

rg (

Wüm

me)

NU

TS

3(1

) PR

72.2

5n.

a.n.

a.D

E93

8S

olta

u-F

allin

gbos

tel

NU

TS

3(1

) PR

73.5

2n.

a.n.

a.D

E93

9S

tade

NU

TS

3(2

) IR

62.3

7n.

a.n.

a.D

E93

AU

elze

nN

UT

S 3

(2)

IR78

.05

n.a.

n.a.

DE

93B

Ver

den

NU

TS

3(2

) IR

65.4

0n.

a.n.

a.D

E94

Wes

er-E

ms

NU

TS 2

(2) I

R65

.28

4.3

5.5

DE

941

Del

men

hors

t, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

78.5

3n.

a.n.

a.D

E94

2E

mde

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

43.9

7n.

a.n.

a.D

E94

3O

lden

burg

(O

lden

burg

), K

reis

frei

e S

tadt

NU

TS

3(3

) PU

81.9

4n.

a.n.

a.D

E94

4O

snab

rück

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U73

.23

n.a.

n.a.

DE

945

Wilh

elm

shav

en, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

69.0

7n.

a.n.

a.D

E94

6A

mm

erla

ndN

UT

S 3

(2)

IR66

.11

n.a.

n.a.

DE

947

Aur

ich

NU

TS

3(2

) IR

75.2

3n.

a.n.

a.D

E94

8C

lopp

enbu

rgN

UT

S 3

(1) P

R53

.47

n.a.

n.a.

DE

949

Em

slan

dN

UT

S 3

(1) P

R56

.40

n.a.

n.a.

DE

94A

Frie

slan

dN

UT

S 3

(2)

IR70

.40

n.a.

n.a.

DE

94B

Gra

fsch

aft B

enth

eim

NU

TS

3(2

) IR

64.1

3n.

a.n.

a.D

E94

CLe

erN

UT

S 3

(2)

IR75

.71

n.a.

n.a.

DE

94D

Old

enbu

rg, L

andk

reis

NU

TS

3(1

) PR

68.4

9n.

a.n.

a.D

E94

EO

snab

rück

, Lan

dkre

isN

UT

S 3

(2)

IR60

.33

n.a.

n.a.

DE

94F

Vec

hta

NU

TS

3(2

) IR

57.2

2n.

a.n.

a.D

E94

GW

eser

mar

sch

NU

TS

3(2

) IR

48.4

3n.

a.n.

a.D

E94

HW

ittm

und

NU

TS

3(1

) PR

74.8

1n.

a.n.

a.D

EA1

Düs

seld

orf

NU

TS 2

(3) P

U74

.64

2.1

6.3

DE

A11

Düs

seld

orf,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U87

.07

n.a.

n.a.

DE

A12

Dui

sbur

g, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

68.0

1n.

a.n.

a.D

EA

13E

ssen

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U78

.12

n.a.

n.a.

DE

A14

Kre

feld

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U61

.10

n.a.

n.a.

DE

A15

Mön

chen

glad

bach

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U71

.34

n.a.

n.a.

DE

A16

Mül

heim

an

der

Ruh

r, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

75.6

8n.

a.n.

a.D

EA

17O

berh

ause

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

76.0

8n.

a.n.

a.D

EA

18R

emsc

heid

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U52

.82

n.a.

n.a.

DE

A19

Sol

inge

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

67.6

8n.

a.n.

a.D

EA

1AW

uppe

rtal,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U69

.28

n.a.

n.a.

DE

A1B

Kle

veN

UT

S 3

(3) P

U71

.62

n.a.

n.a.

DE

A1C

Met

tman

nN

UT

S 3

(3) P

U67

.97

n.a.

n.a.

DE

A1D

Neu

ssN

UT

S 3

(3) P

U70

.92

n.a.

n.a.

DE

A1E

Vie

rsen

NU

TS

3(3

) PU

70.9

1n.

a.n.

a.D

EA

1FW

esel

NU

TS

3(3

) PU

72.6

6n.

a.n.

a.D

EA2

Köl

nN

UTS

2(3

) PU

75.5

05.

07.

7D

EA

21A

ache

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

79.1

8n.

a.n.

a.D

EA

22B

onn,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U91

.30

n.a.

n.a.

DE

A23

Köl

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

81.0

8n.

a.n.

a.D

EA

24Le

verk

usen

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U45

.59

n.a.

n.a.

DE

A25

Aac

hen,

Lan

dkre

isN

UT

S 3

(3) P

U66

.37

n.a.

n.a.

DE

A26

Dür

enN

UT

S 3

(3) P

U69

.66

n.a.

n.a.

DE

A27

Erf

tkre

isN

UT

S 3

(3) P

U69

.28

n.a.

n.a.

DE

A28

Eus

kirc

hen

NU

TS

3(2

) IR

71.0

3n.

a.n.

a.D

EA

29H

eins

berg

NU

TS

3(3

) PU

73.3

9n.

a.n.

a.D

EA

2AO

berb

ergi

sche

r K

reis

NU

TS

3(3

) PU

58.5

2n.

a.n.

a.D

EA

2BR

hein

isch

-Ber

gisc

her-

Kre

isN

UT

S 3

(3) P

U76

.12

n.a.

n.a.

DE

A2C

Rhe

in-S

ieg-

Kre

isN

UT

S 3

(3) P

U76

.84

n.a.

n.a.

DEA

3M

ünst

erN

UTS

2(3

) PU

69.6

21.

06.

7D

EA

31B

ottr

op, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

80.3

5n.

a.n.

a.D

EA

32G

else

nkirc

hen,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U59

.11

n.a.

n.a.

DE

A33

Mün

ster

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U83

.02

n.a.

n.a.

DE

A34

Bor

ken

NU

TS

3(3

) PU

58.9

2n.

a.n.

a.D

EA

35C

oesf

eld

NU

TS

3(2

) IR

70.6

5n.

a.n.

a.D

EA

36R

eckl

ingh

ause

nN

UT

S 3

(3) P

U76

.51

n.a.

n.a.

DE

A37

Ste

infu

rtN

UT

S 3

(3) P

U67

.23

n.a.

n.a.

DE

A38

War

endo

rfN

UT

S 3

(2)

IR59

.96

n.a.

n.a.

DEA

4D

etm

old

NU

TS 2

(3) P

U64

.85

1.7

6.5

DE

A41

Bie

lefe

ld, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

75.0

2n.

a.n.

a.D

EA

42G

üter

sloh

NU

TS

3(3

) PU

54.7

4n.

a.n.

a.D

EA

43H

erfo

rdN

UT

S 3

(3) P

U58

.60

n.a.

n.a.

DE

A44

Höx

ter

NU

TS

3(2

) IR

68.0

1n.

a.n.

a.D

EA

45Li

ppe

NU

TS

3(3

) PU

66.5

0n.

a.n.

a.D

EA

46M

inde

n-Lü

bbec

keN

UT

S 3

(2)

IR63

.66

n.a.

n.a.

DE

A47

Pad

erbo

rnN

UT

S 3

(2)

IR69

.23

n.a.

n.a.

Labo

ur F

orce

Sur

vey

Eur

osta

tE

uros

tat

Eur

osta

t

% o

f 25_

64 y

.o. p

artic

ipat

ing

in

educ

atio

n an

d tr

aini

ng

Obj

ectiv

e 33

- D

evel

opm

ent o

f Se

rvic

es S

ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

Sha

re o

f GV

A in

ser

vice

s (%

to

tal G

VA

)N

et m

igra

tion

crud

e ra

te

Eco

nom

ic A

ccou

nts

Pop

ulat

ion

stat

istic

s20

0220

0320

0420

02 fo

r E

L, 2

001

for

FR

, IE

, SK

, 199

9 fo

r UK

%ra

te p

er 1

000

%

DG

AG

RI -

G2

DG

AG

RI-

G2

DG

AG

RI-

G2

271

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DEA

5Ar

nsbe

rgN

UTS

2(3

) PU

66.8

0-1

.26.

2D

EA

51B

ochu

m, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

80.5

4n.

a.n.

a.D

EA

52D

ortm

und,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U79

.48

n.a.

n.a.

DE

A53

Hag

en, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

68.9

6n.

a.n.

a.D

EA

54H

amm

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U75

.98

n.a.

n.a.

DE

A55

Her

ne, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

75.2

6n.

a.n.

a.D

EA

56E

nnep

e-R

uhr-

Kre

isN

UT

S 3

(3) P

U60

.21

n.a.

n.a.

DE

A57

Hoc

hsau

erla

ndkr

eis

NU

TS

3(1

) PR

59.4

9n.

a.n.

a.D

EA

58M

ärki

sche

r K

reis

NU

TS

3(3

) PU

50.5

8n.

a.n.

a.D

EA

59O

lpe

NU

TS

3(3

) PU

47.9

1n.

a.n.

a.D

EA

5AS

iege

n-W

ittge

nste

inN

UT

S 3

(2)

IR59

.90

n.a.

n.a.

DE

A5B

Soe

stN

UT

S 3

(2)

IR59

.25

n.a.

n.a.

DE

A5C

Unn

aN

UT

S 3

(3) P

U70

.69

n.a.

n.a.

DEB

1K

oble

nzN

UTS

2(2

) IR

69.1

63.

15.

1D

EB

11K

oble

nz, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

82.3

4n.

a.n.

a.D

EB

12A

hrw

eile

rN

UT

S 3

(2)

IR76

.21

n.a.

n.a.

DE

B13

Alte

nkirc

hen

(Wes

terw

ald)

NU

TS

3(2

) IR

63.1

3n.

a.n.

a.D

EB

14B

ad K

reuz

nach

NU

TS

3(2

) IR

68.2

3n.

a.n.

a.D

EB

15B

irken

feld

NU

TS

3(2

) IR

70.5

4n.

a.n.

a.D

EB

16C

oche

m-Z

ell

NU

TS

3(1

) PR

73.9

7n.

a.n.

a.D

EB

17M

ayen

-Kob

lenz

NU

TS

3(2

) IR

68.0

3n.

a.n.

a.D

EB

18N

euw

ied

NU

TS

3(3

) PU

61.1

3n.

a.n.

a.D

EB

19R

hein

-Hun

srüc

k-K

reis

NU

TS

3(1

) PR

60.8

5n.

a.n.

a.D

EB

1AR

hein

-Lah

n-K

reis

NU

TS

3(2

) IR

68.1

6n.

a.n.

a.D

EB

1BW

este

rwal

dkre

isN

UT

S 3

(2)

IR64

.96

n.a.

n.a.

DEB

2Tr

ier

NU

TS 2

(2) I

R69

.17

2.2

8.2

DE

B21

Trie

r, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

77.9

5n.

a.n.

a.D

EB

22B

ernk

aste

l-Witt

lich

NU

TS

3(1

) PR

64.0

3n.

a.n.

a.D

EB

23B

itbur

g-P

rüm

NU

TS

3(1

) PR

61.9

2n.

a.n.

a.D

EB

24D

aun

NU

TS

3(1

) PR

64.1

6n.

a.n.

a.D

EB

25T

rier-

Saa

rbur

gN

UT

S 3

(2)

IR69

.84

n.a.

n.a.

DEB

3R

hein

hess

en-P

falz

NU

TS 2

(3) P

U64

.07

2.3

6.3

DE

B31

Fra

nken

thal

(P

falz

), K

reis

frei

e S

tadt

NU

TS

3(3

) PU

56.0

0n.

a.n.

a.D

EB

32K

aise

rsla

uter

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

70.7

8n.

a.n.

a.D

EB

33La

ndau

in d

er P

falz

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U82

.11

n.a.

n.a.

DE

B34

Ludw

igsh

afen

am

Rhe

in, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

34.4

9n.

a.n.

a.D

EB

35M

ainz

, Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U79

.37

n.a.

n.a.

DE

B36

Neu

stad

t an

der

Wei

nstr

aße,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U84

.37

n.a.

n.a.

DE

B37

Pirm

asen

s, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

69.1

2n.

a.n.

a.D

EB

38S

peye

r, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

69.7

9n.

a.n.

a.D

EB

39W

orm

s, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

66.2

3n.

a.n.

a.D

EB

3AZ

wei

brüc

ken,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U65

.56

n.a.

n.a.

DE

B3B

Alz

ey-W

orm

sN

UT

S 3

(2)

IR78

.20

n.a.

n.a.

DE

B3C

Bad

Dür

khei

mN

UT

S 3

(3) P

U70

.64

n.a.

n.a.

DE

B3D

Don

ners

berg

krei

sN

UT

S 3

(2)

IR59

.38

n.a.

n.a.

DE

B3E

Ger

mer

shei

mN

UT

S 3

(2)

IR44

.57

n.a.

n.a.

DE

B3F

Kai

sers

laut

ern,

Lan

dkre

isN

UT

S 3

(2)

IR75

.17

n.a.

n.a.

DE

B3G

Kus

elN

UT

S 3

(2)

IR67

.81

n.a.

n.a.

DE

B3H

Süd

liche

Wei

nstr

aße

NU

TS

3(2

) IR

67.8

7n.

a.n.

a.D

EB

3ILu

dwig

shaf

en, L

andk

reis

NU

TS

3(3

) PU

77.1

3n.

a.n.

a.D

EB

3JM

ainz

-Bin

gen

NU

TS

3(3

) PU

66.4

7n.

a.n.

a.D

EB

3KS

üdw

estp

falz

NU

TS

3(1

) PR

71.6

2n.

a.n.

a.T

2000

XT

Saa

rland

NU

TS

2(3

) PU

68.4

11.

64.

8T

2001

XT

Saa

rbrü

cken

, Sta

dtve

rban

dN

UT

S 3

(3) P

U78

.08

n.a.

n.a.

T20

02X

TM

erzi

g-W

ader

nN

UT

S 3

(3) P

U65

.84

n.a.

n.a.

T20

03X

TN

eunk

irche

nN

UT

S 3

(3) P

U69

.77

n.a.

n.a.

T20

04X

TS

aarlo

uis

NU

TS

3(3

) PU

57.5

9n.

a.n.

a.T

2005

XT

Saa

rpfa

lz-K

reis

NU

TS

3(3

) PU

57.0

9n.

a.n.

a.T

2006

XT

San

kt W

ende

lN

UT

S 3

(2)

IR66

.48

n.a.

n.a.

DED

1C

hem

nitz

NU

TS 2

(2) I

R67

.65

-4.8

5.9

DE

D11

Che

mni

tz, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

74.9

3n.

a.n.

a.D

ED

12P

laue

n, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

70.1

6n.

a.n.

a.D

ED

13Z

wic

kau,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U57

.83

n.a.

n.a.

DE

D14

Ann

aber

gN

UT

S 3

(2)

IR65

.99

n.a.

n.a.

DE

D15

Che

mni

tzer

Lan

dN

UT

S 3

(3) P

U68

.81

n.a.

n.a.

DE

D16

Fre

iber

gN

UT

S 3

(2)

IR63

.36

n.a.

n.a.

DE

D17

Vog

tland

krei

sN

UT

S 3

(2)

IR65

.25

n.a.

n.a.

DE

D18

Mitt

lere

r E

rzge

birg

skre

isN

UT

S 3

(2)

IR67

.46

n.a.

n.a.

DE

D19

Mitt

wei

daN

UT

S 3

(2)

IR64

.78

n.a.

n.a.

Obj

ectiv

e 33

- D

evel

opm

ent o

f Se

rvic

es S

ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

Sha

re o

f GV

A in

ser

vice

s (%

to

tal G

VA

)N

et m

igra

tion

crud

e ra

te%

of 2

5_64

y.o

. par

ticip

atin

g in

ed

ucat

ion

and

trai

ning

Eur

osta

tE

uros

tat

Eur

osta

tE

cono

mic

Acc

ount

sP

opul

atio

n st

atis

tics

Labo

ur F

orce

Sur

vey

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K%

rate

per

100

0%

DG

AG

RI -

G2

DG

AG

RI-

G2

DG

AG

RI-

G2

272

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

DE

D1A

Sto

llber

gN

UT

S 3

(3) P

U67

.50

n.a.

n.a.

DE

D1B

Aue

-Sch

war

zenb

erg

NU

TS

3(2

) IR

66.9

0n.

a.n.

a.D

ED

1CZ

wic

kaue

r La

ndN

UT

S 3

(3) P

U71

.88

n.a.

n.a.

DED

2D

resd

enN

UTS

2(2

) IR

70.0

9-2

.09.

3D

ED

21D

resd

en, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

74.2

0n.

a.n.

a.D

ED

22G

örlit

z, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

80.8

3n.

a.n.

a.D

ED

23H

oyer

swer

da, K

reis

frei

e S

tadt

NU

TS

3(3

) PU

71.5

6n.

a.n.

a.D

ED

24B

autz

enN

UT

S 3

(2)

IR69

.91

n.a.

n.a.

DE

D25

Mei

ssen

NU

TS

3(2

) IR

63.8

6n.

a.n.

a.D

ED

26N

iede

rsch

lesi

sche

r O

berla

usitz

krei

sN

UT

S 3

(1) P

R67

.93

n.a.

n.a.

DE

D27

Rie

sa-G

roß

enha

inN

UT

S 3

(2)

IR56

.51

n.a.

n.a.

DE

D28

Löba

u-Z

ittau

NU

TS

3(2

) IR

75.1

1n.

a.n.

a.D

ED

29S

ächs

isch

e S

chw

eiz

NU

TS

3(2

) IR

70.6

7n.

a.n.

a.D

ED

2AW

eiß

eritz

krei

sN

UT

S 3

(2)

IR66

.84

n.a.

n.a.

DE

D2B

Kam

enz

NU

TS

3(2

) IR

61.9

8n.

a.n.

a.D

ED3

Leip

zig

NU

TS 2

(2) I

R76

.51

1.6

9.4

DE

D31

Leip

zig,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U83

.94

n.a.

n.a.

DE

D32

Del

itzsc

hN

UT

S 3

(2)

IR64

.21

n.a.

n.a.

DE

D33

Döb

eln

NU

TS

3(2

) IR

66.5

7n.

a.n.

a.D

ED

34Le

ipzi

ger

Land

NU

TS

3(2

) IR

65.1

8n.

a.n.

a.D

ED

35M

ulde

ntal

krei

sN

UT

S 3

(2)

IR71

.63

n.a.

n.a.

DE

D36

Tor

gau-

Osc

hatz

NU

TS

3(1

) PR

68.3

0n.

a.n.

a.D

EE1

Des

sau

NU

TS 2

(2) I

R67

.66

-9.8

5.0

DE

E11

Des

sau,

Kre

isfr

eie

Sta

dtN

UT

S 3

(3) P

U78

.54

n.a.

n.a.

DE

E12

Anh

alt-

Zer

bst

NU

TS

3(2

) IR

63.7

4n.

a.n.

a.D

EE

13B

ernb

urg

NU

TS

3(2

) IR

60.4

9n.

a.n.

a.D

EE

14B

itter

feld

NU

TS

3(2

) IR

65.1

3n.

a.n.

a.D

EE

15K

öthe

nN

UT

S 3

(2)

IR70

.38

n.a.

n.a.

DE

E16

Witt

enbe

rgN

UT

S 3

(1) P

R65

.69

n.a.

n.a.

DEE

2H

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Life

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2003

2004

2002

for

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200

1 fo

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R, I

E, S

K, 1

999

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35 -

Life

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278

Indi

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NU

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79.8

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74.9

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77.2

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NU

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81.3

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ectiv

e 33

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evel

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34 -

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Mig

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35 -

Life

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ser

vice

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to

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et m

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of 2

5_64

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and

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Acc

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sP

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atio

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Labo

ur F

orce

Sur

vey

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K%

rate

per

100

0%

DG

AG

RI -

G2

DG

AG

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DG

AG

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G2

279

Indi

cato

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Mea

sure

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t

Cal

cula

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NU

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D /

G2

(Con

text

1)

ITG

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UT

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NU

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67.9

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57.9

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53.1

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NU

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NU

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UT

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NU

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51.1

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Sia

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NU

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58.6

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Tau

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NU

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55.7

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NU

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45.8

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NU

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NU

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NU

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82.6

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NU

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101

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102

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52.2

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50.6

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47.9

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58.9

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NU

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221

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NU

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50.4

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UT

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IR53

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HU

223

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R62

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3.6

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231

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NU

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65.9

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UT

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HU

233

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57.2

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58.1

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52.9

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32És

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61.1

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UT

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322

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57.2

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331

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332

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333

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UT

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67.9

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55.4

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53.8

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65.3

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64.4

9n.

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61.7

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NU

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73.6

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AG

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DG

AG

RI-

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DG

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%ra

te p

er 1

000

%

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K

Labo

ur F

orce

Sur

vey

Eco

nom

ic A

ccou

nts

Pop

ulat

ion

stat

istic

sE

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tat

Eur

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tE

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% o

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64 y

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in

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atio

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d tr

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(%

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ratio

n cr

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rate

Obj

ectiv

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f Se

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es S

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rO

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34 -

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Mig

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35 -

Life

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280

Indi

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Uni

t

Cal

cula

tion

NU

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cod

ela

bel

NU

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le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

NL1

32Z

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56.5

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NU

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71.5

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82.8

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66.2

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NU

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66.5

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54.3

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NU

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69.8

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NU

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69.3

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NU

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66.9

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NU

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NU

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64.4

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Mid

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NU

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65.7

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Wei

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NU

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65.1

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NU

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82.6

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NU

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82.6

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21K

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64.1

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NU

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69.4

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61.0

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56.6

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NU

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55.6

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411

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NU

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49.3

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AG

RI -

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DG

AG

RI-

G2

%ra

te p

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2002

2003

2004

2002

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200

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r F

R, I

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999

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Labo

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Sur

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Pop

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Obj

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Mig

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35 -

Life

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Mea

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text

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AT

312

Linz

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UT

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313

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UT

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R43

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315

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NU

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321

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UT

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322

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NU

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68.8

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NU

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NU

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NU

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59.3

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62.9

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NU

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62.3

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Cen

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58.3

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NU

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70.8

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NU

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66.2

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Legn

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NU

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52.5

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NU

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55.3

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Mia

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NU

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75.0

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52O

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NU

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NU

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NU

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63.5

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DG

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DG

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G2

DG

AG

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G2

%ra

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2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K

Labo

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Sur

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nom

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Pop

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ratio

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Obj

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35 -

Life

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Rur

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282

Indi

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Mea

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Uni

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Cal

cula

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NU

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cod

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bel

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le

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(Con

text

1)

PL6

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66.9

4n.

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62W

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NU

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PL6

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NU

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63.9

6n.

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Ols

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NU

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71.6

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Elc

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67.4

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44.

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Slu

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NU

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66.8

4n.

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L632

Gda

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NU

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58.0

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Gda

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Gdy

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UT

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Cáv

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55.7

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3A

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UT

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114

Gra

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UT

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U71

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115

Tâm

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NU

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52.3

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6E

ntre

Dou

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U43

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n.a.

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PT

117

Dou

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UT

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118

Alto

Trá

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NU

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67.9

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16C

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UTS

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59.5

77.

74.

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1B

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UT

S 3

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IR53

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n.a.

n.a.

PT

162

Bai

xo M

onde

goN

UT

S 3

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IR68

.01

n.a.

n.a.

PT

163

Pin

hal L

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lN

UT

S 3

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IR57

.12

n.a.

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ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

286

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

UK

M33

Eas

t Ayr

shire

and

Nor

th A

yrsh

ire M

ainl

and

NU

TS

3(2

) IR

63.8

1n.

a.n.

a.U

KM

34G

lasg

ow C

ityN

UT

S 3

(3) P

U81

.79

n.a.

n.a.

UK

M35

Inve

rcly

de, E

ast R

enfr

ewsh

ire a

nd R

enfr

ewsh

ireN

UT

S 3

(3) P

U65

.70

n.a.

n.a.

UK

M36

Nor

th L

anar

kshi

reN

UT

S 3

(3) P

U71

.27

n.a.

n.a.

UK

M37

Sou

th A

yrsh

ireN

UT

S 3

(2)

IR66

.63

n.a.

n.a.

UK

M38

Sou

th L

anar

kshi

reN

UT

S 3

(2)

IR59

.87

n.a.

n.a.

UK

M4

Hig

hlan

ds a

nd Is

land

sN

UTS

2(1

) PR

68.0

1-2

.619

9922

.1U

KM

41C

aith

ness

and

Sut

herla

nd, R

oss

and

Cro

mar

tyN

UT

S 3

(1) P

R64

.50

n.a.

n.a.

UK

M42

Inve

rnes

s an

d N

airn

, Mor

ay, B

aden

och

and

Str

aths

pey

NU

TS

3(1

) PR

70.1

4n.

a.n.

a.U

KM

43Lo

chab

er, S

kye

and

Loch

alsh

, Arg

yll a

nd T

he Is

land

sN

UT

S 3

(1) P

R70

.12

n.a.

n.a.

UK

M44

Com

hairl

e N

an E

ilan

(Wes

tern

Isle

s)N

UT

S 3

(1) P

R76

.12

n.a.

n.a.

UK

M45

Ork

ney

Isla

nds

NU

TS

3(1

) PR

64.2

2n.

a.n.

a.U

KM

46S

hetla

nd Is

land

sN

UT

S 3

(1) P

R54

.97

n.a.

n.a.

UK

N0

Nor

ther

n Ire

land

NU

TS 2

(2) I

R69

.68

-0.8

1999

14.5

UK

N01

Bel

fast

NU

TS

3(3

) PU

84.1

9n.

a.n.

a.U

KN

02O

uter

Bel

fast

NU

TS

3(3

) PU

69.4

4n.

a.n.

a.U

KN

03E

ast o

f Nor

ther

n Ir

elan

dN

UT

S 3

(2)

IR58

.83

n.a.

n.a.

UK

N04

Nor

th o

f Nor

ther

n Ir

elan

dN

UT

S 3

(2)

IR65

.85

n.a.

n.a.

UK

N05

Wes

t and

Sou

th o

f Nor

ther

n Ir

elan

dN

UT

S 3

(1) P

R62

.76

n.a.

n.a.

BG

11Se

vero

zapa

den

NU

TS 2

(1) P

R48

.44

-6.5

n.a.

uB

G11

1V

idin

NU

TS

3(2

) IR

63.5

4n.

a.n.

a.B

G11

2M

onta

naN

UT

S 3

(1) P

R57

.21

n.a.

n.a.

BG

113

Vra

tsa

NU

TS

3(1

) PR

38.2

7n.

a.n.

a.B

G12

Seve

ren

tsen

tral

enN

UTS

2(1

) PR

51.6

7-3

.80.

9u

BG

121

Ple

ven

NU

TS

3(1

) PR

52.3

2n.

a.n.

a.B

G12

2Lo

vech

NU

TS

3(1

) PR

52.6

2n.

a.n.

a.B

G12

3V

elik

o T

arno

voN

UT

S 3

(1) P

R51

.87

n.a.

n.a.

BG

124

Gab

rovo

NU

TS

3(1

) PR

45.4

3n.

a.n.

a.B

G12

5R

use

NU

TS

3(2

) IR

54.0

6n.

a.n.

a.B

G13

Seve

roiz

toch

enN

UTS

2(1

) PR

58.9

6-2

.11.

1B

G13

1V

arna

NU

TS

3(2

) IR

65.4

6n.

a.n.

a.B

G13

2D

obric

hN

UT

S 3

(1) P

R60

.95

n.a.

n.a.

BG

133

Shu

men

NU

TS

3(2

) IR

55.5

5n.

a.n.

a.B

G13

4T

argo

vish

teN

UT

S 3

(1) P

R51

.59

n.a.

n.a.

BG

135

Raz

grad

NU

TS

3(1

) PR

48.1

8n.

a.n.

a.B

G13

6S

ilist

raN

UT

S 3

(1) P

R48

.69

n.a.

n.a.

BG

21Yu

goza

pade

nN

UTS

2(2

) IR

66.2

77.

72.

3B

G21

1S

ofia

(st

olits

a)N

UT

S 3

(3) P

U71

.32

n.a.

n.a.

BG

212

Sof

iaN

UT

S 3

(1) P

R50

.55

n.a.

n.a.

BG

213

Bla

goev

grad

NU

TS

3(1

) PR

51.1

2n.

a.n.

a.B

G21

4P

erni

kN

UT

S 3

(2)

IR50

.13

n.a.

n.a.

BG

215

Kyu

sten

dil

NU

TS

3(1

) PR

51.5

9n.

a.n.

a.B

G22

Yuzh

en ts

entr

alen

NU

TS 2

(1) P

R52

.44

-1.5

0.7

BG

221

Plo

vdiv

NU

TS

3(2

) IR

56.7

8n.

a.n.

a.B

G22

2S

tara

Zag

ora

NU

TS

3(1

) PR

39.1

4n.

a.n.

a.B

G22

3H

asko

voN

UT

S 3

(1) P

R56

.66

n.a.

n.a.

BG

224

Paz

ardz

hik

NU

TS

3(1

) PR

57.4

9n.

a.n.

a.B

G22

5S

mol

yan

NU

TS

3(1

) PR

56.5

7n.

a.n.

a.B

G22

6K

ardz

hali

NU

TS

3(1

) PR

58.1

7n.

a.n.

a.B

G23

Yugo

izto

chen

NU

TS 2

(1) P

R57

.88

-3.5

1.1

uB

G23

1B

urga

sN

UT

S 3

(1) P

R61

.13

n.a.

n.a.

BG

232

Sliv

enN

UT

S 3

(1) P

R54

.25

n.a.

n.a.

BG

233

Yam

bol

NU

TS

3(2

) IR

51.7

7n.

a.n.

a.R

O01

Nor

d-Es

tN

UTS

2(1

) PR

44.7

3-0

.91.

3R

O01

1B

acau

NU

TS

3(2

) IR

44.0

5n.

a.n.

a.R

O01

2B

otos

ani

NU

TS

3(1

) PR

40.8

0n.

a.n.

a.R

O01

3Ia

siN

UT

S 3

(2)

IR49

.88

n.a.

n.a.

RO

014

Nea

mt

NU

TS

3(2

) IR

42.2

3n.

a.n.

a.R

O01

5S

ucea

vaN

UT

S 3

(1) P

R44

.49

n.a.

n.a.

RO

016

Vas

lui

NU

TS

3(1

) PR

41.2

4n.

a.n.

a.R

O02

Sud-

Est

NU

TS 2

(2) I

R44

.43

-0.9

1.4

RO

021

Bra

ilaN

UT

S 3

(2)

IR40

.34

n.a.

n.a.

RO

022

Buz

auN

UT

S 3

(1) P

R49

.72

n.a.

n.a.

RO

023

Con

stan

taN

UT

S 3

(2)

IR47

.44

n.a.

n.a.

RO

024

Gal

ati

NU

TS

3(2

) IR

39.7

1n.

a.n.

a.R

O02

5T

ulce

aN

UT

S 3

(1) P

R40

.91

n.a.

n.a.

RO

026

Vra

ncea

NU

TS

3(1

) PR

44.2

2n.

a.n.

a.R

O03

Sud

NU

TS 2

(1) P

R43

.54

-1.2

1.1

RO

031

Arg

esN

UT

S 3

(2)

IR37

.84

n.a.

n.a.

DG

AG

RI -

G2

DG

AG

RI-

G2

DG

AG

RI-

G2

%ra

te p

er 1

000

%

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for U

K

Labo

ur F

orce

Sur

vey

Eco

nom

ic A

ccou

nts

Pop

ulat

ion

stat

istic

sE

uros

tat

Eur

osta

tE

uros

tat

% o

f 25_

64 y

.o. p

artic

ipat

ing

in

educ

atio

n an

d tr

aini

ngS

hare

of G

VA

in s

ervi

ces

(%

tota

l GV

A)

Net

mig

ratio

n cr

ude

rate

Obj

ectiv

e 33

- D

evel

opm

ent o

f Se

rvic

es S

ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

287

Indi

cato

r

Mea

sure

men

tS

ourc

e

Yea

r

Uni

t

Cal

cula

tion

NU

TS

cod

ela

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)

RO

032

Cal

aras

iN

UT

S 3

(1)

PR

39.4

6n.

a.n.

a.R

O03

3D

âmbo

vita

NU

TS

3(2

) IR

47.1

6n.

a.n.

a.R

O03

4G

iurg

iuN

UT

S 3

(1)

PR

47.9

9n.

a.n.

a.R

O03

5Ia

lom

itaN

UT

S 3

(1)

PR

45.9

9n.

a.n.

a.R

O03

6P

raho

vaN

UT

S 3

(2)

IR44

.78

n.a.

n.a.

RO

037

Tel

eorm

anN

UT

S 3

(1)

PR

46.1

8n.

a.n.

a.R

O04

Sud-

Vest

NU

TS 2

(1) P

R43

.16

-0.5

1.1

RO

041

Dol

jN

UT

S 3

(1)

PR

49.4

2n.

a.n.

a.R

O04

2G

orj

NU

TS

3(1

) P

R33

.73

n.a.

n.a.

RO

043

Meh

edin

tiN

UT

S 3

(1)

PR

44.3

3n.

a.n.

a.R

O04

4O

ltN

UT

S 3

(1)

PR

42.9

9n.

a.n.

a.R

O04

5V

âlce

aN

UT

S 3

(1)

PR

46.5

3n.

a.n.

a.R

O05

Vest

NU

TS 2

(2) I

R48

.79

-0.4

1.2

RO

051

Ara

dN

UT

S 3

(1)

PR

50.6

5n.

a.n.

a.R

O05

2C

aras

-Sev

erin

NU

TS

3(1

) P

R55

.64

n.a.

n.a.

RO

053

Hun

edoa

raN

UT

S 3

(2)

IR44

.17

n.a.

n.a.

RO

054

Tim

isN

UT

S 3

(2)

IR48

.04

n.a.

n.a.

RO

06N

ord-

Vest

NU

TS 2

(1) P

R49

.31

-0.2

1.4

RO

061

Bih

orN

UT

S 3

(1)

PR

49.7

5n.

a.n.

a.R

O06

2B

istr

ita-N

asau

dN

UT

S 3

(1)

PR

48.3

0n.

a.n.

a.R

O06

3C

luj

NU

TS

3(2

) IR

51.7

2n.

a.n.

a.R

O06

4M

aram

ures

NU

TS

3(1

) P

R49

.13

n.a.

n.a.

RO

065

Sat

u M

are

NU

TS

3(1

) P

R44

.95

n.a.

n.a.

RO

066

Sal

ajN

UT

S 3

(1)

PR

46.0

3n.

a.n.

a.R

O07

Cen

tru

NU

TS 2

(2) I

R42

.75

-0.8

1.4

RO

071

Alb

aN

UT

S 3

(1)

PR

41.4

7n.

a.n.

a.R

O07

2B

raso

vN

UT

S 3

(2)

IR46

.24

n.a.

n.a.

RO

073

Cov

asna

NU

TS

3(1

) P

R38

.60

n.a.

n.a.

RO

074

Har

ghita

NU

TS

3(1

) P

R45

.74

n.a.

n.a.

RO

075

Mur

esN

UT

S 3

(2)

IR42

.59

n.a.

n.a.

RO

076

Sib

iuN

UT

S 3

(2)

IR38

.87

n.a.

n.a.

RO

08B

ucur

esti

NU

TS 2

(3) P

U67

.90

3.2

2.2

RO

081

Buc

ures

ti (c

apita

l)N

UT

S 3

(3)

PU

69.3

5n.

a.n.

a.R

O08

2Ilf

ovN

UT

S 3

(2)

IR54

.08

n.a.

n.a.

DG

AG

RI -

G2

DG

AG

RI-G

2D

G A

GR

I-G

2

%ra

te p

er 1

000

%

2002

2003

2004

2002

for

EL,

200

1 fo

r F

R, I

E, S

K, 1

999

for

UK

Labo

ur F

orce

Sur

vey

Eco

nom

ic A

ccou

nts

Pop

ulat

ion

stat

istic

sE

uros

tat

Eur

osta

tE

uros

tat

% o

f 25_

64 y

.o. p

artic

ipat

ing

in

educ

atio

n an

d tr

aini

ngS

hare

of G

VA

in s

ervi

ces

(%

tota

l GV

A)

Net

mig

ratio

n cr

ude

rate

Obj

ectiv

e 33

- D

evel

opm

ent o

f Se

rvic

es S

ecto

rO

bjec

tive

34 -

Net

Mig

ratio

nO

bjec

tive

35 -

Life

-Lon

g Le

arni

ng in

Rur

al A

reas

288

289

ANNEX 3.D.b

OBJECTIVE-RELATED BASELINE INDICATORS DATA AT FSS REGION & DISTRICT LEVELS

290

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)B

E1_2

Vlaa

ms

gew

est e

n B

russ

elN

UTS

1(3

)PU

42.1

0.19

n.a.

--

BE

21A

ntw

erpe

nN

UT

S2

(3)

PU

41.9

0.22

n.a.

--

BE

22Li

mbu

rg (B

)N

UT

S2

(3)

PU

32.5

0.17

n.a.

--

BE

23O

ost-

Vla

ande

ren

NU

TS

2(3

) P

U40

.80.

15n.

a.-

-B

E24

_1V

laam

s B

raba

nt, B

russ

els

NU

TS

2(3

)PU

30.7

0.11

n.a.

--

BE

25W

est-

Vla

ande

ren

NU

TS

2(3

) P

U52

.50.

27n.

a.-

-B

E3R

égio

n W

allo

nne

NU

TS1

(2)IR

41.4

0.23

n.a.

--

BE

31B

raba

nt W

allo

nN

UT

S2

(3)

PU

43.7

0.14

n.a.

--

BE

32H

aina

utN

UT

S2

(3)

PU

50.2

0.26

n.a.

--

BE

33Li

ège

NU

TS

2(2

) IR

38.5

0.22

n.a.

--

BE

34Lu

xem

bour

g (B

)N

UT

S2

(1)

PR

30.7

0.23

n.a.

--

BE

35N

amur

NU

TS

2(2

) IR

41.6

0.26

n.a.

--

CZ0

1Pr

aha

NU

TS2

(3) P

Un.

a.0.

08n.

a.20

02/2

003

n.s.

16.2

CZ

010

Pra

haN

UT

S3

(3)

PU

n.a.

0.08

n.a.

n.s.

16.2

CZ0

2St

redn

i Cec

hyN

UTS

2(2

) IR

n.a.

0.23

7.7

2002

/200

31

420

27.8

CZ

020

Str

edoc

esky

NU

TS

3(2

) IR

n.a.

0.23

n.a.

1 42

027

.8C

Z03

Jiho

zapa

dN

UTS

2(2

) IR

n.a.

0.23

5.9

2002

/200

32

400

34.0

CZ

031

Jiho

cesk

yN

UT

S3

(2)

IRn.

a.0.

24n.

a.1

830

37.7

CZ

032

Plz

ensk

yN

UT

S3

(2)

IRn.

a.0.

21n.

a.57

025

.8C

Z04

Seve

roza

pad

NU

TS2

(2) I

Rn.

a.0.

325.

420

02/2

003

840

31.1

CZ

041

Kar

lova

rsky

NU

TS

3(2

) IR

n.a.

0.45

n.a.

180

35.8

CZ

042

Ust

ecky

NU

TS

3(2

) IR

n.a.

0.29

n.a.

660

30.1

CZ0

5Se

vero

vych

odN

UTS

2(2

) IR

n.a.

0.23

5.9

2002

/200

33

330

44.8

CZ

051

Libe

reck

yN

UT

S3

(2)

IRn.

a.0.

19n.

a.1

020

50.3

CZ

052

Kra

love

hrad

ecky

NU

TS

3(2

) IR

n.a.

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29.3

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51.4

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2003

2003

2003

Far

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Sur

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Far

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Sur

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Far

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Sur

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Far

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Sur

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Acc

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r A

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Num

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Obj

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Obj

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Prod

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Obj

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Indi

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Mea

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Obj

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Obj

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N

MS

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2000

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251

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11.4

2000

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022

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23.6

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431

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NU

TS

3(2

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2.6

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11G

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UTS

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7.0

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2000

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0-

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Cor

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NU

TS

3(2

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7.5

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ES

112

Lugo

NU

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ES

114

Pon

teve

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TS

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5.2

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Prin

cipa

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e As

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UTS

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7.2

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2000

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0-

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S12

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Ast

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UT

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13C

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130

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21Pa

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TS2

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0410

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00/2

000

--

ES

211

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UT

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S21

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UT

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PU

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NU

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ES

220

Com

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de

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9.4

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ES23

La R

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NU

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10.

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--

ES

230

La R

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NU

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6.1

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n.a.

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Arag

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9.6

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23.4

2000

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0-

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UT

S3

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PR

14.4

n.s.

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ES

242

Ter

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TS

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S24

3Z

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8.9

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ES30

Com

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1026

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000

--

ES

300

Com

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41C

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UTS

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7.7

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23.0

2000

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0-

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S41

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vila

NU

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Obj

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Obj

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Far

min

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N

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% fa

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f far

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vey

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r A

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arm

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y

2000

2003

2003

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320

0320

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%%

1000

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num

ber

of fa

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%

DG

AG

RI -

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ES

416

Seg

ovia

NU

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3(1

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7S

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NU

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3(1

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5n.

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S41

8V

alla

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NU

TS

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14.8

n.s.

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ES

419

Zam

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3.4

0.10

21.4

2000

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0-

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3(1

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UT

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PR

3.9

n.s.

n.a.

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ES

424

Gua

dala

jara

NU

TS

3(2

) IR

5.3

n.s.

n.a.

--

ES

425

Tol

edo

NU

TS

3(1

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R2.

6n.

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a.-

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43Ex

trem

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UTS

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6.3

0.09

15.0

2000

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0-

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S43

1B

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UT

S3

(1)

PR

6.7

n.s.

n.a.

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ES

432

Các

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NU

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atal

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1225

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00/2

000

--

ES

511

Bar

celo

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UT

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13.8

n.s.

n.a.

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ES

512

Ger

ona

NU

TS

3(2

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13.2

n.s.

n.a.

--

ES

513

Lérid

aN

UT

S3

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PR

18.0

n.s.

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ES

514

Tar

rago

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521

Alic

ante

NU

TS

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ES

522

Cas

telló

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NU

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ES

523

Val

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UT

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PU

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ES53

Bal

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UTS

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3.9

0.04

17.4

2000

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0-

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S53

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21.2

2000

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ES

613

Cór

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PR

2.5

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n.a.

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ES

617

Mál

aga

NU

TS

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2.1

n.s.

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--

ES

618

Sev

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NU

TS

3(2

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5.2

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ES62

Mur

cia

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50.

1519

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00/2

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ES

620

Mur

cia

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4.5

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ES

630

Ceu

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640

Mel

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30.

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701

Las

Pal

mas

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702

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ta C

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5.7

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101

Par

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102

Sei

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103

Yve

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105

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211

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213

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221

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55.8

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223

Som

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Obj

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Obj

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Obj

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y

2000

2003

2003

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320

0320

03

%%

1000

Eur

o / A

WU

num

ber

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rms

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AG

RI -

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231

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243

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244

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UT

S3

(1)

PR

60.9

0.26

n.a.

--

FR

246

Loire

tN

UT

S3

(2)

IR57

.60.

29n.

a.-

-FR

25B

asse

-Nor

man

die

NU

TS2

(2) I

R34

.00.

2129

.3p

--

FR

251

Cal

vado

sN

UT

S3

(2)

IR38

.90.

20n.

a.-

-F

R25

2M

anch

eN

UT

S3

(1)

PR

32.8

0.19

n.a.

--

FR

253

Orn

eN

UT

S3

(1)

PR

43.5

0.24

n.a.

--

FR26

Bou

rgog

neN

UTS

2(2

) IR

51.1

0.31

37.3

p-

-F

R26

1C

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d'O

rN

UT

S3

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IR52

.30.

29n.

a.-

-F

R26

2N

ièvr

eN

UT

S3

(1)

PR

61.0

0.36

n.a.

--

FR

263

Saô

ne-e

t-Lo

ireN

UT

S3

(2)

IR51

.00.

33n.

a.-

-F

R26

4Y

onne

NU

TS

3(1

) P

R54

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26n.

a.-

-FR

30N

ord

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-de-

Cal

ais

NU

TS2

(3) P

U58

.80.

4455

.8p

--

FR

301

Nor

dN

UT

S3

(3)

PU

61.8

0.39

n.a.

--

FR

302

Pas

-de-

Cal

ais

NU

TS

3(2

) IR

60.7

0.48

n.a.

--

FR41

Lorr

aine

NU

TS2

(2) I

R40

.70.

3334

.0p

--

FR

411

Meu

rthe-

et-M

osel

leN

UT

S3

(2)

IR54

.50.

36n.

a.-

-F

R41

2M

euse

NU

TS

3(1

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R53

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39n.

a.-

-F

R41

3M

osel

leN

UT

S3

(2)

IR38

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39n.

a.-

-F

R41

4V

osge

sN

UT

S3

(1)

PR

42.0

0.20

n.a.

--

FR42

Alsa

ceN

UTS

2(2

) IR

31.1

0.27

37.0

p-

-F

R42

1B

as-R

hin

NU

TS

3(2

) IR

33.9

0.29

n.a.

--

FR

422

Hau

t-Rhi

nN

UT

S3

(2)

IR31

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25n.

a.-

-FR

43Fr

anch

e-C

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NU

TS2

(2) I

R44

.80.

4228

.0p

--

FR

431

Dou

bsN

UT

S3

(2)

IR60

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60n.

a.-

-F

R43

2Ju

raN

UT

S3

(1)

PR

46.6

0.33

n.a.

--

FR

433

Hau

te-S

aône

NU

TS

3(1

) P

R45

.40.

43n.

a.-

-F

R43

4T

errit

oire

de

Bel

fort

NU

TS

3(2

) IR

29.0

0.17

n.a.

--

FR51

Pays

de

la L

oire

NU

TS2

(2) I

R51

.40.

3535

.0p

--

FR

511

Loire

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ntiq

ueN

UT

S3

(2)

IR52

.90.

34n.

a.-

-F

R51

2M

aine

-et-

Loire

NU

TS

3(2

) IR

56.7

0.39

n.a.

--

FR

513

May

enne

NU

TS

3(1

) P

R48

.90.

27n.

a.-

-F

R51

4S

arth

eN

UT

S3

(2)

IR53

.60.

28n.

a.-

-F

R51

5V

endé

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UT

S3

(1)

PR

62.6

0.50

n.a.

--

FR52

Bre

tagn

eN

UTS

2(2

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51.6

0.38

32.9

p-

-F

R52

1C

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rmor

NU

TS

3(1

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R53

.60.

37n.

a.-

-F

R52

2F

inis

tère

NU

TS

3(2

) IR

60.3

0.42

n.a.

--

FR

523

Ille-

et-V

ilain

eN

UT

S3

(2)

IR54

.00.

36n.

a.-

-F

R52

4M

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han

NU

TS

3(1

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R52

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38n.

a.-

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53Po

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rent

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UTS

2(1

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47.0

0.22

34.0

p-

-F

R53

1C

hare

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NU

TS

3(1

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R43

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17n.

a.-

-F

R53

2C

hare

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Mar

itim

eN

UT

S3

(2)

IR49

.80.

25n.

a.-

-F

R53

3D

eux-

Sèv

res

NU

TS

3(1

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R56

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25n.

a.-

-F

R53

4V

ienn

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UT

S3

(1)

PR

48.2

0.21

n.a.

--

FR61

Aqui

tain

eN

UTS

2(2

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42.1

0.18

30.1

p-

-F

R61

1D

ordo

gne

NU

TS

3(1

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R39

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17n.

a.-

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R61

2G

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UT

S3

(2)

IR37

.40.

14n.

a.-

-F

R61

3La

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NU

TS

3(1

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R49

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14n.

a.-

-F

R61

4Lo

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Gar

onne

NU

TS

3(1

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R48

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15n.

a.-

-F

R61

5P

yrén

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Atla

ntiq

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NU

TS

3(2

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46.2

0.27

n.a.

--

FR62

Mid

i-Pyr

énée

sN

UTS

2(2

) IR

41.6

0.27

20.7

p-

-F

R62

1A

riège

NU

TS

3(1

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R37

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22n.

a.-

-F

R62

2A

veyr

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UT

S3

(1)

PR

56.7

0.54

n.a.

--

FR

623

Hau

te-G

aron

neN

UT

S3

(2)

IR35

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15n.

a.-

-F

R62

4G

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NU

TS

3(1

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R51

.00.

27n.

a.-

-F

R62

5Lo

tN

UT

S3

(1)

PR

40.9

0.22

n.a.

--

FR

626

Hau

tes-

Pyr

énée

sN

UT

S3

(2)

IR27

.10.

26n.

a.-

-F

R62

7T

arn

NU

TS

3(2

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46.9

0.33

n.a.

--

Obj

ectiv

e 4

- Tra

inin

g an

d Ed

ucat

ion

in

Agric

ultu

re

Obj

ectiv

e 5

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St

ruct

ure

in

Agric

ultu

re

Obj

ectiv

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- Lab

our

Prod

uctiv

ity in

Agr

icul

ture

Obj

ectiv

e 16

- Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

(Obj

ectiv

e 16

) - Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

% fa

rmer

s w

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asic

and

fu

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atta

ined

ratio

: far

mer

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5 / >

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yea

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ldG

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UN

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r of f

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1 E

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% o

f far

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ES

U

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tE

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Eur

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t

Far

m S

truc

ture

Sur

vey

Far

m S

truc

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Sur

vey

Far

m S

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Sur

vey

/ Eco

nom

ic

Acc

ount

s fo

r A

gric

ultu

reF

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Str

uctu

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urve

yF

arm

Str

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re S

urve

y

2000

2003

2003

/200

320

0320

03

%%

1000

Eur

o / A

WU

num

ber

of fa

rms

%

DG

AG

RI -

G2

DG

AG

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G2

295

Indi

cato

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Mea

sure

men

t

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Cal

cula

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FS

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NU

TS

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vel

FLA

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(Con

text

1)F

R62

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et-G

aron

neN

UT

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PR

46.3

0.20

n.a.

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FR63

Lim

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nN

UTS

2(1

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42.2

0.31

20.4

p-

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R63

1C

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UT

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PR

42.2

0.24

n.a.

--

FR

632

Cre

use

NU

TS

3(1

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R52

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43n.

a.-

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R63

3H

aute

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nne

NU

TS

3(2

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41.6

0.27

n.a.

--

FR71

Rhô

ne-A

lpes

NU

TS2

(2) I

R38

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2521

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--

FR

711

Ain

NU

TS

3(2

) IR

42.8

0.25

n.a.

--

FR

712

Ard

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NU

TS

3(1

) P

R35

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23n.

a.-

-F

R71

3D

rôm

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UT

S3

(2)

IR39

.80.

16n.

a.-

-F

R71

4Is

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NU

TS

3(2

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38.8

0.25

n.a.

--

FR

715

Loire

NU

TS

3(2

) IR

46.5

0.32

n.a.

--

FR

716

Rhô

neN

UT

S3

(3)

PU

53.1

0.35

n.a.

--

FR

717

Sav

oie

NU

TS

3(2

) IR

29.5

0.21

n.a.

--

FR

718

Hau

te-S

avoi

eN

UT

S3

(2)

IR27

.70.

24n.

a.-

-FR

72Au

verg

neN

UTS

2(2

) IR

48.1

0.42

19.5

p-

-F

R72

1A

llier

NU

TS

3(2

) IR

51.1

0.43

n.a.

--

FR

722

Can

tal

NU

TS

3(1

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R56

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51n.

a.-

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R72

3H

aute

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reN

UT

S3

(1)

PR

51.4

0.43

n.a.

--

FR

724

Puy

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Dôm

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UT

S3

(2)

IR47

.10.

36n.

a.-

-FR

81La

ngue

doc-

Rou

ssill

onN

UTS

2(2

) IR

28.4

0.18

n.a.

p-

-F

R81

1A

ude

NU

TS

3(2

) IR

34.3

0.22

n.a.

--

FR

812

Gar

dN

UT

S3

(2)

IR30

.90.

17n.

a.-

-F

R81

3H

érau

ltN

UT

S3

(2)

IR21

.40.

13n.

a.-

-F

R81

4Lo

zère

NU

TS

3(1

) P

R55

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92n.

a.-

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R81

5P

yrén

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Orie

ntal

esN

UT

S3

(2)

IR28

.40.

15n.

a.-

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82Pr

oven

ce-A

lpes

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Azur

NU

TS2

(2) I

R26

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17n.

a.p

--

FR

821

Alp

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venc

eN

UT

S3

(1)

PR

33.2

0.19

n.a.

--

FR

822

Hau

tes-

Alp

esN

UT

S3

(1)

PR

36.2

0.53

n.a.

--

FR

823

Alp

es-M

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NU

TS

3(3

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U16

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09n.

a.-

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R82

4B

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NU

TS

3(3

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U26

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12n.

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R82

5V

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UT

S3

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IR19

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13n.

a.-

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R82

6V

aucl

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NU

TS

3(2

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35.5

0.22

n.a.

--

FR83

Cor

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UTS

2(1

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24.6

0.30

n.a.

p-

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R83

1C

orse

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Sud

NU

TS

3(2

) IR

20.3

0.25

n.a.

--

FR

832

Hau

te-C

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NU

TS

3(1

) P

R27

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35n.

a.-

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9D

épar

tem

ents

d'O

utre

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(D.O

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NU

TS1

(3) P

Un.

a.0.

3418

.7p

--

FR

910

Gua

delo

upe

NU

TS

3(2

) IR

n.a.

0.23

n.a.

--

FR

920

Mar

tiniq

ueN

UT

S3

(3)

PU

n.a.

0.17

n.a.

--

FR

930

Guy

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NU

TS

3(1

) P

Rn.

a.0.

42n.

a.-

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R94

0R

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onN

UT

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PU

n.a.

0.85

n.a.

--

IE01

Bor

der,

Mid

land

s an

d W

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rnN

UTS

2(1

) PR

19.3

0.23

13.3

2000

/200

0-

-IE

011

Bor

der

NU

TS

3(1

) P

R17

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27n.

a.-

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012

Mid

land

(IE

)N

UT

S3

(1)

PR

28.6

0.29

n.a.

--

IE01

3W

est (

IE)

NU

TS

3(1

) P

R17

.40.

17n.

a.-

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02So

uthe

rn a

nd E

aste

rnN

UTS

2(2

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30.6

0.31

21.2

2000

/200

0-

-IE

021_

22D

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& M

id-E

ast (

IE)

NU

TS

3(2

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27n.

a.-

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023

Mid

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t (IE

)N

UT

S3

(1)

PR

26.6

0.28

n.a.

--

IE02

4S

outh

-Eas

t (IE

)N

UT

S3

(1)

PR

35.6

0.35

n.a.

--

IE02

5S

outh

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t (IE

)N

UT

S3

(1)

PR

29.4

0.33

n.a.

--

ITC

1Pi

emon

teN

UTS

2(2

) IR

9.5

0.10

20.4

2000

/200

0-

-IT

C11

Tor

ino

NU

TS

3(3

) P

U11

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14n.

a.-

-IT

C12

Ver

celli

NU

TS

3(2

) IR

17.8

0.22

n.a.

--

ITC

13B

iella

NU

TS

3(2

) IR

7.7

0.39

n.a.

--

ITC

14V

erba

no-C

usio

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ola

NU

TS

3(2

) IR

11.8

0.18

n.a.

--

ITC

15N

ovar

aN

UT

S3

(3)

PU

17.4

0.18

n.a.

--

ITC

16C

uneo

NU

TS

3(2

) IR

8.9

0.13

n.a.

--

ITC

17A

sti

NU

TS

3(2

) IR

6.2

0.04

n.a.

--

ITC

18A

less

andr

iaN

UT

S3

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IR8.

80.

03n.

a.-

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C2

Valle

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lée

d'Ao

ste

NU

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R14

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920

00/2

000

--

ITC

20V

alle

d'A

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lée

d'A

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NU

TS

3(1

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R14

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08n.

a.-

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C3

Ligu

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UTS

2(3

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7.9

0.08

23.8

2000

/200

0-

-IT

C31

Impe

riaN

UT

S3

(3)

PU

8.8

0.16

n.a.

--

ITC

32S

avon

aN

UT

S3

(2)

IR7.

20.

14n.

a.-

-IT

C33

Gen

ova

NU

TS

3(3

) P

U8.

00.

03n.

a.-

-IT

C34

La S

pezi

aN

UT

S3

(3)

PU

7.4

0.01

n.a.

--

Obj

ectiv

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- Tra

inin

g an

d Ed

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ion

in

Agric

ultu

re

Obj

ectiv

e 5

- Age

St

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in

Agric

ultu

re

Obj

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- Lab

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Prod

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ity in

Agr

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Obj

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e 16

- Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

(Obj

ectiv

e 16

) - Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

% fa

rmer

s w

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asic

and

fu

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atta

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ratio

: far

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5 / >

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UN

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f far

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< 1

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Eur

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t

Far

m S

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Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

/ Eco

nom

ic

Acc

ount

s fo

r A

gric

ultu

reF

arm

Str

uctu

re S

urve

yF

arm

Str

uctu

re S

urve

y

2000

2003

2003

/200

320

0320

03

%%

1000

Eur

o / A

WU

num

ber

of fa

rms

%

DG

AG

RI -

G2

DG

AG

RI -

G2

296

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)IT

C4

Lom

bard

iaN

UTS

2(3

) PU

16.5

0.13

41.1

2000

/200

0-

-IT

C41

Var

ese

NU

TS

3(3

) P

U26

.70.

15n.

a.-

-IT

C42

Com

oN

UT

S3

(3)

PU

21.6

0.33

n.a.

--

ITC

43Le

cco

NU

TS

3(3

) P

U20

.30.

11n.

a.-

-IT

C44

Son

drio

NU

TS

3(1

) P

R7.

50.

09n.

a.-

-IT

C45

Mila

noN

UT

S3

(3)

PU

22.5

0.10

n.a.

--

ITC

46B

erga

mo

NU

TS

3(3

) P

U10

.30.

14n.

a.-

-IT

C47

Bre

scia

NU

TS

3(3

) P

U15

.00.

11n.

a.-

-IT

C48

Pav

iaN

UT

S3

(2)

IR14

.10.

22n.

a.-

-IT

C49

Lodi

NU

TS

3(2

) IR

25.1

0.10

n.a.

--

ITC

4AC

rem

ona

NU

TS

3(2

) IR

27.2

0.12

n.a.

--

ITC

4BM

anto

vaN

UT

S3

(2)

IR20

.10.

08n.

a.-

-IT

D1

Prov

inci

a Au

tono

ma

Bol

zano

/Boz

enN

UTS

2(2

) IR

26.9

0.20

n.a.

2000

/200

0-

-IT

D10

Bol

zano

-Boz

enN

UT

S3

(2)

IR26

.90.

20n.

a.-

-IT

D2

Prov

inci

a Au

tono

ma

Tren

toN

UTS

2(2

) IR

13.6

0.09

n.a.

2000

/200

0-

-IT

D20

Tre

nto

NU

TS

3(2

) IR

13.6

0.09

n.a.

--

ITD

3Ve

neto

NU

TS2

(3) P

U12

.40.

0625

.020

00/2

000

--

ITD

31V

eron

aN

UT

S3

(3)

PU

18.9

0.13

n.a.

--

ITD

32V

icen

zaN

UT

S3

(3)

PU

10.7

0.03

n.a.

--

ITD

33B

ellu

noN

UT

S3

(1)

PR

9.0

0.05

n.a.

--

ITD

34T

revi

soN

UT

S3

(3)

PU

10.3

0.07

n.a.

--

ITD

35V

enez

iaN

UT

S3

(3)

PU

14.6

0.05

n.a.

--

ITD

36P

adov

aN

UT

S3

(3)

PU

9.7

0.04

n.a.

--

ITD

37R

ovig

oN

UT

S3

(2)

IR18

.00.

10n.

a.-

-IT

D4

Friu

li-Ve

nezi

a G

iulia

NU

TS2

(2) I

R15

.00.

0523

.520

00/2

000

--

ITD

41P

orde

none

NU

TS

3(2

) IR

11.0

0.03

n.a.

--

ITD

42U

dine

NU

TS

3(2

) IR

14.8

0.05

n.a.

--

ITD

43G

oriz

iaN

UT

S3

(3)

PU

38.8

0.09

n.a.

--

ITD

44T

riest

eN

UT

S3

(3)

PU

38.5

0.43

n.a.

--

ITD

5Em

ilia-

Rom

agna

NU

TS2

(2) I

R20

.90.

0832

.420

00/2

000

--

ITD

51P

iace

nza

NU

TS

3(2

) IR

15.2

0.16

n.a.

--

ITD

52P

arm

aN

UT

S3

(2)

IR20

.90.

09n.

a.-

-IT

D53

Reg

gio

nell'

Em

ilia

NU

TS

3(3

) P

U17

.90.

06n.

a.-

-IT

D54

Mod

ena

NU

TS

3(3

) P

U21

.20.

09n.

a.-

-IT

D55

Bol

ogna

NU

TS

3(2

) IR

21.8

0.08

n.a.

--

ITD

56F

erra

raN

UT

S3

(2)

IR30

.20.

12n.

a.-

-IT

D57

Rav

enna

NU

TS

3(3

) P

U25

.50.

10n.

a.-

-IT

D58

For

lì-C

esen

aN

UT

S3

(2)

IR18

.00.

06n.

a.-

-IT

D59

Rim

ini

NU

TS

3(3

) P

U12

.50.

02n.

a.-

-IT

E1To

scan

aN

UTS

2(2

) IR

9.9

0.05

15.9

2000

/200

0-

-IT

E11

Mas

sa-C

arra

raN

UT

S3

(2)

IR3.

60.

02n.

a.-

-IT

E12

Lucc

aN

UT

S3

(3)

PU

6.8

0.02

n.a.

--

ITE

13P

isto

iaN

UT

S3

(3)

PU

8.6

0.05

n.a.

--

ITE

14F

irenz

eN

UT

S3

(2)

IR12

.10.

09n.

a.-

-IT

E15

Pra

toN

UT

S3

(3)

PU

6.0

0.01

n.a.

--

ITE

16Li

vorn

oN

UT

S3

(3)

PU

15.0

0.02

n.a.

--

ITE

17P

isa

NU

TS

3(2

) IR

7.9

0.05

n.a.

--

ITE

18A

rezz

oN

UT

S3

(1)

PR

8.5

0.05

n.a.

--

ITE

19S

iena

NU

TS

3(1

) P

R14

.10.

08n.

a.-

-IT

E1A

Gro

sset

oN

UT

S3

(1)

PR

13.3

0.08

n.a.

--

ITE2

Um

bria

NU

TS2

(1) P

R6.

20.

0518

.120

00/2

000

--

ITE

21P

erug

iaN

UT

S3

(1)

PR

6.3

0.04

n.a.

--

ITE

22T

erni

NU

TS

3(2

) IR

5.8

0.08

n.a.

--

ITE3

Mar

che

NU

TS2

(2) I

R8.

20.

0217

.820

00/2

000

--

ITE

31P

esar

o e

Urb

ino

NU

TS

3(2

) IR

8.2

0.02

n.a.

--

ITE

32A

ncon

aN

UT

S3

(2)

IR9.

20.

03n.

a.-

-IT

E33

Mac

erat

aN

UT

S3

(2)

IR7.

90.

04n.

a.-

-IT

E34

Asc

oli P

icen

oN

UT

S3

(2)

IR7.

90.

01n.

a.-

-IT

E4La

zio

NU

TS2

(3) P

U6.

00.

0619

.520

00/2

000

--

ITE

41V

iterb

oN

UT

S3

(1)

PR

6.6

0.07

n.a.

--

ITE

42R

ieti

NU

TS

3(1

) P

R6.

60.

07n.

a.-

-IT

E43

Rom

aN

UT

S3

(3)

PU

6.5

0.04

n.a.

--

Obj

ectiv

e 4

- Tra

inin

g an

d Ed

ucat

ion

in

Agric

ultu

re

Obj

ectiv

e 5

- Age

St

ruct

ure

in

Agric

ultu

re

Obj

ectiv

e 6

- Lab

our

Prod

uctiv

ity in

Agr

icul

ture

Obj

ectiv

e 16

- Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

(Obj

ectiv

e 16

) - Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

% fa

rmer

s w

ith b

asic

and

fu

ll ed

ucat

ion

atta

ined

ratio

: far

mer

s <3

5 / >

= 55

yea

rs o

ldG

VA

/AW

UN

umbe

r of f

arm

s <

1 E

SU

% o

f far

ms

< 1

ES

U

Eur

osta

tE

uros

tat

Eur

osta

tE

uros

tat

Eur

osta

t

Far

m S

truct

ure

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

/ Eco

nom

ic

Acc

ount

s fo

r A

gric

ultu

reF

arm

Stru

ctur

e S

urve

yF

arm

Str

uctu

re S

urve

y

2000

2003

2003

/200

320

0320

03

%%

1000

Eur

o / A

WU

num

ber

of fa

rms

%

DG

AG

RI -

G2

DG

AG

RI -

G2

297

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)IT

E44

Latin

aN

UT

S3

(2)

IR8.

10.

07n.

a.-

-IT

E45

Fro

sino

neN

UT

S3

(2)

IR3.

90.

05n.

a.-

-IT

F1Ab

ruzz

oN

UTS

2(2

) IR

8.5

0.04

18.5

2000

/200

0-

-IT

F11

L'A

quila

NU

TS

3(1

) P

R9.

30.

04n.

a.-

-IT

F12

Ter

amo

NU

TS

3(2

) IR

7.7

0.05

n.a.

--

ITF

13P

esca

raN

UT

S3

(2)

IR11

.50.

05n.

a.-

-IT

F14

Chi

eti

NU

TS

3(2

) IR

7.5

0.02

n.a.

--

ITF2

Mol

ise

NU

TS2

(1) P

R5.

30.

089.

920

00/2

000

--

ITF

21Is

erni

aN

UT

S3

(1)

PR

2.5

0.07

n.a.

--

ITF

22C

ampo

bass

oN

UT

S3

(1)

PR

6.1

0.08

n.a.

--

ITF3

Cam

pani

aN

UTS

2(3

) PU

4.9

0.05

15.7

2000

/200

0-

-IT

F31

Cas

erta

NU

TS

3(2

) IR

4.7

0.05

n.a.

--

ITF

32B

enev

ento

NU

TS

3(2

) IR

7.9

0.08

n.a.

--

ITF

33N

apol

iN

UT

S3

(3)

PU

3.8

0.04

n.a.

--

ITF

34A

velli

noN

UT

S3

(2)

IR4.

80.

05n.

a.-

-IT

F35

Sal

erno

NU

TS

3(2

) IR

4.4

0.04

n.a.

--

ITF4

Pugl

iaN

UTS

2(2

) IR

5.2

0.06

18.0

2000

/200

0-

-IT

F41

Fog

gia

NU

TS

3(1

) P

R5.

40.

09n.

a.-

-IT

F42

Bar

iN

UT

S3

(3)

PU

5.6

0.03

n.a.

--

ITF

43T

aran

toN

UT

S3

(2)

IR5.

30.

05n.

a.-

-IT

F44

Brin

disi

NU

TS

3(3

) P

U4.

00.

07n.

a.-

-IT

F45

Lecc

eN

UT

S3

(3)

PU

5.2

0.04

n.a.

--

ITF5

Bas

ilica

taN

UTS

2(1

) PR

5.7

0.05

13.1

2000

/200

0-

-IT

F51

Pot

enza

NU

TS

3(1

) P

R4.

70.

03n.

a.-

-IT

F52

Mat

era

NU

TS

3(1

) P

R7.

60.

08n.

a.-

-IT

F6C

alab

riaN

UTS

2(2

) IR

3.1

0.05

15.0

2000

/200

0-

-IT

F61

Cos

enza

NU

TS

3(2

) IR

3.1

0.04

n.a.

--

ITF

62C

roto

neN

UT

S3

(1)

PR

3.1

0.07

n.a.

--

ITF

63C

atan

zaro

NU

TS

3(2

) IR

3.3

0.03

n.a.

--

ITF

64V

ibo

Val

entia

NU

TS

3(2

) IR

2.4

0.12

n.a.

--

ITF

65R

eggi

o di

Cal

abria

NU

TS

3(2

) IR

3.3

0.05

n.a.

--

ITG

1Si

cilia

NU

TS2

(2) I

R4.

30.

0620

.320

00/2

000

--

ITG

11T

rapa

niN

UT

S3

(2)

IR5.

40.

08n.

a.-

-IT

G12

Pal

erm

oN

UT

S3

(2)

IR5.

50.

05n.

a.-

-IT

G13

Mes

sina

NU

TS

3(2

) IR

3.2

0.02

n.a.

--

ITG

14A

grig

ento

NU

TS

3(2

) IR

4.3

0.05

n.a.

--

ITG

15C

alta

niss

etta

NU

TS

3(2

) IR

3.7

0.11

n.a.

--

ITG

16E

nna

NU

TS

3(1

) P

R3.

10.

10n.

a.-

-IT

G17

Cat

ania

NU

TS

3(2

) IR

4.2

0.03

n.a.

--

ITG

18R

agus

aN

UT

S3

(3)

PU

5.4

0.07

n.a.

--

ITG

19S

iracu

saN

UT

S3

(2)

IR4.

30.

01n.

a.-

-IT

G2

Sard

egna

NU

TS2

(1) P

R8.

00.

0714

.020

00/2

000

--

ITG

21S

assa

riN

UT

S3

(1)

PR

7.3

0.11

n.a.

--

ITG

22N

uoro

NU

TS

3(1

) P

R7.

40.

09n.

a.-

-IT

G23

Oris

tano

NU

TS

3(1

) P

R7.

50.

05n.

a.-

-IT

G24

Cag

liari

NU

TS

3(2

) IR

9.1

0.06

n.a.

--

CY0

0K

ypro

s/K

ibris

NU

TS2

(2) I

Rn.

a.0.

1413

.1s

16 7

9037

.1C

Y00

0K

ypro

s/K

ibris

NU

TS

3(2

) IR

n.a.

0.14

n.a.

16 7

9037

.1LV

00La

tvija

NU

TS2

(2) I

Rn.

a.0.

171.

6s

73 9

1058

.4LV

003

Kur

zem

eN

UT

S3

(2)

IRn.

a.0.

15n.

a.9

870

51.7

LV00

5La

tgal

eN

UT

S3

(2)

IRn.

a.0.

20n.

a.26

760

61.0

LV00

6R

iga

NU

TS

3(3

) P

Un.

a.0.

00n.

a.0

20.0

LV00

7P

ierig

aN

UT

S3

(1)

PR

n.a.

0.15

n.a.

9 91

059

.6LV

008

Vid

zem

eN

UT

S3

(1)

PR

n.a.

0.14

n.a.

14 9

4062

.0LV

009

Zem

gale

NU

TS

3(1

) P

Rn.

a.0.

19n.

a.12

430

54.1

LT00

Liet

uva

NU

TS2

(1) P

Rn.

a.0.

121.

918

2 75

067

.2LT

001

Aly

taus

(A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.0.

08n.

a.14

980

68.3

LT00

2K

auno

(A

pskr

itis)

NU

TS

3(2

) IR

n.a.

0.11

n.a.

26 2

4067

.4LT

003

Kla

iped

os (A

pskr

itis)

NU

TS

3(2

) IR

n.a.

0.16

n.a.

15 7

3065

.8LT

004

Mar

ijam

pole

s (A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.0.

15n.

a.13

890

58.9

LT00

5P

anev

ezio

(A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.0.

12n.

a.19

300

66.1

LT00

6S

iaul

iu (A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.0.

16n.

a.23

350

66.7

LT00

7T

aura

ges

(Aps

kriti

s)N

UT

S3

(1)

PR

n.a.

0.19

n.a.

12 7

0059

.6LT

008

Tel

siu

(Aps

kriti

s)N

UT

S3

(1)

PR

n.a.

0.16

n.a.

12 0

9064

.7LT

009

Ute

nos

(Aps

kriti

s)N

UT

S3

(1)

PR

n.a.

0.07

n.a.

16 9

5071

.4

Obj

ectiv

e 4

- Tra

inin

g an

d Ed

ucat

ion

in

Agric

ultu

re

Obj

ectiv

e 5

- Age

St

ruct

ure

in

Agric

ultu

re

Obj

ectiv

e 6

- Lab

our

Prod

uctiv

ity in

Agr

icul

ture

Obj

ectiv

e 16

- Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

(Obj

ectiv

e 16

) - Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

% fa

rmer

s w

ith b

asic

and

fu

ll ed

ucat

ion

atta

ined

ratio

: far

mer

s <3

5 / >

= 55

yea

rs o

ldG

VA

/AW

UN

umbe

r of f

arm

s <

1 E

SU

% o

f far

ms

< 1

ES

U

Eur

osta

tE

uros

tat

Eur

osta

tE

uros

tat

Eur

osta

t

Far

m S

truct

ure

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

/ Eco

nom

ic

Acc

ount

s fo

r A

gric

ultu

reF

arm

Stru

ctur

e S

urve

yF

arm

Str

uctu

re S

urve

y

2000

2003

2003

/200

320

0320

03

%%

1000

Eur

o / A

WU

num

ber

of fa

rms

%

DG

AG

RI -

G2

DG

AG

RI -

G2

298

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)LT

00A

Viln

iaus

(Aps

kriti

s)N

UT

S3

(2)

IRn.

a.0.

09n.

a.27

540

76.7

LU0

Luxe

mbo

urg

NU

TS1

(2) I

R51

.40.

2329

.720

00/2

000

--

LU00

Luxe

mbo

urg

NU

TS

2(2

) IR

51.4

0.23

31.1

s-

-H

U10

Köz

ép-M

agya

rors

zág

NU

TS2

(3) P

Un.

a.0.

093.

320

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0-

-P

T11

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aN

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IR10

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04n.

a.-

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T11

2C

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oN

UT

S3

(3)

PU

9.2

0.05

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--

PT

113

Ave

NU

TS

3(3

) P

U8.

10.

03n.

a.-

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T11

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rand

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NU

TS

3(3

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a.-

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Obj

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Obj

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f far

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Sur

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gric

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Str

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2000

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2003

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320

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03

%%

1000

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num

ber

of fa

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DG

AG

RI -

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cato

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Mea

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t

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cula

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bel

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vel

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text

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UT

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50.

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6E

ntre

Dou

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Vou

gaN

UT

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PU

5.1

0.04

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--

PT

117

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UT

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0.05

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PT

118

Alto

Trá

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2000

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Vou

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UT

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IR5.

30.

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T16

2B

aixo

Mon

dego

NU

TS

3(2

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5.5

0.03

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--

PT

163

Pin

hal L

itora

lN

UT

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20.

02n.

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NU

TS

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T16

5D

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UT

S3

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PR

4.1

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--

PT

166

Pin

hal I

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NU

TS

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70.

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T16

9B

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ulN

UT

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PT

16A

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UT

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16B

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2000

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NU

TS

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2000

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T18

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50.

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70.

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Ale

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9.7

0.04

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PT

185

Lezi

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TS

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R10

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6.9

2000

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0-

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ma

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7.0

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4.9

2000

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dos

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NU

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Reg

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NU

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60.

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020

00/2

000

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PT

300

Reg

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Mad

eira

NU

TS

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60.

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UTS

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730

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NU

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NU

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84.6

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38.6

0.36

10.2

2002

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3-

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NU

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37.2

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34K

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31.6

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2715

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UT

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IR39

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39.7

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Obj

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Obj

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Obj

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Prod

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Obj

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- Im

port

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Far

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N

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Acc

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2000

2003

2003

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320

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03

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num

ber

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DG

AG

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DG

AG

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301

Indi

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Mea

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Cal

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(Con

text

1)F

I183

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27n.

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3223

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003

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UT

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Pohj

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7.4

2002

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3-

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1K

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28.9

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31.2

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26.0

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Ble

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18.1

2002

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3-

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072

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SE08

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16.8

2002

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3-

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NU

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0.16

18.4

2002

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3-

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E09

1Jö

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NU

TS

3(1

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Rn.

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093

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20.2

2002

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3-

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NU

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NU

TS

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NU

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NU

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Obj

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0.08

n.a.

52 4

7073

.2R

O05

4T

imis

NU

TS

3(2

) IR

n.a.

0.16

n.a.

72 4

1065

.3R

O06

Nor

d-Ve

stN

UTS

2(1

) PR

n.a.

0.15

n.a.

446

510

71.5

RO

061

Bih

orN

UT

S3

(1)

PR

n.a.

0.13

n.a.

92 5

6066

.4R

O06

2B

istr

ita-N

asau

dN

UT

S3

(1)

PR

n.a.

0.18

n.a.

54 9

6068

.2R

O06

3C

luj

NU

TS

3(2

) IR

n.a.

0.09

n.a.

96 2

7074

.0R

O06

4M

aram

ures

NU

TS

3(1

) P

Rn.

a.0.

19n.

a.89

640

80.4

RO

065

Sat

u M

are

NU

TS

3(1

) P

Rn.

a.0.

24n.

a.60

710

70.1

RO

066

Sal

ajN

UT

S3

(1)

PR

n.a.

0.12

n.a.

52 3

7068

.5R

O07

Cen

tru

NU

TS2

(2) I

Rn.

a.0.

14n.

a.35

5 62

074

.6R

O07

1A

lba

NU

TS

3(1

) P

Rn.

a.0.

09n.

a.69

660

75.0

RO

072

Bra

sov

NU

TS

3(2

) IR

n.a.

0.13

n.a.

42 4

7074

.4R

O07

3C

ovas

naN

UT

S3

(1)

PR

n.a.

0.23

n.a.

38 0

0068

.8R

O07

4H

argh

itaN

UT

S3

(1)

PR

n.a.

0.18

n.a.

60 8

2076

.1R

O07

5M

ures

NU

TS

3(2

) IR

n.a.

0.12

n.a.

97 7

9075

.4R

O07

6S

ibiu

NU

TS

3(2

) IR

n.a.

0.16

n.a.

46 8

8076

.0R

O08

Buc

ures

tiN

UTS

2(3

) PU

n.a.

0.10

n.a.

62 3

0086

.8R

O08

1B

ucur

esti

NU

TS

3(3

) P

Un.

a.0.

05n.

a.3

850

87.5

RO

082

Ilfov

NU

TS

3(2

) IR

n.a.

0.11

n.a.

58 4

5086

.7

Obj

ectiv

e 4

- Tra

inin

g an

d Ed

ucat

ion

in

Agric

ultu

re

Obj

ectiv

e 5

- Age

St

ruct

ure

in

Agric

ultu

re

Obj

ectiv

e 6

- Lab

our

Prod

uctiv

ity in

Agr

icul

ture

Obj

ectiv

e 16

- Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

(Obj

ectiv

e 16

) - Im

port

ance

of

Sem

i-Sub

sist

ence

Far

min

g in

N

MS

% fa

rmer

s w

ith b

asic

and

fu

ll ed

ucat

ion

atta

ined

ratio

: far

mer

s <3

5 / >

= 55

yea

rs o

ldG

VA

/AW

UN

umbe

r of f

arm

s <

1 E

SU

% o

f far

ms

< 1

ES

U

Eur

osta

tE

uros

tat

Eur

osta

tE

uros

tat

Eur

osta

t

Far

m S

truct

ure

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

/ Eco

nom

ic

Acc

ount

s fo

r A

gric

ultu

reF

arm

Stru

ctur

e S

urve

yF

arm

Str

uctu

re S

urve

y

2000

2003

2003

/200

320

0320

03

%%

1000

Eur

o / A

WU

num

ber

of fa

rms

%

DG

AG

RI -

G2

DG

AG

RI -

G2

304

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)B

E1_2

Vlaa

ms

gew

est e

n B

russ

elN

UTS

1(3

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3.4

OFP

pro

ject

0.5

OFP

pro

ject

16.3

BE

21A

ntw

erpe

nN

UT

S2

(3)

PU

n.a.

n.a.

14.5

BE

22Li

mbu

rg (

B)

NU

TS

2(3

) P

Un.

a.n.

a.18

.8B

E23

Oos

t-V

laan

dere

nN

UT

S2

(3)

PU

n.a.

n.a.

16.6

BE

24_1

Vla

ams

Bra

bant

, Bru

ssel

sN

UT

S2

(3)P

Un.

a.n.

a.20

.2B

E25

Wes

t-V

laan

dere

nN

UT

S2

(3)

PU

n.a.

n.a.

14.2

BE3

Rég

ion

Wal

lonn

eN

UTS

1(2

)IR20

.6O

FP p

roje

ct2.

7O

FP p

roje

ct22

.1B

E31

Bra

bant

Wal

lon

NU

TS

2(3

) P

Un.

a.n.

a.19

.1B

E32

Hai

naut

NU

TS

2(3

) P

Un.

a.n.

a.14

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E33

Lièg

eN

UT

S2

(2)

IRn.

a.n.

a.27

.8B

E34

Luxe

mbo

urg

(B)

NU

TS

2(1

) P

Rn.

a.n.

a.30

.1B

E35

Nam

urN

UT

S2

(2)

IRn.

a.n.

a.19

.4C

Z01

Prah

aN

UTS

2(3

) PU

0.0

FSS2

003

0.0

FSS2

003

30.4

CZ

010

Pra

haN

UT

S3

(3)

PU

n.a.

n.a.

30.4

CZ0

2St

redn

i Cec

hyN

UTS

2(2

) IR

n.s.

FSS2

003

n.a.

FSS2

003

41.7

CZ

020

Str

edoc

esky

NU

TS

3(2

) IR

n.a.

n.a.

41.7

CZ0

3Ji

hoza

pad

NU

TS2

(2) I

R40

.4FS

S200

35.

2FS

S200

345

.4C

Z03

1Ji

hoce

sky

NU

TS

3(2

) IR

n.a.

n.a.

46.7

CZ

032

Plz

ensk

yN

UT

S3

(2)

IRn.

a.n.

a.42

.6C

Z04

Seve

roza

pad

NU

TS2

(2) I

R72

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S200

322

.2FS

S200

339

.4C

Z04

1K

arlo

vars

kyN

UT

S3

(2)

IRn.

a.n.

a.51

.8C

Z04

2U

stec

kyN

UT

S3

(2)

IRn.

a.n.

a.36

.7C

Z05

Seve

rovy

chod

NU

TS2

(2) I

Rn.

s.FS

S200

3n.

a.FS

S200

344

.5C

Z05

1Li

bere

cky

NU

TS

3(2

) IR

n.a.

n.a.

46.4

CZ

052

Kra

love

hrad

ecky

NU

TS

3(2

) IR

n.a.

n.a.

43.0

CZ

053

Par

dubi

cky

NU

TS

3(2

) IR

n.a.

n.a.

44.6

CZ0

6Ji

hovy

chod

NU

TS2

(2) I

Rn.

s.FS

S200

3n.

a.FS

S200

345

.6C

Z06

1V

ysoc

ina

NU

TS

3(1

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Rn.

a.n.

a.45

.0C

Z06

2Ji

hom

orav

sky

NU

TS

3(2

) IR

n.a.

n.a.

45.9

CZ0

7St

redn

i Mor

ava

NU

TS2

(2) I

Rn.

s.FS

S200

3n.

a.FS

S200

346

.2C

Z07

1O

lom

ouck

yN

UT

S3

(2)

IRn.

a.n.

a.42

.7C

Z07

2Z

linsk

yN

UT

S3

(2)

IRn.

a.n.

a.48

.4C

Z08

Mor

avsk

osle

zsko

NU

TS2

(2) I

R27

.8FS

S200

312

.5FS

S200

342

.8C

Z08

0M

orav

skos

lezs

kyN

UT

S3

(2)

IRn.

a.n.

a.42

.8D

K00

Dan

mar

kN

UTS

2(2

) IR

165.

1O

FP p

roje

ct6.

2O

FP p

roje

ct41

.9D

K00

1_2_

3_4

Kø

benh

avn,

Fre

derik

sbor

g, R

oski

lde

NU

TS

3(3

)PU

n.a.

n.a.

46.2

DK

005

Ves

tsjæ

lland

s am

tN

UT

S3

(1)

PR

n.a.

n.a.

56.9

DK

006

Sto

rstr

øm

s am

tN

UT

S3

(1)

PR

n.a.

n.a.

41.8

DK

007

Bor

nhol

ms

amt

NU

TS

3(1

) P

Rn.

a.n.

a.42

.0D

K00

8F

yns

amt

NU

TS

3(2

) IR

n.a.

n.a.

34.9

DK

009

Sø

nder

jylla

nds

amt

NU

TS

3(1

) P

Rn.

a.n.

a.34

.8D

K00

AR

ibe

amt

NU

TS

3(1

) P

Rn.

a.n.

a.40

.5D

K00

BV

ejle

am

tN

UT

S3

(2)

IRn.

a.n.

a.43

.7D

K00

CR

ingk

øbi

ng a

mt

NU

TS

3(1

) P

Rn.

a.n.

a.31

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K00

DÅ

rhus

am

tN

UT

S3

(2)

IRn.

a.n.

a.46

.8D

K00

EV

ibor

g am

tN

UT

S3

(1)

PR

n.a.

n.a.

45.0

DK

00F

Nor

djyl

land

s am

tN

UT

S3

(1)

PR

n.a.

n.a.

41.4

DE1

Bad

en-W

ürtte

mbe

rgN

UTS

1(3

)PU

n.a.

n.a.

56.9

DE

11S

tuttg

art

NU

TS

2(3

) P

Un.

a.n.

a.53

.6D

E12

Kar

lsru

heN

UT

S2

(3)

PU

n.a.

n.a.

56.3

DE

13F

reib

urg

NU

TS

2(2

) IR

n.a.

n.a.

63.1

DE

14T

übin

gen

NU

TS

2(2

) IR

n.a.

n.a.

53.3

DE2

Bay

ern

NU

TS1

(2)IR

n.a.

n.a.

51.4

DE

21O

berb

ayer

nN

UT

S2

(2)

IRn.

a.n.

a.45

.1D

E22

Nie

derb

ayer

nN

UT

S2

(1)

PR

n.a.

n.a.

51.3

DE

23O

berp

falz

NU

TS

2(1

) P

Rn.

a.n.

a.53

.4D

E24

Obe

rfra

nken

NU

TS

2(2

) IR

n.a.

n.a.

60.7

DE

25M

ittel

fran

ken

NU

TS

2(2

) IR

n.a.

n.a.

56.6

DE

26U

nter

fran

ken

NU

TS

2(2

) IR

n.a.

n.a.

64.0

DE

27S

chw

aben

NU

TS

2(2

) IR

n.a.

n.a.

42.9

DE3

_90_

5_6

Ham

burg

,Bre

men

,Ber

linN

UTS

1(3

)PU

n.a.

n.a.

25.3

DE

3_90

_5_6

Ham

burg

,Bre

men

,Ber

linN

UT

S2

(3)P

Un.

a.n.

a.25

.3D

E4B

rand

enbu

rgN

UTS

1(2

)IRn.

a.n.

a.40

.8D

E41

Bra

nden

burg

- N

ordo

stN

UT

S2

(2)

IRn.

a.n.

a.39

.0D

E42

Bra

nden

burg

- S

üdw

est

NU

TS

2(1

) P

Rn.

a.n.

a.42

.8

Tho

usan

d ha

%

Far

m S

truct

ure

Sur

vey

Far

m S

truc

ture

Sur

vey

2003

2003

UA

A u

nder

org

anic

farm

ing

% U

AA

und

er o

rgan

ic fa

rmin

g

Eur

osta

tE

uros

tat

%

% h

olde

rs w

ith o

ther

ga

infu

l act

ivity

Eur

osta

t

Far

m S

truc

ture

Sur

vey

2003

Obj

ectiv

e 27

- Fa

rmer

s w

ith O

ther

Gai

nful

Ac

tiviti

esO

bjec

tive

23 -

Soil:

Org

anic

Far

min

g(O

bjec

tive

23) -

Soi

l: O

rgan

ic F

arm

ing

305

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)D

E7H

esse

nN

UTS

1(3

)PU

n.a.

n.a.

56.6

DE

71D

arm

stad

tN

UT

S2

(3)

PU

n.a.

n.a.

49.3

DE

72G

iess

enN

UT

S2

(2)

IRn.

a.n.

a.62

.5D

E73

Kas

sel

NU

TS

2(2

) IR

n.a.

n.a.

58.5

DE8

Mec

klen

burg

-Vor

pom

mer

nN

UTS

1(2

)IRn.

a.n.

a.31

.1D

E80

Mec

klen

burg

-Vor

pom

mer

nN

UT

S2

(2)

IRn.

a.n.

a.31

.1D

E9B

raun

schw

eig

NU

TS2

(2) I

Rn.

a.n.

a.37

.6D

E91

Han

nove

rN

UT

S2

(2)

IRn.

a.n.

a.43

.6D

E92

Lüne

burg

NU

TS

2(2

) IR

n.a.

n.a.

41.8

DE

93W

eser

-Em

sN

UT

S2

(2)

IRn.

a.n.

a.36

.6D

E94

Nie

ders

achs

enN

UT

S1

(2)I

Rn.

a.n.

a.35

.1D

E AN

ordr

hein

-Wes

tfale

nN

UTS

1(3

)PU

n.a.

n.a.

43.8

DE

A1

Düs

seld

orf

NU

TS

2(3

) P

Un.

a.n.

a.26

.2D

EA

2K

öln

NU

TS

2(3

) P

Un.

a.n.

a.36

.2D

EA

3M

ünst

erN

UT

S2

(3)

PU

n.a.

n.a.

45.8

DE

A4

Det

mol

dN

UT

S2

(3)

PU

n.a.

n.a.

52.4

DE

A5

Arn

sber

gN

UT

S2

(3)

PU

n.a.

n.a.

49.6

DEB

Rhe

inla

nd-P

falz

NU

TS1

(2)IR

n.a.

n.a.

46.0

DE

B1

Kob

lenz

NU

TS

2(2

) IR

n.a.

n.a.

53.2

DE

B2

Trie

rN

UT

S2

(2)

IRn.

a.n.

a.50

.7D

EB

3R

hein

hess

en-P

falz

NU

TS

2(3

) P

Un.

a.n.

a.37

.9D

ECSa

arla

ndN

UTS

1(3

)PU

n.a.

n.a.

53.0

DE

C0

Saa

rland

NU

TS

2(3

) P

Un.

a.n.

a.53

.0D

EDSa

chse

nN

UTS

1(2

)IRn.

a.n.

a.45

.2D

ED

1C

hem

nitz

NU

TS

2(2

) IR

n.a.

n.a.

47.2

DE

D2

Dre

sden

NU

TS

2(2

) IR

n.a.

n.a.

43.8

DE

D3

Leip

zig

NU

TS

2(2

) IR

n.a.

n.a.

43.3

DEE

Sach

sen-

Anha

ltN

UTS

1(2

)IRn.

a.n.

a.32

.6D

EE

1D

essa

uN

UT

S2

(2)

IRn.

a.n.

a.40

.6D

EE

2H

alle

NU

TS

2(2

) IR

n.a.

n.a.

34.2

DE

E3

Mag

debu

rgN

UT

S2

(2)

IRn.

a.n.

a.29

.6D

EFSc

hles

wig

-Hol

stei

nN

UTS

1(2

)IRn.

a.n.

a.32

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EF

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chle

swig

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stei

nN

UT

S2

(2)

IRn.

a.n.

a.32

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EGTh

ürin

gen

NU

TS1

(2)IR

n.a.

n.a.

44.6

DE

G0

Thü

ringe

nN

UT

S2

(2)

IRn.

a.n.

a.44

.6EE

00Ee

sti

NU

TS2

(2) I

R42

.6O

FP p

roje

ct5.

4O

FP p

roje

ct44

.3E

E00

1P

õhja

-Ees

tiN

UT

S3

(2)

IRn.

a.n.

a.56

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E00

4Lä

äne-

Ees

tiN

UT

S3

(2)

IRn.

a.n.

a.40

.3E

E00

6K

esk-

Ees

tiN

UT

S3

(1)

PR

n.a.

n.a.

48.5

EE

007

Kird

e-E

esti

NU

TS

3(3

) P

Un.

a.n.

a.39

.0E

E00

8Lõ

una-

Ees

tiN

UT

S3

(2)

IRn.

a.n.

a.42

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R11

Anat

olik

i Mak

edon

ia, T

hrak

iN

UTS

2(1

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n.a.

n.a.

17.9

GR

111

Evr

osN

UT

S3

(1)

PR

n.a.

n.a.

15.6

GR

112

Xan

thi

NU

TS

3(2

) IR

n.a.

n.a.

27.1

GR

113

Rod

opi

NU

TS

3(1

) P

Rn.

a.n.

a.13

.4G

R11

4D

ram

aN

UT

S3

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PR

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2003

2003

2003

Far

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Sur

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21.8

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411

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412

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413

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421

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29.9

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431

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28.5

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432

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5.9

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12.3

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111

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113

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0.7

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28.5

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211

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29.8

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230

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241

Hue

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243

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30C

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38.4

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300

Com

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Un.

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411

Ávi

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UT

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Tho

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2003

2003

2003

Far

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416

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419

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34.4

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421

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422

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511

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TS

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) IR

n.a.

n.a.

26.0

FR

213

Mar

neN

UT

S3

(2)

IRn.

a.n.

a.36

.4F

R21

4H

aute

-Mar

neN

UT

S3

(1)

PR

n.a.

n.a.

27.9

FR22

Pica

rdie

NU

TS2

(2) I

R4.

8O

FP p

roje

ct0.

4O

FP p

roje

ct20

.7F

R22

1A

isne

NU

TS

3(2

) IR

n.a.

n.a.

21.3

FR

222

Ois

eN

UT

S3

(2)

IRn.

a.n.

a.21

.1F

R22

3S

omm

eN

UT

S3

(2)

IRn.

a.n.

a.20

.0

Tho

usan

d ha

%%

2003

2003

2003

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

Eur

osta

tE

uros

tat

Eur

osta

t

UA

A u

nder

org

anic

farm

ing

% U

AA

und

er o

rgan

ic fa

rmin

g%

hol

ders

with

oth

er

gain

ful a

ctiv

ity

Obj

ectiv

e 23

- So

il: O

rgan

ic F

arm

ing

(Obj

ectiv

e 23

) - S

oil:

Org

anic

Far

min

gO

bjec

tive

27 -

Farm

ers

with

Oth

er G

ainf

ul

Activ

ities

308

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)FR

23H

aute

-Nor

man

die

NU

TS2

(2) I

R3.

6O

FP p

roje

ct0.

5O

FP p

roje

ct27

.0F

R23

1E

ure

NU

TS

3(2

) IR

n.a.

n.a.

28.2

FR

232

Sei

ne-M

ariti

me

NU

TS

3(2

) IR

n.a.

n.a.

26.1

FR24

Cen

tre

NU

TS2

(2) I

R18

.8O

FP p

roje

ct0.

8O

FP p

roje

ct21

.7F

R24

1C

her

NU

TS

3(1

) P

Rn.

a.n.

a.23

.7F

R24

2E

ure-

et-L

oir

NU

TS

3(2

) IR

n.a.

n.a.

25.0

FR

243

Indr

eN

UT

S3

(1)

PR

n.a.

n.a.

24.1

FR

244

Indr

e-et

-Loi

reN

UT

S3

(2)

IRn.

a.n.

a.20

.3F

R24

5Lo

ir-et

-Che

rN

UT

S3

(1)

PR

n.a.

n.a.

16.7

FR

246

Loire

tN

UT

S3

(2)

IRn.

a.n.

a.19

.7FR

25B

asse

-Nor

man

die

NU

TS2

(2) I

R30

.6O

FP p

roje

ct2.

5O

FP p

roje

ct22

.5F

R25

1C

alva

dos

NU

TS

3(2

) IR

n.a.

n.a.

20.7

FR

252

Man

che

NU

TS

3(1

) P

Rn.

a.n.

a.22

.3F

R25

3O

rne

NU

TS

3(1

) P

Rn.

a.n.

a.24

.6FR

26B

ourg

ogne

NU

TS2

(2) I

R27

.7O

FP p

roje

ct1.

6O

FP p

roje

ct19

.3F

R26

1C

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d'O

rN

UT

S3

(2)

IRn.

a.n.

a.17

.9F

R26

2N

ièvr

eN

UT

S3

(1)

PR

n.a.

n.a.

15.0

FR

263

Saô

ne-e

t-Lo

ireN

UT

S3

(2)

IRn.

a.n.

a.17

.5F

R26

4Y

onne

NU

TS

3(1

) P

Rn.

a.n.

a.30

.3FR

30N

ord

- Pas

-de-

Cal

ais

NU

TS2

(3) P

U3.

3O

FP p

roje

ct0.

4O

FP p

roje

ct19

.1F

R30

1N

ord

NU

TS

3(3

) P

Un.

a.n.

a.17

.2F

R30

2P

as-d

e-C

alai

sN

UT

S3

(2)

IRn.

a.n.

a.20

.9FR

41Lo

rrai

neN

UTS

2(2

) IR

20.8

OFP

pro

ject

1.8

OFP

pro

ject

31.2

FR

411

Meu

rthe

-et-

Mos

elle

NU

TS

3(2

) IR

n.a.

n.a.

29.6

FR

412

Meu

seN

UT

S3

(1)

PR

n.a.

n.a.

25.1

FR

413

Mos

elle

NU

TS

3(2

) IR

n.a.

n.a.

36.1

FR

414

Vos

ges

NU

TS

3(1

) P

Rn.

a.n.

a.31

.0FR

42Al

sace

NU

TS2

(2) I

R10

.9O

FP p

roje

ct3.

3O

FP p

roje

ct45

.3F

R42

1B

as-R

hin

NU

TS

3(2

) IR

n.a.

n.a.

43.3

FR

422

Hau

t-R

hin

NU

TS

3(2

) IR

n.a.

n.a.

47.9

FR43

Fran

che-

Com

téN

UTS

2(2

) IR

25.3

OFP

pro

ject

3.8

OFP

pro

ject

23.2

FR

431

Dou

bsN

UT

S3

(2)

IRn.

a.n.

a.18

.5F

R43

2Ju

raN

UT

S3

(1)

PR

n.a.

n.a.

29.4

FR

433

Hau

te-S

aône

NU

TS

3(1

) P

Rn.

a.n.

a.18

.9F

R43

4T

errit

oire

de

Bel

fort

NU

TS

3(2

) IR

n.a.

n.a.

37.0

FR51

Pays

de

la L

oire

NU

TS2

(2) I

R62

.6O

FP p

roje

ct2.

9O

FP p

roje

ct19

.3F

R51

1Lo

ire-A

tlant

ique

NU

TS

3(2

) IR

n.a.

n.a.

18.7

FR

512

Mai

ne-e

t-Lo

ireN

UT

S3

(2)

IRn.

a.n.

a.17

.5F

R51

3M

ayen

neN

UT

S3

(1)

PR

n.a.

n.a.

20.9

FR

514

Sar

the

NU

TS

3(2

) IR

n.a.

n.a.

25.6

FR

515

Ven

dée

NU

TS

3(1

) P

Rn.

a.n.

a.14

.7FR

52B

reta

gne

NU

TS2

(2) I

R37

.0O

FP p

roje

ct2.

2O

FP p

roje

ct17

.4F

R52

1C

ôtes

-d'A

rmor

NU

TS

3(1

) P

Rn.

a.n.

a.14

.8F

R52

2F

inis

tère

NU

TS

3(2

) IR

n.a.

n.a.

13.2

FR

523

Ille-

et-V

ilain

eN

UT

S3

(2)

IRn.

a.n.

a.22

.1F

R52

4M

orbi

han

NU

TS

3(1

) P

Rn.

a.n.

a.18

.3FR

53Po

itou-

Cha

rent

esN

UTS

2(1

) PR

24.3

OFP

pro

ject

1.4

OFP

pro

ject

21.5

FR

531

Cha

rent

eN

UT

S3

(1)

PR

n.a.

n.a.

26.8

FR

532

Cha

rent

e-M

ariti

me

NU

TS

3(2

) IR

n.a.

n.a.

21.7

FR

533

Deu

x-S

èvre

sN

UT

S3

(1)

PR

n.a.

n.a.

18.0

FR

534

Vie

nne

NU

TS

3(1

) P

Rn.

a.n.

a.19

.5FR

61Aq

uita

ine

NU

TS2

(2) I

R25

.7O

FP p

roje

ct1.

8O

FP p

roje

ct26

.9F

R61

1D

ordo

gne

NU

TS

3(1

) P

Rn.

a.n.

a.21

.1F

R61

2G

irond

eN

UT

S3

(2)

IRn.

a.n.

a.26

.7F

R61

3La

ndes

NU

TS

3(1

) P

Rn.

a.n.

a.31

.8F

R61

4Lo

t-et

-Gar

onne

NU

TS

3(1

) P

Rn.

a.n.

a.30

.8F

R61

5P

yrén

ées-

Atla

ntiq

ues

NU

TS

3(2

) IR

n.a.

n.a.

26.8

FR62

Mid

i-Pyr

énée

sN

UTS

2(2

) IR

62.0

OFP

pro

ject

2.6

OFP

pro

ject

24.5

FR

621

Ariè

geN

UT

S3

(1)

PR

n.a.

n.a.

23.8

FR

622

Ave

yron

NU

TS

3(1

) P

Rn.

a.n.

a.15

.8F

R62

3H

aute

-Gar

onne

NU

TS

3(2

) IR

n.a.

n.a.

30.9

FR

624

Ger

sN

UT

S3

(1)

PR

n.a.

n.a.

30.0

FR

625

Lot

NU

TS

3(1

) P

Rn.

a.n.

a.21

.4F

R62

6H

aute

s-P

yrén

ées

NU

TS

3(2

) IR

n.a.

n.a.

32.1

FR

627

Tar

nN

UT

S3

(2)

IRn.

a.n.

a.25

.0

Tho

usan

d ha

%%

2003

2003

2003

Far

m S

truct

ure

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

Eur

osta

tE

uros

tat

Eur

osta

t

UA

A u

nder

org

anic

farm

ing

% U

AA

und

er o

rgan

ic fa

rmin

g%

hol

ders

with

oth

er

gain

ful a

ctiv

ity

Obj

ectiv

e 23

- So

il: O

rgan

ic F

arm

ing

(Obj

ectiv

e 23

) - S

oil:

Org

anic

Far

min

gO

bjec

tive

27 -

Farm

ers

with

Oth

er G

ainf

ul

Activ

ities

309

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)F

R62

8T

arn-

et-G

aron

neN

UT

S3

(1)

PR

n.a.

n.a.

20.7

FR63

Lim

ousi

nN

UTS

2(1

) PR

20.2

OFP

pro

ject

2.3

OFP

pro

ject

19.7

FR

631

Cor

rèze

NU

TS

3(1

) P

Rn.

a.n.

a.20

.2F

R63

2C

reus

eN

UT

S3

(1)

PR

n.a.

n.a.

14.8

FR

633

Hau

te-V

ienn

eN

UT

S3

(2)

IRn.

a.n.

a.23

.3FR

71R

hône

-Alp

esN

UTS

2(2

) IR

42.9

OFP

pro

ject

2.8

OFP

pro

ject

26.6

FR

711

Ain

NU

TS

3(2

) IR

n.a.

n.a.

25.8

FR

712

Ard

èche

NU

TS

3(1

) P

Rn.

a.n.

a.25

.0F

R71

3D

rôm

eN

UT

S3

(2)

IRn.

a.n.

a.24

.1F

R71

4Is

ère

NU

TS

3(2

) IR

n.a.

n.a.

36.3

FR

715

Loire

NU

TS

3(2

) IR

n.a.

n.a.

23.8

FR

716

Rhô

neN

UT

S3

(3)

PU

n.a.

n.a.

15.3

FR

717

Sav

oie

NU

TS

3(2

) IR

n.a.

n.a.

36.9

FR

718

Hau

te-S

avoi

eN

UT

S3

(2)

IRn.

a.n.

a.31

.8FR

72Au

verg

neN

UTS

2(2

) IR

31.9

OFP

pro

ject

2.1

OFP

pro

ject

19.6

FR

721

Alli

erN

UT

S3

(2)

IRn.

a.n.

a.21

.4F

R72

2C

anta

lN

UT

S3

(1)

PR

n.a.

n.a.

11.3

FR

723

Hau

te-L

oire

NU

TS

3(1

) P

Rn.

a.n.

a.20

.3F

R72

4P

uy-d

e-D

ôme

NU

TS

3(2

) IR

n.a.

n.a.

23.9

FR81

Lang

uedo

c-R

ouss

illon

NU

TS2

(2) I

R45

.7O

FP p

roje

ct4.

7O

FP p

roje

ct24

.9F

R81

1A

ude

NU

TS

3(2

) IR

n.a.

n.a.

29.6

FR

812

Gar

dN

UT

S3

(2)

IRn.

a.n.

a.19

.4F

R81

3H

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ltN

UT

S3

(2)

IRn.

a.n.

a.25

.3F

R81

4Lo

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NU

TS

3(1

) P

Rn.

a.n.

a.19

.9F

R81

5P

yrén

ées-

Orie

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esN

UT

S3

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IRn.

a.n.

a.26

.3FR

82Pr

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ce-A

lpes

-Côt

e d'

Azur

NU

TS2

(2) I

R38

.2O

FP p

roje

ct5.

6O

FP p

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ct19

.0F

R82

1A

lpes

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Hau

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rove

nce

NU

TS

3(1

) P

Rn.

a.n.

a.23

.9F

R82

2H

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s-A

lpes

NU

TS

3(1

) P

Rn.

a.n.

a.32

.7F

R82

3A

lpes

-Mar

itim

esN

UT

S3

(3)

PU

n.a.

n.a.

16.7

FR

824

Bou

ches

-du-

Rhô

neN

UT

S3

(3)

PU

n.a.

n.a.

12.5

FR

825

Var

NU

TS

3(2

) IR

n.a.

n.a.

17.4

FR

826

Vau

clus

eN

UT

S3

(2)

IRn.

a.n.

a.19

.7FR

83C

orse

NU

TS2

(1) P

R3.

0O

FP p

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ct1.

9O

FP p

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ct19

.2F

R83

1C

orse

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Sud

NU

TS

3(2

) IR

n.a.

n.a.

28.4

FR

832

Hau

te-C

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NU

TS

3(1

) P

Rn.

a.n.

a.12

.8FR

9D

épar

tem

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(D.O

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NU

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U0.

2O

FP p

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2O

FP p

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ct34

.4F

R91

0G

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eN

UT

S3

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IRn.

a.n.

a.50

.0F

R92

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NU

TS

3(3

) P

Un.

a.n.

a.31

.4F

R93

0G

uyan

eN

UT

S3

(1)

PR

n.a.

n.a.

35.5

FR

940

Réu

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NU

TS

3(3

) P

Un.

a.n.

a.14

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and

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NU

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Rn.

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Bor

der

NU

TS

3(1

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012

Mid

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(IE

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UT

S3

(1)

PR

n.a.

n.a.

43.4

IE01

3W

est (

IE)

NU

TS

3(1

) P

Rn.

a.n.

a.44

.9IE

02So

uthe

rn a

nd E

aste

rnN

UTS

2(2

) IR

n.a.

n.a.

38.4

IE02

1_22

Dub

lin &

Mid

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t (IE

)N

UT

S3

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Rn.

a.n.

a.42

.3IE

023

Mid

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t (IE

)N

UT

S3

(1)

PR

n.a.

n.a.

40.1

IE02

4S

outh

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t (IE

)N

UT

S3

(1)

PR

n.a.

n.a.

36.0

IE02

5S

outh

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t (IE

)N

UT

S3

(1)

PR

n.a.

n.a.

37.1

ITC

1Pi

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teN

UTS

2(2

) IR

57.4

OFP

pro

ject

5.3

OFP

pro

ject

15.5

ITC

11T

orin

oN

UT

S3

(3)

PU

n.a.

n.a.

16.6

ITC

12V

erce

lliN

UT

S3

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IRn.

a.n.

a.1.

8IT

C13

Bie

llaN

UT

S3

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IRn.

a.n.

a.15

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C14

Ver

bano

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C15

Nov

ara

NU

TS

3(3

) P

Un.

a.n.

a.15

.6IT

C16

Cun

eoN

UT

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IRn.

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a.15

.3IT

C17

Ast

iN

UT

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IRn.

a.n.

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.6IT

C18

Ale

ssan

dria

NU

TS

3(2

) IR

n.a.

n.a.

13.8

ITC

2Va

lle d

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ta/V

allé

e d'

Aost

eN

UTS

2(1

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n.a.

OFP

pro

ject

(with

Pie

mon

n.a.

OFP

pro

ject

(with

Pie

mon

te)

19.2

ITC

20V

alle

d'A

osta

/Val

lée

d'A

oste

NU

TS

3(1

) P

Rn.

a.n.

a.19

.2IT

C3

Ligu

riaN

UTS

2(3

) PU

4.1

OFP

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ject

8.1

OFP

pro

ject

18.2

ITC

31Im

peria

NU

TS

3(3

) P

Un.

a.n.

a.13

.7IT

C32

Sav

ona

NU

TS

3(2

) IR

n.a.

n.a.

19.0

ITC

33G

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n.a.

n.a.

26.8

ITC

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Spe

zia

NU

TS

3(3

) P

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a.n.

a.8.

7

Tho

usan

d ha

%%

2003

2003

2003

Far

m S

truct

ure

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

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ture

Sur

vey

Eur

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tat

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t

UA

A u

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anic

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ing

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und

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rmin

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ders

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er

gain

ful a

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ity

Obj

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e 23

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rgan

ic F

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(Obj

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Org

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27 -

Farm

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ainf

ul

Activ

ities

310

Indi

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sure

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t

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rce

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r

Uni

t

Cal

cula

tion

FS

S20

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bel

NU

TS

le

vel

FLA

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(Con

text

1)IT

C4

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UTS

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) PU

29.9

OFP

pro

ject

3.0

OFP

pro

ject

20.7

ITC

41V

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eN

UT

S3

(3)

PU

n.a.

n.a.

8.5

ITC

42C

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NU

TS

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) P

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C43

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UT

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PU

n.a.

n.a.

18.7

ITC

44S

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43.8

ITC

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TS

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) P

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a.19

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C46

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oN

UT

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PU

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35.8

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47B

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n.a.

n.a.

16.0

ITC

48P

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NU

TS

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) IR

n.a.

n.a.

21.9

ITC

49Lo

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9.1

ITD

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9.5

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ject

6.3

OFP

pro

ject

24.2

ITD

20T

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oN

UT

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(2)

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a.n.

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24.4

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2.9

OFP

pro

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23.1

ITD

31V

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aN

UT

S3

(3)

PU

n.a.

n.a.

25.6

ITD

32V

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zaN

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S3

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n.a.

n.a.

26.5

ITD

33B

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noN

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S3

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n.a.

n.a.

27.4

ITD

34T

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UT

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n.a.

n.a.

21.3

ITD

35V

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n.a.

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20.6

ITD

36P

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n.a.

n.a.

21.9

ITD

37R

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NU

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7O

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TS

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) P

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TS

3(3

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D5

Emili

a-R

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naN

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111.

8O

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D51

Pia

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aN

UT

S3

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a.24

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D52

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TS

3(2

) IR

n.a.

n.a.

22.1

ITD

53R

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aN

UT

S3

(3)

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n.a.

n.a.

20.5

ITD

54M

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aN

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(3)

PU

n.a.

n.a.

26.4

ITD

55B

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naN

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a.n.

a.27

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D56

Fer

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NU

TS

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) IR

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22.0

ITD

57R

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naN

UT

S3

(3)

PU

n.a.

n.a.

11.4

ITD

58F

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ena

NU

TS

3(2

) IR

n.a.

n.a.

18.2

ITD

59R

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iN

UT

S3

(3)

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n.a.

n.a.

26.7

ITE1

Tosc

ana

NU

TS2

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R84

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FP p

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FP p

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raN

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a.15

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UT

S3

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PU

n.a.

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23.1

ITE

13P

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iaN

UT

S3

(3)

PU

n.a.

n.a.

30.3

ITE

14F

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eN

UT

S3

(2)

IRn.

a.n.

a.43

.0IT

E15

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toN

UT

S3

(3)

PU

n.a.

n.a.

17.6

ITE

16Li

vorn

oN

UT

S3

(3)

PU

n.a.

n.a.

25.1

ITE

17P

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NU

TS

3(2

) IR

n.a.

n.a.

23.3

ITE

18A

rezz

oN

UT

S3

(1)

PR

n.a.

n.a.

22.1

ITE

19S

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NU

TS

3(1

) P

Rn.

a.n.

a.29

.9IT

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Gro

sset

oN

UT

S3

(1)

PR

n.a.

n.a.

16.2

ITE2

Um

bria

NU

TS2

(1) P

R34

.8O

FP p

roje

ct9.

7O

FP p

roje

ct22

.9IT

E21

Per

ugia

NU

TS

3(1

) P

Rn.

a.n.

a.21

.7IT

E22

Ter

niN

UT

S3

(2)

IRn.

a.n.

a.25

.5IT

E3M

arch

eN

UTS

2(2

) IR

52.9

OFP

pro

ject

10.3

OFP

pro

ject

26.7

ITE

31P

esar

o e

Urb

ino

NU

TS

3(2

) IR

n.a.

n.a.

35.2

ITE

32A

ncon

aN

UT

S3

(2)

IRn.

a.n.

a.17

.6IT

E33

Mac

erat

aN

UT

S3

(2)

IRn.

a.n.

a.22

.1IT

E34

Asc

oli P

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oN

UT

S3

(2)

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a.n.

a.29

.4IT

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NU

TS2

(3) P

U74

.1O

FP p

roje

ct10

.2O

FP p

roje

ct24

.0IT

E41

Vite

rbo

NU

TS

3(1

) P

Rn.

a.n.

a.19

.6IT

E42

Rie

tiN

UT

S3

(1)

PR

n.a.

n.a.

27.7

ITE

43R

oma

NU

TS

3(3

) P

Un.

a.n.

a.21

.9

Tho

usan

d ha

%%

2003

2003

2003

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

Eur

osta

tE

uros

tat

Eur

osta

t

UA

A u

nder

org

anic

farm

ing

% U

AA

und

er o

rgan

ic fa

rmin

g%

hol

ders

with

oth

er

gain

ful a

ctiv

ity

Obj

ectiv

e 23

- So

il: O

rgan

ic F

arm

ing

(Obj

ectiv

e 23

) - S

oil:

Org

anic

Far

min

gO

bjec

tive

27 -

Farm

ers

with

Oth

er G

ainf

ul

Activ

ities

311

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)IT

E44

Latin

aN

UT

S3

(2)

IRn.

a.n.

a.20

.2IT

E45

Fro

sino

neN

UT

S3

(2)

IRn.

a.n.

a.28

.3IT

F1Ab

ruzz

oN

UTS

2(2

) IR

17.8

OFP

pro

ject

4.3

OFP

pro

ject

20.1

ITF

11L'

Aqu

ilaN

UT

S3

(1)

PR

n.a.

n.a.

10.9

ITF

12T

eram

oN

UT

S3

(2)

IRn.

a.n.

a.17

.2IT

F13

Pes

cara

NU

TS

3(2

) IR

n.a.

n.a.

24.7

ITF

14C

hiet

iN

UT

S3

(2)

IRn.

a.n.

a.23

.5IT

F2M

olis

eN

UTS

2(1

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6.6

OFP

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ject

3.1

OFP

pro

ject

20.7

ITF

21Is

erni

aN

UT

S3

(1)

PR

n.a.

n.a.

17.0

ITF

22C

ampo

bass

oN

UT

S3

(1)

PR

n.a.

n.a.

21.5

ITF3

Cam

pani

aN

UTS

2(3

) PU

14.7

OFP

pro

ject

2.6

OFP

pro

ject

26.0

ITF

31C

aser

taN

UT

S3

(2)

IRn.

a.n.

a.24

.2IT

F32

Ben

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toN

UT

S3

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IRn.

a.n.

a.17

.9IT

F33

Nap

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NU

TS

3(3

) P

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a.27

.8IT

F34

Ave

llino

NU

TS

3(2

) IR

n.a.

n.a.

24.5

ITF

35S

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noN

UT

S3

(2)

IRn.

a.n.

a.30

.9IT

F4Pu

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NU

TS2

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R78

.2O

FP p

roje

ct6.

1O

FP p

roje

ct34

.4IT

F41

Fog

gia

NU

TS

3(1

) P

Rn.

a.n.

a.28

.2IT

F42

Bar

iN

UT

S3

(3)

PU

n.a.

n.a.

31.9

ITF

43T

aran

toN

UT

S3

(2)

IRn.

a.n.

a.49

.2IT

F44

Brin

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NU

TS

3(3

) P

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a.37

.4IT

F45

Lecc

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UT

S3

(3)

PU

n.a.

n.a.

32.9

ITF5

Bas

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taN

UTS

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35.9

OFP

pro

ject

6.5

OFP

pro

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26.7

ITF

51P

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zaN

UT

S3

(1)

PR

n.a.

n.a.

27.0

ITF

52M

ater

aN

UT

S3

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PR

n.a.

n.a.

26.2

ITF6

Cal

abria

NU

TS2

(2) I

R48

.3O

FP p

roje

ct8.

9O

FP p

roje

ct40

.1IT

F61

Cos

enza

NU

TS

3(2

) IR

n.a.

n.a.

44.5

ITF

62C

roto

neN

UT

S3

(1)

PR

n.a.

n.a.

38.2

ITF

63C

atan

zaro

NU

TS

3(2

) IR

n.a.

n.a.

29.5

ITF

64V

ibo

Val

entia

NU

TS

3(2

) IR

n.a.

n.a.

42.1

ITF

65R

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Cal

abria

NU

TS

3(2

) IR

n.a.

n.a.

40.0

ITG

1Si

cilia

NU

TS2

(2) I

R17

1.0

OFP

pro

ject

13.5

OFP

pro

ject

36.9

ITG

11T

rapa

niN

UT

S3

(2)

IRn.

a.n.

a.29

.0IT

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Pal

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oN

UT

S3

(2)

IRn.

a.n.

a.32

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G13

Mes

sina

NU

TS

3(2

) IR

n.a.

n.a.

43.7

ITG

14A

grig

ento

NU

TS

3(2

) IR

n.a.

n.a.

41.4

ITG

15C

alta

niss

etta

NU

TS

3(2

) IR

n.a.

n.a.

36.1

ITG

16E

nna

NU

TS

3(1

) P

Rn.

a.n.

a.32

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NU

TS

3(2

) IR

n.a.

n.a.

42.3

ITG

18R

agus

aN

UT

S3

(3)

PU

n.a.

n.a.

40.5

ITG

19S

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saN

UT

S3

(2)

IRn.

a.n.

a.27

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Sard

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NU

TS2

(1) P

R19

1.8

OFP

pro

ject

16.7

OFP

pro

ject

21.7

ITG

21S

assa

riN

UT

S3

(1)

PR

n.a.

n.a.

25.8

ITG

22N

uoro

NU

TS

3(1

) P

Rn.

a.n.

a.18

.3IT

G23

Oris

tano

NU

TS

3(1

) P

Rn.

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a.20

.4IT

G24

Cag

liari

NU

TS

3(2

) IR

n.a.

n.a.

22.1

CY0

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ypro

s/K

ibris

NU

TS2

(2) I

Rn.

a.n.

a.55

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Y00

0K

ypro

s/K

ibris

NU

TS

3(2

) IR

n.a.

n.a.

55.5

LV00

Latv

ijaN

UTS

2(2

) IR

24.5

OFP

pro

ject

1.6

OFP

pro

ject

32.8

LV00

3K

urze

me

NU

TS

3(2

) IR

n.a.

n.a.

33.1

LV00

5La

tgal

eN

UT

S3

(2)

IRn.

a.n.

a.29

.1LV

006

Rig

aN

UT

S3

(3)

PU

n.a.

n.a.

0.0

LV00

7P

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aN

UT

S3

(1)

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n.a.

n.a.

39.0

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8V

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NU

TS

3(1

) P

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a.n.

a.33

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NU

TS

3(1

) P

Rn.

a.n.

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00Li

etuv

aN

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23.3

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pro

ject

0.9

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pro

ject

22.4

LT00

1A

lyta

us (

Aps

kriti

s)N

UT

S3

(1)

PR

n.a.

n.a.

17.7

LT00

2K

auno

(A

pskr

itis)

NU

TS

3(2

) IR

n.a.

n.a.

23.7

LT00

3K

laip

edos

(A

pskr

itis)

NU

TS

3(2

) IR

n.a.

n.a.

25.6

LT00

4M

arija

mpo

les

(Aps

kriti

s)N

UT

S3

(1)

PR

n.a.

n.a.

23.1

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5P

anev

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(A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.n.

a.22

.6LT

006

Sia

uliu

(A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.n.

a.25

.1LT

007

Tau

rage

s (A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.n.

a.20

.7LT

008

Tel

siu

(Aps

kriti

s)N

UT

S3

(1)

PR

n.a.

n.a.

23.5

LT00

9U

teno

s (A

pskr

itis)

NU

TS

3(1

) P

Rn.

a.n.

a.18

.3

Tho

usan

d ha

%%

2003

2003

2003

Far

m S

truct

ure

Sur

vey

Far

m S

truc

ture

Sur

vey

Far

m S

truc

ture

Sur

vey

Eur

osta

tE

uros

tat

Eur

osta

t

UA

A u

nder

org

anic

farm

ing

% U

AA

und

er o

rgan

ic fa

rmin

g%

hol

ders

with

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er

gain

ful a

ctiv

ity

Obj

ectiv

e 23

- So

il: O

rgan

ic F

arm

ing

(Obj

ectiv

e 23

) - S

oil:

Org

anic

Far

min

gO

bjec

tive

27 -

Farm

ers

with

Oth

er G

ainf

ul

Activ

ities

312

Indi

cato

r

Mea

sure

men

t

Sou

rce

Yea

r

Uni

t

Cal

cula

tion

FS

S20

03la

bel

NU

TS

le

vel

FLA

G O

EC

D /

G2

(Con

text

1)LT

00A

Viln

iaus

(A

pskr

itis)

NU

TS

3(2

) IR

n.a.

n.a.

21.4

LU0

Luxe

mbo

urg

NU

TS1

(2) I

R3.

0O

FP p

roje

ct2.

3O

FP p

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.6LU

00Lu

xem

bour

gN

UT

S2

(2)

IRn.

a.n.

a.16

.6H

U10

Köz

ép-M

agya

rors

zág

NU

TS2

(3) P

Un.

a.n.

a.42

.5H

U10

1B

udap

est

NU

TS

3(3

) P

Un.

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36.2

Tho

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2003

2003

2003

Far

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text

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12M

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28.8

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112

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161

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162

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2003

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Far

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2003

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318

319

CHAPTER 4 IMPLEMENTATION OF RURAL DEVELOPMENT

POLICY

320

321

Foreword

1. The following chapter aims at giving an overview of rural development policy implementation, in terms of measures monitoring on the one hand, and budget monitoring on the other hand. The information is organised by type of instrument, over the programming period 2000-2006.

Tables and graphs (See list of tables next page) are organised after the two following sections:

4.1 Rural development measures monitoring indicators 4.1.1 EAGGF-Guarantee Rural Development Measures Monitoring,

EU15, 2003 4.1.2 SAPARD Measures Monitoring,

NMS-8 & Accession Countries, programming period 2000-2006

4.2 Rural development budget expenditures monitoring, programming period 2000-2006 4.2.1 Overview of rural development financial implementation, 4.2.1.1 General overview of rural development financial implementation 4.2.1.2 EAGGF-Guidance 4.2.1.3 EAGGF-Guarantee 4.2.1.4 SAPARD 4.2.2 Financial implementation of EAGGF-Guarantee by Measure, 4.2.3 Financial implementation of EAGGF-Guarantee by Member State

2. Warnings • This chapter gathers information coming from different sources, which may not always

be consistent. This is particularly true for EAGGF-Guarantee financial information: in section 4.1.1, data come from the rural development monitoring system, and correspond to commitments made rather to actual payments, whereas in section 4.2.1.3; 4.2.2 & 4.2.3, data come from the financial managing units, and display what has really been paid to the Member State.

• For SAPARD, it should be noticed that: - It was not applicable to two new Member States (Cyprus & Malta) - In tables 4.1.2.1 to 4.1.2.12, the amount of EU contribution corresponds to the EU part in the

commitments made by the benefiting countries. This amount is in some cases higher than the amount in EU Financial plan (allocation). It happens when Member States committed more than the allocation as they estimate that the real take-off will be lower and because the transitional rules adopted by the Commission allowed the eight benefiting countries that became Member States in 2004 to use the TRDI funds to pay for commitments made under SAPARD when the relevant funds are exhausted. At the end of the period, EU will not contribute more than the amount allocated under the different rural development instruments for the entire period 2000-2006.

3. Coding conventions NA: figure is not available NI: applicable, but not yet implemented NP: not applicable

4. Acronyms used in this chapter EAGGF-Guarantee European Agricultural Guidance and Guarantee Fund; Guarantee Section EAGGF-Guidance European Agricultural Guidance and Guarantee Fund; Guidance Section TRDI Temporary Rural Development Instrument SAPARD Special Accession Programme for Agriculture and Rural Development

322

List of Tables

CHAPTER 4 - IMPLEMENTATION OF RURAL DEVELOPMENT POLICYSection 4.1 Rural Development Measures Monitoring Indicators

4.1.1 EAGGF-Guarantee Rural Development Measures Monitoring, EU-15, 20034.1.1.1 Overview of Rural Development Measures implemented by Member States in 2003

4.1.1.2 Rural Development Public Expenditure Committed by Measure

4.1.1.3 Rural Development Public Expenditure Committed by Member State

4.1.1.4 Measure for Investment in Agricultural Holdings

4.1.1.5 Measure for Setting-up of Young Farmers

4.1.1.6 Measure for Training

4.1.1.7 Measure for Early Retirement

4.1.1.8 Measure for Less Favoured Areas

4.1.1.9 Measure for Areas with Environmental Restrictions

4.1.1.10 Measures for Agri-Environment - Crops

4.1.1.11 Measures for Agri-Environment - Breeds in Danger of being Lost to Farming

4.1.1.12 Measure for Improving Processing and Marketing of Agricultural Products

4.1.1.13 Measure for Afforestation: Establishment Costs

4.1.1.14 Measure for Afforestation: Maintenance Costs and Income Loss

4.1.1.15 Other Forestry Measures

4.1.1.16 Measures for Promoting the Adaptation and Development of Rural Areas

4.1.1.17 Measures for Promoting the Adaptation and Development of Rural Areas - Land Improvement

4.1.1.18 Measures for Promoting the Adaptation and Development of Rural Areas - Reparcelling

4.1.1.19

4.1.1.20

4.1.1.21

4.1.1.22

4.1.1.23

4.1.1.24 Measures for Promoting the Adaptation and Development of Rural Areas - Agricultural Water Resources Management

4.1.1.25

4.1.1.26 Measures for Promoting the Adaptation and Development of Rural Areas - Encouragement for Tourist and Craft Activities

4.1.1.27

4.1.1.28

4.1.1.29 Measures for Promoting the Adaptation and Development of Rural Areas - Financial Engineering

4.1.2

4.1.2.1 SAPARD Expenditure by Measure for NMS-8, Bulgaria and Romania

4.1.2.2 SAPARD Expenditure by Country for NMS-8, Bulgaria and Romania

4.1.2.3 SAPARD Financial Allocation & Contribution in the Czech Republic

4.1.2.4 SAPARD Financial Allocation & Contribution in Estonia

4.1.2.5 SAPARD Financial Allocation & Contribution in Latvia

4.1.2.6 SAPARD Financial Allocation & Contribution in Lithuania

4.1.2.7 SAPARD Financial Allocation & Contribution in Hungary

4.1.2.8 SAPARD Financial Allocation & Contribution in Poland

4.1.2.9 SAPARD Financial Allocation & Contribution in Slovenia

4.1.2.10 SAPARD Financial Allocation & Contribution in Slovakia

4.1.2.11 SAPARD Financial Allocation & Contribution in Bulgaria

4.1.2.12 SAPARD Financial Allocation & Contribution in Romania

Section 4.2 Rural Development Budget Expenditures Monitoring4.2.1 Overview of Rural Development Financial Implementation4.2.1.1 General Overview of Rural Development Financial Implementation, programming period 2000-2006

4.2.1.1.1 Rural Development Financial Plan and Budget Expenditures by Type of Instrument, EU27

4.2.1.1.2 Rural Development Financial plan, Summary Table by Country, Type of Instrument and Year, EU27

4.2.1.1.3.i Rural Development Expenditure, Summary Table by Country, Type of Instrument and Year, EU27

4.2.1.1.3.ii Rural Development Expenditure, 2000-2005, by Type of Instrument, EU27

4.2.1.2 EAGGF - Guidance, programming period 2000-2006

4.2.1.2.1 EAGGF Guidance Financial Plan by Member State, EU15

4.2.1.2.2 EAGGF Guidance Expenditure by Member State, EU15

4.2.1.2.3 EAGGF-Guidance Financial Plan and Expenditure by Member State and Objective - EU15

4.2.1.2.4 EAGGF-Guidance Financial Plan and Expenditure by Member State and Objective - NMS10

4.2.1.2.5 EAGGF-Guidance and TRDI Financial Plan by Member State, NMS10

4.2.1.2.6 EAGGF-Guidance and TRDI Expenditure by Member State

4.2.1.3 EAGGF - Guarantee (EU15), programming period 2000-2006

4.2.1.3.1 EAGGF-Guarantee Financial Plan by Member State

4.2.1.3.2 EAGGF-Guarantee Expenditure by Member State

4.2.1.3.3 EAGGF-Guarantee Expenditure by Member State & by Measure

4.2.1.3.4 EAGGF-Guarantee Expenditure in EU-15 by Measure

4.2.1.4 SAPARD (NMS-8 & Accession Countries), programming period 2000-2006

4.2.1.4.1 SAPARD Financial Plan by Country

4.2.1.4.2 SAPARD Expenditure by Country

4.2.1.4.3 SAPARD Financial Plan by Measure - NMS-8

4.2.1.4.4 SAPARD - EU Contribution as committed by Country, by Measure, NMS-8

4.2.1.4.5 SAPARD Financial Plan and EU Contribution as committed by Country, by Measure - Accession Countries

4.2.2 Financial Implementation of EAGGF-Guarantee by Measure, EU15, 2000-20054.2.2.1 Measure for Investment in Agricultural Holdings

4.2.2.2 Measure for Setting-up of Young Farmers

4.2.2.3 Measure for Training

4.2.2.4 Measure for Early Retirement

4.2.2.5 Measure for Less Favoured Areas

4.2.2.6 Agri-Environmental Measures

4.2.2.7 Measure for improving Processing and Marketing of Agricultural Products

4.2.2.8 Forestry Measures

4.2.2.9 Measures for Encouragement of Adaptation / Development of Rural Areas

4.2.3 Financial Implementation of EAGGF-Guarantee by Member State, EU15, 2000-20054.2.3.1 Rural Development Expenditure in the EU-15

4.2.3.2 Rural Development Expenditure in Belgium

4.2.3.3 Rural Development Expenditure in Denmark

4.2.3.4 Rural Development Expenditure in Germany

4.2.3.5 Rural Development Expenditure in Greece

4.2.3.6 Rural Development Expenditure in Spain

4.2.3.7 Rural Development Expenditure in France

4.2.3.8 Rural Development Expenditure in Ireland

4.2.3.9 Rural Development Expenditure in Italy

4.2.3.10 Rural Development Expenditure in Luxembourg

4.2.3.11 Rural Development Expenditure in the Netherlands

4.2.3.12 Rural Development Expenditure in Austria

4.2.3.13 Rural Development Expenditure in Portugal

4.2.3.14 Rural Development Expenditure in Finland

4.2.3.15 Rural Development Expenditure in Sweden

4.2.3.16 Rural Development Expenditure in the United Kingdom

Measures for Promoting the Adaptation and Development of Rural Areas - Setting-up of Farm Relief and Farm ManagementServices

Measures for Promoting the Adaptation and Development of Rural Areas - Marketing of Quality Agricultural Products

Measures for Promoting the Adaptation and Development of Rural Areas - Basic Services for the Rural Economy and Population

Measures for Promoting the Adaptation and Development of Rural Areas - Renovation and Development of Villages andProtection and Conservation of the Rural Heritage

Special Accession Programme for Agriculture and Rural Development (SAPARD) MeasuresMonitoring, NMS-8 & Accession Countries, programming period 2000-2006

Measures for Promoting the Adaptation and Development of Rural Areas - Diversification of Agricultural Activities and ActivitiesClose to Agriculture to provide Multiple Activities or Alternative Incomes

Measures for Promoting the Adaptation and Development of Rural Areas - Development and Improvement of Infrastructureconnected with the Development of Agriculture

Measures for Promoting the Adaptation and Development of Rural Areas - Protection of the Environment in connection withagriculture, forestry and landscape conservation as well as the Improvement of Animal Welfare

Measures for Promoting the Adaptation and Development of Rural Areas - Restoring Agricultural Production Potential damaged byNatural Disasters and Introducing appropriate Prevention Instruments

323

SECTION 4.1 RURAL DEVELOPMENT MEASURES

MONITORING INDICATORS

324

325

SECTION 4.1.1 EAGGF GUARANTEE RURAL DEVELOPMENT

MEASURES MONITORING FOR EU-15

326

Tabl

e 4

.1.1

XX

XN

PX

XN

PX

XX

XN

PX

XX

123

XX

XN

PX

XN

PX

XN

PX

NP

XX

NP

105

XX

XN

PX

XN

PX

XX

XN

PX

XX

123

NP

NP

XX

XX

XX

NP

NP

NP

XN

PN

PN

P7

8

XX

XX

XX

XX

XX

XX

XX

X15

0

XN

PX

NP

NI

NP

NP

XN

PN

PN

IN

PN

PN

PN

P3

12

XX

XX

XX

XX

XX

XX

XX

X15

0

XN

IX

NP

XX

NP

XX

XX

NP

NP

XX

105

XX

XX

XX

XX

XX

XX

NP

NP

X13

2

XX

XN

PX

XN

PX

XX

XN

PX

NI

X11

4

NP

XX

NP

XX

NP

XN

IX

NP

NP

NP

NP

NP

69

NP

NP

XN

PX

XN

PX

NP

NP

NP

NP

XN

PX

69

XX

XN

PX

XN

PX

NI

XX

NP

NP

XX

105

XX

XN

PX

XN

PX

NI

XN

PN

PX

NP

X9

6

XX

XN

PX

XN

PX

NI

XX

NP

XX

X11

4

XX

XN

PX

XN

PX

NI

XX

NP

XX

X11

4

NP

NP

XN

PX

XN

PX

NP

XX

NP

NP

NP

X7

8

XX

XN

PX

XN

PX

NP

XX

NP

NP

XX

105

XX

XN

PX

XN

PX

NI

XN

PN

PX

XX

105

XX

XN

PX

XN

PX

NP

XX

NP

NP

XX

105

NP

NP

XN

PX

XN

PX

NP

NP

NP

NP

NP

NP

NP

411

NP

NP

NI

NP

NP

XN

PX

NP

XN

PN

PN

PN

PN

P3

12

Not

e: F

or th

ose

Mem

ber S

tate

s w

ith re

gion

alis

ed p

rogr

amm

ing,

the

info

rmat

ion

is c

onso

lidat

ed fr

om a

ll pr

ogra

mm

es in

that

Mem

ber S

tate

.

MS

with

mor

e th

an o

ne R

DP

; dat

a co

nsol

idat

ed fr

om a

ll pr

ogra

mm

es in

MS

Com

puls

ory

mea

sure

Sou

rce:

Eur

opea

n C

omm

isio

n, D

irect

orat

e-G

ener

al fo

r agr

icul

ture

, rur

al d

evel

opm

ent m

onito

ring

data

sys

tem

CA

P-ID

IM

DE

DK

t. P

rote

ctio

n of

the

envi

ronm

ent i

n co

nnec

tion

with

agr

icul

ture

, for

estry

and

land

scap

e co

nser

vatio

n as

wel

l as

the

impr

ovem

ent o

f an

imal

wel

fare

(C

h. IX

, art.

33)

.

q. A

gric

ultu

ral w

ater

reso

urce

s m

anag

emen

t (C

h. IX

, art.

33)

.

s. E

ncou

rage

men

t for

tour

ist a

nd c

raft

activ

ities

(Ch.

IX, a

rt. 3

3).

o. R

enov

atio

n an

d de

velo

pmen

t of v

illag

es

and

prot

ectio

n an

d co

nser

vatio

n of

the

rura

l he

ritag

e (C

h. IX

, art.

33)

.

r. D

evel

opm

ent a

nd im

prov

emen

t of

infra

stru

ctur

e co

nnec

ted

with

the

deve

lopm

ent

of a

gric

ultu

re (C

h. IX

, art.

33)

.

v. F

inan

cial

eng

inee

ring

(Ch.

IX, a

rt. 3

3).

a. In

vest

men

t in

agric

ultu

ral h

oldi

ngs

(Ch.

I,

art.

4-7)

.

b. S

ettin

g-up

of y

oung

farm

ers

(Ch.

II, a

rt. 8

).

c. T

rain

ing

(Ch.

III,

art.

9).

d. E

arly

retir

emen

t (C

h. IV

, art.

10-

12).

e.1

Less

-favo

ured

are

as (C

h. V

, art.

13-

21).

f. A

gri-e

nviro

nmen

t (C

h. V

I, ar

t. 22

-24)

.

g. Im

prov

ing

proc

essi

ng a

nd m

arke

ting

of

agric

ultu

ral p

rodu

cts

(Ch.

VII,

art.

25-

28).

h. A

ffore

stat

ion

of a

gric

ultu

ral l

and

and

i. O

ther

af

fore

stat

ion

(Ch.

VIII

, art.

31,

30)

.

u. R

esto

ring

agric

ultu

ral p

rodu

ctio

n po

tent

ial

dam

aged

by

natu

ral d

isas

ters

and

intro

duci

ng

appr

opria

te p

reve

ntio

n in

stru

men

ts (C

h. IX

, ar

t. 33

).

No.

of M

S

impl

emen

ting

No.

of M

S n

ot

impl

emen

ting

PT

SE

UK

NL

IEE

SE

L

p. D

iver

sific

atio

n of

agr

icul

tura

l act

iviti

es a

nd

activ

ities

clo

se to

agr

icul

ture

to p

rovi

de

mul

tiple

act

iviti

es o

r alte

rnat

ive

inco

me

(Ch.

IX

, art.

33)

.

j. La

nd im

prov

emen

t and

k. R

epar

celli

ng (C

h.

IX, a

rt. 3

3).

l.Set

ting-

up o

f far

m re

lief a

nd fa

rm

man

agem

ent s

ervi

ces

(Ch.

IX, a

rt. 3

3).

m. M

arke

ting

of q

ualit

y ag

ricul

tura

l pro

duct

s (C

h. IX

, art.

33)

.

n. B

asic

ser

vice

s fo

r the

rura

l eco

nom

y an

d po

pula

tion

(Ch.

IX, a

rt. 3

3).

Ove

rvie

w o

f Rur

al D

evel

opm

ent M

easu

res

Impl

emen

ted

by M

embe

r Sta

tes

in 2

003

(EAG

GF-

Gua

rant

ee fi

nanc

ing

only

).

e.2

Are

as w

ith e

nviro

nmen

tal r

estri

ctio

ns (C

h.

V, a

rt. 1

6).

i. O

ther

fore

stry

mea

sure

s (C

h. V

III, a

rt. 3

0,

32).

ITLU

AT

BE

FIFR