TANZANIA STATISTICAL MASTER PLAN 2009/10 - 2013/14 · TANZANIA STATISTICAL MASTER PLAN 2009/10 -...

TANZANIA STATISTICAL PLAN 1

National Bureau of StatisticsMinistry of Finance and Economic Affairs

Dar es Salaam

August, 2010

Offi ce of Chief Government StatisticianMinistry of Finance and Economic Affairs,

Zanzibar

The United Republic of Tanzania

TANZANIA STATISTICAL MASTER PLAN2009/10 - 2013/14

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Table of Contents

Acronyms ................................................................................................................................................................................... 4

Foreword ..................................................................................................................................................................................... 6

Acknowledgements .............................................................................................................................................................. 8

Executive Summary ............................................................................................................................................................ 10

Chapter One - Introduction ........................................................................................................................................... 151. Background Information .................................................................................................................................... 151.1 Overview ...................................................................................................................................................................... 151.2 The Tanzania National Statistical System ......................................................................................................... 151.3 Institutional Frameworks for Statistics in Tanzania Mainland ................................................................. 161.4 Institutional Frameworks for Statistics in Tanzania Zanzibar.................................................................... 171.5 The Rationale .............................................................................................................................................................. 181.6 Method Used in Developing the TSMP ...........................................................................................................201.7 Organisational Structure for Implementing TSMP ......................................................................................201.8 Contact Addresses ..................................................................................................................................................... 211.9 Layout of the Document ......................................................................................................................................... 21

Chapter Two - Situation analysis .................................................................................................................................222. Overview .....................................................................................................................................................................222.1 Strengths, Weaknesses, Opportunities and Challenges ............................................................................222.1.1 Strengths ........................................................................................................................................................................222.1.2 Weaknesses ...................................................................................................................................................................232.1.3 Opportunities ..............................................................................................................................................................272.1.4 Challenges .....................................................................................................................................................................272.2 Roles of Various Stakeholders in the TSMP ....................................................................................................27

Chapter Three - Vision and objectives ......................................................................................................................293. Overview ......................................................................................................................................................................293.1 Vision Statement .......................................................................................................................................................293.1.1 The Vision ......................................................................................................................................................................293.1.2 The overall development objective of TSMP .................................................................................................293.2 Components of TSMP ............................................................................................................................................293.3 Objectives, Strategies and Targets .......................................................................................................................30

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Table of Contents

Chapter Four - Management arrangements, monitoring and evaluation of outcomes and results................................................................................................................................................................................384.1 Management Arrangements .................................................................................................................................384.2 Monitoring and Evaluation of Outcomes and Results ...............................................................................394.3 Risks .................................................................................................................................................................................40

Chapter Five - The proposed budget and sustainability ................................................................................. 415.1 Proposed Budget ........................................................................................................................................................ 415.2 Sustainability .................................................................................................................................................................43

Annex I: .....................................................................................................................................................................................44TSMP Logical Frame Work .................................................................................................................................................44

Annex II: ....................................................................................................................................................................................47TSMP Coordination Structure and Coordination Team .........................................................................................47TSMP COORDINATION STRUCTURE .........................................................................................................................47TSMP COORDINATION TEAM ......................................................................................................................................47

Annex III: .................................................................................................................................................................................48Functions of National Bureau of Statistics .................................................................................................................48

Annex IV: .................................................................................................................................................................................49Implementation Plan- Activities, Objectives, Budget and Performance Indicators ..................................49Table 1: Activities, Objective, Budget and Performance Indicators for Tanzania Mainland ....................49Table 2: Activities, Objective, Budget and Performance Indicators for Tanzania Zanzibar .....................65

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Acronyms

AIDS Acquired Immune Deficiency Syndrome

BOT Bank of Tanzania

CPI Consumer Price Index

CRE Central Register of Establishments

CWIQ Core Welfare Indicators Questionnaire

EAC East Africa Community

EASTC Eastern Africa Statistical Training Centre

e governance Electronic Governance

DfID Department for International Development (UK)

DPs Development Partners

DG Director General

DHS Demographic and Health Survey

GDDS General Data Dissemination System

GDP Gross Domestic Product

GIS Geographical Information System

GOT Government of Tanzania

HIV Human Immunodeficiency Virus

ICT Information Communication Technology

LGMD Lobula Giant Movement Detecting

LFS Labour Force Survey

JAST Joint Assistance Strategy for Tanzania

LGAs Local Government Authorities

MAPS Marrakech Action Plan for Statistics

MBA Masters of Business Administration

M&E Monitoring and Evaluation

MDAs Ministries, Departments and Agencies

MDGs Millennium Development Goals

MIS Management Information System

MKUKUTA Mkakati wa Kukuza Uchumi na Kupunguza Umaskini Tanzania

MKUZA Mkakati wa Kupunguza Umasikini Zanzibar

MSC Master of Science

NBS National Bureau of Statistics

NMS National Master Sample

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Acronyms

NGOs Non Governmental Organizations

NPS National Panel Survey

NSDI National Spatial Data Infrastructure

NSGRP National Strategy for Growth and Reduction of Poverty

NSOs National Statistical Offices

NSS National Statistical System

OCGS Office of the Chief Government Statistician

PARIS21 Partnership in Statistics for Development in the 21st Century

PIM Production Index of Manufacturing

PMO-RALG Prime Ministers Office- Regional Authorities and Local Government

PPI Producer Price Index

PRSP Poverty Reduction Strategy Paper

PRSs Poverty Reduction Strategies

PSRP Public Sector Reform Programme

RDS Routine Data System

RS Regional Secretariat

SADC Southern Africa Development Cooperation

SSPS Sector Strategic Plan for Statistics

SUT Supply and Use Table

SWOC Strength, Weaknesses, Opportunities and Challenges

TFSCB Trust Fund for Statistical Capacity Building

TISD Tanzania Integrated Statistical Database

TRA Tanzania Revenue Authority

TSED Tanzania Social Economic Database

TSMP Tanzania Statistical Master Plan

TWGs Technical Working Groups

UN United Nations

URT United Republic of Tanzania

USD United States Dollar

WB World Bank

ZPRP Zanzibar Poverty Reduction Plan

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TANZANIA STATISTICAL PLAN6

The Government of the United Republic of

Tanzania like most of the governments in the

world to-day, is pursuing national development

programs using results-based agenda, which

includes wealth creation and poverty reduction

strategies (e.g. National Strategy for Growth

and Reduction of Poverty (NSGRP) commonly

known as MKUKUTA for Tanzania Mainland

and Zanzibar Poverty Reduction Plan ZPRP

(MKUZA) for Tanzania Zanzibar), Millennium

Development Goals (MDGs) and other national

and sectoral development frameworks. The

results-based agenda requires clear, unambiguous

and systematic measurement and reporting on

achievement of development results because,

as the dictum goes, “If you can’t measure it, you

can’t manage it, and if you can’t manage it, you

can’t observe it.’’ There is also increased focus

on evidence-based policy and decision-making

which requires that public policy decisions are

informed by carefully and rigorously analysed

credible and quality statistics.

The national results-based agenda and the focus on evidence-based policy and decision-making have

increased demand for good statistical information. Indeed, it is now nationally and internationally

agreed that a good statistical information system is a necessary infrastructure and part of the enabling

environment for national and global development initiatives. It constitutes an essential element

in improving the ability of government to formulate appropriate policies, manage the economic

and social development process, and monitor improvements in the living standards of the people.

Furthermore, other stakeholders and organizations outside government (civil society organizations,

research institutions, development partners, etc) need and use statistical information for their own

planning and decision-making as well as for monitoring purposes. Statistical information is, therefore,

an essential ingredient in the management of a modern society and its institutions.

Foreword

Hon. Mustafa Haidi Mkulo (MP)

Minister of Finance

and Economic Affairs

Dar-es-Salaam, Tanzania

June, 2010

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However, the increased demand for statistical information is faced by some constraints including;

the data gaps on socio- economic indicators required for monitoring the achievement of results of

development policies and initiatives; insufficient statistical coordination in the country, low awareness

of use of statistics among decision makers and low priority given to statistics. As a way forward,

Tanzania has prepared the National Plan for Development of Statistics, known as Tanzania Statistical

Master Plan (TSMP) that will ensure improved coordination, raise statistical awareness and production

of good statistics in the country.

The National Bureau of Statistics in collaboration with the Office of the Chief Government Statistician

Zanzibar are supervising the TSMP development process on behalf of the Government. TSMP

aims at providing strategic directions and appropriate mechanisms for guiding and accelerating the

development of sustainable statistical capacity in the country.

Last but not least, an important objective of the TSMP is to bring together various stakeholders; data

producers and data users within the National Statistical System. The TSMP is not static: it is expected

to be a dynamic product that will be reviewed from time to time, and whose implementation will

be monitored and evaluated on quarterly, semi annually, annually midterm and end of the program

period as part of a statistics sector review.

Foreword

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On behalf of the National Bureau of Statistics

(NBS) and the Offi ce of the Chief Government

Statistician (OCGS) in Zanzibar, I would like to

thank all persons and institutions that were

involved in preparing this document, which

fulfi ls one of the most important activities of the

Tanzania Statistical Master Plan. My gratitude

goes to the Government of Tanzania, particularly

the former Ministry of Planning, Economy

and Empowerment, Ministry of Finance and

Economic Affairs for fi nancial support through

MKUKUTA Monitoring System. Thanks are also

due to Development Partners, namely Mr. Hans

Hoogeveen (World Bank), Tim Harris (DFID),

AfDB and Trust Fund for Statistical Development

(TFSCB) for their contribution and fi nancial

support to this assignment.

Special thanks are due to the International Consultants, Prof. Ben Kiregyera from the African Centre

of Statistics - UNECA and Prof. Oladejo O. Ajayi, from the African Development Bank, who led the

whole process of preparing this document, assisted by National Consultants from Daima Associates

Limited of Dar-es-Salaam led by the eminent academician, Prof. Samuel Wangwe and assisted by Dr

Samuel Nyantahe.

Special thanks are also due to the National Bureau of Statistics’ TSMP design team comprising Mr C.P.B

Mkai (retired NBS DG), Mrs Radegunda Maro, Ahmed Makbel, Mathias Masuka, Wilfred Mwingira

, Philemon Mahimbo, Ibrahim S.M. Masanja , Sango Simba and Joy E. Sawe for their tireless efforts,

and contributions in the preparation of this document. My acknowledgement is also extended to

staff of Chief Government Statistician Tanzania Zanzibar namely Mr Hafi dh M Rajab (GS) for his

Coordination role, Mashavu Omari, Amour Bakari, Mbwana O Mbwana, Mwanaisha Makarani, and

Guest Charumbira, a long term consultant for their valuable contributions.

Furthermore, my appreciation goes to all Supervisors and Sector Strategic Committee Members

who were involved in preparing the Sector Strategic Plans for Statistics (SSPS) which have formed a

Acknowledgements

Albina A. Chuwa

Director GeneralNational Bureau of StatisticsJune, 2010

Albina A. Chuwa

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significant component of this document. Special thanks are also due to Dr V. Muba (EASTC) for his

positive contributions, Rodrick Kiwelu (RDS Chairman and Director, PMO-RALG LGMD), Dr Cyprian

Mpemba (Consultant, PMO-RALG), Emmanuel Mahinga (Consultant PMO-RALG) and Yasinta Tabu

(PMO-RALG).

It is impossible to thank everybody who has contributed in one way or another, but I do recognize the

valuable, moral and material support extended to us that led the completion of this document.

Acknowledgements

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The Government of Tanzania has been implementing structural and institutional reforms which aim

at improving socio-economic development. Ministries, Departments and Agencies (MDAs), Local

Authorities and other stakeholders interventions as outlined in national development frameworks

in order to improve livelihood of the people. In order to measure performance and results of such

interventions, quality statistics are required by all stakeholders involved in all sectors in the development

process. Furthermore, reliable statistics are required for planning, budgeting and reporting the

outcome of the interventions that aims at reducing poverty and improving welfare of the people.

Reliable statistics are also necessary for informed decision making at various levels.

The National Statistical System (NSS) is made up of data collectors and users comprising of Ministries,

Departments and Agencies, Research and Training Institutions as well as General Public in general.

Information is usually produced through censuses, surveys and routine data systems from households,

establishments and institutions. The importance of statistics can not be over emphasised as it forms

the basis for evidence based policy making including the need to focus development efforts on

measurable results by various stakeholders. The Tanzania Statistical Master Plan (TSMP) is a document

which provides a comprehensive framework aiming at strengthening the NSS through Institutional

Reforms, Human Resource and Capacity Development, Development of Statistical Infrastructure,

Data Development and Dissemination and Physical infrastructure and Equipment.

The demand for statistics as a basis for measuring and monitoring development goals, targets and

indicators set out in national development frameworks and internationally endorsed Millennium

Development Goals (MDGs) calls for the strengthening of NSS. These facts have compelled the

Government of United Republic of Tanzania through National Bureau of Statistics (NBS) and Office

of Chief Government Statistician Zanzibar (GS) to develop this strategy which will ensure that quality

statistics for decision makers are available in an objective, coordinated, timely and cost effective

manner.

The process of developing the TSMP started in October 2006. An assessment of the current NSS was

conducted in 2007 when twenty two (22) Ministries, Departments and Agencies in Tanzania Mainland

and fifteen (15) MDAs in Tanzania Zanzibar were assessed. This assessment focused on the current

situation of NSS including the existence of Statistics Units/MIS/departments, manpower, equipment,

software, routine products and surveys, institutional legal/policy, data sources, management,

dissemination and coordination with NBS and GS. The findings have provided inputs to the TSMP

strategic document. The assessment found that 56 percent of Regional

Executive Summary

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Secretariats had no statistics units. During the comprehensive consultations with stakeholders, overall

developmental objective, vision and mission were developed as outlined below.

The overall developmental objective of the TSMP is to strengthen the NSS in Tanzania so as to enable

it to produce quality statistics for decision makers in an objective, timely and cost effective manner.

TSMP Vision is “to be an efficient and well-integrated National Statistical System that produces

quality statistics for planners, researchers and decision makers in an objective, timely and cost-effective

manner”.

TSMP will be implemented for five years (2009/10 – 2013/14) and it will focus on five substantive

components:

a) Institutional Development and Legal Reforms: At the centre of NSS there are various

institutions namely NBS, OCGS, MDAS and LGAs. The Institutions’ mandates are stipulated

in respective Acts and instruments of establishment. In order to have a functional NSS,

specific actions are proposed in order to achieve the intermediate outcomes of ensuring that

the official statistics production and service delivery are effectively coordinated under a well

structured NBS and OCGS. This will entails establishing a well structured and autonomous

NBS and GS due to their coordinating role in regard to promoting statistical professionalism,

research and awareness. Equally important is the review of statistical Act by incorporating

appropriate international best practice so as to guarantee independence of the system and

respect for statistical confidentiality across the NSS.

b) Human Resource Development: Development of human resource through skills

upgrading, knowledge enhancement and improved incentives is one of the key components

in the implementation of TSMP. This will enable fulfilment of the intermediate outcomes

of enhanced working environment and capacity for HR to produce quality statistics. It is

therefore envisaged that long, short as well as professional courses will be conducted in order

build capacity and fill in identified gaps during the assessment across NSS. Equally various soft

skills needed for staff at NBS, GS and MDAs will be developed during the implementation of

TSMP. Training needs assessment will be conducted and training programs will be developed

to enhance staff capacities in the NSS to meet the needs for producing quality statistics.

Executive Summary

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c) Development of Statistical Infrastructure: NSS needs to be supported by adequate statistical

infrastructure based on well defined concepts, definitions and international classifications

and standards. Due to the diverse nature of data producers within the NSS, the production

of official statistics is prone to errors amid lack or inadequate use of well defined standards.

Improvement of statistical infrastructure will ensure not only data production within NSS is

improved and harmonised but also the improvement in the usage of survey and census data.

The use of modern technologies in particular Geographical Information Systems (GIS) and

spatial data bring opportunities for improved evidence based planning and decision making.

Therefore this objective aims at improving sampling frames for establishment and household

based surveys, harmonised statistical concept and definitions in line with international

standards and classification schemes, business registers as well as development and effective

usage of spatial data systems.

d) Data Development and Dissemination: The importance of population census can not be

overemphasised as it provides a baseline for key demographic and social variables. A number

of surveys are also important as they provide key information on public service delivery as well

as basic data needed for macro-economic management, preparation of poverty reduction

programs and promotion of private sector development. Improvement of the census,

economic and social surveys is a prerequisite to measuring results related to fulfilment of

national development frameworks (MKUKUTA/MKUZA) as well as international obligations

(MDGs). Of equal importance is the production of routine and administrative data within

NSS which provides social economic data for continuous monitoring of results and early

warning for decision makers at various levels. Key factors in providing right environment for

data development and dissemination will be strengthened under this objective to address the

intermediate outcomes of improved quality and effective use of statistics as well as access to

information of public service delivery.

e) Physical Infrastructure and Equipment Development: The implementation of TSMP will

involve expanded activities in all areas of statistical production. Currently NBS and OCGS

facilities do not provide conducive working environment for statistical production. There

is a need for space to house statistical activities anticipated during the implementation

of TSMP. Also, transportation facilities are inadequate for conducting activities related

to census and surveys. Equally, statistical units currently available in MDAs have reported

significant gap in ICT equipment to carry out their routine data production and management.

Executive Summary

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Dissemination of statistical products through planned resource centres is envisaged during

the implementation of this plan. For attainment of improved working condition, routine data

systems and enhanced accessibility of information through ICT and e-government outcomes,

this objective focuses on improvement of physical infrastructure across NSS while equipping

NBS/OCGS, MDAs and EASTC with appropriate ICT infrastructure and software for delivery

of routine data systems and e-government.

The proposed programme will be mainstreamed into the Government structures through Medium

Term Expenditure Frame (MTEF) of the MDAs with NBS and OCGS playing a coordinating role and

providing technical guidance to the program implementation across NSS. This will ensure sustainability

and integration of knowledge generated within NSS during the implementation of TSMP. Since this

program will be implemented across NSS, a comprehensive strategy for Communication Information

and Public Awareness (CIPA) will be designed, institutionalised and operationalised during the

implementation of TSMP.

The estimated budget for TSMP activities is USD 64.4 million of which Tanzania Mainland will use

USD 55.9 million and Tanzania Zanzibar USD 8.5 million. Out of the total budget, USD 30 million is

expected to be soft loan from the World Bank (WB) through Statistical Capacity Building (STATCAP),

3.5 million Pound Sterling as a grant from Department for International Development (DFID) and the

funding gap will be sought from other development partners keen to support TSMP as a commitment

within implementation of PARIS21 declaration to support statistical capacity building. On the other

hand the GOT will contribute about Tanzania shillings 6.0 billion through direct costs and indirect

costs (such as salaries, utility costs and costs for acquiring plots)

The strategic outcome of the implementation of the TSMP will be measured using the following

indicators:

1. Number of users satisfied with official statistics increased by 50 percent

2. Twenty two (22) MDAs have functional statistic unit

3. Number of MDAs using official statistics increased by 50 percent

4. Number of data producers conforming to acceptable statistical standards increase by 80

percent

5. Number of Geographical Information System tools users increase by 50 percent

6. Number of survey response rates increase to acceptable standard (80 percent and above)

Executive Summary

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7. Reduction in time lag between data collection and dissemination

8. Statistical outputs are released within the time limits and with frequency meeting General

Data Dissemination System (GDDS) requirements.

Baseline survey to establish initial targets for these indicators will be conducted during the first year

and monitored during the implementation of TSMP.

Executive Summary

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Chapter One

Box 1: Components of National Statistical System

Introduction

1. Background Information

1.1 Overview

The Government of Tanzania is implementing Structural and Institutional Reforms which aim at

facilitating socio-economic development. Ministries, Departments and Agencies (MDAs), Local

Authorities and other stakeholders are implementing interventions outlined in national development

frameworks in order to improve livelihood of the people. In order to measure performance and results

of such interventions, quality statistics are required by all those involved in the development process.

Furthermore, reliable statistics are required for planning, budgeting and reporting of the outcomes of

the interventions that aims at reducing poverty and improving welfare of the people.

1.2 The Tanzania National Statistical System

Tanzania’s National Statistical System (NSS) covers data producers, providers, suppliers and users as well

as statistical training institutions and centres in Tanzania Mainland and Tanzania Zanzibar. The NSS has

many different actors. Local Government Authorities collect and process data from primary providers

such as villages, wards, health facilities, agricultural extension officers or schools. Various ministries,

agencies and institutions also collect data such primary data providers and produce statistics as part

of their administrative work. Much of this information is used as a basis for policy and programme

Data users Government, MDAs, Researchers, Private Sectors, NGOs, Development Partners, International Community/Organizations, Media and the Public in general

Data Collectors NBS, OCGS, MDAs, Public Sector, NGOs, Researchers and Others

Data producers Households, Establishments, Institutions, LGAs and others

Research/Training Institutions Research Centres, Universities and Others

formulation; planning and monitoring; and research and analysis. The central institution in Tanzania

Mainland in the NSS is the National Bureau of Statistics while in Tanzania Zanzibar it is the Office

of the Chief Government Statistician. Other key MDAs that collect economic, social, demographic

and environment statistics are the Ministries of Local Government; Agriculture, Food Security and

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Chapter One

Co-operatives; Livestock and Fisheries Development; Finance and Economic Affairs; Education and

Vocational Training; Higher Education, Science and Technology; of Labour, Employment and Youth

Development; Water and Irrigation; and the Ministry of Health and Social Welfare. Key agencies

and departments include: the Registration, Insolvency and Trusteeship Agency, the Bank of Tanzania,

the Tanzania Meteorological Agency, the Tanzania Revenue Authority and the Tanzania Police Force.

Other ministries and institutions collect, use and provide statistical information form part of the NSS.

1.3 Institutional Frameworks for Statistics in Tanzania Mainland

Before independence, statistics on Tanganyika were produced under the authority of the Statistics

Ordinance 1949, Chapter 443. The Ordinance also provided for the compilation of statistics

relating to in Kenya and Uganda. Under the Ordinance, the East African Statistical Department was

empowered to organize a coordinated scheme of social and economic statistics relating to the three

countries.

After Independence in 1961, the authority to collect, compile and publish statistics was derived from

the Statistical Ordinance 1961. Under this Ordinance, the President was vested with powers to appoint

the Chief Economist who would be responsible for compilation of statistics relating to Tanganyika.

The NBS was officially launched as an executive Agency on 26th March 1999 under the Executive

Agencies Act No 30 of 1997. The Act was used to transform the various departments into semi-

autonomous government executive agencies so as to enhance efficiency and effectiveness in the

delivery of services to the public. The NBS was officially established by Planning Commission through

The Executive Agencies (The National Bureau of Statistics) Establishment Order 2000 (Government

Notice No: 125 of 7/4/2000). The transformation of the National Statistical Office from a Ministerial

Department to an Executive Agency, led to the enactment of the Statistics Act No. 1 of 2002 which

repealed the Statistics Ordinance 1961.

Under the Statistics Act No 1 of 2002, NBS is mandated to:

i. collect, compile, analyse and disseminate statistics and related information;

ii. establish statistical standards and ensure their use by all producers of official statistics;

iii. coordinate statistical activities in the country; and

iv. provide statistical services and professional assistance to official bodies and the public at large.

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Chapter One

1.4 Institutional Frameworks for Statistics in Tanzania Zanzibar

The provision of official statistics in Tanzania Zanzibar started in 1979 with the establishment of

the Department of Statistics under the Statistics Act of 1979. Before 1979, statistical functions in

Government were handled by a Statistics Unit in the Ministry of Planning. The need to establish the

Department of Statistics was realized during the preparation of the first three-year (1979-81) Plan

for Economic and Social Development of Zanzibar. It was felt then that the unit would not have the

capacity to produce statistical data and information required to inform and underpin the development

plan.

In 1999, the Statistics Act was revised to make the provision of statistical data and information more

effective and responsive to user needs. The Office of the Chief Government Statistician (OCGS) was

established as an autonomous body by the Statistics Act No. 9 of 1999 under the Ministry of Finance

and Economic Affairs, Zanzibar.

The Statistics Act No 9 of 1999 mandates the OCGS, among others, to:

i. collect, compile, analyse, abstract and publish statistical information in all institutions in

Zanzibar;

ii. coordinate the activities of various statistical units within different institutions;

iii. coordinate and supervise the preparation of basic statistical information relating to social and

economic activities;

iv. organise and control research activities in Zanzibar conducted by various sectors and to issue

permits thereof; and

v. Organise schemes and benefits for the statisticians in the country, including statistical

knowledge.

Under the current Statistics Acts (2002 NBS and 1999 for OCGS) both institutions have made good

progress in carrying out national census and surveys. These include the Population and Housing Census

2002, Household Budget Surveys of 2007 and 2006 for NBS and OCGS respectively, Integrated

Labour Force Survey 2007, Demographic and Health Surveys, Business Surveys 2003-2005 and 2007-

2008 and Agricultural Sample Census 2003/04.

Statistics, such as Millennium Development Goals (MDG) indicators and Gross Domestic Product

(GDP) figures, are calculated at the national level (United Republic of Tanzania), regional (e.g. SADC/

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Chapter One

EAC) and international (e.g. United Nations). For this reason, and considering the fact that the

Statistics Act No. 1 of 2002 of the United Republic of Tanzania recognized and mandated the NBS to

act as a contact point for international organizations and foreign institutions in need of statistics or

on statistical matters relating to the United Republic of Tanzania (The Statistics Act, 2002 section 5

(I) (c), (d), (f), (g), (h) and (i) functions of the Bureau1), the National Bureau of Statistics, therefore,

is mandated to ensure that statistics collected and disseminated belong to both parts of the United

Republic of Tanzania.

The Statistics Act, however, requires that before NBS performs functions which extend to Tanzania

Zanzibar, it should consult with the OCGS.

1.5 The Rationale

The socio- economic reforms which where undertaken by the Government in the past decade have

created scenarios that make it difficult for NBS to play its pivotal role in the NSS. They have created

a situation whereby some institutions such as the Bank of Tanzania (BOT), the Tanzania Revenue

Authority (TRA) and MDAs continue to produce official statistics related to their operations that are

not subjected to the standards and methodologies as required by the Statistics Act.

It is also worth noting that due to structural reforms, the role of the private sector in the economy is

increasing. The increase of this sector affects the statistical production. One of the effects is that the

statistics that were being produced by the Government through its extensive parastatal system are no

longer available.

Equally, inadequate coordination of statistical activities as required by the Act has led to weaknesses

in statistical capacity; leading to data gaps on social and economic indicators required for monitoring

the achievement of results on development policies and initiatives as required by the international

development agenda outlined in the Marrakech Action Plan for Statistics 2004.

Moreover, the late 1990s and the early part of the 21st century have been marked by the emergence

of a more challenging environment for statistics. There is now greater emphasis, both by developing

countries including Tanzania and international community, on evidence-based policy-making including

1. See Annex III: Functions of National Bureau of Statistics

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Chapter One

the need to focus development efforts on measurable results. Furthermore, there is stronger demand

for statistics to provide a basis for measuring and monitoring the development goals, targets, and

indicators set out in countries’ National Strategy for Growth and Reduction of Poverty (NSGRP) and

in the internationally endorsed Millennium Development Goals (MDGs).

Despite stronger demand for statistics, resources for statistical development have not expanded

sufficiently to meet those increased demands. Careful decisions have to be made about how best to

develop statistics most effectively and efficiently across the whole National Statistical System (NSS).

Therefore, a strategic, prioritised and realistic approach is needed in the development of statistics plan

and its implementation.

In this regard, the Government of Tanzania, through the National Bureau of Statistics (NBS) and the

Office of the Chief Government Statistician (OCGS) of Tanzania Zanzibar, realised the importance of

having a National Statistical System in the country that addresses the above shortfalls and measures

to be undertaken. These initiatives are in line with global initiatives such as the Marrakech Action Plan

for Statistics (MAPS) and the Partnership in Statistics for Development in 21st Century (PARIS21) that

have recognized statistical information as a priority of the results agenda .

To this end, the Tanzania Statistical Master Plan (TSMP) aims at strengthening the National Statistical

System so that quality statistics for decision makers are available in an objective, coordinated, timely

and cost effective manner. It focuses on NSS Institutional Reforms, Human Resource Development,

Development of Statistical Infrastructure, Data Development and Dissemination and Physical

Infrastructure and Equipment.

TSMP is a comprehensive framework advocating for statistics, assessing and meeting user needs,

building capacity at all levels (with added focus on sectors), enhancing data quality, as well as mobilizing

and leveraging resources (both national and international). Therefore, the broad objective of the

strategic plan is to coordinate, harmonise and effectively ensure that statistics produced are timely

available and easily accessible within the entire NSS.

The key results expected from the implementation of TSMP includes: Revised Statistical Act, Human

Capacity Development, Statistical Standards, Methodologies, and Concepts adopted/adapted and

Enhancement of Physical infrastructure and working tools.

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Chapter One

1.6 Method Used in Developing the TSMP

Tanzania Statistical Master Plan has been developed after extensive consultations with stakeholders,

including the users and producers of statistics in order to assess the Strength, Weaknesses, Opportunities

and Challenges (SWOC) facing the National Statistical Systems in Tanzania.

A Statistical Needs Assessment was conducted using standardized questionnaires administered to

twenty two (22) MDAs in Tanzania Mainland and fifteen (15) MDAs in Tanzania Zanzibar2. The

MDAs were assessed in terms of their institutional organisation and capacity to deliver the required

statistical products and services. The assessment checked the existence of Statistics/Management

Information Systems (MIS) departments, manpower, equipment, software, routine products and

surveys, institutional legal/policy, data sources, management and dissemination, and the status of data

systems in the assessed MDAs. Further, the assessment aimed at establishing whether there was definite

coordination between MDAs and NBS, including the MKUKUTA Poverty Monitoring systems. After

the assessment, The National Consultants guided the MDAs through a process of developing Sector

Strategic Plans for Statistics (SSPS) that would address shortfalls identified during the assessment and

position the MDAs strategically for implementing TSMP3. The TSMP aims at addressing weaknesses

and challenges identified in the consultation process across the entire NSS.

1.7 Organisational Structure for Implementing TSMP

The TSMP organisational structure will be comprised of four managerial levels mainstreamed within

the NBS and OCGS organograms4. The first level is the Statistical Advisory Board. The second

level is made up of the Chief Executives of the NBS and OCGS while the third level is Technical

Committee and lastly the fourth level is made up of the TSMP Coordination team which comprises

four Sectoral Technical Working Groups (TWGS). Members of the Sectoral committee will be

drawn from stakeholders in the NSS commensurate with their technical expertise. This arrangement

will provide a forum for regular stakeholder’s discussions, interactions and technical assistance in

implementing Sector Strategic Plans for Statistics. Since this program will be implemented across

NSS, a comprehensive strategy for Communication Information and Public Awareness (CIPA) will be

designed, institutionalised and operationalised during the implementation of TSMP.

2. Assessment Report of the Current Tanzania Statistical System - June, 2007

3. The SSPS will be mainstreamed in respective MDAs

4. See Annex II: TSMP Coordination Structure and Coordination Team

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Chapter One

1.8 Contact Addresses

The NBS Headquarters is based in Dar es Salaam, while OCGS headquarters is based in Zanzibar.

Contact addresses for NBS and OCGS are:

The Director General, The Chief Government Statistician,

National Bureau of Statistics, Office of Chief Government Statistician,

Kivukoni Front, Mwanakwerekwe,

P.O Box 796, Dar es Salaam. P.O. Box 2321, Zanzibar.

Telephone +255 22 2122722/3/4, Telephone +255 24 2231869,

Fax +255 22 2130852, Fax +255 24 2231742,

e-mail: [email protected] e-mail: [email protected]

website: www.nbs.go.tz website: www.ocgs.go.tz

1.9 Layout of the Document

This document sets out the Plan for the National Statistics System (NSS) for the period 2009/10 –

2013/14. It is divided into five chapters; Chapter One provides Background Information; Chapter Two

gives the Situation Analysis while Chapter Three deals with the TSMP’s Vision and Objectives with

their Strategies and Targets. Chapter Four provides Logical Framework of the strategy, and Chapter

Five is a summary the proposed budget.

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Chapter Two

Situation analysis

2. Overview

This section gives a snapshot of the Strengths, Weaknesses, Opportunities and Challenges (SWOC)

facing the National Statistical System in Tanzania as derived from the assessment of the current

situation5. However, the assessment of NSS by MDAs indicated numerous challenges which are

addressed by Sector Strategic Plans for Statistics (SSPS) developed for each MDA. These SSPS will be

used to enhance the statistical information during the implementation of the programme.

2.1 Strengths, Weaknesses, Opportunities and Challenges

2.1.1 Strengths

The current National Statistical System has the following strengths:

i. Increased awareness of the importance of statistics in monitoring and evaluation of

development programs and policy formulation;

ii. Government support on strengthening the existing NSS;

iii. Existing statistical acts including Statistical Acts of the Bank of Tanzania; Tanzania Revenue

Authority, the National Bureau of Statistics, Office of Chief Government Statistician Zanzibar

and others.

iv. Existence of competent, experienced, motivated statisticians in some MDAs

v. The existing institutional framework for MKUKUTA/MKUZA – Censuses and Surveys; Analysis

and Communications Technical Working Groups

vi. Availability of Concepts and Definitions Document for official statistics in Tanzania

vii. Presence of well coordinated regional offices for the NBS to serve all MDAs statistical needs

viii. Availability of databases for routine and administrative data in some MDAs

ix. Availability of data/indicators warehousing such as Tanzania Socio-Economic Database

(TSED) and Tanzania Integrated Statistical Database (TISD) as tools for data dissemination

and storage

x. Existence of statistical infrastructure for undertaking households and establishments based

sample surveys. The National Master Sample (NMS) and Central Register of Establishments

(CRE) which are accessible to various organizations/agencies for statistical and other purposes

and

xi. Good international cooperation and support from development partners.

5. Assessment Report of the current Tanzania Statistical System - June, 2007

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Chapter Two

2.1.2 Weaknesses

The assessed weaknesses in the NSS focus on five main areas namely: Institutional Development;

Human Resource and Capacity Development; Statistical Infrastructure; Data Development and

Dissemination; as well as Physical Infrastructure and Equipment.

For each of these areas, the weaknesses are outlined below:

a. Institutional Development and Legal Reforms

The Statistics Act 2002 does not explicitly refer to the National Statistical System (NSS) but gives NBS

the mandate to carry out and coordinate statistical activities in Tanzania Mainland. Consequently,

although the Act de facto puts NBS at the centre of the NSS in Tanzania Mainland, it does not

provide appropriate mechanisms to cover the entire NSS, for instance, by guiding coordination and

consultation arrangements between NBS and MDAs.

Box 2: Extracts from the Assessment Report of Current Tanzania Statistical System

• Outof22assessedMDAs,eighthadwellestablishedstatisticalunits,ninehadrudimentaryunitsandfivehadno

unit in place for Tanzania Mainland.

• 44percentofRegionalSecretariatshadStatisticalUnits.

• ExistenceofvariousActsrelatingtostatisticswithnoclearinstitutionalset-upforcoordination.

• Noclearmechanismforstatisticaladvocacy

Furthermore, the current statistical legislation does not provide for the following:

� Definition for NSS and Official statistics

� Adequate powers to coordinate statistical activities in the country and to ensure uniform

standards of statistical data

� Professional ethical coordination of members of the NSS who are not NBS staff

� Clarification on who is responsible for the release of official statistics

� Professional autonomy for NBS

In view of the above, there is a need to review the existing statistical legislation to incorporate

coordination of the NSS and introduce the whole system of autonomy of the National Statistical Office

which is very vital for statistical development in the country. Furthermore, a number of outcomes

in this area include institutionalisation of statistics units to some MDAs, strengthening of NSS by

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Chapter Two

reviewing the current NBS and OCGS organograms to reflect their roles in the National Statistical

System

b. Human Resource and Capacity Development

(i) Human Resource Development

The NSS is under-staffed in terms of statistics professionals. An assessment made at MDAs showed

that staff was inadequate, in both quantity and quality, to undertake statistical activities. Out of twenty

two MDAs that were assessed, only eight had well established statistical units. For the NSS to be

effective, each MDA is expected to establish a unit of not less than three personnel comprising of two

statisticians and a statistical officer.

In this case, an adequate number of statistics professionals are needed to execute and coordinate the

envisaged increased number of statistical operations in MDAs within the National Statistical System.

(ii) Capacity Development

The current system lacks proper plan for capacity building of its staff. It is conducted on ad-hoc

manner depending on the availability of resources. As part of capacity building, staff needs to be

given opportunities for training and development. This includes; long-term training for professionals,

training in statistical analysis, report writing and dissemination of results, and training in soft skills such

as Information Communication Technology (ICT). The capacity building programmes will be based on

Training Needs Assessment to identify the skills gaps in the entire NSS. In this aspect, the NSS need to

have in place a Human Resource Development Plan which will address the skills gaps identified under

the Training Needs Assessment.


• Outof150staffatNBS,twothirdsarestatisticiansholdingDiploma/Degree,12haveMastersinStatistics/

Demography and 15 staff are proficient in Statistical Packages.

• Outof128staffatOCGS,elevenareStatisticiansholdingBA/BScandfiveholdMBA/MSc.

c. Development of Statistical Infrastructure

The assessment shows that different classifications and definitions are used by different MDAs,

and other data producers and this makes comparison of statistics across the NSS difficult. Also the

assessment shows that there are quite a number of uncoordinated Registers of Business Establishments

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Chapter Two

in various MDAs. Furthermore the assessment revealed neither is the National GIS database revised

nor are enumeration areas boundary shape files developed.

All statistical activities need to be conducted in line with agreed International Standard Classifications

(i.e. United Nations International Standard Industrial Classifications, Systems of National Accounts

etc) for identifying the industry group to which each establishment belongs. This ensures international

comparability of data.

Equally important in statistical infrastructure is the Business Register which is a comprehensive list

of all enterprises and establishments operating in the country at a specified time. It is used as frame

for establishment based surveys. Information covered for each enterprise includes name of the

enterprise, mailing address, physical location, main activity of the enterprise, type of ownership and

number of persons employed (engaged). In addition to these; the sales or value of output, initial

capital investment, sources of capital give useful information that should be considered for inclusion

in the revised register as they affect the technological improvement that can affect the turnover of the

establishment besides employment size. Also there is a need of having one reliable central Register of

Businesses that will be updated on regular basis. For household based surveys there is a need to have

a reliable national Geographical Information System to take care of enumeration areas as well as the

National Master Sample.


• Inadequate/unreliablesamplingframeforestablishments/enterprisebasedsurveysduetolackofreliableBusiness

Register.

• Uncoordinatedmethods,conceptsanddefinitionsacrossNSSleadingtoinconsistentstatisticalproducts.

• Inadequateuseofmoderntechnology(GIS)leadingtoinabilitytoupdateHouseholdbasedsamplingframestimely.

d. Data Development and Dissemination

Data production and data quality are essential for the credibility of the NSS. The process of producing

quality data includes collection and management of data from various sources such as administrative

recording, censuses and surveys. Currently, quality production of data using statistical methods that are

scientifically accepted within the National Statistical System is still weak in some areas and therefore

need to be strengthened.

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Chapter Two

The assessment also indicated that there is no information dissemination policy in place. This fact

hinders both the value and use of information within the NSS. Henceforth this area will be addressed

under the implementation of the TSMP.


• Timelinessinsurveydataprocessinganddisseminationthusleadingtopoordatamanagementanddifficultin

linking statistics in policy development processes.

• PoorcoordinationandrecordkeepingacrossNSSleadingtounharmonizedanduncoordinateddatasystems.

• InaccessiblestatisticalproductsduetofragmentationofdatasystemsacrossNSS.


• Inadequateofficespaceforstatisticalactivities(storageandworkingspace)atNBSandOCGS.

• RudimentaryandoutdatedICTequipmentandsoftwareforconductingstatisticalactivitiesacrossNSS.

• Inadequatetransportfacilitiesforconductingstatisticalactivities.

e. Physical Infrastructure and Equipment

The Tanzania Statistical Master Plan aims at repositioning the NBS and OCGS to provide the necessary

leadership and play a greater, more effective and proactive role in coordinating and supervising the

National Statistical System. Currently, NBS and OCGS lack the required premises to accommodate the

headquarters staff, computer centres, conferences, training rooms, library facilities and stores at one

location. Apart from office premises, assessment indicates that there is lack of transport facilities and

ICT infrastructure for statistical activities within NSS. Transport facilities are required to strengthen the

capacity of NBS, OCGS and MDAs in implementing data collection and coordinating activities within

the NSS. ICT infrastructure is a necessary working tool for data management and dissemination.

The assessment conducted in 22 MDAs in regard to the status of infrastructure development and

equipment indicated a number of strengths and weaknesses. Most of the MDAs indicated that they

have a unit for statistics and/or MIS unit equipped with limited working facilities (computers, scanners,

photocopiers, etc). Due to inadequate working facilities, in some cases data are processed and stored

manually. Furthermore, most MDAs have indicated the lack of a one stop centre for data capturing,

which lead to uncoordinated efforts in various MIS initiatives that have led to data fragmentations and

the duplication of tasks.

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Chapter Two

2.1.3 Opportunities

MDAs Assessment results and the consultative process indicated the following opportunities for the

implementation of the TSMP:

� Recognition of NSS in MKUKUTA/MKUZA Monitoring System;

� Government and Development Partners support;

� Greater demand for statistics in view of the new focus on results agenda such as MKUKUTA/

MKUZA, Tanzania Development Vision 2025, Tanzania Development Vision 2020 for

Tanzania Zanzibar and MDGs and

� New partnership among developing countries and development partners, and between

policy and decision-makers and data producers in support of statistical development.

2.1.4 Challenges

MDAs Assessment results and the consultative process indicated the following challenges for the

implementation of the TSMP

� Lack of /inadequate resources to implement TSMP

� Absence of statistical units in some MDAs and LGAs

� Poor response from stakeholders

� Effects of HIV and AIDS among statisticians in MDAs

� High dependency on external support;

� Limited subventions from the government budget to fund statistical activities.

The assessment process of the existing statistical system has to come up with the Tanzania Statistical

Master Plan that will ensure appropriate infrastructure at the Central Government, Local Government,

NBS, OCGS, and the entire NSS all geared at bringing about a conducive working environment that

guarantees production of the required quality statistical products and services.

2.2 Roles of Various Stakeholders in the TSMP

There are potentially many stakeholders within the NSS. These may be categorised as data users, data

collectors, data producers and research/training institutions. However, the following stakeholders will

be essential for the implementation of this plan:

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Chapter Two

TANZANIA STATISTICAL PLAN28 TANZANIA STATISTICAL PLAN28

Ministries, Department and Agencies Responsibilities National Bureau of Statistics (NBS) and Office of Chief Government Statistician (OCGS)

Play coordinating roles and provide technical guidance to the Implementation of TSMP activities across NSS.

Ministry of Finance and Economic Affairs Responsible for providing adequate and timely financial resources including sourcing funds from the development partners.

President’s Office, Public Service Management To accommodate and facilitate human resource reforms within the TSMP and production of quality routine statistics for the Ministry

Prime Minister’s Office, Regional Administration and Local Governments

To play coordinating roles of identifying top priority routine data to be collected and compiled at regional and district authority levels. PMO-RALG will also collaborate with NBS, parent ministries and RSs in designing and strengthening data collection tools and organize training to personnel that will be responsible for data collection, compilation and use at that levels comprising of lower local government levels and service points under their jurisdictions.

Eastern African Statistical Training Centre and Higher learning Institutions

Capacity building for statistical skills through training of staff from MDAs to certificate, diploma and Degree levels, and conduct tailor made courses that will be identified during the implementation of TSMP.

Research Institutions Responsible for further analysis of various surveys.

Presidents Office – Good Governance

1. Strengthen or establish statistical units in all MDAs

2. Capacitate the units with statisticians

3. Equip with modern working tools

4. Identification of data requirements in each MDA

5. Produce of quality routine statistics

6. Share the agreed statistics with NBS and OCGS and facilitate easy access by different users

Vice Presidents Office – Union AffairsVice Presidents Office - EnvironmentMinistry of Foreign Affairs and International Co-operationMinistry of Health and Social WelfareMinistry of Agriculture, Food Security and Co-operativesMinistry of Home AffairsMinistry of Industry, Trade and MarketingMinistry of Infrastructure DevelopmentMinistry of Constitution Affairs and Justice Ministry of Labour, Employment and Youth DevelopmentMinistry of Lands, Housing and Human SettlementsMinistry of Livestock Development and FisheriesMinistry of Natural Resources and TourismMinistry of Water and Irrigation Ministry of Community Development, Gender and ChildrenMinistry of Education and Vocational Training Ministry of Information, Culture, and Sports

Ministry of East African Co-operation

President’s Office, Planning CommissionMinistry of Energy and MineralsMinistry of Communication, Science and TechnologyMinistry for Defence and National ServiceJudiciary of Tanzania Tanzania Police ForceGovernment AgenciesBank of TanzaniaNational Examinations Council of Tanzania (NECTA)Tanzania Revenue Authority Research Institutions Responsible for further analysis of various surveys.

Civil Society Organisations (CSO) Users of the statistics for advocacy supporting Government policies and plans for development of the country

Development Partners Provider of Technical assistance, capacity building, and additional funds to carry out statistical activities

General Public Data provider’s and data users

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TANZANIA STATISTICAL PLAN 29TANZANIA STATISTICAL PLAN 29

Chapter Three

Vision and objectives

3. Overview

The consultative process of developing TSMP identified the strengths, opportunities weaknesses

and challenges as outlined in the previous chapter. This section provides vision statement as well as

objectives, strategies and targets.

3.1 Vision Statement

3.1.1 The Vision

“to be an efficient and well-integrated National Statistical System that produces

quality statistics for planners, researchers and decision makers in an objective,

timely and cost-effective manner.”

3.1.2 The overall development objective of TSMP

The developmental objective of TSMP is to strengthen the NSS in Tanzania so as to enable it to

produce quality statistics for decision makers in an objective timely and cost effective manner. In

order to achieve this objective, five components will be addressed.

3.2 Components of TSMP

The design of TSMP has focused mainly on the strengthening the NSS through the improvement of

the following five components:

A. Institutional Developement

B. Human Resource Capacity Development

C. Development of Statistical Infrastructure

D. Data Development and Dissemination

E. Physical Infrastructure and Equipment

For the day to day monitoring of TSMP activities Program Management and Coordination Team are

streamlined within the existing bureaux (NBS and OCGS).

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Chapter Three

The strategic outcome indicators to measure possible achievements of TSMP implementation are:

� Number of users satisfied with official statistics increased by 50 percent

� Twenty two (22) MDAs have functional statistic unit

� Number of MDAs using official statistics increased by 50 percent

� Number of data producers conforming to acceptable statistical standards increase by 80

percent

� Number of Geographical Information System (GIS) tools users increase by 50 percent

� Number of survey responses rate increase to acceptable standard (80 percent and above)

� Reduction in time lag between data collection and dissemination

� Statistical outputs are released within the time limits and with frequency meeting GDDS

requirements.

Baseline survey to establish initial targets for these indicators will be conducted during the first year

and monitored during the implementation of TSMP.

3.3 Objectives, Strategies and Targets

The TSMP objectives, strategies and targets for each component are as follows:

Objective A: Institutional Framework Developed

In order to have a functional National Statistical System, institutional reforms are expected to be carried

out. This will address the intermediate outcomes of ensuring that the official statistics production

and service delivery are effectively coordinated under a well structured autonomous NBS and OCGS

The autonomous of NBS and OCGS aims at enhancing the credibility and impartiality of official statistics

both of which serve to gain public trust in official statistics. This will bring about a fundamental change

in the mindset of all staff of NBS and OCGS, and a willingness to explore new approaches to statistical

work. Secondly and equally essential, it will bring a higher level of accountability to government and

other user communities in terms of delivering statistics of appropriate scope, quantity, quality and

timeliness by promoting statistical awareness among stakeholders in the NSS. Finally, an autonomous

NBS and OCGS will lead to fostering effectiveness and efficiency by cutting bureaucracy from the

operations, effecting needed changes including change in mindset, better motivating and retaining

staff through improved schemes of service, etc. This leads to the review of Statistical Act to guarantee

independence of the system and respect for statistical confidentiality across NSS.

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Chapter Three

To this end therefore a number of targets have been identified as part of TSMP implementation.

Main Targets

A.T.1 Statistics Act Revised and operationalised by June 2011

A.T.2 NBS and OCGS organogram Re-structured by June 2011

A.T.3 Collaboration and coordination mechanisms established or strengthened by 2014

A.T.4 Awareness workshops/meetings’ proceedings and reports published for stakeholders in

the NSS by 2014

Main Strategies

A.S.1 Enhance institutional structures and processes for a functional NSS

A.S.2 Enhance coordination and collaborations among stakeholders in the NSS

A.S.3 Promote statistical awareness among stakeholders in the NSS

Specific Actions

i. To revise Statistics Act to provide for autonomy, better organizational structure, authority

for coordination and approval, and access to micro data

ii. To review NBS organogram reflecting its role in the NSS

iii. To enhance profile and autonomy of NBS

iv. To strengthen collaboration between NBS and OCGS

v. To improve cooperation and coordination between government bodies involved in statistical

activities

vi. To strengthening NSS with appropriate organizational structure to handle effectively

statistical planning, coordination and supervision to match with priorities

vii. To establish mechanism for effective dialogue with data users and data producers through

(a) Advisory Forum (b) User - Producer national/regional workshops

viii. To establish and obtain funds for statistical units in category C MDAs6

ix. To promote awareness and establish instruments and procedures to seek required financing

x. To carry out statistical advocacy and awareness campaign for sensitization on the importance

of statistics

xi. To introduce measures to support MDAs and other organizations using statistics for

monitoring and evaluation

6. Assessment Report of the Current Tanzania Statistical System - June, 2007

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Chapter Three

xii. To establish statistical cadre

xiii. To revive Tanzania Statistical Society to promote professionalism, statistical research and

awareness

Objective B: Human Resource Capacity Developed

One of the identified intermediate outcomes of TSMP is enhanced working environment and capacity

for Human Resource to produce quality statistics. The activities under this objective will focus on

skills upgrading, knowledge enhancement and appropriate recruitment within NSS. It is therefore

envisaged that long, short as well as professional courses will be conducted in order build capacity and

fill in identified gaps during the assessment across NSS.

In this regard, various soft skills needed for staff at NBS, OCGS and MDAs will be developed during

the implementation of TSMP. Training needs assessment will be conducted and training programs

will be developed to enhance staff capacities in the NSS to meet the needs for producing quality

statistics. Furthermore, NBS and OCGS in collaboration with the ministry responsible for public service

management will conduct needs assessment for statisticians across the entire NSS and recommend

new recruitment where necessary. The following targets have been identified for this Objective:

Main Targets

B.T.1 Twenty (20) percent of staff from NBS and OCGS trained in management skills annually

B.T.2 Number of staff from NBS, OCGS, and MDAs trained annually in statistical skills and

knowledge

B.T.3 Number of Staff recruited annually within NSS

B.T.4 Pay structure and incentive scheme reformed by June 2011

Main Strategies

B.S.1 Enhance incentives schemes in order to attract and retain competent staff within NSS

B.S.2 Put in place modalities to ensure appropriate skills and knowledge are acquired by staff

within the NSS

Specific Action

i. To reform pay structure and enhance pay within a new incentives and performance

management system

ii. To attract and retain competent staff within NSS

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Chapter Three

iii. To develop management skills through training in NSS

iv. To build capacity for data analysis

v. To recruit new staff within NSS

vi. To provide on the job training for NSS staff

vii. To attach EASTC trainees to various institutions for practical training

viii. To sponsor staff on specialised courses relevant to statistics at home and abroad

ix. To conduct needs assessment for statisticians in the regions (Regional Secretariats) and

recruit where necessary

x. To train staff from category A MDAs in data analysis and statistical report writing

xi. To train staff from category B MDAs in data collection, processing and statistical report

writing

xii. To train staff from category C MDAs in data collection, processing and statistical report

writing

Objective C: Statistical Infrastructure Improved

NSS needs to be supported by adequate statistical infrastructure based on well defined concepts,

definitions and international classifications and standards. Due to the diverse nature of data producers

within the NSS, the production of official statistics is prone to errors due lack or inadequate use of well

defined standards. Improvement of statistical infrastructure will ensure that not only data production

within NSS is improved and harmonized but also improvement is usage of census and survey data. The

use of modern technologies in particular Geographical Information Systems and spatial data bring

opportunities for improved evidence based planning and decision making. Therefore this objective

aims at improving sampling frames for establishment and household based surveys, harmonising

statistical concepts and definitions in line with international standards and classification schemes as

well as development and effective usage of business registers and spatial data systems.

Main Targets

C.T.1 Updated International Statistical Classifications adapted / adopted by 2014

C.T.2 Updated Statistical Concepts, Definitions and Methodologies published and adopted

within NSS by 2012

C.T.3 National Geographical Information System database in place by 2014

C.T.4 Business Register improved and published annually

C.T.5 Database of Enumeration Areas (EAs) boundary shape files developed by June 2012

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Chapter Three

Main Strategies

C.S.1 Review and operationalise concepts, methods and classifications in conformity to

international standards within the NSS

C.S.2 Develop National GIS database and digitalise EAs for 2012 Population Census

C.S.3 Update and maintain Business Register and enhance its use

Specific Actions

i. Strengthen coverage, update and maintenance of business register and enhance uses

ii. Improve VAT database to make it user oriented

iii. Update compendium of concepts definitions and methodologies

iv. Adoption of Updated International Statistical Classifications

v. Digital cartography for 2012 Population Census

vi. Create shape files for Enumeration Areas (EA) boundaries

vii. Populate basic GIS data with information on social sectors and other infrastructure

viii. Finalize National Spatial Data Infrastructure (NSDI) policy

ix. Create a national Geographical Information System (GIS) database

x. Assist OCGS to establish Geographical Information System Unit

xi. Integrate routine data from MDAs and LGAs in GIS

xii. Establish structures within MDAs and LGAs to keep spatial data up to date

xiii. Develop capacity in spatial data management and analysis

xiv. Develop procedures and routines for using GIS technologies in data collection and

compilation at NBS and OCGS

xv. Implementation and Development of NSDI through spatial sector Working Group(priority

MDAs will include Health, Education, Lands, Water, Agriculture and livestock)

xvi. Sensitize uses of spatial data in decision making

xvii. Train planners and decision makers on GIS tools for their effective use

xviii. Produce and disseminate poverty maps and other tools to stakeholders

Objective D: Data Development and Dissemination Improved

The NSS needs to provide quality data and develop a mechanism for easy access of the information

to all users. The process of producing quality data includes collection and management of data from

various sources such as administrative data, filling data gaps in administrative records by conducting

surveys and censuses, improving the periodicity of statistical products (from censuses, surveys and

administrative records), integrating by coordinating different censuses and surveys and improving the

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Chapter Three

efficiency of field work, strengthening data analysis and reporting, improving data quality by reducing

delays and increase response rates.

TSMP will ensure delivering statistics of appropriate scope, quantity, quality and timeliness in the

entire system. During the implementation of the program, areas in which the current system is doing

well will be maintained and strengthening data collection and dissemination of economic statistics

and routine data at MDAs, regional and district levels on regular basis.

Either, information collected but not disseminated for use means resource wastage. Therefore, there is

a need for improving the ways in which data are produced, coordinated, disseminated while ensuring

access of micro and metadata to various users in accordance to the developed Micro Data Policy

which safe guard the use of micro data at NSS.

Main Targets

D.T.1 Periodic/ routine data systems enhanced by 2014

D.T.2 Production of quality statistics improved by 2014

D.T.3 Dissemination system established by 2011

D.T.4 Statistical databases operationalised by 2012

Main Strategies:

D.S.1 Strengthening routine data collection, storage, compilation, statistical analysis, reporting

and communication within the NSS

D.S.2 Improve macro and micro social and economic statistics within the NSS

Specific Actions

To achieve the target set above, the following activities will be implemented within the NSS.

i. Strengthen Tanzania Socio Economic Database (TSED)

ii. Strengthen collection and compilation of routine agricultural data

iii. Improve data quality at category A MDAs by strengthening data collection, compilation

and reporting

iv. Improve data quality at category B MDAs by strengthening data collection, compilation

and reporting

v. Rebase Gross Domestic Product (GDP) 2007

vi. Price Statistics

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Chapter Three

vii. Rebase Consumer Price Index (CPI) to 2007

viii. Rebase Producer Price Index (PPI) to 2007

ix. Rebase Production Index of Manufacturing (PIM) to 2007 and improve its periodicity and

timeliness

x. Establish Tourism Database

xi. Strengthen Tourism Indicators

xii. Strengthen Government Financial Statistics

xiii. Conduct employment and earnings surveys

xiv. Update tables for annual economic survey

xv. Integrate HBS/NPS/LFS in economic statistics

xvi. Strengthen Economic Surveys (Annual Survey of Industrial Production, Trade Statistics,

Construction Statistics)

xvii. National Panel Survey (NPS)

xviii. Tanzania Demographic Health Survey (TDHS)

xix. Revise and Implement Census of Agriculture

xx. Integrated Business Survey (Construction and Distributive Trade)

xxi. Conduct Rapid Appraisal Agriculture Surveys

xxii. Conduct Core Welfare Indicator Questionnaire (CWIQ) surveys in one third of all districts

annually

xxiii. Develop Quarterly GDP compilation methodology and estimates

xxiv. Compile Supply Use Tables (SUT) for 2007

xxv. Sensitization and compilation of Regional GDP

xxvi. Revise data dissemination and access policy to meet international standards

xxvii. Improve NBS and OCGS information systems and websites

xxviii. Devise publications and services policy, release calendars and marketing procedures

xxix. Promote awareness and use of statistics at district level

Objective F: Physical Infrastructure and Equipment Improved

The implementation of TSMP will involve expanded activities in all areas of statistical production.

Current NBS and OCGS facilities do not provide conducive working environment for statistical

production. Also, transportation facilities for statistical activities are also inadequate. Moreover,

statistical units currently available in MDAs reported significant gap in ICT equipment for carrying out

routine data production related to their mandated functions. Dissemination of statistical products

through planned resource centres is envisaged during the implementation of this plan. For attainment

TSMP_V3.indd 36 15/02/11 09:17


Chapter Three

of improved working condition, routine data systems and enhanced accessibility of information

through ICT and e-government outcomes, implementation of this objective focus on improvement of

physical infrastructure across NSS while equipping NBS/OCGS, MDAs and EASTC with appropriate

ICT infrastructure and software for delivery of routine data systems and e-government.

Main Targets

F.T.1 New office buildings for NBS and OCGS constructed by 2014

F.T.2 Resource centres established by 2014

F.T.3 National data processing centres developed by 2014

F.T.4 ICT infrastructure within the NSS equipped annually

F.T.5 NBS and OCGS equipped with adequate transport facilities by 2012

Main Strategies

FS.1 Provide adequate office space for NBS and OCGS

F.S.2 ICT infrastructure within NSS improved

F.S.3 Transport facilities within NBS and OCGS improved

Specific Actions

i. Design and construct a new building for NBS/OCGS

ii. Construct modern resource centre and computer labs for EASTC

iii. Establish National Data Processing Centre (NDPC)

iv. Update IT infrastructure for NBS and OCGS

v. Capacitate NBS, with adequate transport facilities, in carrying out data collection activities

vi. Assess and integrate regional ICT structures for Statistics

vii. Procure appropriate hardware / software for Regional Data Processing Centres in all

Regions

viii. Harmonize data for all MDAs and LGAs

ix. Enhance management information systems in support of e-governance for category A

MDAs

x. Develop management information system in support of e- governance for category B

MDAs

xi. Develop management information system in support of e- governance for category C

MDAs

TSMP_V3.indd 37 15/02/11 09:17

TANZANIA STATISTICAL PLAN38 TANZANIA STATISTICAL PLAN38 TANZANIA STATISTICAL PLAN38

Chapter Four

Management arrangements, monitoring and evaluation of outcomes and results

4.1 Management Arrangements

In order to coordinate effectively the implementation of TSMP under jurisdiction of the Director

General and the Chief Government Statistician of the NBS and OCGS respectively, a TSMP Coordinator

and Liaison Officer at NBS and OCGS respectively will be assigned to coordinate tasks related to

implementation of TSMP on full time basis.

The proposed tasks of TSMP Coordinators are:

i. Coordinate program activities of all beneficiary agencies;

ii. Manage activities such procurement, in line with the rules and procedures agreed with the

government and donors;

iii. Ensure compliance with Government and DP’s procurement and financial management

requirements and by keeping and maintaining appropriate records and documentation;

iv. Manage reporting and auditing activities, ensuring the timely preparation and

dissemination of reports on activities and financial reports as required by NBS and

agreements with donor agencies;

v. Arrange external audits as required;

vi. Secretary to the TSMP Technical Committee;

vii. Prepare work programs, budgets, procurement plans; and

viii. Prepare regular reports and other program monitoring activities.

For policy decisions and resource allocation, it is proposed that a Technical Committee be constituted

with representation from key stakeholders in the TSMP implementation process. This Technical

Committee will be the main advisor to the Statistical Advisory proposed in the Institutional Reform

during the implementation of the TSMP. A strong component of awareness creation, communication

and information to various stakeholders in the NSS will be undertaken during the implementation of

TSMP.

At NBS and OCGS there will be personnel assigned to tasks related to their technical specializations

namely Human Resources, ICT, Procurement, Financial Management as well as Coordinators for

TSMP_V3.indd 38 15/02/11 09:17

TANZANIA STATISTICAL PLAN 39TANZANIA STATISTICAL PLAN 39TANZANIA STATISTICAL PLAN 39

Chapter Four

Sectors.7 Furthermore there will be Sector Technical Working Groups drawn from MDAs. It is envisaged

that a number of Technical Assistance will be engaged for specific tasks and in order to build capacity

in various specialised areas of competence.

In this regard therefore immediate activities for institutionalization of implementation arrangements

are

ix. Propose and approve Government’s Coordinating Committee Structures

x. Preparation of a Prioritized and Realistic Implementation Plan for the TSMP that

recognizes Capacity Constraints

i.

The Institutional Arrangement (Coordination Structure) is attached as Annex II

4.2 Monitoring and Evaluation of Outcomes and Results

In order to ensure intended results are achieved, the following processes will be put in place:

a) On the accountability aspect, The Director of NBS and Chief Government Statistician shall

be accounting officers for the program.

b) On the outcome level, baseline survey (such as user satisfaction survey) will be conducted

at the beginning of the program, from which independent evaluation will be made in the

midterm and end of program.

c) The detailed log frame has indicated required targets. The progress being made will

be judged against these indicators by using structures proposed in the implementation

arrangements. However, since the program is being mainstreamed in NBS and OCGS, day

to day operations will be monitored by respective institutions.

d) On the policy and decision making level (Technical Committee), Reports on progress being

made will be tabled on quarterly basis. These reports will be informing on how the stated

targets are being achieved. Where necessary, joint internal reviews will be conducted.

e) There will be independent annual reviews on progress of the TSMP implementation

whose report will be tabled at the TSMP Technical Committee, Development Partners and

Statistical Advisory Board. These reviews will be conducted prior to budgeting cycle in

order to inform budgeting process.

f) During implementation of TSMP, there will be a mid-term review by an independent

consultant.

7. Macro Economic Statistics, Social Statistics, Business Agriculture and Environmental Statistics and Governance and Justices Sectors Groups

TSMP_V3.indd 39 15/02/11 09:17

Chapter Four

TANZANIA STATISTICAL PLAN40 TANZANIA STATISTICAL PLAN40 TANZANIA STATISTICAL PLAN40 TANZANIA STATISTICAL PLAN40

4.3 Risks

The possible risks associated with the TSMP are outlined below

� Delays in revising statistical act: A new Statistics Act is a centre of NSS reforms. Revising

an act involves various stakeholders and hence consensus building may take sometime.

Consequently some key reforms may span out of project implementation period.

� Failure to retain competent staff: Appropriate staff motivation is key to ensuring that

data priorities are executed within NSS. Proposals to review incentive scheme are part of

the project implementation. The growing demand for competent staff in the job market

(more so when East Africa Community opens up) and competing demands in the national

development agenda, expedited review of the incentives may not be achieved. Hence,

close dialog amongst key stakeholders will mitigate the risk of delay or failure to improve

incentives across NSS. Consequently initiatives to build human capacity in the NSS will be

undermined.

� Insufficient funding for TSMP implementation: The TSMP is dependent on the financial

requirements specified in it. As NSS development objective focuses on improving functions

of the entire NSS, and due to diverse nature of both statistical activities and stakeholders’

needs, there is a risk of funding being earmarked for specified activities as opposed to

compressively providing funding the entire plan. Proper funding mechanism should be

established to mitigate partial implementation of TSMP in the form of a pooled fund for

statistics.

TSMP_V3.indd 40 15/02/11 09:17

TANZANIA STATISTICAL PLAN 41TANZANIA STATISTICAL PLAN 41TANZANIA STATISTICAL PLAN 41TANZANIA STATISTICAL PLAN 41

Chapter Five

The proposed budgetand sustainability

5.1 Proposed Budget

The estimated budget for TSMP activities for the period of 2009/10-2013/14 is given in Table 1.0

which shows that a total of USD 64.4 million is required. Tanzania Mainland will use USD 55.9 million

and Tanzania Zanzibar USD 8.5 million. The estimated cost for each component shows that most

of the funds will be used to improve data management and dissemination activities (40.3 percent)

followed by physical infrastructure and equipment development (26.3 percent). The remaining funds

will be spent on statistical infrastructure development (15.3 percent), human resource and capacity

development (9.0 percent), project management and coordination activities (6.1 percent), and

institutional development (3.0 percent).

The Detailed budget for each component is attached as Annex IV. The component summaries for

Tanzania Mainland and Tanzania Zanzibar are presented in the Table 1.0

Table1.0: Budget Summary of TSMP by Component, 2009/10-2013/14 (US $)

Description Mainland Zanzibar Total Percentage

Distribution

A. Institutional development 1,780,000 140,000 1,920,000 3.0

B. Human resource and Capacity development 5,237,695 575,000 5,812,695 9.0

C. Development of statistical infrastructure 9,491,805 395,000 9,886,805 15.3

D. Data development and dissemination 22,157,926 3,782,698 25,940,624 40.3

E. Physical infrastructure and equipment 14,095,334 2,860,000 16,955,334 26.3

F. Project management and coordination 3,104,400 794,840 3,899,240 0.1

Total 55,867,160 8,547,538 64,414,698 100.0

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Chapter Five

The distribution of the separate estimated budgets for Tanzania Mainland and Tanzania Zanzibar are

shown in Tables 1.1 and 1.2 respectively.

Table 1.1: TSMP Five Years Budget by Components-Tanzania Mainland (US$)

Description 2009/10 2010/112011/12-to

2013/14 Total

Percentage Distribution

A. Institutional development 0 270,500 1,509,500 1,780,000 3.2

B. Human resource and Capacity development

0 1,196,695 4,041,000 5,237,695 9.4

C. Development of statistical infrastructure

145,000 5,131,855 4,214,950 9,491,805 17.0

D. Data development and dissemination

3,851,237 9,354,985 8,951,704 22,157,926 39.7

E. Physical infrastructure and equipment

0 2,242,800 11,852,534 14,095,334 25.2

F. Project management and coordination

15,000 1,174,300 1,915,100 3,104,400 5.6

Total 4,011,237 19,371,135 32,484,788 55,867,160 100.0

Table 1.2: TSMP Five Years Budgets by Components- Tanzania Zanzibar (US$)

Description 2009/10 2010/112011/12 to

2013/14 Total

Percentage Distribution

A. Institutional development 0 47,268 33,370 140,000 1.6

B. Human resource development 0 233,000 332,000 575,000 12.6

C. Development of statistical infrastructure

0 129,048 265,952 395,000 2.7

D. Data development and dissemination

0 1,082,897 621,347 3,782,698 26.2

E. Physical infrastructure and equipment

0 1,150,995 1,648,995 2,860,000 46.1

F. Project management and coordination

0 316,080 337,760 794,840 10.7

Total 0 2,959,288 3,239,424 8,547,538 100.0

TSMP_V3.indd 42 15/02/11 09:17

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Chapter Five

The implementation of TSMP will be in line with the Joint Assistance Strategy for Tanzania (JAST)

principles and hence activities will be aligned with the Government priorities. In light of this, the total

budget is financed under contribution from GOT indirect costs (salaries, cost for acquiring plots,

utility costs) and direct costs (Tshs 6 billion), loan from WB through STATCAP8 (USD 30 million), grant

DFID (3.5 million Pound Sterling) and funding gap will be sought from other development partners

keen to support TSMP as a commitment within implementation of PARIS21 declaration to support

statistical capacity building.

5.2 Sustainability

The overall objective of the program is to improve and build a fully integrated NSS in which statistical

stakeholders work in a coordinated and harmonised manner. In this regard therefore the proposed

implementation arrangement for TSMP is embedded within government structures. The institutional

reforms under this program will ensure appropriate structures and processes are in place to achieve

the intended objective. This will ensure national ownership beyond the implementation period,

as such all statistical activities will be integrated in each MDA through Medium Term Expenditure

Frameworks (MTEF). Equally, Tanzania is implementing national development frameworks and

international obligation aiming at poverty reduction. While there is growing concern in measuring

development results, the GoT is committed to ensuring improvement of official statistics, lack of

which development interventions can not be properly planned, implemented, measured, achieved

and reported on.

8. Statistical Capacity Building Program

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Annexes

Annex I:TSMP Logical Frame Work

Program Development Objective 1. Outcome Indicators 9 Assumptions and Risks for possible interventions

To strengthen the National Statistical System in Tanzania to produce quality statistics for decision makers in an objective, timely and cost effective manner.

1. Number of users satisfied with official statistics increased by 50 percent

2. Twenty two (22) MDAs have functional statistic unit

3. Number of MDAs using official statistics increased by 50 percent

4. Number of data producers conforming to acceptable statistical standards increase by 80 percent

5. Number of GIS tools users increase by 50 percent6. Number of survey responses rate increase to

acceptable standard (80 percent and above) 7. Reduction in time lag between data collection

and dissemination 8. Statistical outputs are released within the time

limits and with frequency meeting GDDS requirements.

Insufficient funding for TSMP implementation

Intermediate result one per component

Results Indicators for Each ComponentAssumptions and Risks for possible interventions

Component A: Institutional Development

Official statistics production and service delivery effectively coordinated.

A well structured autonomous NSS.

Statistical professionalism, Statistical Research and Awareness Promoted

� Statistics Act Revised and operationalised by June 2011

� NBS and OCGS organogram Re-structured by June 2011

� Collaboration and coordination mechanisms established or strengthened by 2014

� Awareness workshops/meetings’ proceedings and reports published for stakeholders in the NSS by 2014

Delays/inability to revise Statistics Act

9. Baseline study to be conducted in the first year of the program to determine current target values

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Annexes



Component B: Human Resource Development

Enhanced staff capacity in NSS to produce quality statistics

� 20 percent of staff from NBS and OCGS trained in management skills annually

� Number of staff from NBS, OCGS, and MDAs trained annually in statistical skills and knowledge

� Pay structure and incentive scheme reformed by June 2011

Failure to retain competent staff

Component C: Development of statistical infrastructure

Improved frame for establishment-based surveys

Harmonized and improved statistical concepts, definition and methods within NSS

Improved frame for Household surveys

Development and effective usage of spatial data system

� Updated International Statistical Classifications adapted / adopted by 2014

� Updated Statistical Concepts, Definitions and Methodologies published and adopted within NSS by 2012

� National Geographical Information System database in place by 2014

� Business Register improved and published annually

� Database of Enumeration Areas (EAs) boundary shape files developed by June 2012.

Component D: Data Development and dissemination

Improved quality of economic data that adheres to international standards

Increased dissemination of data

Efficient delivery of household survey programme.

Improved access to information on public service delivery

� Periodic/routine data systems enhanced by 2014

� Production of quality statistics improved by 2014

� Dissemination system established by 2011 � Statistical databases operationalised by 2012

Component E: Physical infrastructure and equipment development

Improved working conditions for NBS and OCGS

Improved ICT for delivery of routine data systems and e-government.

� New office buildings for NBS and OCGS constructed by 2014

� Resource centres established by 2014 � National data processing centres developed by

2014 � ICT infrastructure within the NSS equipped

annually � NBS and OCGS equipped with adequate

transport facilities by 2012

TSMP_V3.indd 45 15/02/11 09:17


Annexes



Component F: Program management and coordination

Efficient and effective implementation of TSMP

Time lag of Quarterly program progress reports

TSMP_V3.indd 46 15/02/11 09:17


Annexes

Annex II:TSMP Coordination Structure and

Coordination Team

STATISTICAL ADVISORY BOARD

CHIEF EXECUTIVES

TSMP TECHNICAL COMMITTEE

TSMP COORDINATION TEAM

TSMP COORDINATION STRUCTURE

TSMP COORDINATION TEAM

Macro-economic Statistics

Real Sector StatisticsMacro-economic

StatisticsGovernance and Justice Statistics

TSMP TEAM LEADER

LIASON OFFICER ZANZIBAR

HUMAN RESOURCE SPECIALIST

IT SPECIALIST

4 TECHNICAL OFFICERS

(M&E, NBS AND SECTOR

COORDINATORS

PROCUREMENT SPECIALIST

FINANCIAL MANAGEMENT

SPECIALIST

TSMP_V3.indd 47 15/02/11 09:17


Annexes

Annex III: Functions of National Bureau of Statistics

No. l Statistics 2002

(1) The functions of the National Bureau of Statistics shall be-

(a) to take any census in the United Republic of Tanzania;

(b) to draw up an overall national statistics plan for official statistics and keep it under continuous

review;

(c) to establish statistical standards and ensure their use by all producers of official statistics so as

among other things to facilitate the integration and comparison of the statistics produced both

nationally and internationally;

(d) to co-ordinate statistical activities in the country so as –

(i) to avoid duplication of efforts in the production of statistics;

(ii) to ensure optimal utilisation of available resources;

(iii) to reduce the burden on respondents for providing statistical data,

(iv) to ensure uniform standards of statistical data;

(e) to collect, compile, analyse and disseminate statistics and related information;

(f) to maintain an inventory of all available official statistics in the country;

(g) to assist users in obtaining international statistics;

(h) to provide statistical services and professional assistance to official bodies and the public at

large;

(i) to act as a contact point for international organisations and foreign institutions in need of

statistics on matters relating to Tanzania.

(2) The National Bureau of Statistics shall before performing functions which extend to Tanzania

Zanzibar be required to make consultation with the office of the Government Statistician Zanzibar.

TSMP_V3.indd 48 15/02/11 09:17


Annexes

Annex IV: Implementation Plan- Activities, Objectives,

Budget and Performance Indicators

TSMP_V3.indd 49 15/02/11 09:17

Annexes

TANZANIA STATISTICAL PLAN50 TANZANIA STATISTICAL PLAN50 TANZANIA STATISTICAL PLAN50 TANZANIA STATISTICAL PLAN50 TANZANIA STATISTICAL PLAN50 TANZANIA STATISTICAL PLAN50

TAB

LE 1

: AC

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ET A

ND

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FOR

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2009

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2010

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2011

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2013

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Tot

al

Begi

nnin

g da

teRe

quire

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Impl

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ting

Agen

cies

Co

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ratin

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10

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April

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15

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and

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nced

pro

file

and

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nom

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plac

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20,0

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ptem

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ts fo

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ed

TSMP_V3.indd 50 15/02/11 09:17

TANZANIA STATISTICAL PLAN 51TANZANIA STATISTICAL PLAN 51TANZANIA STATISTICAL PLAN 51TANZANIA STATISTICAL PLAN 51TANZANIA STATISTICAL PLAN 51TANZANIA STATISTICAL PLAN 51

Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

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AIN

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ITIE

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KED

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LS A

ND

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GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

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ratin

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al wo

rksh

ops

Carr

y ou

t sur

vey

of c

lient

sa

tisfa

ctio

n an

d im

plem

ent

mea

sure

s for

impr

ovin

g pr

oduc

ers p

artic

ipat

ion

and

user

s sat

isfac

tion

(C3.

G3)

50,0

0030

0,00

035

0,00

0D

ecem

ber,

2010

5 Ye

ars

NBS

, PM

O-

RALG

MDA

s and

LGAs

Stat

istica

l adv

isory

an

d U

ser -

Pr

oduc

er fo

ra

esta

blish

ed

Offi

cial s

tatis

tics

prod

uctio

n an

d se

rvice

del

ivery

ef

fect

ively

coor

dina

ted

unde

r a

well

stru

ctur

ed

auto

nom

ous N

BS

AEs

tabl

ish a

nd o

btain

fund

s fo

r Sta

tistic

al U

nits

in

cate

gory

C: M

DAs

Intro

duce

effe

ctive

St

atist

ical S

ervic

e Fr

amew

ork

for s

ervic

e de

liver

y im

prov

emen

t (C

3G3)

80

0,00

080

0,00

0D

ecem

ber,

2010

4 Ye

ars

NBS

, M

DAs

PO-P

SM

Stat

istica

l Uni

ts

esta

blish

ed a

nd

oper

atio

nal

A

Carr

y ou

t sta

tistic

al ad

voca

cy a

nd a

war

enes

s ca

mpa

ign

for s

ensit

izatio

n on

the

impo

rtan

ce o

f st

atist

ics

Intro

duce

effe

ctive

St

atist

ical S

ervic

e Fr

amew

ork

for s

ervic

e de

liver

y im

prov

emen

t (C

3G3)

25

,000

125,

000

150,

000

Dec

embe

r, 20

104

Year

sN

BS, P

MO

-RA

LGM

DAs,

LGAs

Awar

enes

s wo

rksh

ops/

mee

tings

’ pr

ocee

ding

s and

re

port

s pub

lishe

d fo

r sta

keho

lder

s in

the

NSS

A

Intro

duce

mea

sure

s to

supp

ort

MDA

s and

ot

her o

rgan

izatio

ns u

sing

stat

istics

for m

onito

ring

and

evalu

atio

n

Intro

duce

effe

ctive

St

atist

ical S

ervic

e Fr

amew

ork

for s

ervic

e de

liver

y im

prov

emen

t (C

3G3)

10

,000

10,0

0020

,000

Janu

ary,

2011

4 Ye

ars

NBS

, PM

O-

RALG

MDA

s, LG

As a

nd

Dev

elop

men

t Pa

rtne

rs

Mea

sure

s for

M

onito

ring

and

Evalu

atio

n Se

t and

D

ocum

ente

d

AEs

tabl

ish st

atist

ical c

adre

Ef

fect

ive n

atio

nal

stat

istica

l cad

re w

ithin

NSS

es

tabl

ished

(C3G

3)

10,0

0015

,000

25,0

00Ju

ly, 2

011

4 Ye

ars

NBS

PO-P

SMCo

mm

on S

tatis

tical

Cadr

e in

plac

e

A

Reviv

e Ta

nzan

ia St

atist

ical

Socie

ty to

pro

mot

e pr

ofes

siona

lism

, sta

tistic

al re

sear

ch a

nd a

war

enes

s

Intro

duce

effe

ctive

St

atist

ical S

ervic

e Fr

amew

ork

for s

ervic

e de

liver

y im

prov

emen

t (C

3G3)

42,0

0013

8,00

018

0,00

0Se

ptem

ber,

2011

5 Ye

arN

BS

MDA

s, H

ighe

r Le

arni

ng

Inst

itutio

ns a

nd

PMO

-RAL

G

Ope

ratio

nal

Tanz

ania

Stat

istica

l So

ciety

in p

lace

Stat

istica

l pr

ofes

siona

lism

, St

atist

ical R

esea

rch

and

Awar

enes

s Pr

omot

ed

B.

HU

MA

N R

ESO

URC

E D

EVEL

OPM

ENT

1,196

,695

4,04

1,00

05,

237,

695

TSMP_V3.indd 51 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

B

Refo

rm p

ay st

ruct

ure

and

enha

nce

pay

with

in a

new

in

cent

ives a

nd p

erfo

rman

ce

man

agem

ent s

yste

m

Esta

blish

effe

ctive

serv

ice

fram

e wo

rk a

nd ra

tiona

lize

rem

uner

atio

n to

intro

duce

co

mpe

titive

com

pens

atio

n (C

3G3)

98,0

002,

000

100,

000

Sept

embe

r, 20

102

Yea

rs N

BSM

oFEA

, PO

-PSM

Jo

b ev

aluat

ion

repo

rt a

nd p

ay

stru

ctur

e in

plac

e

Enha

nced

wor

king

en

viron

men

t and

ca

pacit

y fo

r HR

to

prod

uce

quali

ty

stat

istics

BAt

tract

and

reta

in

com

pete

nt st

aff w

ithin

NSS

Esta

blish

effe

ctive

serv

ice

fram

e wo

rk a

nd ra

tiona

lize

rem

uner

atio

n to

intro

duce

co

mpe

titive

com

pens

atio

n (C

3G3)

42,0

008,

000

50,0

00Ja

nuar

y, 20

112Y

ears

NBS

MoF

EA, P

O-P

SM

Rete

ntio

n sc

hem

e an

d Re

mun

erat

ion

sche

me

in p

lace

BD

evel

op m

anag

emen

t ski

lls

thro

ugh

tra

inin

g in

NSS

Esta

blish

effe

ctive

serv

ice

fram

e wo

rk a

nd ra

tiona

lize

rem

uner

atio

n to

intro

duce

co

mpe

titive

com

pens

atio

n (C

3G3)

175,

000

100,

000

275,

000

Janu

ary,

2011

4

Year

sN

BSM

DAs

Num

ber o

f st

aff t

rain

ed in

m

anag

emen

t ski

lls

annu

ally

BBu

ild c

apac

ity fo

r da

ta

analy

sis

Impr

ove

optim

al ut

iliza

tion

of m

anpo

wer (

C3G

3)20

0,00

017

9,00

037

9,00

0Ja

nuar

y, 20

114

Year

sN

BSM

DAs

Num

ber o

f sta

ff tra

ined

in d

ata

analy

sis a

nnua

lly

BO

n th

e jo

b tra

inin

g fo

r N

SS st

aff

Impr

ove

stat

istica

l pr

oduc

tion

(C3G

3)14

5,00

036

0,00

050

5,00

0Fe

brua

ry,

2011

5 Ye

ars

NBS

& P

MO

-RA

LGM

DAs,

LGAs

,EAS

TCN

umbe

r of s

taff

Train

ed

BAt

tach

EAS

TC tr

ainee

s to

var

ious

inst

itutio

ns fo

r pr

actic

al tra

inin

g

Facil

itate

pro

duct

ion

of

skill

ed h

uman

reso

urce

s fo

r the

man

agem

ent o

f the

ec

onom

y an

d de

liver

y of

so

cial s

ervic

es (C

1G2)

100,

000

800,

000

900,

000

April

, 201

14

Year

sEA

STC

NBS

Num

ber o

f EAS

TC

train

ees a

ttach

ed

TSMP_V3.indd 52 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

BSp

onso

r sta

ff o

n sp

ecial

ised

cour

ses r

elev

ant t

o st

atist

ics

at h

ome

and

abro

ad

Facil

itate

pro

duct

ion

of

skill

ed h

uman

reso

urce

s fo

r the

man

agem

ent o

f the

ec

onom

y an

d de

liver

y of

so

cial s

ervic

es (C

1G2)

50,0

0015

0,00

020

0,00

0Fe

brua

ry,

2011

4 Ye

ars

NBS

PO

-PSM

, M

oFEA

, Tra

inin

g in

stitu

tions

Num

ber o

f sta

ff tra

ined

ann

ually

Enha

nced

wor

king

en

viron

men

t and

ca

pacit

y fo

r HR

to

prod

uce

quali

ty

stat

istics

B

Cond

uct n

eeds

ass

essm

ent

for

stat

istici

ans i

n th

e re

gion

s (RS

) and

recr

uit

whe

re n

eces

sary

Impr

ove

stat

istica

l pr

oduc

tion

in th

e re

gion

s (C

3G3)

20

0,00

060

0,00

080

0,00

0N

ovem

ber,

2010

4 Ye

ars

PMO

-RAL

G

NBS

, PO

-PSM

Num

ber o

f st

atist

ician

s re

crui

ted

in th

e re

gion

s

BTr

ain s

taff

from

cat

egor

y A

MDA

s in

data

ana

lysis

and

stat

istica

l rep

ort w

ritin

g

Facil

itate

pro

duct

ion

of

skill

ed h

uman

reso

urce

s fo

r the

man

agem

ent o

f the

ec

onom

y an

d de

liver

y of

so

cial s

ervic

es (C

1G2)

186,

695

42,0

0022

8,69

5N

ovem

ber ,

20

105

Yea

rsM

DAs

NBS

, PO

-PSM

Num

ber o

f sta

ff fro

m c

ateg

ory

A M

DAs t

rain

ed in

da

ta a

nalys

is an

d st

atist

ical r

epor

t w

ritin

g an

nuall

y

B

Train

staf

f fro

m c

ateg

ory

B M

DAs i

n da

ta co

llect

ion,

pr

oces

sing

and

stat

istica

l re

port

writ

ing

Facil

itate

pro

duct

ion

of

skill

ed h

uman

reso

urce

s fo

r the

man

agem

ent o

f the

ec

onom

y an

d de

liver

y of

so

cial s

ervic

es (C

1G2)

1,300

,000

1,300

,000

Augu

st,

2011

4 Ye

ars

MDA

sN

BS ,

PO-P

SM

Num

ber o

f sta

ff fro

m c

ateg

ory

B M

DAs t

rain

ed in

da

ta a

nalys

is an

d st

atist

ical r

epor

t w

ritin

g an

nuall

y

B

Train

staf

f fro

m c

ateg

ory

C M

DAs

in d

ata

colle

ctio

n,

proc

essin

g an

d st

atist

ical

repo

rt w

ritin

g

Facil

itate

pro

duct

ion

of

skill

ed h

uman

reso

urce

s fo

r the

man

agem

ent o

f the

ec

onom

y an

d de

liver

y of

so

cial s

ervic

es (C

1G2)

500,

000

500,

000

Augu

st,

2011

4 Ye

ars

MDA

sN

BS ,

PO-P

SM

Num

ber o

f sta

ff fro

m c

ateg

ory

C M

DAs t

rain

ed in

da

ta a

nalys

is an

d st

atist

ical r

epor

t w

ritin

g an

nuall

y

C.

DEV

ELO

PMEN

T O

F ST

ATIS

TICA

L IN

FRA

STRU

CTU

RE14

5,00

05,

131,

855

4,21

4,95

09,

491,

805

C

Stre

ngth

en co

vera

ge,

upda

te a

nd m

ainte

nanc

e of

bus

ines

s reg

ister

and

en

hanc

e us

es

Prov

ide

sam

plin

g fra

me

to e

stab

lishm

ent b

ased

su

rvey

s (C1

G2)

321,8

0590

0,00

01,2

21,8

05O

ctob

er,

2010

5 Ye

ars

NBS

and

OCG

SPM

O-R

ALG

, M

oFEA

, MLH

HU

pdat

ed B

usin

ess

Regi

ster

Har

mon

ized

and

impr

oved

dat

a pr

oduc

tion

with

in

NSS

TSMP_V3.indd 53 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

CIm

prov

e VA

T da

taba

se to

m

ake

it us

er o

rient

edEn

surin

g so

und

econ

omic

man

agem

ent (

C1G

1)43

,000

77,0

0012

0,00

0D

ecem

ber,

2010

5 Ye

ars

NBS

MoF

EA, L

GAs

an

d TR

AU

ser o

rient

ed V

AT

data

base

in p

lace

CU

pdat

e co

mpe

dium

of

conc

epts

defi

nitio

ns a

nd

met

hodo

logi

es

Carr

y ou

t har

mon

isatio

n pr

oces

s of a

ll co

ncep

ts,

defin

ition

s and

m

etho

dolo

gies

for

impr

ovin

g da

ta p

rodu

ctio

n (C

3.G

3.1)

60,0

0030

,000

90,0

00Se

ptem

ber ,

20

105Y

ears

NBS

, OCG

SM

DAs,

PMO

- RA

LG,T

RA

Conc

epts

, de

finiti

ons a

nd

Met

hodo

logi

es

docu

men

t upd

ated

Har

mon

ized

and

impr

oved

dat

a pr

oduc

tion

with

in

NSS

CAd

optio

n of

Upd

ated

In

tern

atio

nal S

tatis

tical

Clas

sifica

tions

Carr

y ou

t har

mon

isatio

n pr

oces

s to

esta

blish

St

atist

ical C

lassifi

catio

ns

for d

ata

prod

ucer

s (C3

.G

3.1)

30

,000

130,

000

160,

000

Sept

embe

r ,

2010

4Yea

rsN

BS, O

CGS

MDA

s, PM

O-

RALG

Upd

ated

In

tern

atio

nal

Stat

istica

l Cl

assifi

catio

ns

adop

ted

Sp

atia

l Dat

a Sy

stem

Dev

elop

men

t

Impr

oved

usa

ge o

f ce

nsus

geo

grap

hic

fram

e

Dig

ital c

arto

grap

hy fo

r 20

12 P

opul

atio

n Ce

nsus

CCr

eate

shap

e fil

es fo

r EA

boun

darie

sTo

put

in p

lace

shap

e fil

es

for E

A Bo

unda

ries (

C3G

3)14

5,00

04,

505,

200

2,03

5,80

06,

686,

000

April

, 201

05

Year

sN

BS &

OCG

SPM

O-R

ALG

, M

oFEA

EA, M

LHH

Dat

abas

e of

EA

boun

dary

shap

e-fil

es in

plac

e

C

Popu

late

basic

GIS

dat

a w

ith in

form

atio

n on

so

cial s

ecto

rs a

nd o

ther

in

frast

ruct

ure

Cond

uct S

ensit

izatio

n Pr

oces

s for

GIS

dat

a to

M

DAs(

C3G

3)64

,200

149,

800

214,

000

Dec

embe

r, 20

104

Year

sN

BS &

OCG

SPM

O-R

ALG

, M

oFEA

, MLH

HPo

pulat

ed G

IS d

ata

in p

lace

Es

tabl

ish N

atio

nal S

patia

l Dat

a In

frast

ruct

ure

(NSD

I)

CFin

alize

NSD

I pol

icyO

rgan

ize st

akeh

olde

rs’

mee

tings

and

fina

lize

docu

men

t (C3

G3)

11,6

506,

350

18,0

00Ja

nuar

y, 20

113

Year

sN

BS &

OCG

S

MLH

H, M

oFEA

, PM

O-R

ALG

, AC

ADEM

IC

INST

ITU

TIO

NS

NSD

I Pol

icy

Doc

umen

t in

plac

e

Effe

ctive

ut

iliza

tion

of G

IS

tool

s in

evid

ence

ba

sed

plan

ning

an

d de

cisio

n m

akin

g C

Crea

te a

nat

iona

l GIS

da

taba

se

Colle

ct d

atas

ets a

nd c

reat

e m

etad

ata

and

prot

ocol

s (C

3G3)

25

,200

46,8

0072

,000

Dec

embe

r, 20

104

Year

sN

BS &

OCG

SPM

O-R

ALG

, M

oFEA

, MLH

H

Esta

blish

ed

Nat

iona

l GIS

da

taba

se

TSMP_V3.indd 54 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

CAs

sist O

CGS

to e

stab

lish

GIS

Uni

t (Se

e ZN

Z IP

)

To b

ecom

e G

IS b

ased

Sp

atial

and

Non

spat

ial

data

pro

duce

r (C3

G3)

2

Year

sN

BS &

OCG

SM

oFEA

GIS

uni

t est

ablis

hed

in O

CGS

Effe

ctive

ut

iliza

tion

of G

IS

tool

s in

evid

ence

ba

sed

plan

ning

an

d de

cisio

n m

akin

g

CIn

tegr

ate

rout

ine

data

from

M

DAs a

nd LG

As in

GIS

Goo

d G

over

nanc

e

75,0

0075

,000

Dec

embe

r, 20

114

Year

sN

BS &

OCG

S

PMO

-RAL

G,

MoF

EA,

MLH

H,M

OE

&M

OH

Inte

grat

ed R

outin

e D

ata

in P

lace

CEs

tabl

ish st

ruct

ures

with

M

DAs a

nd LG

As to

kee

p sp

atial

dat

a up

to d

ate

To c

reat

e a

syst

em w

hich

w

ill a

ccom

mod

ate

all

upda

tes t

imel

y10

5,00

010

5,00

0D

ecem

ber,

2011

4 Ye

ars

NBS

& O

CGS

PMO

-RAL

G,

MoF

EA,

MLH

H,M

OE

&M

OH

Inte

grat

ed D

ata

upda

te S

yste

m in

Pl

ace

CD

evel

op c

apac

ity in

spat

ial

data

man

agem

ent a

nd

analy

sis

To p

rodu

ce G

IS to

ols

for

polic

y an

d de

cisio

n m

aker

s to

all M

DAs a

nd

LGAs

(C3G

3)

12

5,00

012

5,00

0D

ecem

ber,

2011

4 Ye

ars

NBS

& O

CGS

PM

O-R

ALG

, M

oFEA

&M

LHH

GIS

Too

ls D

evel

oped

C

Dev

elop

pro

cedu

res

and

rout

ines

for u

sing

GIS

tech

nolo

gies

in d

ata

colle

ctio

n an

d co

mpi

latio

n at

NBS

and

OCG

S

To d

evel

op a

Nat

iona

l M

etad

ata

(C3G

3)

24,0

006,

000

30,0

00D

ecem

ber,

2011

4 Ye

ars

NBS

& O

CGS

PMO

-RA

LG,M

oFEA

&

MLH

H

Nat

iona

l Met

adat

a in

Plac

e

C

Impl

emen

tatio

n an

d D

evel

opm

ent o

f NSD

I th

roug

h sp

atial

sect

or

Wor

king

Gro

up(p

riorit

y M

DA w

ill in

clude

Hea

lth,

Educ

atio

n, L

ands

, Wat

er,

Agr/

lives

tock

)

Colle

ct d

atas

ets a

nd c

reat

e m

etad

ata

and

prot

ocol

s (C

3G3)

75

,000

75,0

00D

ecem

ber,

2011

4 Ye

ars

NBS

& O

CGS

St

ruct

ures

and

M

echa

nism

in p

lace

U

se sp

atia

l dat

a in

dec

ision

mak

ing

TSMP_V3.indd 55 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

CSe

nsiti

ze u

ses o

f spa

tial d

ata

in d

ecisi

on m

akin

g

Org

anize

wor

ksho

ps a

nd

pres

enta

tions

to v

ario

us

user

s (C3

G3)

20,0

0080

,000

100,

000

Febr

uary

, 20

115

Year

sN

BS/O

CGS

MDA

s, PO

MRA

LG,

Wor

ksho

p re

port

s pr

oduc

ed o

n th

e av

ailab

ility

and

use

of

spat

ial d

ata

Effe

ctive

ut

iliza

tion

of G

IS

tool

s in

evid

ence

ba

sed

plan

ning

an

d de

cisio

n m

akin

g

CTr

ain p

lanne

rs a

nd d

ecisi

on

mak

ers o

n G

IS to

ols f

or

thei

r effe

ctive

use

Org

anize

zona

l tra

inin

g wo

rksh

ops a

nd

pres

enta

tions

to v

ario

us

user

s (C3

G3)

50

,000

50,0

00D

ecem

ber,

2011

2 Ye

ars

NBS

/OCG

SM

DAs,

POM

RALG

,

Num

ber o

f pl

anne

rs a

nd

decis

ion

mak

ers

train

ed.

Effe

ctive

ut

iliza

tion

of G

IS

tool

s in

evid

ence

ba

sed

plan

ning

an

d de

cisio

n m

akin

g

Pr

oduc

e an

d di

ssem

inat

e po

vert

y m

aps a

nd o

ther

to

ols t

o st

akeh

olde

rs

Prod

uce

map

s on

vario

us

sect

ors a

nd d

issem

inat

e to

all

MDA

s and

LGAs

(C

3G3)

26,8

0032

3,20

035

0,00

0Ja

nuar

y, 20

115

Year

sN

BS/O

CGS

MDA

s, PO

MRA

LG,

Pove

rty

map

s pr

oduc

ed a

nd

diss

emin

ated

to

stak

ehol

ders

D

. DAT

A D

EVEL

OPM

ENT

AN

D D

ISSE

MIN

ATIO

N

3,85

1,23

79,

354,

985

8,95

1,70

422

,157,

926

Im

prov

ing

curr

ent s

tatis

tics

TSMP_V3.indd 56 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DD

evel

op c

apac

ity to

in

terp

ret d

ata

from

diff

eren

t so

urce

s

Empo

wer d

ata

user

s with

da

ta in

terp

reta

tion

skill

s

20,0

0040

,000

60,0

00D

ecem

ber,

2010

5 Ye

ars

NBS

, OCG

SM

DAs,

PMO

-RA

LG

Dat

a us

ers

equi

pped

with

dat

a in

terp

reta

tion

skill

s

Impr

oved

qua

lity

an

d ef

fect

ive u

se

of st

atist

ics w

ithin

N

SS

DSe

t up

a sy

stem

for

quali

ty

assu

ranc

e w

ithin

the

NSS

Empo

wer d

ata

prod

ucer

s an

d ot

her s

take

hold

ers

with

dat

a qu

ality

ass

uran

ce

skill

s (C3

G3)

25

0,00

025

0,00

0Ju

ly, 2

011

5 Ye

ars

NBS

, OCG

SM

DAs,

PMO

-RA

LGSy

stem

for q

ualit

y as

sura

nce

in p

lace

DIn

stitu

te in

depe

nden

t in

tern

al da

ta a

udits

Co

nduc

t an

Inde

pend

ent

Dat

a Au

dits

(C3G

3)

50,0

0050

,000

July,

201

14

Year

sN

BS, O

CGS

MDA

s, PM

O-

RALG

Dat

a Au

dit

Repo

rts o

n Q

ualit

y As

sura

nce

DCo

nduc

t valu

e fo

r mon

ey

stud

ies

on U

tiliza

tion

of

Reso

urce

s

Carr

y ou

t Valu

e fo

r Mon

ey

Stud

ies t

o M

easu

re

Effic

ienc

y in

Util

izatio

n of

Re

sour

ces (

C3G

3)

86,0

0010

0,00

018

6,00

0M

ay ,

2011

5 Ye

ars

NBS

, OCG

SM

DAs,

PORA

LG

2 Re

port

s on

valu

e fo

r mon

ey S

tudi

es

on u

tiliza

tion

of p

roje

ct/N

SS

reso

urce

s pro

duce

d

DAs

sess

ade

quac

y an

d ef

ficie

ncy

of h

ouse

hold

su

rvey

pro

gram

me

Cond

uct A

sses

smen

t of

Adeq

uacy

and

Effi

cienc

y of

Hou

seho

ld S

urve

y Pr

ogra

mm

e (C

3G3)

50

,000

50,0

00D

ecem

ber,

2011

4 Ye

ars

NBS

, OCG

SM

DAs,

PMO

-RA

LG

Hou

seho

ld S

urve

y As

sess

men

t Rep

ort

prod

uced

TSMP_V3.indd 57 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DCo

nduc

t ind

epen

dent

ex

tern

al da

ta a

udits

Cond

uct a

n In

depe

nden

t Ex

tern

al da

ta q

ualit

y au

dit

(C3G

3)

10,0

0030

,000

40,0

00Ap

ril, 2

011

4 Ye

ars

NBS

, OCG

SM

DAs,

PMO

-RA

LGQ

ualit

y as

sura

nce

Repo

rts a

re in

plac

e

Impr

oved

qua

lity

an

d ef

fect

ive u

se

of st

atist

ics w

ithin

N

SS

DSt

reng

then

Tan

zani

a So

cio

Econ

omic

Dat

abas

e (T

SED

)

Prov

ide

acce

ss, u

se a

nd

diss

emin

atio

n of

acc

urat

e da

ta o

f soc

io-e

cono

mic

indi

cato

rs in

a u

ser-f

riend

ly m

anne

r (C3

G3)

25

,000

25,0

0050

,000

Dec

embe

r, 20

104

Year

sN

BSU

NIC

EF, U

ND

P ,M

DAs,

OCG

S an

d LG

As

Staf

f fro

m M

DAs

train

ed o

n TS

ED,

indi

cato

rs u

pdat

ed

with

met

adat

a an

d ha

rmon

ized

with

in

NSS

DSt

reng

then

colle

ctio

n an

d co

mpi

latio

n of

rout

ine

agric

ultu

ral d

ata

Incr

ease

agr

icultu

ral

grow

th (C

1G2)

(GD

DS)

1,3

10,9

8068

9,02

02,

000,

000

July,

201

04

Year

s N

BSM

oAFS

, Live

stoc

k an

d Fis

herie

s

Annu

al In

dex

of A

gricu

lture

Pr

oduc

tion

Rele

ased

3 m

onth

s af

ter

year

end

.

D

Impr

ove

data

qua

lity

at c

ateg

ory

A M

DAs

by st

reng

then

ing

data

co

llect

ion,

com

pilat

ion

and

repo

rtin

g

Stre

ngth

en/E

stab

lish

rout

ine

data

syst

ems

(C3G

2)

30,0

0070

,000

100,

000

Dec

embe

r, 20

103

Year

M

DAs

NBS

, PO

-PSM

Stre

ngth

ened

an

d op

erat

iona

l st

atist

ical p

roce

sses

at

cat

egor

y A

MDA

s

D

Impr

ove

data

qua

lity

at c

ateg

ory

B M

DAs

by st

reng

then

ing

data

co

llect

ion,

com

pilat

ion

and

repo

rtin

g

Stre

ngth

en/E

stab

lish

rout

ine

data

syst

ems

(C3G

2)24

0,00

020

0,00

044

0,00

0M

arch

, 201

15

Year

s M

DAs

NBS

, PO

-PSM

Org

anize

d an

d st

reng

then

ed

stat

istica

l uni

ts a

nd

oper

atio

nal

N

atio

nal A

ccou

nts

TSMP_V3.indd 58 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DRe

base

Gro

ss D

omes

tic

Prod

uct (

GD

P) 2

007

prov

ide

GD

P gr

owth

ra

tes f

or m

onito

ring

mac

ro-e

cono

mic

stab

ility

an

d to

impl

emen

t new

re

com

men

ded

and

revis

ed

met

hodo

logi

es/s

ourc

es o

f da

ta. (

C1G

2)

94,0

00

41,0

00

135,

000

Sept

, 201

02Y

ears

NBS

EAST

AFRI

TAC

(IMF)

, MoF

EA,

TRA,

BOT,

Min

istry

of

Agric

ultu

re a

nd

Food

Sec

urity

, ot

her M

DAs

Reba

sed

GD

P

Impr

oved

qua

lity

an

d ef

fect

ive u

se

of st

atist

ics w

ithin

N

SS

D H

arm

onise

com

pilat

ion

of G

DP

for t

he U

nite

d

Repu

blic

of T

anza

nia

Ensu

ring

soun

d ec

onom

ic m

anag

emen

t (C1

G1)

25

,000

75,0

0010

0,00

0D

ecem

ber,

2010

4 Ye

ars

NBS

, OCG

SEA

ST A

FRIT

AC,

MoF

EA, B

OT

Har

mon

ised

GD

P fo

r URT

Pr

ice St

atist

ics

DRe

base

Con

sum

er P

rice

Inde

x (C

PI) t

o 20

07

Pro

vide

Inpu

ts fo

r GD

P gr

owth

rate

to p

rom

ote

sust

ainab

le a

nd b

road

ba

sed

grow

th (C

1G2)

75,0

0025

,000

100,

000

July,

201

05Y

ears

NBS

MoF

EA, B

OT

Reba

sed

CPI

docu

men

t in

plac

e

DRe

base

Pro

duce

r Pric

e In

dex

(PPI

) to

2007

Pro

vide

Inpu

ts fo

r GD

P gr

owth

rate

to p

rom

ote

sust

ainab

le a

nd b

road

ba

sed

grow

th (C

1G2)

116,

000

34,0

0015

0,00

0Se

ptem

ber ,

20

105

Year

sN

BSM

oFEA

, BO

TRe

base

d PP

I do

cum

ent i

n pl

ace

Pr

oduc

tion

Stat

istics

D

Reba

se P

rodu

ctio

n In

dex

of M

anuf

actu

ring

(PIM

) to

200

7 an

d im

prov

e its

pe

riodi

city

and

timel

ines

s

To m

onito

r gro

wth

in

man

ufac

turin

g p

rodu

ctio

n (C

1G2)

(GD

DS)

60

,000

190,

000

250,

000

Sept

embe

r ,

2010

4 Ye

ars

NBS

M

inist

ry o

f In

dust

ries,

Trad

e an

d M

arke

ting

Reba

sed

and

Impr

oved

Qua

rter

ly Pr

oduc

tion

Inde

x of

Man

ufac

turin

g (P

IM)

D To

urism

Stat

istics

and

Gov

ernm

ent F

inan

cial S

tatis

tics

TSMP_V3.indd 59 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DEs

tabl

ish T

ouris

m D

atab

ase

Im

prov

e G

DP

com

pilat

ion

of se

ctor

gro

wth

(C1G

2)

60

,000

140,

000

200,

000

Dec

embe

r, 20

104

Year

sN

BS,M

NRT

Min

istry

of

Hom

e Af

fairs

, M

NRT

,BO

T

Tour

ism D

atab

ase

in p

lace.

Impr

oved

qua

lity

an

d ef

fect

ive u

se

of st

atist

ics w

ithin

N

SS

DSt

reng

then

Tou

rism

In

dica

tors

Impr

ove

GD

P co

mpi

latio

n of

sect

or g

row

th (C

1G2)

50,0

0025

0,00

030

0,00

0D

ecem

ber,

2010

4 Ye

ars

NBS

MN

RT, B

OT

Min

istry

of H

ome

Affa

irs

Tour

ism in

dica

tors

co

mpi

led,

do

cum

ente

d an

d di

ssem

inat

ed

mon

thly

and

annu

ally

DSt

reng

then

Gov

ernm

ent

Finan

cial S

tatis

tics

Impr

ove

GD

P co

mpi

latio

n of

sect

or g

row

th (C

1G2)

35

,500

30,0

0065

,500

Dec

embe

r, 20

104

Year

sM

oFEA

N

BS, B

OT

Pl

anne

d C

ensu

ses a

nd S

urve

ys

DCo

nduc

t em

ploy

men

t and

ea

rnin

gs su

rvey

s

Prom

otin

g su

stain

able

an

d br

oad-

base

d gr

owth

(C

1G2)

17

1,505

228,

495

400,

000

Sept

embe

r, 20

114

Year

sN

BS

Min

istry

of

Lab

our,

Empl

oym

ent

and

Yout

h D

evel

opm

ent

Repo

rt o

n em

ploy

men

t and

ea

rnin

gs p

rodu

ced

Impr

oved

qua

lity

an

d ef

fect

ive u

se

of st

atist

ics w

ithin

N

SSD

Upd

ate

tabl

es fo

r ann

ual

econ

omic

surv

ey

To st

reng

then

com

pilat

ion

of e

cono

mic

surv

ey ta

bles

to

mon

itor e

cono

mic

grow

th (C

1G2)

13

0,00

030

4,50

043

4,50

0D

ecem

ber,

2010

4 Ye

ars

NBS

MoE

M,M

NRT

, M

IT, B

OT,

MoF

EA

Annu

al Ec

onom

ic Su

rvey

tabl

es

Prod

uced

DIn

tegr

ate

HBS

/NPS

/LFS

in

econ

omic

stat

istics

Redu

ce p

ropo

rtio

n of

ru

ral a

nd u

rban

pop

ulat

ion

belo

w th

e po

vert

y lin

e (C

1G4)

(C1G

5)

16,0

0020

0,00

020

0,00

041

6,00

0D

ecem

ber,

2010

5 Ye

ars

NBS

MDA

s, PM

O-

RALG

and

LAR

G

Har

mon

ized

stat

istics

on

rura

l an

d ur

ban

popu

latio

n be

low

po

vert

y lin

e co

mpi

led

regu

larly

Impr

oved

qua

lity

an

d ef

fect

ive u

se

of st

atist

ics w

ithin

N

SS

D

Stre

ngth

en E

cono

mic

Surv

eys (

Annu

al Su

rvey

of

Indu

stria

l Pro

duct

ion,

Tra

de

Stat

istics

, Con

stru

ctio

n St

atist

ics)

To m

onito

r gro

wth

in

eman

atin

g fro

m v

ario

us

econ

omic

sect

ors (

C1G

2)

(GD

DS)

15

0,00

025

0,00

040

0,00

0D

ecem

ber,

2010

4 Ye

ars

NBS

MIT

, MN

RT,

MAF

S

Econ

omic

Surv

eys

Cond

ucte

d,

com

pile

d an

d di

ssem

inat

ed

TSMP_V3.indd 60 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DN

atio

nal P

anne

l Sur

vey

(NPS

)

Redu

ce p

ropo

rtio

n of

ru

ral a

nd u

rban

pop

ulat

ion

belo

w th

e po

vert

y lin

e (C

1G4)

(C1G

5)

2,36

1,000

1,160

,000

3,52

1,000

Augu

st,

2010

5 Ye

ars

NBS

MAF

C, M

OH

WPa

nel S

urve

y Re

port

s Pro

duce

d

DTa

nzan

ia D

emog

raph

ic H

ealth

Sur

vey

(TD

HS)

Redu

ce p

ropo

rtio

n of

ru

ral a

nd u

rban

pop

ulat

ion

belo

w th

e po

vert

y lin

e (C

1G4)

(C1G

5)

2,88

9,00

0

2,

889,

000

July,

201

01

Year

NBS

MO

HW

DH

S Re

port

s Pr

oduc

ed

D R

evise

and

Impl

emen

t Ce

nsus

of A

gricu

lture

Tran

sform

subs

isten

ce

sect

or to

com

mer

cial

farm

ing

(C1G

4)94

6,23

794

0,00

01,5

64,6

893,

450,

926

July,

200

93

Year

sN

BSM

AFSC

Agric

ultu

re C

ensu

s Re

port

s Pro

duce

d

DIn

tegr

ated

Bus

ines

s Su

rvey

(Con

stru

ctio

n an

d D

istrib

utive

Tra

de

To m

onito

r gro

wth

in

eman

atin

g fro

m v

ario

us

econ

omic

sect

ors (

C1G

2)

(GD

DS)

1,535

,000

1,5

35,0

00Se

ptem

ber,

20

101

Year

NBS

MIT

M, M

ID,

Cons

truc

tion

Coun

cil,

Busin

ess

Regi

ster

of

Cont

ract

ors

Inte

grat

ed B

usin

ess

Surv

ey R

epor

t Pr

oduc

ed

DCo

nduc

t Rap

id A

ppra

isal

Agric

ultu

re S

urve

ys

Impr

oved

food

ava

ilabi

lity

(C1G

3)

O

ct, 2

009

5 Ye

ars

MAF

SC, L

GAs

NBS

Repo

rts o

n m

ain fo

od c

rops

pr

oduc

ed a

nnua

lly

D

Cond

uct

Core

Wel

fare

In

dica

tor Q

uest

ionn

aire

(CW

IQ) s

urve

ys in

one

third

of

all

dist

ricts

ann

ually

To P

rom

ote

dece

ntra

lizat

ion

by

Stre

ngth

enin

g a

nd

deep

enin

g th

e Lo

cal

Gov

ernm

ent R

efor

m

Prog

ram

me

(C3G

3)

1,4

00,0

002,

300,

000

3,70

0,00

0D

ecem

ber,

2010

2 Ye

ars

PMO

-RAL

GN

BS ,

EAST

C44

CW

IQ fo

r LG

As

Cond

ucte

d

In

itiat

ion

of n

ew co

mpi

latio

ns

DD

evel

op Q

uart

erly

GD

P co

mpi

latio

n m

etho

dolo

gy

and

estim

ates

Audi

t and

est

ablis

h ap

prov

ed li

st o

f ind

icato

rs

for c

ompi

latio

n of

Q

uart

erly

natio

nal

acco

unts

stat

istics

(C1G

1)

25

,000

75,0

0010

0,00

0Se

ptem

ber,

2010

2 Ye

ars

NBS

IMF(

East

Afir

tac)

, BO

T, T

RA,

MAF

SC

Har

mon

ised

list o

f qu

arte

rly in

dica

tors

an

d Q

uart

erly

GD

P in

plac

e

Impr

oved

qua

lity

an

d ef

fect

ive u

se

of st

atist

ics w

ithin

N

SS

DCo

mpi

le S

uppl

y U

se T

able

s (S

UT)

for 2

007

To p

rovid

e SU

T fo

r un

dert

akin

g ne

xt

benc

hmar

king

at 2

007

price

s (C1

G1)

10

,000

40,0

0050

,000

Sept

embe

r, 20

104

Year

sN

BS

IMF(

East

Afir

tac)

, BO

T, T

RA,

MAF

SC a

nd o

ther

M

DAs

Supp

ly U

se T

able

fo

r 200

7 in

plac

e

TSMP_V3.indd 61 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DSe

nsiti

zatio

n an

d co

mpi

latio

n of

Reg

iona

l G

DP

Prom

ote

regi

onal

equi

ty in

de

velo

pmen

t (C1

G2)

20

,000

130,

000

150,

000

Dec

embe

r, 20

104

Year

sN

BS

RS

Regi

onal

GD

P fo

r 3 re

gion

s pr

oduc

ed, 4

regi

ons

sens

itize

d an

nuall

y an

d m

etho

dolo

gy

docu

men

ted

for

wid

er u

se

D

ata

diss

emin

atio

n

DRe

vise

data

diss

emin

atio

n an

d ac

cess

pol

icy to

mee

t in

tern

atio

nal s

tand

ards

Ensu

ring

stat

istica

l da

ta tr

ansp

aren

cy a

nd

expa

ndin

g da

ta a

vaila

bilit

y (C

3G3)

54,0

0036

,000

90,0

00D

ecem

ber,

2009

1 Ye

arN

BSM

DAs

Dat

a D

issem

inat

ion

Polic

y in

plac

e

Impr

oved

acc

ess

to in

form

atio

n on

pub

lic se

rvice

de

liver

y

DIm

prov

e N

BS a

nd O

CGS

info

rmat

ion

syst

ems a

nd

webs

ites

Impr

ove

Info

rmat

ion

tech

nolo

gy e

nviro

nmen

t at

the

Nat

iona

l Sta

tistic

al Sy

stem

, (C3

G3)

20

,000

80,0

0010

0,00

0D

ecem

ber,

2010

5 Ye

ars

NBS

MDA

S,LG

As a

nd

OCG

S

Enh

ance

d O

pera

tions

of

NBS

an

d O

CGS

webs

ites

D

Dev

ise p

ublic

atio

ns a

nd

serv

ices p

olicy

, rel

ease

ca

lend

ars a

nd m

arke

ting

proc

edur

es

Dev

elop

an

effe

ctive

pub

lic

relat

ions

and

mar

ketin

g fu

nctio

ning

1,000

4,00

05,

000

Dec

embe

rt,

2010

4 Ye

ars

NBS

Re

adily

acc

essib

le

of p

ublic

goo

ds in

tim

ely

man

ner

DPr

omot

e aw

aren

ess a

nd u

se

of st

atist

ics a

t dist

rict l

evel

To P

rom

ote

dece

ntra

lizat

ion

by

Stre

ngth

enin

g a

nd

deep

enin

g th

e Lo

cal

Gov

ernm

ent R

efor

m

Prog

ram

me

(C3G

3)

10

0,00

029

0,00

039

0,00

0D

ecem

ber ,

20

104

Year

sPM

O-R

ALG

NBS

/ E

STAC

/

MoF

EA

Num

ber o

f sta

ff fro

m LG

As tr

ained

on

dat

a co

llect

ion

and

com

pilat

ion

annu

ally

EPH

YSIC

AL

INFR

AST

RUCT

URE

AN

D E

QU

IPM

ENT

2,24

2,80

011

,852

,534

14,0

95,3

34

ED

esig

n an

d co

nstr

uct a

new

bu

ildin

g fo

r NBS

To h

ave

cond

ucive

an

d ad

equa

te w

orki

ng

envir

onm

ent a

nd sp

ace

by

Augu

st 2

011

84

,000

7,916

,000

8,00

0,00

0D

ecem

ber,

2009

5 Ye

ars

NBS

TB

AN

ew B

uild

ing

for

NBS

in p

lace

Impr

oved

wor

king

co

nditi

on, r

outin

e da

ta sy

stem

s an

d en

hanc

ed

acce

ssib

ility

of

info

rmat

ion

thro

ugh

ICT

and

e-go

vern

men

t

TSMP_V3.indd 62 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

ECo

nstr

uct m

oder

n re

sour

ce

cent

re a

nd co

mpu

ter l

abs

for E

ASTC

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

10

0,00

020

0,00

030

0,00

0D

ecem

ber,

2010

4 Ye

ars

EAST

CN

BS

Mod

ern

reso

urce

ce

ntre

and

co

mpu

ter l

abs i

n pl

ace

Impr

oved

wor

king

co

nditi

on, r

outin

e da

ta sy

stem

s an

d en

hanc

ed

acce

ssib

ility

of

info

rmat

ion

thro

ugh

ICT

and

e-go

vern

men

t

EEs

tabl

ish N

atio

nal D

ata

Proc

essin

g Ce

ntre

(ND

PC)

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

20

0,00

080

0,00

01,0

00,0

00D

ecem

ber,

2010

5 Ye

ars

NBS

MoF

EA, P

O-P

SM

MDA

s, RS

Nat

iona

l dat

a pr

oces

sing

cent

re

in p

lace

EU

pdat

e IT

infra

stru

ctur

e fo

r N

BS&

OCG

SU

pgra

ding

and

use

of

Tech

nolo

gies

(C1.G

2.6)

23

3,80

066

,200

300,

000

Dec

embe

r, 20

105

Year

sN

BS a

nd O

SGS

Reg

iona

l St

atist

ical O

ffice

sIT

infra

stru

ctur

e up

date

d

E

Capa

citat

e N

BS, w

ith

adeq

uate

tran

spor

t fac

ilitie

s, in

car

ryin

g ou

t dat

a co

llect

ion

activ

ities

Stre

ngth

enin

g m

onito

ring

and

evalu

atio

n of

stat

istica

l op

erat

ions

(C3G

3)

600,

000

900,

000

1,500

,000

Dec

embe

r, 20

104

Year

sN

BSM

oID

N

umbe

r of

trans

port

facil

ities

pr

ovid

ed a

nnua

lly

EAs

sess

and

inte

grat

e re

gion

al IC

T st

ruct

ures

for

Stat

istics

Stre

ngth

en/E

stab

lish

rout

ine

data

syst

ems

(C3G

2)

400,

000

895,

334

1,295

,334

Dec

embe

r, 20

104

Year

sPM

O-R

ALG

NBS

Repo

rt o

n re

gion

al IC

T st

ruct

ures

fo

r sta

tistic

s re

quire

men

ts

prod

uced

E

Proc

ure

appr

opria

te

hard

war

e /

softw

are

for

Regi

onal

Dat

a Pr

oces

sing

Cent

res i

n all

Reg

ions

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

50

,000

150,

000

200,

000

Dec

embe

r, 20

104

Year

sPM

O-R

ALG

N

BS

Har

dwar

e/so

ftwar

e fo

r 21

Regi

onal

Dat

a Pr

oces

sing

cent

res p

urch

ased

EH

arm

onize

dat

a fo

r all

MDA

s and

LGAs

Ensu

ring

equi

tabl

e ac

cess

to e

duca

tion

and

impr

ovin

g he

alth

and

well

bein

g (C

2G1&

G2)

10

0,00

020

0,00

030

0,00

0D

ecem

ber,

2010

4 Ye

ars

PMO

-RAL

G

NBS

Dat

a fo

r all

MDA

s and

LGAs

ha

rmon

ized

E

Enha

nce

man

agem

ent

info

rmat

ion

syst

ems i

n su

ppor

t of e

-gov

erna

nce

for

cate

gory

A M

DAs)

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

25

,000

75,0

0010

0,00

0D

ecem

ber,

2010

4 Ye

ars

NBS

, PM

O-

RALG

PO-P

SM

Com

pute

rs a

nd

rele

vant

softw

are

supp

lied

to

cate

gory

A M

DAs

and

used

TSMP_V3.indd 63 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

E

Dev

elop

man

agem

ent

info

rmat

ion

syst

em in

su

ppor

t of e

- gov

erna

nce

for c

ateg

ory

B M

DAs

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

15

0,00

025

0,00

040

0,00

0D

ecem

ber,

2010

4 Y

ears

NBS

, PM

O-

RALG

PO-P

SM

Man

agem

ent

info

rmat

ion

syst

em

for c

ateg

ory

B M

DAs i

n pl

ace

E

Dev

elop

man

agem

ent

info

rmat

ion

syst

em in

su

ppor

t of e

- gov

erna

nce

for c

ateg

ory

C M

DAs

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

30

0,00

040

0,00

070

0,00

0D

ecem

ber,

2010

5 Ye

ars

NBS

, PM

O-

RALG

PO-P

SM

Man

agem

ent

info

rmat

ion

syst

em

for c

ateg

ory

C M

DAs i

n pl

ace

F.

PRO

JECT

MA

NAG

EMEN

T A

ND

CO

ORD

INAT

ION

15

,000

1,174

,300

1,91

5,10

03,

104,

400

FSe

ek h

igh

leve

l app

rova

l and

su

ppor

t for

TSM

P st

rate

gyPa

rtici

patio

n an

d in

volve

men

t (C3

G3)

20

,000

25,0

0045

,000

Dec

embe

r, 20

102

Year

sN

BS, O

CGS

MoF

EA, D

Ps

TSM

P do

cum

ent

appr

oved

and

op

erat

iona

l; Pr

ojec

t do

cum

ent s

igne

d

Effic

ient

and

ef

fect

ive

impl

emen

tatio

n of

TS

MP

FSe

cure

fund

ing

for T

SMP

Impl

emen

tatio

n

Prov

ision

of e

nabl

ing

envir

onm

ent f

or im

prov

ed

publ

ic se

rvice

del

ivery

(C

3G3)

D

ecem

ber,

2010

5 Ye

ars

NBS

, OCG

S M

oFEA

, DPs

Sust

ained

TSM

P fu

ndin

g du

ring

the

proj

ect

impl

emen

tatio

n

F

Des

ign

and

impl

emen

t ag

reed

fina

ncial

m

anag

emen

t and

di

sbur

sem

ent a

rran

gem

ents

Esta

blish

App

ropr

iate

Mec

hani

sm fo

r fina

ncial

m

anag

emen

t and

di

sbur

sem

ent (

C3.G

3)

10

,000

40,0

0050

,000

Dec

embe

r, 20

105

Year

sN

BS, O

CGS

MoF

EA, D

Ps

TSM

P fin

ancia

l m

anag

emen

t pr

oced

ures

an

d gu

idel

ines

es

tabl

ished

FEs

tabl

ish C

oord

inat

ion

depa

rtm

ent a

t NBS

and

O

CGS

Prov

ide

effe

ctive

pub

lic

serv

ice fr

amew

ork

(C3.

G3)

Dec

embe

r, 20

101

Year

N

BS, O

CGS

MoF

EA, D

Ps

Coor

dina

tion

depa

rtm

ents

es

tabl

ished

at N

BS

and

OCG

S

F

Iden

tify

and

cont

ract

co

nsul

tanc

y se

rvice

s on

proj

ect c

oord

inat

ion,

hum

an

reso

urce

, pro

cure

men

t, fin

ance

, IT

and

M&

E

Ensu

re C

oord

inat

ion

depa

rtm

ent

staf

f are

tra

nspa

rent

ly m

anag

ed

in th

e be

st in

tere

sts o

f st

akeh

olde

rs (G

3.C3

)

13

6,80

027

3,60

041

0,40

0D

ecem

ber,

2010

18 m

onth

sN

BS, O

CGS

MoF

EA, D

PsPr

ojec

t Con

sulta

nts

in p

lace.

TSMP_V3.indd 64 15/02/11 09:17


Annexes

TAB

LE 1

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA M

AIN

LAN

D

STAT

CAP

COD

EPR

OG

RAM

MED

ST

ATIS

TICA

L AC

TIV

ITIE

S

OBJ

ECTI

VES

LIN

KED

TO

NSG

RP C

LUST

ER /

G

OA

LS A

ND

MD

GS

BUD

GET

IMPL

EMEN

TATI

ON

PERF

ORM

AN

CE I

ND

ICAT

ORS

2009

/10

2010

/11

2011

/12-

2013

/14

Tot

al

Begi

nnin

g da

teRe

quire

d pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

F

Train

Coo

rdin

atio

n te

am

and

prov

ide

capa

city

(Phy

sical

Infra

stru

ctur

e,

ICT,

furn

iture

, equ

ipm

ent,

ve

hicle

s and

oth

er fa

ciliti

es)

for e

ffect

ive m

anag

emen

t of

the

proj

ect

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

71

5,50

087

3,00

01,5

88,5

00Ju

ly, 2

010

5 Ye

ars

NBS

, OCG

SM

oID

Coor

dina

tion

depa

rtm

ent

adeq

uate

ly eq

uipp

ed

Effic

ient

and

ef

fect

ive

impl

emen

tatio

n of

TS

MP

F

Esta

blish

and

ope

ratio

naliz

e im

plem

enta

tion

m

echa

nism

s (TS

MP

stee

ring

com

mitt

ee, a

nd te

chni

cal

work

ing

grou

ps)

Prov

ision

of e

nabl

ing

envir

onm

ent f

or im

prov

ed

publ

ic se

rvice

del

ivery

(C

3G3)

15,0

0020

0,00

067

3,50

088

8,50

0Ju

ne, 2

010

5 Ye

ars

NBS

, OCG

S M

DAs,

DPs

TS

MP

impl

emen

tatio

n m

echa

nism

in p

lace

F

Esta

blish

effe

ctive

m

onito

ring

and

evalu

atio

n m

echa

nism

inclu

ding

ann

ual

and

mid

term

rev

iew

s

Prov

ision

of e

nabl

ing

envir

onm

ent f

or im

prov

ed

publ

ic se

rvice

del

ivery

(C

3G3)

92

,000

30,0

0012

2,00

0D

ecem

ber,

2010

5 Ye

ars

NBS

, OCG

S M

DAs,

DPs

M

onito

ring

and

evalu

atio

n m

echa

nism

in p

lace

Tot

al4,

011,

237

19,3

71,13

532

,484

,788

55,8

67,16

0

TSMP_V3.indd 65 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

A

. IN

STIT

UTI

ON

AL

DEV

ELO

PMEN

T61

,130

78,8

7014

0,00

0

A

Revis

e St

atist

ics A

ct to

pr

ovid

e fo

r aut

onom

y, be

tter o

rgan

izatio

nal

stru

ctur

e, a

utho

rity

for

coor

dina

tion

and

appr

oval,

an

d ac

cess

to m

icro

data

Offi

cial s

tatis

tics

prod

uctio

n an

d se

rvice

de

liver

y ef

fect

ively

coor

dina

ted

unde

r a w

ell

stru

ctur

ed

auto

nom

ous

OCG

S

ARe

view

OCG

S or

gano

gram

re

flect

ing

its ro

le in

the

NSS

25

,397

2500

050

,397

July,

201

01

Year

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

Re

-str

uctu

red

orga

nogr

am

AEn

hanc

e pr

ofile

and

au

tono

my

of O

CGS

Intro

duce

effe

ctive

St

atist

ical S

ervic

e Fr

amew

ork

for s

ervic

e de

liver

y im

prov

emen

t (C

3G3)

8,

870

8,87

0D

ecem

ber,

2010

5 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

Atto

rney

G

ener

al Ch

ambe

r

Awar

enes

s rais

ing

on

Auto

nom

y of

OCG

S

ASt

reng

then

colla

bora

tion

betw

een

NBS

and

OCG

S

8,96

5

8,96

5Se

ptem

ber,

2010

1 Y

ear

OCG

S,

Stat

istica

l se

rvice

s

A

Impr

ove

coop

erat

ion

and

coor

dina

tion

betw

een

gove

rnm

ent b

odie

s in

volve

d in

stat

istica

l ac

tiviti

es

O

CGS,

St

atist

ical

serv

ices

MDA

s

A

Esta

blish

NSS

with

ap

prop

riate

org

aniza

tiona

l st

ruct

ure

to h

andl

e ef

fect

ively

stat

istica

l pl

anni

ng, c

oord

inat

ion

and

supe

rvisi

on to

mat

ch w

ith

prio

ritie

s

Ratio

naliz

e st

ruct

ure

5,00

03,

000

8,00

0D

ecem

ber,

2010

4 Ye

ars

OCG

S,

Stat

istica

l se

rvice

s

Loca

l Co

nsul

tant

NSS

boa

rd a

nd O

CGS

esta

blish

ed a

nd

oper

atio

nal

TSMP_V3.indd 66 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

A

Esta

blish

mec

hani

sm

for e

ffect

ive d

ialog

ue

with

dat

a us

ers a

nd d

ata

prod

ucer

s thr

ough

(a)

Advis

ory

Foru

m (b

) Use

r -

Prod

ucer

nat

iona

l/re

gion

al wo

rksh

ops

To im

prov

e m

onito

ring

and

evalu

atio

n of

go

vern

ance

act

ivitie

s (C

3G9)

6,03

55,

000

11,0

35D

ecem

ber,

2010

4 Ye

ars

OCG

S,

Stat

istica

l se

rvice

s

Use

rs a

nd

Prod

ucer

s of

Stat

istics

Stat

istica

l adv

isory

and

U

ser -

Pro

duce

r for

a

esta

blish

ed

Offi

cial s

tatis

tics

prod

uctio

n an

d se

rvice

de

liver

y ef

fect

ively

coor

dina

ted

unde

r a w

ell

stru

ctur

ed

auto

nom

ous

OCG

S

A

Prom

ote

awar

enes

s and

es

tabl

ish in

stru

men

ts a

nd

proc

edur

es to

seek

requ

ired

finan

cing

Esta

blish

ade

quat

e m

onito

ring

and

evalu

atio

n m

echa

nism

3,50

09,

000

12,5

00D

ecem

ber,

2010

4 Ye

ars

OCG

S,

Stat

istica

l se

rvice

sN

BS

Awar

enes

s wor

ksho

ps/

mee

tings

’ pro

ceed

ings

an

d re

port

s pub

lishe

d fo

r sta

keho

lder

s in

the

NSS

A

Carr

y ou

t sta

tistic

al ad

voca

cy a

nd a

war

enes

s ca

mpa

ign

for s

ensit

izatio

n on

the

impo

rtan

ce o

f st

atist

ics

To e

nhan

ce p

ublic

aw

aren

ess a

nd

info

rmat

ion

shar

ing

(C3G

8)

7,233

13,0

0020

,233

Dec

embe

r, 20

104

Year

sO

CGS,

St

atist

ical

serv

ices

MDA

s, N

ews

Med

ia

Awar

enes

s wor

ksho

ps/

mee

tings

’ pro

ceed

ings

an

d re

port

s pub

lishe

d fo

r sta

keho

lder

s in

the

NSS

A

Intro

duce

mea

sure

s to

supp

ort

MDA

s and

ot

her o

rgan

izatio

ns u

sing

stat

istics

for m

onito

ring

and

evalu

atio

n

To in

crea

se th

e ca

pacit

y to

per

form

M&

E ac

ross

go

vern

men

t (C3

G9)

5000

1000

015

000

Janu

ary,

2011

4 Ye

ars

OCG

S,

Stat

istica

l se

rvice

s

MDA

s, N

ews

Med

ia

Mea

sure

s for

M

onito

ring

and

Evalu

atio

n Se

t and

D

ocum

ente

d

AEs

tabl

ish st

atist

ical c

adre

Effe

ctive

nat

iona

l st

atist

ical c

adre

with

in

NSS

est

ablis

hed

(C3G

3)5,

000

5,00

0D

ecem

ber,

2011

1 Ye

ar

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

MDA

sCo

mm

on S

tatis

tical

Cadr

e in

plac

e

B H

UM

AN

RES

OU

RCE

DEV

ELO

PMEN

T

482,

335

400,

000

882,

335

TSMP_V3.indd 67 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

B

Refo

rm p

ay st

ruct

ure

and

enha

nce

pay

with

in a

new

in

cent

ives a

nd p

erfo

rman

ce

man

agem

ent s

yste

m

Esta

blish

effe

ctive

se

rvice

fram

e wo

rk a

nd

ratio

naliz

e re

mun

erat

ion

to in

trodu

ce co

mpe

titive

co

mpe

nsat

ion

(C3G

3)

12,0

0013

,000

25,0

00Ja

nuar

y,

2011

4 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

MoF

EAJo

b ev

aluat

ion

repo

rt

and

pay

stru

ctur

e in

pl

ace

Enha

nced

wor

king

en

viron

men

t and

ca

pacit

y fo

r HR

to

prod

uce

quali

ty st

atist

ics

BAt

tract

and

reta

in

com

pete

nt st

aff w

ithin

NSS

Esta

blish

effe

ctive

se

rvice

fram

e wo

rk a

nd

ratio

naliz

e re

mun

erat

ion

to in

trodu

ce co

mpe

titive

co

mpe

nsat

ion

(C3G

3)

5,00

010

,000

15,0

00O

ctob

er,

2011

4 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

MoF

EARe

tent

ion

sche

me

in

plac

e

BD

evel

op m

anag

emen

t ski

lls

thro

ugh

tra

inin

g in

NSS

Ca

pacit

y bu

ildin

g am

ong

NSS

staf

f5,

000

10,0

0015

,000

Janu

ary,

2011

4 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

MDA

sN

umbe

r of s

taff

train

ed

in m

anag

emen

t ski

lls

annu

ally

BBu

ild c

apac

ity fo

r da

ta

analy

sisTo

impr

ove

the

tech

nica

l ca

pacit

y fo

r dat

a an

alysis

13,0

0022

,000

35,0

00Ja

nuar

y, 20

114

Year

sO

CGS,

St

atist

ical

Serv

iceM

DAs

Num

ber o

f sta

ff tra

ined

in

dat

a an

alysis

ann

ually

BO

n th

e jo

b tra

inin

g fo

r N

SS st

aff

Capa

city

build

ing

amon

g N

SS st

aff

10,0

0015

,000

25,0

00Fe

brua

ry,

2011

4 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

MDA

sN

umbe

r of s

taff

Train

ed

B

Vita

l Sta

tistic

s: Tr

ain st

aff

for a

nalys

is an

d re

port

ing

Shor

t-ter

m tr

ainin

gs a

nd

atta

chm

ents

Capa

city

build

ing

amon

g Re

gist

rar G

ener

al’s a

nd

OCG

S st

aff o

n vit

al st

atist

ics

189,1

00

189,1

00 N

ovem

ber,

2010

2 Y

ears

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Reg

ister

s G

ener

al O

ffice

, N

umbe

r of s

taff

Train

ed

BVi

tal S

tatis

tics:

Stud

y vis

its10

5,00

0

105,

000

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Reg

ister

s G

ener

al O

ffice

,

Stud

y to

ur r

epor

t in

plac

e

BVi

tal S

tatis

tics:

loca

l re

gist

rars

train

ings

, 13

,235

13

,235

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Reg

ister

s G

ener

al O

ffice

, N

umbe

r of s

taff

Train

ed

TSMP_V3.indd 68 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

B

Spon

sor s

taff

on

spec

ialise

d co

urse

s rel

evan

t to

stat

istics

at

hom

e an

d ab

road

Capa

city

build

ing

for

OCG

S st

affs

30,0

0030

,000

60,0

00Fe

brua

ry,

2011

4 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

N

umbe

r of s

taff

train

ed

annu

ally

BTr

ain s

taff

from

cat

egor

y A

MDA

s in

data

ana

lysis

and

stat

istica

l rep

ort w

ritin

g

Capa

city

Build

ing

in d

ata

analy

sis a

nd R

epor

ting

50,0

0050

,000

100,

000

Dec

embe

r, 20

104

Year

sO

CGS,

St

atist

ical

Serv

iceM

DAs

Num

ber o

f sta

ff fro

m

cate

gory

A M

DAs

train

ed in

dat

a an

alysis

an

d st

atist

ical r

epor

t w

ritin

g an

nuall

y

Enh

ance

d wo

rkin

g en

viron

men

t and

ca

pacit

y fo

r HR

to

prod

uce

quali

ty st

atist

ics

B

Train

staf

f fro

m c

ateg

ory

B M

DAs i

n da

ta co

llect

ion,

pr

oces

sing

and

stat

istica

l re

port

writ

ing

Capa

city

Build

ing

in d

ata

colle

ctio

n an

d pr

oces

sing

50,0

0025

0,00

030

0,00

0D

ecem

ber,

2010

4 Ye

ars

OCG

S,

Stat

istica

l Se

rvice

MDA

s

Num

ber o

f sta

ff fro

m

cate

gory

B M

DAs

train

ed in

dat

a an

alysis

an

d st

atist

ical r

epor

t w

ritin

g an

nuall

y

C D

EVEL

OPM

ENT

OF

STAT

ISTI

CAL

INFR

AST

RUCT

URE

104,

048

290,

952

395,

000

C

Stre

ngth

en co

vera

ge,

upda

te a

nd m

ainte

nanc

e of

bus

ines

s reg

ister

and

en

hanc

e us

es

Prov

ide

sam

plin

g fra

me

to e

stab

lishm

ent b

ased

su

rvey

s (G

DD

S)9,

048

20,9

5230

,000

Dec

embe

r, 20

104

Year

sO

CGS,

Ec

onom

ic St

atist

ics

Upd

ated

Bus

ines

s Re

gist

er

Har

mon

ized

and

impr

oved

dat

a pr

oduc

tion

with

in N

SS

CIm

prov

e VA

T da

taba

se to

m

ake

it us

er o

rient

ed

Impr

ove

the

perfo

rman

ce

and

capa

bilit

ies o

f IT

and

data

base

man

agem

ent

func

tions

at Z

anzib

ar

15

,000

15,0

00D

ecem

ber,

2010

4 Ye

ars

OCG

S,

Econ

omic

Stat

istics

Zanz

ibar

Re

venu

e Bo

ard

(ZRB

)VA

T da

taba

se‘

CU

pdat

e co

mpe

ndiu

m o

f co

ncep

ts d

efini

tions

and

m

etho

dolo

gies

OCG

S,

Stat

istica

l Se

rvice

CAd

optio

n of

Upd

ated

In

tern

atio

nal S

tatis

tical

Clas

sifica

tions

OCG

S,

Stat

istica

l Se

rvice

TSMP_V3.indd 69 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

CSp

atia

l Dat

a Sy

stem

Dev

elop

men

t

CD

igita

l car

togr

aphy

for

2012

Pop

ulat

ion

Cens

us

CCr

eate

shap

e fil

es fo

r EA

boun

darie

s

Impr

oved

usa

ge o

f ce

nsus

geo

grap

hic

fram

e

C

Popu

late

basic

GIS

dat

a w

ith in

form

atio

n on

so

cial s

ecto

rs a

nd o

ther

in

frast

ruct

ure

Prov

idin

g to

ol ta

rget

ed

for u

ser s

ecto

rs

100,

000

100,

000

Dec

embe

r, 20

114

Year

s

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

NBS

Popu

lated

GIS

dat

a in

pl

ace

CEs

tabl

ish N

atio

nal S

patia

l Dat

a In

frast

ruct

ure

CFin

alize

NSD

I pol

icy

Effe

ctive

util

izatio

n of

G

IS to

ols i

n ev

iden

ce

base

d pl

anni

ng a

nd

decis

ion

mak

ing

CCr

eate

a n

atio

nal G

IS

data

base

Esta

blish

and

main

tain

the

mas

ter s

ampl

e fra

me

of

the

OCG

S

10,0

0010

,000

Dec

embe

r, 20

104

Year

s

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

NBS

(C

arto

grap

hy

Uni

t)

Esta

blish

ed N

atio

nal G

IS

data

base

CEs

tabl

ish G

IS U

nit i

n O

CGS

Esta

blish

dat

a pr

oces

sing

infra

stru

ctur

e ca

pabl

e of

ap

plyin

g G

IS te

chno

logy

50,0

00

7

0,00

0 12

0,00

0D

ecem

ber,

2010

4 Ye

ars

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

NBS

(C

arto

grap

hy

Uni

t)

GIS

uni

t est

ablis

hed

in

OCG

S

Effe

ctive

util

izatio

n of

G

IS to

ols i

n ev

iden

ce

base

d pl

anni

ng a

nd

decis

ion

mak

ing

CIn

tegr

ate

rout

ine

data

from

M

DAs a

nd LG

As in

GIS

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

CEs

tabl

ish st

ruct

ures

with

M

DAs a

nd LG

As to

kee

p sp

atial

dat

a up

to d

ate

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Dev

elop

cap

acity

in sp

atial

da

ta m

anag

emen

t and

an

alysis

To p

rodu

ce G

IS to

ols

for

polic

y an

d de

cisio

n m

aker

s10

,000

10,0

0020

,000

Dec

embe

r, 20

104

Year

s

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

NBS

, D

epar

tmen

t of

Land

GIS

Too

ls D

evel

oped

‘

TSMP_V3.indd 70 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

Dev

elop

pro

cedu

res

and

rout

ines

for u

sing

GIS

tech

nolo

gies

in d

ata

colle

ctio

n an

d co

mpi

latio

n at

NBS

and

OCG

S

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

C

Impl

emen

tatio

n an

d D

evel

opm

ent o

f NSD

I th

roug

h sp

atial

sect

or

Wor

king

Gro

up(p

riorit

y M

DA w

ill in

clude

Hea

lth,

Educ

atio

n, L

ands

, Wat

er,

Agr/

lives

tock

)

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

CU

se sp

atia

l dat

a in

dec

ision

mak

ing

CSe

nsiti

ze u

ses o

f spa

tial d

ata

in d

ecisi

on m

akin

g

Org

anize

wor

ksho

ps a

nd

pres

enta

tions

to v

ario

us

user

s 10

,000

10,0

0020

,000

April

, 201

14

Year

s

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Wor

ksho

p re

port

s pr

oduc

ed o

n th

e av

ailab

ility

and

use

of

spat

ial d

ata

Effe

ctive

util

izatio

n of

G

IS to

ols i

n ev

iden

ce

base

d pl

anni

ng a

nd

decis

ion

mak

ing

CTr

ain p

lanne

rs a

nd d

ecisi

on

mak

ers o

n G

IS to

ols f

or

thei

r effe

ctive

use

Org

anize

zona

l tra

inin

g wo

rksh

ops a

nd

pres

enta

tions

to v

ario

us

user

s

10,0

0020

,000

30,0

00Ap

ril, 2

011

4 Ye

ars

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Wor

ksho

p re

port

s pr

oduc

ed o

n th

e av

ailab

ility

and

use

of

spat

ial d

ata

C

Prod

uce

and

diss

emin

ate

pove

rty

map

s and

oth

er

tool

s thr

ough

nat

iona

l we

bsite

and

oth

er m

eans

Awar

enes

s of p

over

ty

map

s to

publ

ic15

,000

35,0

0050

,000

April

, 201

14

Year

s

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Po

vert

y m

aps p

rodu

ced

and

diss

emin

ated

to

stak

ehol

ders

Effe

ctive

util

izatio

n of

G

IS to

ols i

n ev

iden

ce

base

d pl

anni

ng a

nd

decis

ion

mak

ing

DD

ATA

DEV

ELO

PMEN

T A

ND

DIS

SEM

INAT

ION

1,

002,

483

1,54

4,11

62,

546,

599

Im

prov

ing

curr

ent s

tatis

tics

TSMP_V3.indd 71 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DD

evel

op c

apac

ity fo

r im

prov

ing

data

qua

lity

To d

evel

op a

nd p

rom

ote

use

of st

atist

ical s

tand

ards

an

d ap

prop

riate

m

etho

dolo

gies

in th

e Za

nzib

ar st

atist

ical

syst

em.

5,00

0 10

,000

15

,000

Dec

embe

r, 20

114

Year

sO

CGS,

St

atist

ical

Serv

ices

N

umbe

r of d

ata

prod

ucer

s tra

ined

in

impr

ovin

g da

ta q

ualit

y

Impr

oved

qua

lity

and

ef

fect

ive u

se o

f sta

tistic

s w

ithin

NSS

DD

evel

op c

apac

ity fo

r im

prov

ing

data

qua

lity

To d

evel

op a

nd p

rom

ote

use

of st

atist

ical s

tand

ards

an

d ap

prop

riate

m

etho

dolo

gies

in th

e Za

nzib

ar st

atist

ical

syst

em.

O

CGS,

St

atist

ical

Serv

ices

DD

evel

op c

apac

ity to

in

terp

ret d

ata

from

di

ffere

nt so

urce

s

Empo

wer d

ata

user

s with

da

ta in

terp

reta

tion

skill

s10

,000

25,0

0035

,000

Dec

embe

r, 20

104

Year

sO

CGS,

St

atist

ical

Serv

ices

MDA

sD

ata

user

s equ

ippe

d w

ith d

ata

inte

rpre

tatio

n sk

ills

Impr

oved

qua

lity

and

ef

fect

ive u

se o

f sta

tistic

s w

ithin

NSS

DSe

t up

a sy

stem

for

quali

ty

assu

ranc

e w

ithin

the

NSS

Empo

wer d

ata

prod

ucer

s an

d ot

her s

take

hold

ers

with

dat

a qu

ality

as

sura

nce

skill

s

100,

000

100,

000

July,

201

14

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sO

CGS,

St

atist

ical

Serv

ices

DIn

stitu

te in

depe

nden

t in

tern

al da

ta a

udits

15,0

0015

,000

July,

201

14

Year

sO

CGS,

St

atist

ical

Serv

ices

MDA

sD

ata

Audi

t Rep

orts

on

Qua

lity

Assu

ranc

e

DCo

nduc

t valu

e fo

r mon

ey

stud

ies o

n ut

iliza

tion

of

reso

urce

s

Carr

y ou

t Valu

e fo

r M

oney

Stu

dies

to

Mea

sure

Effi

cienc

y in

U

tiliza

tion

of R

esou

rces

10,0

0010

,000

20,0

00M

ay, 2

010

4 Ye

ars

OCG

S,

Stat

istica

l Se

rvice

sM

DAs

Repo

rts o

n va

lue

for

mon

ey S

tudi

es o

n ut

iliza

tion

of p

roje

ct /

N

SS re

sour

ces p

rodu

ced

DAs

sess

ade

quac

y an

d ef

ficie

ncy

of h

ouse

hold

su

rvey

pro

gram

me

Cond

uct A

sses

smen

t of

Adeq

uacy

and

Effi

cienc

y of

Hou

seho

ld S

urve

y Pr

ogra

mm

e

10,0

0010

,000

Dec

embe

r, 20

114

Year

sO

CGS,

St

atist

ical

Serv

ices

MDA

sH

ouse

hold

Sur

vey

Asse

ssm

ent R

epor

t pr

oduc

ed

TSMP_V3.indd 72 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DCo

nduc

t ind

epen

dent

ex

tern

al da

ta a

udits

To d

evel

op a

nd p

rom

ote

use

of st

atist

ical s

tand

ards

an

d ap

prop

riate

m

etho

dolo

gies

in th

e Za

nzib

ar st

atist

ical

syst

em.

5,00

010

,000

15,0

00M

ay, 2

011

4 Ye

ars

OCG

S,

Stat

istica

l Se

rvice

sM

DAs

Qua

lity

assu

ranc

e Re

port

s are

in p

lace

DSt

reng

then

Tan

zani

a So

cio

Econ

omic

Dat

abas

e (T

SED

)

To d

evel

op a

nd m

ainta

in

a co

mpr

ehen

sive

socio

-ec

onom

ic Za

nzib

ar D

ata

Bank

.

70,0

0030

,000

100,

000

Oct

ober

, 20

10 4

Yea

rsO

CGS,

St

atist

ical

Serv

ices

MDA

s

Staf

f fro

m M

DAs t

rain

ed

on T

SED

, ind

icato

rs

upda

ted

with

met

adat

a an

d ha

rmon

ized

with

in

NSS

DSt

reng

then

colle

ctio

n an

d co

mpi

latio

n of

rout

ine

data

In

dica

tors

of A

gricu

lture

G

row

th (C

1G2

(GD

DS)

30,0

0070

,000

100,

000

Dec

embe

r, 20

104

Yea

rsO

CGS,

NBS

MDA

sAn

nual

Inde

x of

Ag

ricul

ture

Pro

duct

ion

Rele

ased

Impr

oved

qua

lity

and

ef

fect

ive u

se o

f sta

tistic

s w

ithin

NSS

D

Impr

ove

data

qua

lity

at c

ateg

ory

A M

DAs

by st

reng

then

ing

data

co

llect

ion,

com

pilat

ion

and

repo

rtin

g

Stre

ngth

en/E

stab

lish

rout

ine

data

syst

ems

D

ecem

ber,

2009

4 Y

ears

OCG

S,

Stat

istica

l Se

rvice

s

Stre

ngth

ened

stat

istica

l an

d op

erat

iona

l pr

oces

ses a

t cat

egor

y A

MDA

s

D

Impr

ove

data

qua

lity

at c

ateg

ory

B M

DAs

by st

reng

then

ing

data

co

llect

ion,

com

pilat

ion

and

repo

rtin

g

Stre

ngth

en re

port

ing

of

rout

ine

data

syst

em

30,0

0050

,000

80,0

00M

arch

, 201

14

Yea

rsO

CGS,

St

atist

ical

Serv

ices

O

rgan

ized

and

stre

ngth

ened

stat

istica

l un

its a

nd o

pera

tiona

l

N

atio

nal A

ccou

nts

DRe

base

GD

P 20

07

To p

rovid

e G

DP

grow

th ra

te to

pro

mot

e su

stain

able

and

bro

ad

base

s gro

wth

(C1G

2.1)

(GD

DS)

94,4

9510

5,50

520

0,00

0Se

ptem

ber,

2010

5 Y

ears

OCG

S,

Econ

omic

Stat

istics

MoF

EA, B

OT

TRA

othe

r M

DAs

Reba

sed

GD

P

Pr

ice St

atist

ics

TSMP_V3.indd 73 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DRe

base

CPI

to 2

007

To p

rovid

e G

DP

grow

th ra

te to

pro

mot

e su

stain

able

and

bro

ad

base

s gro

wth

(C1G

2.1)

(GD

DS)

OCG

S,

Econ

omic

Stat

istics

Annu

al re

base

d G

DP

grow

th a

nd co

mpo

sitio

n re

leas

ed w

ithin

six

mon

ths

Impr

oved

qua

lity

and

ef

fect

ive u

se o

f sta

tistic

s w

ithin

NSS

DRe

base

PPI

(of

man

ufac

turin

g) to

200

7

Pro

vide

Inpu

ts fo

r GD

P gr

owth

rate

to p

rom

ote

sust

ainab

le a

nd b

road

ba

sed

grow

th (C

1G2)

24,0

006,

000

30,0

00Se

ptem

ber,

2010

4 Y

ears

OCG

S,

Econ

omic

Stat

istics

MoF

EA, B

OT

Reba

sed

PPI d

ocum

ent

in p

lace

Pr

oduc

tion

Stat

istics

D

Reba

se P

rodu

ctio

n In

dex

of M

anuf

actu

ring

(PIM

) to

200

7 an

d im

prov

e its

pe

riodi

city

and

timel

ines

s

To m

onito

r gro

wth

in

man

ufac

turin

g

prod

uctio

n (C

1G2)

10

,000

10

,000

Sept

embe

r, 20

101

Year

OCG

S,

Econ

omic

Stat

istics

Min

istry

of

Indu

strie

s

Reba

sed

and

Impr

oved

Q

uart

erly

Prod

uctio

n In

dex

of M

anuf

actu

ring

(PIM

)

Impr

oved

qua

lity

and

ef

fect

ive u

se o

f sta

tistic

s w

ithin

NSS

To

urism

Stat

istics

DEs

tabl

ish T

ouris

m D

atab

ase

Impr

ove

stru

ctur

e an

d pe

rform

ance

of t

ouris

m

sect

or (C

1G1)

14,7

0065

,300

80,0

00D

ecem

ber,

2010

4 Y

ears

OCG

S,

Econ

omic

Stat

istics

Com

miss

ion

for T

ouris

mTo

urism

Dat

abas

e in

pl

ace.

Impr

oved

qua

lity

and

ef

fect

ive u

se o

f sta

tistic

s w

ithin

NSS

DSt

reng

then

Tou

rism

In

dica

tors

Impr

ove

stru

ctur

e an

d pe

rform

ance

of t

ouris

m

sect

or (C

1G1)

40,0

0080

,000

120,

000

May

, 201

14

Year

sO

CGS,

Ec

onom

ic St

atist

ics

Com

miss

ion

for T

ouris

m

Tour

ism in

dica

tors

co

mpi

led,

doc

umen

ted

and

diss

emin

ated

m

onth

ly an

d an

nuall

y

DPl

anne

d C

ensu

ses a

nd S

urve

ys

DCo

nduc

t em

ploy

men

t and

ea

rnin

gs su

rvey

s

To st

reng

then

Rou

tine

Dat

a sy

stem

and

impr

ove

natio

nal a

ccou

nts

com

pilat

ion

14,4

7021

,530

36,0

00Ap

ril; 2

011

4 Y

ears

OCG

S,

Econ

omic

Stat

istics

Em

ploy

men

t and

Ea

rnin

g Re

port

DU

pdat

e su

rvey

s of

econ

omic

cond

ition

s Im

prov

e tim

ely

info

rmat

ion

diss

emin

atio

n30

,000

31,4

2561

,425

Dec

embe

r, 20

104

Yea

rsO

CGS,

Ec

onom

ic St

atist

icsM

DAs

Annu

al Ec

onom

ic Su

rvey

tabl

es P

rodu

ced

TSMP_V3.indd 74 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DIn

tegr

atio

n of

HBS

/NPS

/LF

S in

eco

nom

ic st

atist

ics

Redu

ce p

ropo

rtio

n of

rura

l and

urb

an

popu

latio

n be

low

the

pove

rty

line

(C1G

4)

(C1G

5)

94,4

1369

,587

164,

000

Dec

embe

r, 20

105

Year

s

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

Plan

ning

, M

inist

ry o

f La

bour

Har

mon

ized

stat

istics

on

rura

l an

d ur

ban

popu

latio

n be

low

po

vert

y lin

e co

mpi

led

regu

larly

DH

ouse

hold

Bud

get S

urve

y (H

BS)

44

,413

44

,413

Dec

embe

r; 20

101

Year

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

D

Stre

ngth

en E

cono

mic

Surv

eys (

Annu

al Su

rvey

of

Indu

stria

l Pro

duct

ion,

Tra

de

Stat

istics

, Con

stru

ctio

n St

atist

ics B

usin

ess

Ente

rpris

e Su

rvey

)

To m

onito

r gro

wth

in

eman

atin

g fro

m v

ario

us

econ

omic

sect

ors (

C1G

2)

(GD

DS)

116,

091

210,

000

326,

091

Dec

embe

r, 20

105

Year

sO

CGS,

Ec

onom

ic St

atist

icsM

DAs

Econ

omic

Surv

eys

Cond

ucte

d, co

mpi

led

and

diss

emin

ated

DSu

rvey

of C

onst

ruct

ion,

Tr

ade

and

Tran

spor

t

146,

526

14

6,52

6 D

ecem

ber,

2010

1 Y

ear

OCG

S,

Econ

omic

Stat

istics

D R

evise

and

Impl

emen

t Ce

nsus

of A

gricu

lture

To p

rovid

e a

fram

ewor

k fo

r Agr

icultu

ral s

ampl

e su

rvey

39

7,501

397,5

01D

ecem

ber,

2011

1 Ye

arO

CGS,

Ec

onom

ic St

atist

ics

Min

istry

of

Agric

ultu

re,

Live

stoc

k an

d En

virom

ent

(MAL

E)

Agric

ultu

re C

ensu

s Re

port

s Pro

duce

d

DCo

nduc

t Rap

id A

ppra

isal

Agric

ultu

re S

urve

ys

147,2

6814

7,268

Dec

embe

r, 20

111

Year

O

CGS,

Ec

onom

ic St

atist

ics

DVi

tal S

tatis

tics:

Dat

a pr

oduc

tion

(ent

ry) a

nd

man

agem

ent

11

4,80

0

114,

800

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

RGO

DIn

itiat

ion

of n

ew co

mpi

latio

n

TSMP_V3.indd 75 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

DD

evel

op Q

uart

erly

GD

P co

mpi

latio

n m

etho

dolo

gy

and

estim

ates

28,5

75

28,5

75Au

gust

, 201

0 1

Yea

rO

CGS,

Ec

onom

ic St

atist

ics

DD

ata

diss

emin

atio

n

DRe

vise

data

diss

emin

atio

n an

d ac

cess

pol

icy to

mee

t in

tern

atio

nal s

tand

ards

To e

nhan

ce p

ublic

aw

aren

ess a

nd

info

rmat

ion

shar

ing

(C3.

G8.

2)

20,0

0020

,000

40,0

00Se

ptem

ber,

2010

4 Ye

ars

OCG

S,

Stat

istica

l Se

rvice

sM

DAs

Dat

a D

issem

inat

ion

Polic

y in

plac

e

Impr

oved

acc

ess t

o in

form

atio

n on

pub

lic

serv

ice d

elive

ry

DIm

prov

e N

BS a

nd O

CGS

info

rmat

ion

syst

ems a

nd

webs

ites

To e

nhan

ce p

ublic

aw

aren

ess a

nd

info

rmat

ion

shar

ing

(C3.

G8.

2)

10,0

0010

,000

20,0

00D

ecem

ber,

2010

4 Y

ears

OCG

S,

Stat

istica

l Se

rvice

sJu

ly,20

10 E

nhan

ced

Ope

ratio

ns

of N

BS a

nd O

CGS

webs

ites

Impr

oved

acc

ess t

o in

form

atio

n on

pub

lic

serv

ice d

elive

ry

D

Dev

ise p

ublic

atio

ns a

nd

serv

ices p

olicy

, rel

ease

ca

lend

ars a

nd m

arke

ting

proc

edur

es

10

,000

10

,000

OCG

S,

Stat

istica

l Se

rvice

s

DIn

itiat

e Co

mm

unity

-bas

ed

Man

agem

ent I

nfor

mat

ion

Syst

em (C

MIS

)

30,0

0050

,000

80,0

00

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

DPr

omot

e aw

aren

ess a

nd u

se

of st

atist

ics a

t dist

rict l

evel

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

E P

HYS

ICA

L IN

FRA

STRU

CTU

RE A

ND

EQ

UIP

MEN

T1,

762,

995

2,11

7,00

53,

880,

000

ED

esig

n an

d co

nstr

uct a

new

bu

ildin

g fo

r OCG

S

To h

ave

cond

ucive

an

d ad

equa

te w

orki

ng

envir

onm

ent a

nd sp

ace

832,

000

1,168

,000

2,00

0,00

0Ju

ly;20

105

Year

s

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

N

ew B

uild

ing

for O

CGS

in p

lace

Impr

oved

wor

king

co

nditi

on, r

outin

e da

ta sy

stem

s and

en

hanc

ed a

cces

sibili

ty o

f in

form

atio

n th

roug

h IC

T an

d e-

gove

rnm

ent

TSMP_V3.indd 76 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

EEs

tabl

ish N

atio

nal D

ata

Proc

essin

g Ce

ntre

(ND

PC)

in Z

anzib

ar

To e

stab

lish

com

mun

ity

base

ICT

serv

ices a

nd

netw

orki

ng (C

1G1)

100,

000.

0010

0,00

0.00

200,

000

Sept

embe

r, 20

104

Year

sO

CGS,

St

atist

ical

Serv

ices

MoF

EA, M

DAs

Nat

iona

l dat

a pr

oces

sing

cent

re in

plac

e

Impr

oved

wor

king

co

nditi

on, r

outin

e da

ta sy

stem

s and

en

hanc

ed a

cces

sibili

ty o

f in

form

atio

n th

roug

h IC

T an

d e-

gove

rnm

ent

E

Vita

l Sta

tistic

s: Es

tabl

ish

data

pro

cess

ing

and

docu

men

tatio

n ce

ntre

to

RGO

51

0,00

0.00

440,

000.

0095

0,00

0

2 Ye

ars

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

EVi

tal S

tatis

tics:

Reno

vate

ten

dist

rict V

ital R

egist

ratio

n of

fices

in Z

anzib

ar

To h

ave

cond

ucive

an

d ad

equa

te w

orki

ng

envir

onm

ent a

nd sp

ace

70,0

00

70,0

00

OCG

S,

Dem

ogra

phic

and

Socia

l St

atist

ics

EU

pdat

e IT

infra

stru

ctur

e fo

r N

BS&

OCG

S

To e

nhan

ce p

ublic

aw

aren

ess a

nd

info

rmat

ion

shar

ing

(C3.

G8.

2)

1599

544

,005

60,0

00D

ecem

ber,

2010

5 Y

ears

OCG

S,

Stat

istica

l se

rvice

sM

DAs,

NBS

IT in

frast

ruct

ure

upda

ted

ECa

pacit

ate

OCG

S in

ca

rryin

g ou

t fiel

d da

ta

colle

ctio

n ac

tiviti

es

Inst

itutio

nal

Stre

ngth

enin

g75

,000

125,

000

200,

000

Dec

embe

r, 20

094

Year

s

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

N

umbe

r of t

rans

port

fa

ciliti

es p

rovid

ed

annu

ally

E

Proc

ure

appr

opria

te

hard

war

e /

softw

are

for

Regi

onal

Dat

a Pr

oces

sing

Cent

res i

n all

Reg

ions

OCG

S,

Stat

istica

l Se

rvice

s

EAs

sess

and

inte

grat

e re

gion

al IC

T st

ruct

ures

for

Stat

istics

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

TSMP_V3.indd 77 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

EH

arm

onize

dat

a fo

r all

MDA

s and

LGAs

Ensu

ring

equi

tabl

e ac

cess

to e

duca

tion

and

impr

ovin

g he

alth

and

well

bein

g (C

2G1.G

2)

MD

G4-

7

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

Har

mon

ize in

dica

tors

on

edu

catio

n an

d he

alth

com

pile

d an

d re

leas

ed

annu

ally

Impr

oved

wor

king

co

nditi

on, r

outin

e da

ta sy

stem

s and

en

hanc

ed a

cces

sibili

ty o

f in

form

atio

n th

roug

h IC

T an

d e

-gov

ernm

ent

E

Enha

nce

man

agem

ent

info

rmat

ion

syst

ems i

n su

ppor

t of e

-gov

erna

nce

for c

ateg

ory

A M

DAs)

To m

anag

e an

d co

ordi

nate

of a

ll st

atist

ical

sect

ions

and

uni

ts in

all

inst

itutio

ns o

f Zan

zibar

G

over

nmen

t

50,0

0030

,000

80,0

00D

ecem

ber,

2010

4 Y

ears

OCG

S,

Stat

istica

l se

rvice

sM

DAs

Com

pute

rs a

nd re

leva

nt

softw

are

supp

lied

to

cate

gory

A M

DAs a

nd

used

E

Dev

elop

man

agem

ent

info

rmat

ion

syst

em in

su

ppor

t of e

- gov

erna

nce

for c

ateg

ory

B M

DAs

To m

anag

e an

d co

ordi

nate

all

stat

istica

l se

ctio

ns a

nd u

nits

with

in

Zanz

ibar

Gov

ernm

ent

110,

000

210,

000

320,

000

Febr

uary

, 20

094

Year

sO

CGS,

St

atist

ical

serv

ices

MDA

s

Man

agem

ent

info

rmat

ion

syst

em

for c

ateg

ory

B M

DAs

in p

lace

E

Dev

elop

man

agem

ent

info

rmat

ion

syst

em in

su

ppor

t of e

- gov

erna

nce

for c

ateg

ory

C M

DAs

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

F P

ROJE

CT M

AN

AGEM

ENT

AN

D C

OO

RDIN

ATIO

N

409,

920

416,

200

826,

120

FSe

ek h

igh

leve

l app

rova

l an

d su

ppor

t for

TSM

P st

rate

gy

Esta

blish

ade

quat

e m

onito

ring

and

evalu

atio

n m

echa

nism

20,0

0020

,000

40,0

00Se

ptem

ber;

2010

4 Y

ears

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

NBS

TSM

P do

cum

ent

appr

oved

and

op

erat

iona

l; Pr

ojec

t do

cum

ent s

igne

d

Effic

ient

and

effe

ctive

im

plem

enta

tion

of

TSM

P

FSe

cure

fund

ing

for T

SMP

Impl

emen

tatio

n

Esta

blish

ade

quat

e m

onito

ring

and

evalu

atio

n m

echa

nism

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

NBS

Sust

ained

TSM

P fu

ndin

g du

ring

the

proj

ect

impl

emen

tatio

n

F

Des

ign

and

impl

emen

t ag

reed

fina

ncial

m

anag

emen

t and

di

sbur

sem

ent a

rran

gem

ents

Esta

blish

ade

quat

e m

onito

ring

and

evalu

atio

n m

echa

nism

35,8

4035

,840

71,6

80D

ecem

ber,

2010

4 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

NBS

TSM

P fin

ancia

l m

anag

emen

t pr

oced

ures

and

gu

idel

ines

est

ablis

hed

Effic

ient

and

effe

ctive

im

plem

enta

tion

of

TSM

P

TSMP_V3.indd 78 15/02/11 09:17


Annexes

TAB

LE 2

: AC

TIV

ITIE

S, O

BJE

CT

IVE,

BU

DG

ET A

ND

PER

FOR

MA

NC

E IN

DIC

ATO

RS

FOR

TA

NZ

AN

IA Z

AN

ZIB

AR

STAT

CAP

Code

Prog

ram

med

Sta

tistic

al

Activ

ities

Obj

ectiv

es (

NSG

RP

Clus

ter/

Goa

l an

d M

DG

S

Budg

etIm

plem

enta

tion

Perf

orm

ance

Indi

cato

rs

2009

/10

2010

/11

2011

/12-

to

2014

/15

Tot

alBe

ginn

ing

Dat

eRe

quire

d Pe

riod

Impl

emen

ting

Agen

cies

Co

llabo

ratin

g Ag

enci

esO

utpu

t O

utco

me

FEs

tabl

ish C

oord

inat

ion

depa

rtm

ent a

t NBS

and

O

CGS

Esta

blish

ade

quat

e m

onito

ring

and

evalu

atio

n m

echa

nism

31,6

8033

,360

65,0

40D

ecem

ber,

2010

5 Y

ear

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

NBS

Coor

dina

tion

depa

rtm

ent e

stab

lishe

d

at O

CGS

Effic

ient

and

effe

ctive

im

plem

enta

tion

of

TSM

P

F

Iden

tify

and

cont

ract

co

nsul

tanc

y se

rvice

s on

proj

ect c

oord

inat

ion,

hu

man

reso

urce

, pr

ocur

emen

t, fin

ance

, IT

an

d M

&E

Ensu

re C

oord

inat

ion

depa

rtm

ent

staf

f are

tra

nspa

rent

ly m

anag

ed

in th

e be

st in

tere

sts o

f st

akeh

olde

rs (G

3.C3

)

171,0

0014

6,00

031

7,000

Dec

embe

r, 20

105

Year

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

MO

FEA,

DPs

Proj

ect C

onsu

ltant

s in

plac

e.

F

Train

Coo

rdin

atio

n te

am

and

prov

ide

capa

city

(Phy

sical

Infra

stru

ctur

e,

ICT,

furn

iture

, equ

ipm

ent,

ve

hicle

s and

oth

er fa

ciliti

es)

for e

ffect

ive m

anag

emen

t of

the

proj

ect

Upg

radi

ng a

nd u

se o

f Te

chno

logi

es (C

1G2)

44,4

0069

,000

113,

400

Dec

embe

r, 20

105

Year

s

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

Coor

dina

tion

depa

rtm

ent a

dequ

atel

y eq

uipp

ed

F

Esta

blish

and

ope

ratio

naliz

e im

plem

enta

tion

m

echa

nism

s (TS

MP

stee

ring

com

mitt

ee, a

nd

tech

nica

l wor

king

gro

ups)

Prov

ision

of e

nabl

ing

envir

onm

ent f

or

impr

oved

pub

lic se

rvice

de

liver

y

5,00

010

,000

15,0

00D

ecem

ber,

2010

4 Y

ears

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

TSM

P im

plem

enta

tion

mec

hani

sm in

plac

e

F

Esta

blish

effe

ctive

m

onito

ring

and

evalu

atio

n m

echa

nism

inclu

ding

annu

al an

d m

id te

rm r

evie

ws

Esta

blish

effe

ctive

m

onito

ring

and

evalu

atio

n m

echa

nism

in

cludi

ng a

nnua

l and

mid

te

rm r

evie

ws

102,

000

102,

000

2040

00D

ecem

ber,

2010

5 Ye

ars

OCG

S,

Finan

ce a

nd

Adm

inist

ratio

n Se

ctio

n

Mon

itorin

g an

d ev

aluat

ion

mec

hani

sm

in p

lace

To

tal

3,82

2,91

14,

847,1

438,

670,

054

TSMP_V3.indd 79 15/02/11 09:17

TSMP_V3.indd 80 15/02/11 09:17

TANZANIA STATISTICAL MASTER PLAN 2009/10 - 2013/14 · TANZANIA STATISTICAL MASTER PLAN 2009/10 -...

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