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Better Life Initiative 2016 Country NotesFigures and Data

1. Current well-being and well-being over time

2. How's Life for Children?

3. The Value of Giving: Volunteering and Well-being

4. Going local: Measuring Well-being in Regions

1.1 Headline Indicators: Current well-being1.2 Well-being over time: Trust in others and Educational attainment

2.1 Headline Indicators: Child well-being2.2.A Inequalities in child well-being: Health status & Education and skills2.2.B Inequalities in child well-being: Civic engagement2.2.C Inequalities in child well-being: Social and family environment2.2.D Inequalities in child well-being: Personal security & Subjective well-being

3.1 Where do people volunteer? (Fields of formal volunteering)3.2 Prevalence and Frequency of formal volunteering3.3 Time people spend on formal volunteering3.4 Who volunteers in the OECD? (Breakdown of formal volunteering prevalence by education level, employment status and household income)

4.1 Regional well-being data for OECD regions4.2 Regional disparities in air pollution

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international law.

3.4 Who volunteers in the OECD? (Breakdown of formal volunteering prevalence by education level, employment status and household income)

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan

Headline indicators: values in original units

Dimension Income and Wealth Jobs and Earnings

Concept Employment Earnings Job security

Indicator

Units

Year

2013 2013 2014

ISO CountryAUS Australia 33,138 48,836 71.60 51,148 3.92 AUT Austria 31,667 55,623 71.08 45,988 2.23 BEL Belgium 28,700 89,057 61.90 48,093 3.62 CAN Canada 30,474 75,775 72.30 48,164 3.86 CHL Chile .. 18,172 62.22 .. 8.06 CZE Czech Republic 18,953 20,170 68.96 21,185 4.73 DNK Denmark 26,945 54,839 72.80 49,589 2.29 EST Estonia 16,565 15,728 69.56 21,020 7.61 FIN Finland 28,238 24,482 68.89 40,742 2.56 FRA France 29,759 53,851 64.20 40,828 4.61 DEU Germany 31,925 49,822 73.80 43,872 2.73 GRC Greece 18,099 17,568 49.42 26,436 32.03 HUN Hungary 15,614 17,774 61.78 21,399 7.85 ISL Iceland .. .. 82.23 .. 0.72 IRL Ireland 22,969 31,861 61.31 53,286 4.99 ISR Israel .. 50,051 67.86 29,635 3.86 ITA Italy 25,004 56,833 56.52 34,744 11.84 JPN Japan 27,323 92,818 72.66 35,672 2.36 KOR Korea 19,372 .. 65.35 36,653 2.12 LUX Luxembourg .. 64,500 66.64 61,511 2.11 MEX Mexico 12,806 .. 60.44 12,850 5.23 NLD Netherlands 27,759 71,251 73.12 51,003 3.09 NZL New Zealand .. .. 74.24 .. 4.90 NOR Norway 33,393 16,930 75.31 51,718 1.45

Household income

Financial wealth

Net household adjusted

disposable income

Net household financial wealth

Employment rate

Average annual gross earnings per

full-time employee

Labour market

insecurity

USD at current

PPPs, per capita

USD at current

PPPs, per capita

Employed aged 15-64,

as a percentage

of the population aged 15-64

USD at current PPPs

Percentage of

expected earnings

loss associated

with unemploy

ment

2014 (or latest available

year)


year)

F9

The latest available year is 2013 for Brazil.

H9

The latest available year is 2011 for Brazil and Chile; 2010 for the Russian federation and South Africa.

POL Poland 17,820 12,902 61.68 23,649 8.86 PRT Portugal 19,882 29,563 62.62 23,977 11.68 SVK Slovak Republic 18,534 8,896 60.97 22,151 10.74 SVN Slovenia 19,130 17,271 63.89 33,068 5.18 ESP Spain 22,007 29,819 56.78 36,013 26.65 SWE Sweden 28,859 69,899 74.89 40,994 5.16 CHE Switzerland 35,952 120,265 79.84 57,082 1.70 TUR Turkey .. 3,886 49.55 .. 9.12 GBR United Kingdom 26,687 69,927 72.64 41,659 5.68 USA United States 41,071 163,268 68.15 57,139 5.16

OECD OECD average 29,016 84,547 65.80 40,974 6.25

BRA Brazil .. .. 66.66 .. 6.56 LVA Latvia 13,655 9,837 66.29 .. .. RUS Russian federation 17,006 .. 69.33 .. 5.14 ZAF South Africa 8,712 16,937 42.77 .. 22.64

Sources

Source: : OECD calculation based on the OECD Better Life Index 2016 database, http://stats.oecd.org/Index.aspx?DataSetCode=BLI

OECD calculations

based on OECD

National Accounts Statistics

(database) http://dx.doi.org/10.1787/n

a-data-en and on

Statistics Norway statbank

(database)

OECD calculations

based on OECD National

Accounts Statistics

(database) http://dx.doi.org

/10.1787/na-data-en.

“Labour Force Statistics”,

OECD Employment and Labour

Market Statistics

(database), http://dx.doi.org/10.1787/lfs-lfs-

data-en

OECD calculations combining

data from the OECD

Earnings Distrbution Database

and OECD Average Annual

Earnings per Full-time and

Full-year Equivalent Dependent Employee Database.

OECD Job Quality

database, http://stats.oecd.org/Index.

aspx?DataSetCode

=JOBQ


Jobs and Earnings Housing Work-life balance Health status

Basic sanitation Working hours Time off Perceived health

1.32 .. 19.99 .. 13.39 14.35 82.20 85.40 1.53 1.60 21.00 1.00 7.32 14.55 81.20 68.60 4.26 2.20 21.04 2.10 4.73 15.77 80.70 74.30 0.89 2.52 21.43 0.19 3.83 14.41 81.50 88.70

.. 1.23 17.99 9.36 13.84 .. 78.80 59.10 2.72 1.40 25.51 0.70 5.99 .. 78.30 59.60 1.66 1.90 24.51 0.50 2.21 15.87 80.40 71.70 3.32 1.60 18.71 7.20 3.29 14.90 77.30 53.40 1.97 1.90 21.83 0.60 3.60 15.17 81.10 64.60 4.21 1.80 21.41 0.50 7.77 16.36 82.30 67.20 2.21 1.80 21.52 0.00 4.96 15.55 80.90 64.90 19.47 1.20 25.53 0.50 6.37 .. 81.40 73.90 3.78 1.10 19.59 5.30 3.76 .. 75.70 56.90 0.67 1.60 24.13 0.00 .. .. 82.10 76.60 6.98 2.00 20.26 0.10 4.11 .. 81.10 82.00 0.63 1.17 .. .. 14.74 .. 82.10 80.00 7.79 1.40 23.92 0.80 3.83 14.89 82.80 66.10 1.36 1.89 22.25 6.40 .. 14.85 83.40 35.40 0.01 1.43 15.92 4.16 .. 14.70 81.80 35.10 1.60 2.00 .. 0.10 3.27 .. 81.90 71.90 0.06 0.96 21.68 4.19 28.28 .. 74.60 65.50 2.98 1.90 19.06 0.00 0.44 .. 81.40 75.50 0.78 2.36 23.04 .. 13.78 14.87 81.40 89.61 0.41 2.00 17.64 0.00 3.05 15.56 81.80 76.00

Long-term unemployment

Rooms per person

Housing affordability

Life expectancy

Long-term unemployment

rateRooms per

personHousing

expenditureDwellings

without basic sanitary facilities

Employees working very long

hours

Time devoted to leisure and

personal care

Life expectancy

at birthPerceived health

status

Percentage of the labour

force unemployed for one year

or more

Average number of rooms per

person (excluding bathroom,

toilet, kitchenette, scullery/utility rooms and

Percentage of household

gross adjusted

disposable income spent on housing and house

maintenance

Percentage of people without an

indoor flushing toilet for the sole use of their household

Percentage of employees routinely

working 50 hours or more

per week

Hours per day, persons

in full-time employment

only

Number of years a

newborn can expect

to live

Percentage of adults

reporting that their health is

"good" or better than

good


year)


year)


year)

2014 (or latest

available year)


year)

Latest available year


year)

2013 (or latest

available year)

I9

The latest available year is 2013 for Korea.

J9

The latest available year is 2013 for Israel , Japan and Switzerland; 2011 for Australia, the Russian Federation, Turkey and Canada; 2010 for Korea and Mexico; and 2002 for Chile.

K9

The latest available year for New Zealand and Switzerland is 2012.

L9

The latest available year is 2013 for the Russian federation; 2011 for Norway; 2010 for Brazil , Korea and Mexico; 2008 for Japan; 2001 for Chile; and to 1997 for Canada

M9

Data refer to 2013 for Chile and Brazil.

N9

Data refer to 2014 for the United States; 2011 for Japan; 2010 for Canada and Norway; 2009-10 for Estonia, Finland, France, New Zealand, Spain; 2008-09 for Austria and Italy; 2006 for Australia; 2005 for Belgium and the United Kingdom; 2003-04 for Poland; 2001-02 for Germany; 2001 for Denmark; and to 2000-01 for Slovenia and Sweden.

O9

The latest available year is 2011 for Canada.

P9

The latest available year is 2014 for the Russian federation; 2009 for Chile; and 2006 for Mexico.

3.26 1.10 21.74 3.10 7.25 14.42 77.10 58.30 8.28 1.70 19.25 1.00 9.77 .. 80.80 46.10 8.80 1.10 24.85 1.30 6.23 .. 76.50 65.90 5.27 1.50 19.04 0.60 5.50 14.75 80.40 64.80 12.92 1.90 22.79 0.10 5.61 15.93 83.20 71.60 1.33 1.80 20.13 0.00 1.10 15.18 82.00 81.10 1.71 1.80 21.69 0.00 .. .. 82.90 80.70 2.04 1.10 .. 7.60 39.26 .. 76.60 67.79 2.22 1.90 22.68 0.40 12.83 14.87 81.10 73.70 1.42 .. 18.79 0.08 11.69 14.47 78.80 87.50

2.58 1.78 20.78 2.12 13.02 14.91 79.91 68.92

.. .. .. 6.67 9.45 .. 75.00 .. 4.67 1.20 25.56 14.70 2.45 14 74.10 .. 1.45 0.92 10.78 14.40 0.18 .. 70.70 39.00 14.37 .. 18.46 20.50 18.07 15 56.80 ..

Sources

Source: : OECD calculation based on the OECD Better Life Index 2016 database, http://stats.oecd.org/Index.aspx?DataSetCode=BLI

“Labour Force Statistics”,

OECD Employment and Labour

Market Statistics (database),

http://dx.doi.org/10.1787/lfs-lfs-

data-en

European Union Statistics on Income and

Living Conditions (EU-

SILC) for EU countries and Norway; 2011

ABS Census of Population and

Housing for Australia; Canadian National

Household Survey for

Canada; INE Censo 2002 for

Chile; Israeli Household Expenditure Survey for

Israel; Housing and Land

Survey of Japan for Japan;

Population and Housing

Census of Korea for

Korea; INEGI Censo de

Población y Vivienda 2010

for Mexico; Census of New

Zealand for New Zealand; Population and

OECD calculations

based on OECD National Accounts Statistics

(database) http://dx.doi.org/

10.1787/na-data-en

European Union Statistics on Income and

Living Conditions (EU-SILC)

http://epp.eurostat.ec.europa.eu/portal/page/portal/microdata/eu_silc for EU countries

and Norway; Canadian Household

Facilities and Equipment Survey for

Canada; INE Censo 2002 for Chile; Housing

and Land Survey of Japan for

Japan; Population and

Housing Census of Korea for

Korea; INEGI Censo de

Población y Vivienda 2010 for Mexico; Turkish

Income and Living Conditions

survey for Turkey;

American Housing Survey for the United

States; Universo do Censo

“Labour Force Statistics”, OECD Employment and Labour Market

Statistics (database),

http://dx.doi.org/10.1787/lfs-lfs-

data-en

OECD calculations based on the Harmonised

European Time Use Survey web

application (https://www.h2.s

cb.se/tus/tus/), Eurostat database

http://appsso.eurostat.ec.europa.eu/nui/show.do?

dataset=tus_00selfstat&lang=en, public-use time

use survey micro-data and tabulations from

National Statistical Offices for non-European

countries.

“Health status",

OECD Health Statistics

(database), http://dx.doi.org/10.1787/data-00540-en

Health status, OECD Health

Statistics (database),

http://dx.doi.org/10.1787/data-

00540-en

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the

Education and skills Social connecCivic engage Civic engage Environmental quality

Adult skills Social support Voter turnout Voter turnout Water quality Air quality

Voter turnout Air pollution

2012

2014

2013

77.10 19 512 95.11 2.72 93.23 94.42 5.94 83.86 17 500 92.52 1.31 74.91 92.91 14.86 73.55 19 509 88.40 2.16 89.37 82.98 18.58 89.99 16 522 93.87 3.02 68.49 89.85 12.12 61.41 17 436 82.46 1.46 49.25 71.38 18.50 93.19 17 500 90.31 2.58 59.48 87.72 16.54 79.55 20 498 95.53 2.07 85.89 95.49 11.15 91.00 18 526 90.20 2.80 64.23 84.43 9.08 86.51 20 529 94.21 2.33 68.86 93.68 6.98 74.85 16 500 89.36 2.08 80.35 83.56 14.12 86.90 18 515 92.27 2.06 71.53 93.69 15.35 68.27 .. 466 83.39 1.89 63.60 69.31 15.37 83.09 17 487 82.23 1.23 61.84 75.54 15.67 73.26 20 484 95.74 1.64 81.44 97.46 7.20 78.81 18 516 95.29 0.82 70.05 82.26 7.93 85.35 16 474 85.72 0.88 72.34 65.20 25.86 59.31 17 490 90.68 1.46 75.19 69.93 18.32

.. 16 540 90.99 1.34 52.66 86.75 16.01 84.98 17 542 75.80 2.40 75.84 77.56 29.09 81.98 15 490 93.36 1.49 91.15 85.39 14.99 33.70 14 417 75.28 3.45 63.14 68.33 11.94 75.90 18 519 87.86 1.32 74.56 93.63 16.82 74.08 18 509 98.56 2.53 76.95 91.54 8.65 81.95 18 496 93.12 1.95 78.23 97.31 5.98

Educational attainment

Cognitive skills

Educational attainment of

the adult working-aged

population

Expected years in

education

Cognitive skills of 15

year old students

Perceived social network

support

Stakeholder engagement for

developing regulations

Satisfaction with water quality

Percentage of people

aged 25-64 with at least

an upper secondary education

Average years of

education that a 5-year-old child can expect to

enrol during her

lifetime

The OECD

Programme on

International

Students Assesmen

t (PISA) mean

Percentage of people who have friends or

relatives that they can

count on in times of trouble

Composite indicator of

formal stakeholder engagement in developing primary laws

and subordinate regulations

Percentage of votes cast among the population

registered to vote

Percentage of satisfied

people in the overall

population

Population-weighted annual

concentration to PM2.5, micrograms

per cubic metre


year)


year)


year)

2015 (or latest

available year)

2015 (or latest

available year)

Q9

The latest available year us 2013 for Brazil, Chile and the Russian Federation; and 2012 for South Africa.

R9

The latest available year is 2012 for Canada.

T9

The latest available year is 2013 for Iceland.

V9

National elections refer to parliamentary elections, with the exceptions of National elections refer to parliamentary elections, with the exceptions of Brazil, Finland, France, Korea, Mexico, Poland, the Russian Federation and the United States, where presidential elections are considered. The latest available year refers to 2014 for Belgium, Brazil, Hungary, Japan, Latvia, New Zealand, Slovenia, South Africa, Sweden; 2013 for Australia, Austria, Chile, the Czech Republic, Germany, Iceland, Italy, Luxembourg, Norway; 2012 for Finland, France, Korea, Mexico, the Netherlands, the Russian federation, the Slovak Republic and the United States; and 2011 for Ireland.

W9


90.52 18 521 86.28 2.58 55.34 79.99 16.95 43.28 17 488 85.08 1.23 55.84 88.64 9.88 90.84 16 472 92.34 2.94 59.11 81.12 15.96 85.73 18 499 88.90 2.79 51.73 90.69 13.68 56.62 18 490 95.51 1.57 73.20 70.94 11.61 81.55 19 482 92.34 2.00 85.81 95.20 7.32 87.98 17 518 93.50 2.62 48.40 96.97 17.33 35.63 17 462 83.60 2.06 85.18 62.71 17.24 79.17 17 502 93.37 2.91 66.12 87.13 10.79 89.57 17 492 90.08 3.18 66.66 83.70 10.73

76.35 17 497 88.22 2.43 68.35 81.10 14.05

46.41 16 402 90.00 .. 78.90 72.62 16.61 89.51 18 494 84.17 .. 58.80 76.03 12.08 94.68 16 481 90.72 .. 65.27 49.35 14.23 64.93 .. .. 89.53 .. 73.48 68.81 14.37

SourcesOECD (2015), Education at a Glance 2015, OECD, Paris

OECD (2015),

Education at a Glance

2015, OECD, Paris

OECD (2014e),

PISA 2012 Results:

What Students Know and Can Do

(Volume I, Revised edition): Student

Performance in

Mathematics, Reading and

Science, PISA, OECD Publishing,

Paris, http://dx.doi.org/10.1787/978926420878

0-en.

Gallup World Poll,

www.gallup.com/services/17094

5/world-poll.aspx

OECD (2015), OECD Indicators

of Regulatory Policy and

Governance (iREG),

http://www.oecd.org/gov/regulatory-policy/indicator

s-regulatory-policy-and-

governance.htm

International Institute for

Democracy and Electoral

Assistance (IDEA) (2015), www.idea.int.

Gallup World Poll

www.gallup.com/services/170945/world-poll.aspx

OECD preliminary calculations

based on data from the Global

Burden of Disease

assessment (Brauer, M. et

al. (2016) "Ambient Air

Pollution Exposure

Estimation for the Global Burden of

Disease 2013." Environmental

Science & Technology 50 (1), Pages 79-

88).

Personal security

0.80 62.64 7.31 0.40 81.19 7.08 1.10 69.63 6.90 1.50 81.68 7.41 3.80 50.24 6.53 0.90 70.12 6.61 0.30 85.20 7.51 4.80 67.22 5.63 1.50 85.77 7.45 0.60 70.61 6.36 0.50 74.60 7.04 1.50 62.52 5.62 1.20 53.20 5.34 0.30 78.13 7.50 0.80 77.04 6.83 1.80 66.30 7.08 0.80 59.32 5.85 0.30 70.24 5.88 1.10 67.66 5.78 0.20 70.62 6.70 23.40 39.88 6.24 0.80 80.51 7.32 1.20 64.42 7.42 1.00 89.63 7.60

Subjective well-being

Deaths due to assault

Self-reported victimisation

Life satisfaction

Homicides rates

Feeling safe walking alone

at night

Life evaluation

(Gallup World Poll)

Age-standardis

ed rate, per 100

000 population

Percentage of people declaring

that they feel safe walking

alone at night in the city or area where they

live

Mean values

reported using the "Cantril

ladder" 0-10 scale, ranging

from worst possible to


year)


year)


year)

Y9

The latest available year is 2012 for Belgium, Brazil, Chile, Denmark, Estonia, Greece, Israel, Italy, Korea, Latvia, Mexico, Switzerland; 2011 for Canada, France, New Zealand and the Russian federation; 2010 for Ireland, the Slovak Republic, Slovenia and the United States; and 2009 for Iceland.

Z9


AA9


1.00 66.08 6.01 0.90 69.16 5.08 1.20 62.13 6.16 0.40 83.90 5.74 0.60 81.61 6.38 0.80 76.82 7.29 0.50 87.43 7.57 1.70 60.41 5.51 0.20 77.84 6.52 5.20 73.87 6.86

4.09 68.26 6.46

26.70 39.52 6.55 6.10 61.60 5.88 11.30 52.87 6.00 9.60 39.80 4.89

SourcesOECD Health Data: Causes of Mortality,

OECD Health Statistics

(database), http://dx.doi.org/10.1787/data-00540-en

Gallup World Poll,

www.gallup.com/services/17094

5/world-poll.aspx

Gallup World Poll,

www.gallup.com/services/170945/world

-poll.aspx

Trust in others, European countriesMean average response, 0-10 scale, 2013

ISO Country 2013DNK Denmark 8.3FIN Finland 7.4

NOR Norway 7.3ISL Iceland 7.0NLD Netherlands 6.9SWE Sweden 6.9SVN Slovenia 6.5IRL Ireland 6.4

CHE Switzerland 6.4ESP Spain 6.3GBR United Kingdom 6.1POL Poland 6.0AUT Austria 5.9

OECD EU 24 5.8EST Estonia 5.8SVK Slovak Republic 5.8BEL Belgium 5.7ITA Italy 5.7

DEU Germany 5.5LUX Luxembourg 5.5CZE Czech Republic 5.3GRC Greece 5.3HUN Hungary 5.3PRT Portugal 5.3FRA France 5.0

Note: Response options ranged from 0 ("You do not trust any other person") to 10 ("Most people can be trusted"). The OECD EU average is the population-weighted average of the values included in the chart.

Source: Eurostat (2015), European Union Statistics on Income and Living Conditions (EU-SILC), http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ilc_pw03&lang=en.


Educational attainment among 25-34 year oldsPercentage attaining at least upper secondary education

ISO Country 2000 2007 2013JPN Japan 94.23 99.99 99.99KOR Korea 93.27 97.45 98.34SVN Slovenia 85.42 92.30 94.46CZE Czech Republic 92.40 94.15 94.37POL Poland 89.38 92.09 94.20SVK Slovak Republic 93.67 93.99 94.06CAN Canada 88.23 91.35 92.52SWE Sweden 87.25 90.99 91.38FIN Finland 86.28 90.03 90.77ISR Israel .. 85.41 90.69CHE Switzerland 89.81 89.67 90.27USA United States 88.15 87.13 89.43AUT Austria 83.79 86.50 89.23EST Estonia 91.01 86.15 87.93HUN Hungary 81.27 85.25 87.27DEU Germany 84.85 85.02 86.93IRL Ireland 73.04 83.64 86.75

GBR United Kingdom 66.79 80.03 86.10LUX Luxembourg 68.15 77.04 86.03AUS Australia 68.30 81.36 85.64FRA France 76.38 82.70 85.41NLD Netherlands 75.02 82.63 84.81GRC Greece 68.69 75.22 84.15

OECD 31 75.17 80.38 83.55NOR Norway .. 83.06 82.24DNK Denmark 86.90 80.55 81.88BEL Belgium 75.32 81.60 81.65NZL New Zealand 68.72 79.30 79.47CHL Chile .. .. 76.56ISL Iceland 62.71 68.86 73.18ITA Italy 59.10 68.16 72.68ESP Spain 55.41 65.75 65.06PRT Portugal 31.80 44.43 60.77MEX Mexico 37.06 39.27 47.72TUR Turkey 27.74 39.27 47.65BRA Brazil .. 47.19 60.78RUS Russian federation .. .. 94.42

Note:The latest available year is 2012 for the Russian Federation; and 2011 for Chile. The first year shown is 2007 for Norway, due to a break in the series. The OECD average is population-weighted.

Source: OECD (2015d), Education at a Glance Interim Report: Update of Employment and Educational Attainment Indicators, OECD Publishing, Paris, www.oecd.org/edu/EAG-Interim-report.pdf.

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and

Dimension Income and Wealth Jobs and Earnings Housing conditions

Indicator

Units Rooms per child

Year Around 2011 2011 2012 2012 around 2012ISO Country

AUS Australia 31.93 13.00 12.60 0.82 0.87AUT Austria 28.81 9.10 8.44 3.61 1.05BEL Belgium 26.85 12.73 12.60 6.93 1.36CAN Canada 30.82 14.21CHL Chile 12.72 23.48 7.61 0.61CZE Czech Republic 16.20 9.42 7.23 6.84 0.96DNK Denmark 32.06 3.80 8.20 1.34 1.22EST Estonia 15.40 11.40 8.64 4.09 1.05FIN Finland 29.97 4.00 7.75 4.07 1.21FRA France 27.37 10.83 7.68 4.51 1.14DEU Germany 27.94 8.13 7.33 3.09 1.16GRC Greece 15.59 20.40 10.30 11.60 0.90HUN Hungary 11.84 16.68 16.50 4.10 0.70ISL Iceland 25.74 7.73 11.60 1.73 1.10IRL Ireland 26.97 10.27 21.80 15.50 1.36ISR Israel 17.58 28.48ITA Italy 22.28 17.33 8.20 6.95 0.90JPN Japan 25.39 15.65KOR Korea 25.48 9.70LUX Luxembourg 39.80 11.82 4.78 1.88 1.18MEX Mexico 6.40 25.84 0.43NLD Netherlands 28.97 10.60 5.96 0.64 1.26NZL New Zealand 24.47 14.00NOR Norway 38.75 5.35 5.44 1.44 1.27POL Poland 14.41 13.15 7.95 8.13 0.74PRT Portugal 15.62 16.87 10.20 15.10 1.14SVK Slovak Republic 15.30 12.79 6.85 12.10 0.81SVN Slovenia 22.43 7.81 5.54 10.30 1.01ESP Spain 19.49 21.73 15.30 13.60 1.26SWE Sweden 29.33 9.41 6.04 2.08 1.17CHE Switzerland 37.73 10.54 5.69 0.64 1.19TUR Turkey 10.26 28.42GBR United Kingdom 26.53 9.54 15.50 3.18 1.21USA United States 32.71 20.51 9.55 0.80

OECD average 23.92 13.67 9.45 5.77 1.04Sources

Disposable income of households with children

Child income poverty

Children in workless households

Children with a long-term unemployed parent

Average rooms per child

Average equivalised disposable income per child,

Percentage of children aged 0-17 living in households

Percentage of children living in households where there is no

Percentage of children living in a household with at least one long-

Source: OECD Income

Distribution Database,

http://dx.doi.org/10.1787/459aa7f

1-en

Source: OECD Income



1-en

Source: EU-SILC 2012, HILDA

2012 (Australia), CASEN 2011 (Chile), ACS 2012 (United

States). EU-SILC is the EU

Statistics on Income and

Living Conditions.

HILDA is the Household, Income and

Labour Dynamics in

Australia longitudinal

survey carried out by the

University of Melbourne.

CASEN is the Encuesta de

Caracterización Socioeconómica Nacional, carried

out by the Ministry of Social

Development. ACS is the American

Community Survey carried out by the US

Census Bureau.

Source: For European

countries, EU-SILC 2012; for

Australia, Household, Income and

Labour Dynamics

(HILDA) survey, 2012.


2012 (Australia), ENIGH 2012

(Mexico), CASEN 2011 (Chile), ACS 2012 (United

States). HILDA is the Household,

Income and Labour

Dynamics (HILDA) survey

carried out by the University of Melbourne.

ENIGH is the Encuesta

Nacional de Ingresos y

Gastos de los Hogares carried

out by the Mexican National Statistical Office.






Census Bureau.

D8

The latest available year is 2012 for Australia, Hungary, Mexico and the Netherlands; 2009 for Japan and 2010 for Belgium.

E8

The latest available year is 2012 for Australia, Hungary, Mexico and the Netherlands; 2009 for Japan and 2010 for Belgium

Source: OECD Income



1-en

Source: OECD Income



1-en



States). EU-SILC is the EU

Statistics on Income and

Living Conditions.

HILDA is the Household, Income and

Labour Dynamics in

Australia longitudinal

survey carried out by the







Census Bureau.

Source: For European

countries, EU-SILC 2012; for

Australia, Household, Income and

Labour Dynamics

(HILDA) survey, 2012.


2012 (Australia), ENIGH 2012

(Mexico), CASEN 2011 (Chile), ACS 2012 (United


Income and Labour

Dynamics (HILDA) survey

carried out by the University of Melbourne.

ENIGH is the Encuesta

Nacional de Ingresos y

Gastos de los Hogares carried

out by the Mexican National Statistical Office.






Census Bureau.


Housing conditions Health status

Infant mortality Low birth weight Obesity

2010 around 2012 around 2012 2012 2010 2010 around 2011

10.30 3.30 6.30 7.56.14 21.20 3.20 6.80 12.80 2.61 5.9

19.40 26.50 3.80 6.90 19.00 2.09 7.14.80 6.10 14.90 4.74

35.40 7.70 6.00 10.816.30 23.40 2.60 8.00 9.77 1.82 7.0

4.45 18.60 3.40 6.40 16.80 1.36 4.260.70 19.10 3.60 4.60 13.50 2.48 9.5

0.99 18.80 2.40 4.10 12.30 2.67 12.87.68 23.70 3.50 6.50 11.50 1.47 4.6

10.70 31.70 3.30 6.90 12.80 2.4912.30 32.30 2.90 9.80 6.40 2.94 1.5

102.00 17.90 4.90 8.60 19.90 2.51 6.016.30 1.10 4.30 15.50 2.79 5.7

99.10 12.00 3.50 5.30 11.20 3.40 13.43.60 8.10 2.7

5.20 25.40 2.90 7.30 9.22 2.88 2.12.20 9.60 7.92.90 5.30

23.10 24.50 2.50 6.60 14.40 2.62 3.113.30 5.40 7.0

0.93 31.10 3.70 6.00 13.70 0.89 4.55.20 6.10 16.7

2.91 15.80 2.50 4.60 17.20 1.86 7.232.10 17.70 4.60 5.70 17.50 2.94 8.3

8.05 29.40 3.40 8.50 11.90 3.43 1.942.30 21.70 5.80 7.90 11.20 1.64 3.7

4.42 21.90 1.60 6.00 10.30 3.09 9.21.14 18.90 3.10 7.70 6.71 2.38 1.90.71 16.10 2.60 4.20 13.30 1.60 7.2

21.90 3.60 6.70 7.75 1.01 7.07.40 8.80 16.70 1.63 2.1

3.42 23.20 4.10 6.90 20.40 3.11 3.22.10 6.10 8.00 21.10 9.02 7.4

20.90 21.58 3.97 6.65 13.62 2.65 6.40Sources

Environmental quality

Children in homes that lack basic facilities

Children in homes with poor environmental conditions

Self-reported health status

Adolescent suicide rates (age 15-19)

Number of children per 1 000 living in dwellings that

Percentage of 0-17 year-old children living in homes with self-

Number of deaths of children under age one per

Number of live births weighing less than 2500 grams as a

Percentage of 11, 13 and 15 year-old children with self-

Percentage of obese girls and boys aged 11, 13 or 15.

Death rates by intentional self harm per 100,000 children,

Source: EU-SILC 2012. HILDA



Income and Labour

Dynamics (HILDA) carried

out by the University of Melbourne.






Census Bureau.


2012 (Australia). HILDA is the Household, Income and

Labour Dynamics

(HILDA) carried out by the


Source: OECD Health Statistics

Database, http://dx.doi.org/10.1787/health-

data-en



data-en

Source: Health and Behaviour in

School-aged Children Study (HBSC) 2010

http://www.hbsc.org/


School-aged Children Study (HBSC) 2010.


Source: WHO Mortality

Database, www.whi.int/healthinfo/statistics/mortality/en/index/

html

I6

Households are classified as having basic facilities if they have an indoor flushing toilet for the sole use of the household

J6

For European countries, environmental conditions are assessed using the question whether the household has experienced any of the following problems: (i) too much noise in your dwelling from neighbours or from outside (traffic, business, factory, etc.); or (ii), pollution, grime or other environmental problems in the local area such as: smoke, dust, unpleasant smells or polluted water. In Australia, households were asked whether they experienced (i) traffic noise, (ii) rubbish and litter lying around, or (iii) vandalism and deliberate damage to property in their neighbourhood.

K8

For United States, New Zealand, Canada and Chile the latest available data refer to 2011.

L8

The latest available year is 2011 for Australia, Canada, Chile and France; and 2010 for Belgium.

Source: EU-SILC 2012. HILDA



Income and Labour

Dynamics (HILDA) carried

out by the University of Melbourne.






Census Bureau.


2012 (Australia). HILDA is the Household, Income and

Labour Dynamics

(HILDA) carried out by the




data-en



data-en


School-aged Children Study (HBSC) 2010







html

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under

Health status Education and skills Civic engagement

Intention to vote

2012 2012 2012 2013 2012 2009 2009

12.06 512 523 7.33 3.24 81.64 43.36 4.13 490 506 5.63 1.32 6.71 509 508 6.72 1.99 72.36 36.32

14.50 523 526 6.62 3.55 55.29 441 448 12.50 75.65 50.37

4.91 493 509 3.21 1.50 49.60 25.25 5.10 496 497 4.60 1.49 88.82 22.44

16.78 516 515 4.62 1.42 72.78 30.38 9.21 524 523 4.82 2.35 84.62 21.74 5.74 506 511 7.78 1.27 3.80 508 509 2.80 1.25

11.86 477 9.29 4.34 76.79 44.44 12.10 489 459 5.95 3.35 11.49 483 0.83

8.24 523 498 10.61 3.09 86.68 40.48 7.82 486 454 9.05 3.47 3.96 490 510 11.04 1.55 88.14 39.34 5.41 538 552 7.20 6.17 2.24 536 561 8.54 3.13 86.90 23.63 8.35 488 3.50 2.13 73.23 35.09

63.40 424 15.46 31.30 86.18 50.19 6.17 511 511 4.06 1.21 73.52 36.46

25.31 512 7.65 6.66 84.40 45.23 7.83 504 503 3.57 1.63 83.30 30.30

12.16 518 481 3.45 1.05 77.19 49.65 12.57 488 494 6.92 2.25 15.87 463 483 5.42 6.88 74.67 37.17

0.62 481 476 3.54 0.71 80.60 47.83 10.62 488 477 10.74 1.71 84.99 28.85

6.53 483 491 4.05 2.73 85.20 25.41 1.90 509 5.00 1.25 70.20 34.52

30.90 476 455 22.16 18.50 25.76 499 517 9.05 3.38 71.95 39.24 31.00 498 508 8.42 8.36 13.54 496 500 7.10 4.34 78.67 36.42

Sources

Teenage birth rates

PISA mean reading score

PISA creative problem solving score

Youth neither in employment nor in education or training (NEET)

Educational deprivation

Civic participation

Teenage births per 1 000 women aged 15-19

Average reading literacy scores of 15 year-olds

Average computer problem-solving scores of 15

Percentage of 15-19 year-olds

Number of 15-year olds reporting having less than the four

Percentage of 14 year old students who have the intention to vote

Percentage of 14 year-old students who participated in organisations,

Source: World Development

Indicators, World Bank,

http://data.worldbank.org/data-catalog/world-development-

indicators

PISA 2012, OECD (2014a),

PISA 2012 Results: What Students Know

and Can Do (Volume I),

Revised edition, February, OECD Publishing, Paris, http://dx.doi.org/10.1787/199637

85

PISA 2012, OECD (2014b),

PISA 2012 Results: Creative Problem Solving

(Volume V), Students' Skills

in Tackling Real-Life Problems,

OECD Publishing, Paris, http://dx.doi.org/10.1787/199637

85

Source: OECD Education at a

Glance database, 2014, http://dx.doi.org/10.1787/199914

87

Source: OECD calculations on

PISA 2012, OECD

http://dx.doi.org/10.1787/199637

85

Source: The International

Civic and Citizenship

Education Study (ICCS) 2009,

http://iccs.acer.edu.au





T7

Educational items include a desk to study, a quiet place to study, a computer for school work, educational software, internet, books for school and a dictionary

U7

BEL = Belgium (Flemish teenagers only).

V7

Participation in a youth organisation affiliated with a political party or union, an environmental organisation, a human rights organisation, a voluntary group doing something to help the community, an organisation collecting money for a social cause, a cultural organisation based on ethnicity, a religious group or organisation, a group of young people campaigning for an issue to help the community, or an organisation collecting money for a social cause

S8

The latest available data for Chile refer to 2011.

Source: World Development

Indicators, World Bank,

http://data.worldbank.org/data-catalog/world-development-

indicators

PISA 2012, OECD (2014a),




85

PISA 2012, OECD (2014b),

PISA 2012 Results: Creative Problem Solving

(Volume V), Students' Skills

in Tackling Real-Life Problems,

OECD Publishing, Paris, http://dx.doi.org/10.1787/199637

85

Source: OECD Education at a

Glance database, 2014, http://dx.doi.org/10.1787/199914

87

Source: OECD calculations on

PISA 2012, OECD

http://dx.doi.org/10.1787/199637

85










Social and family environment Personal security

Daily minutes

2010 2010 2010 2010 2009 around 2011

(0.15) 256.29 0.99 86.00 69.60 3.95 81.60 0.55 252.46 0.96 79.90 75.00 8.68 70.30 (0.05) 98.00 1.04 83.60 58.70 14.50 74.00 (0.09) 192.00

0.14 2.03 85.80 56.40 7.14 (0.36) 1.02 86.70 77.10 9.44 83.30 (0.05) 138.64 0.57 90.00 65.00 5.59 55.60 (0.33) 114.00 1.67 88.90 66.30 9.73 68.10 (0.22) 166.00 1.01 74.40 57.00 7.77 73.10 (0.11) 102.00 0.48 85.10 78.10 3.93 84.90 0.27 132.00 88.00 44.00 11.00 63.60 (0.14) 0.26 94.30 58.50 4.36 75.50 0.11 0.75 91.80 80.40 10.10 91.00 0.36 0.74 85.30 73.00 14.90 69.30 (0.03) 223.42 0.98

0.41 0.94 83.60 68.40 14.10 61.90 (0.22) 151.00 0.28

(0.16) 108.94 0.62 (0.32) 48.00

82.10 73.60 10.90 67.40 0.20 1.11 0.10 5.37

93.70 80.40 4.37 83.50 (0.03) 0.59 (0.14) 1.26

81.70 78.40 11.80 85.90 0.08 138.00 1.68 90.30 51.00 9.36 63.40 (0.32) 145.00 1.18 82.80 79.20 11.70 78.30 0.03 0.98 82.30 61.80 6.32 63.80 (0.31) 1.32

76.70 14.10 64.30 (0.01) 112.00 0.59 89.40 66.90 20.70 66.20 0.41 192.00 0.27 87.80 82.70 8.72 80.50 (0.04) 147.00 0.82 83.00 78.90 7.16 71.50 0.43 84.20 62.00 29.20 82.70 0.12 85.50 64.80 14.10 76.80 (0.02) 151.00 0.65 79.20 56.20 17.10 76.40 (0.05) 211.00 4.02

85.59 68.15 10.77 73.57 0.00 150.00 1.18Sources

Children who find it easy to talk to their parents

Students reporting having kind and helpful classmates

Students feeling a lot of pressure by schoolwork

Students liking school

PISA sense of belonging index

Time children spend with their parent

Child homocide rate

Percentage of girls and boys aged 11, 13 and 15 who report



Percentage of 11, 13 and 15 year-old children who report liking

The PISA Sense of Belonging Index is based on a Rasch

Death rates by intentional injury per 100 000 children, 3-year

2013 or latest available year





School-aged Children Study (HBSC) 2010,

http://www.hbsc.org/.







PISA 2012, OECD (2014a),




85

Source: OECD calculations

based on the Harmonised

European Time Use Survey web application for

European countries

(https://www.h2.scb.se/tus/tus/), public-use time


national statistical offices

for non-European countries



html

AA7

Based on a Rasch scaling of six items (I feel like an outsider, I make friends easily, I feel like I belong, I feel awkward and out of place, Other students seem to like me, I feel lonely), and standardised to have a mean of 0 and a standard deviation of 1 across all participating OECD countries.

AC7

Data for Canada are not available on a comparable definition. National figures of child homicides rates are available here http://www.statcan.gc.ca/pub/85-002-x/2014001/article/14114/tbl/tbl31-eng.htm#tbl31n_1).

AB8

Data refer to the amount of time spent on childcare that respondents report themselves in their time-use diaries as a primary activity (i.e. without doing other activities at the same time). Basic childcare includes childcare and child supervision, as well as time spent in transporting children, with the exception of Ireland and Korea where time spent transporting children is not included. Data refer to care for children under the age of 18, except for Australia and Canada (less than 15 years). Data refer to 1999-2000 for Estonia; 2000 for South Africa; 2000-01 for Norway, Slovenia, Sweden, United Kingdom; 2001 for Denmark; 2001-02 for Germany; 2003-4 for Poland; 2005 for Belgium and Ireland; 2006 for Japan; 2008-09 for Australia, Italy; 2009 for Korea; 2009-10 for Finland, France and Spain; 2010 for Canada; and 2013 for the United States.













PISA 2012, OECD (2014a),




85

Source: OECD calculations

based on the Harmonised

European Time Use Survey web application for

European countries

(https://www.h2.scb.se/tus/tus/), public-use time


national statistical offices

for non-European countries



html

Personal security

Bullying Life satisfaction

2010 2010

17.50 7.61 16.50 7.58 14.00 7.36

5.25 7.51 6.21 7.52 18.10 7.67 10.70 7.76 13.90 7.53 10.20 7.40 8.49 7.85 7.72 7.43 6.32 7.97 9.33 7.64

3.90 7.52

12.80 7.69

7.51 7.99

8.58 7.74 10.30 7.23 14.00 7.53 10.10 7.49 7.18 7.67 5.97 8.06 3.96 7.71 13.40 7.73

6.63 9.31 7.51 10.90 7.53

10.08 7.59Sources

Subjective well-being


Average life satisfaction score of girls and boys aged 11, 13 and

Source: Health and Behaviour School-aged

children Study (HBSC) 2010,





Children reporting poor health PISA reading scores among childrenPercentage of 11, 13 and 15 year-old children with self-perceived fair or poor health, 2010 Average reading literacy scores of 15 year-olds, 2012

Family Affluence Scale*ISO Country Low Middle High ISOGRC Greece 6.40 8.68 6.18 4.80 MEXESP Spain 6.71 11.20 6.53 4.75 CHLCHE Switzerland 7.75 9.60 8.01 6.55 SVKITA Italy 9.22 11.00 10.10 7.45 TURCZE Czech Republic 9.77 12.00 10.40 7.49 GRCSVN Slovenia 10.30 12.90 10.40 9.48 SVNIRL Ireland 11.20 12.90 11.00 9.85 ISLSVK Slovak Republic 11.20 13.30 10.60 9.86 SWEFRA France 11.50 16.90 11.50 9.67 ISRPRT Portugal 11.90 14.80 11.70 10.50 LUXFIN Finland 12.30 16.40 12.30 9.79 PRTAUT Austria 12.80 16.80 13.30 9.21 ESPDEU Germany 12.80 18.00 13.00 10.10 HUNSWE Sweden 13.30 17.80 13.80 10.60 AUTEST Estonia 13.50 17.10 13.20 11.20 ITA

OECD 27 13.62 18.43 13.58 11.02 CZENLD Netherlands 13.70 22.80 13.60 10.20 DNKLUX Luxembourg 14.40 22.20 15.80 10.70 OECDCAN Canada 14.90 21.90 15.10 10.70 USAISL Iceland 15.50 26.90 16.50 12.00 GBRTUR Turkey 16.70 18.90 11.90 14.00 NORDNK Denmark 16.80 24.60 16.00 15.00 FRANOR Norway 17.20 22.70 17.50 16.30 DEUPOL Poland 17.50 20.80 16.20 16.40 BELBEL Belgium 19.00 25.40 19.70 15.10 CHEHUN Hungary 19.90 26.10 18.20 13.90 NLDGBR United Kingdom 20.40 27.10 21.50 15.60 AUSUSA United States 21.10 28.80 22.70 16.40 NZL

ESTPOLCANIRL

* Definition used for socio-economic status FINKORJPN

* Definition used for socio-economic status

National average

Source: Health and Behaviour in School-aged Children Study (HBSC) 2010 http://www.hbsc.org/

Source: PISA 2012, OECD (2014a), PISA 2012 Results: What Students Know and Can Do (Volume I), Revised edition, February, OECD Publishing, Paris, http://dx.doi.org/10.1787/19963785


PISA reading scores among children PISA computer problem-solving scores among studentsAverage reading literacy scores of 15 year-olds, 2012 Average computer problem-solving scores of 15 year-olds, 2012

Economic, Social and Cultural Status*Country Low Medium High ISOMexico 424 398 424 455 CHLChile 441 412 449 497 ISR

Slovak Republic 463 412 467 516 TURTurkey 476 447 468 513 HUNGreece 477 444 475 517 SVN

Slovenia 481 444 475 520 ESPIceland 483 459 482 515 POLSweden 483 453 490 522 SVK

Israel 486 444 491 533 SWELuxembourg 488 440 490 539 PRT

Portugal 488 450 490 531 DNKSpain 488 456 491 529 IRL

Hugnary 489 448 488 537 OECD 28Austria 490 451 494 531 NOR

Italy 490 458 493 523 AUTCzech Republic 493 459 497 539 BEL

Denmark 496 456 495 532 USAOECD 496 462 498 537 DEU

United States 498 464 494 540 CZEUnited Kingdom 499 468 496 543 ITA

Norway 504 480 510 533 NLDFrance 506 457 508 565 FRA

Germany 508 473 520 554 ESTBelgium 509 463 514 561 GBR

Switzerland 509 470 509 545 FINNetherlands 511 478 513 547 AUS

Austria 512 476 510 552 CANNew Zealand 512 467 520 562 JPN

Estonia 516 497 510 547 KORPoland 518 486 515 559Canada 523 497 525 557Ireland 523 487 524 563Finland 524 497 524 557Korea 536 508 535 565Japan 538 510 543 570 * Definition used for socio-economic status


National average

Source: PISA 2012, OECD (2014b), PISA 2012 Results: Creative Problem Solving (Volume V), Students' Skills in Tackling Real-Life Problems, OECD Publishing, Paris,

http://dx.doi.org/10.1787/19963785

Source: PISA 2012, OECD (2014a), PISA 2012 Results: What Students Know and Can Do (Volume I), Revised edition, February, OECD Publishing, Paris, http://dx.doi.org/10.1787/19963785

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli

PISA computer problem-solving scores among students Educational deprivationAverage computer problem-solving scores of 15 year-olds, 2012

Economic, Social and Cultural Status*Country Low Medium High ISO

Chile 448 420 454 500 SVNIsrael 454 401 457 508 ISL

Turkey 455 423 450 490 POLHungary 459 409 461 512 NLDSlovenia 476 436 472 514 CHE

Spain 477 446 482 513 DEUPoland 481 447 480 522 FRA

Slovak Republic 483 439 485 533 AUTSweden 491 465 495 519 ESTPortugal 494 455 497 534 DNKDenmark 497 465 496 524 CZEIreland 498 465 501 533 ITA

OECD 28 500 468 502 537 NORNorway 503 477 507 529 ESPAustria 506 473 508 542 BELBelgium 508 465 514 554 LUX

United States 508 476 506 544 PRTGermany 509 474 519 554 FIN

Czech Republic 509 472 514 557 SWEItaly 510 484 511 533 IRL

Netherland 511 478 514 543 KORFrance 511 476 510 554 AUSEstonia 515 495 511 542 HUN

United Kingdom 517 491 517 551 GBRFinland 523 497 522 552 ISR

Australia 523 492 520 556 CANCanada 526 504 527 551 OECDJapan 552 531 555 573 GRCKorea 561 538 561 586 JPN

NZLSVKUSACHLTUR

* Definition used for socio-economic status MEX

Source: PISA 2012, OECD http://dx.doi.org/10.1787/19963785


Number of 15-year olds reporting having less than four educational items per 1000 15-year-olds in the school population, 2012**

National average

Source: PISA 2012, OECD (2014b), PISA 2012 Results: Creative Problem Solving (Volume V), Students' Skills in Tackling Real-Life Problems, OECD Publishing, Paris,

http://dx.doi.org/10.1787/19963785

Educational deprivation

Economic, Social and Cultural Status*Country Low Medium HighSlovenia 0.7 1.4 0.7 0.0Iceland 0.8 2.4 0.2 ..Poland 1.1 2.4 0.5 ..

Netherlands 1.2 3.2 0.5 0.1Switzerland 1.3 2.5 0.8 0.5Germany 1.3 2.3 0.7 0.4France 1.3 2.6 0.9 0.2Austria 1.3 2.8 0.8 0.2Estonia 1.4 3.1 0.7 0.3

Denmark 1.5 4.0 1.1 0.1Czech Republic 1.5 3.4 0.2 ..

Italy 1.6 3.1 1.0 0.4Norway 1.6 3.9 0.9 ..Spain 1.7 3.6 0.8 0.4

Belgium 2.0 4.8 0.6 0.2Luxembourg 2.1 3.9 1.9 0.3

Portugal 2.3 5.6 0.7 0.4Finland 2.4 4.8 2.1 0.1Sweden 2.7 6.7 1.2 0.3Ireland 3.1 7.1 1.9 0.1Korea 3.1 7.4 1.6 0.3

Australia 3.2 7.8 2.3 0.1Hungary 3.4 8.2 1.1 0.4

United Kingdom 3.4 7.5 2.2 0.2Israel 3.5 8.1 2.0 0.2

Canada 3.6 7.8 2.4 0.2OECD 4.3 9.5 2.5 0.6

Greece 4.3 9.8 2.3 0.6Japan 6.2 12.8 4.4 1.0

New Zealand 6.7 15.5 3.4 0.3Slovak Republic 6.9 17.8 2.0 0.3

United States 8.4 20.0 4.7 0.2Chile 12.5 25.2 4.3 0.8

Turkey 18.5 41.4 11.4 2.5Mexico 31.3 60.0 23.5 6.5

Source: PISA 2012, OECD http://dx.doi.org/10.1787/19963785


Number of 15-year olds reporting having less than four educational items per 1000 15-year-olds in the school population, 2012**

**Educational items include a desk to study, a quiet place to study, a computer for school work, educational software,

internet, books for school and a dictionary.

National average

**Educational items include a desk to study, a quiet place to study, a computer for school work, educational software,

internet, books for school and a dictionary.

Children's intentions to vote

Percentage of 14 year old students who have the intention to vote in national elections when they are adults, 2009

ISO Country Country averageNational Index of Socio-economic Background (NISB)*

Low MiddleCZE Czech Republic 49.60 39.16 49.70CHE Switzerland 70.20 60.78 69.02GBR United Kingdom 71.95 59.10 71.84BEL Belgium 72.36 63.17 73.96EST Estonia 72.78 66.86 72.71LUX Luxembourg 73.23 62.76 73.13NLD Netherlands 73.52 59.09 76.64SVK Slovak Republic 74.67 69.35 75.70CHL Chile 75.65 75.52 72.84GRC Greece 76.79 72.02 77.90POL Poland 77.19 71.78 77.39

OECD 23 78.67 71.60 79.18SVN Slovenia 80.60 74.49 81.87AUT Austria 81.64 76.11 82.25NOR Norway 83.30 71.87 85.47NZL New Zealand 84.40 78.41 85.01FIN Finland 84.62 75.77 87.04ESP Spain 84.99 81.18 84.29SWE Sweden 85.20 77.95 85.99MEX Mexico 86.18 83.57 85.18IRL Ireland 86.68 80.53 88.44

KOR Korea 86.90 83.12 86.30ITA Italy 88.14 82.25 88.73DNK Denmark 88.82 81.91 89.80


Source: The International Civic and Citizenship Education Study (ICCS) 2009, http://iccs.acer.edu.au


C14

(Flemish only)

Children's intentions to vote Children's civic participation

Percentage of 14 year old students who have the intention to vote in national elections when they are adults, 2009 Percentage of 14 year-old students who participated organisations, groups or clubs in the last 12 months, 2009

National Index of Socio-economic Background (NISB)*ISO Country Country average National Index of Socio-economic Background (NISB)*

High Low63.70 FIN Finland 21.74 18.5782.61 DNK Denmark 22.44 19.0585.36 KOR Korea 23.63 19.6579.71 CZE Czech Republic 25.25 23.5678.89 SWE Sweden 25.41 19.5284.18 ESP Spain 28.85 25.2384.19 NOR Norway 30.30 26.3480.97 EST Estonia 30.38 30.2379.15 CHE Switzerland 34.52 28.5780.43 LUX Luxembourg 35.09 29.7584.84 BEL Belgium 36.32 36.1485.87 OECD 23 36.42 33.4785.36 NLD Netherlands 36.46 37.1587.68 SVK Slovak Republic 37.17 34.5991.42 GBR United Kingdom 39.24 34.0290.64 ITA Italy 39.34 35.1391.95 IRL Ireland 40.48 38.5089.95 AUT Austria 43.36 37.4291.55 GRC Greece 44.44 41.9590.35 NZL New Zealand 45.23 41.3991.75 SVN Slovenia 47.83 42.4091.31 POL Poland 49.65 46.6694.25 MEX Mexico 50.19 52.0194.75 CHL Chile 50.37 52.08

* Definition used for socio-economic status * Definition used for socio-economic status

The International Civic and Citizenship Education Study (ICCS) 2009, http://iccs.acer.edu.au Source: The International Civic and Citizenship Education Study (ICCS) 2009, http://iccs.acer.edu.au

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international

Children's civic participation

Percentage of 14 year-old students who participated organisations, groups or clubs in the last 12 months, 2009

National Index of Socio-economic Background (NISB)*Middle High23.42 23.5920.30 28.3421.58 29.6725.35 27.4325.24 31.2029.79 32.0631.00 33.4429.32 31.1834.62 40.9634.83 41.2334.43 38.7036.31 39.8333.22 39.9238.06 39.7739.68 44.6038.50 45.2839.63 43.5844.72 48.4745.70 45.7345.94 48.7648.74 52.3351.86 51.9049.96 48.1049.31 49.74


The International Civic and Citizenship Education Study (ICCS) 2009, http://iccs.acer.edu.au

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of international

Children living in poor environmental conditions

ISO Country Country averageIncome

Low Middle HighAUS Australia 10.30 14.10 10.10 5.57IRL Ireland 12.00 .. .. ..

NOR Norway 15.80 14.80 13.00 16.90SWE Sweden 16.10 13.70 18.60 16.80ISL Iceland 16.30 16.80 18.30 15.20POL Poland 17.70 18.50 15.50 18.90HUN Hungary 17.90 18.40 17.60 19.00DNK Denmark 18.60 24.60 21.50 15.50FIN Finland 18.80 23.40 17.40 13.60ESP Spain 18.90 18.40 17.30 18.30EST Estonia 19.10 20.60 18.50 20.00AUT Austria 21.20 22.80 22.80 15.70

OECD 25 21.58 23.50 21.56 19.90SVK Slovak Republic 21.70 23.60 19.60 21.10CHE Switzerland 21.90 21.90 18.60 23.70SVN Slovenia 21.90 23.30 21.80 19.60GBR United Kingdom 23.20 24.90 22.50 21.20CZE Czech Republic 23.40 24.40 23.50 22.10FRA France 23.70 30.30 18.90 18.90LUX Luxembourg 24.50 28.00 24.50 21.50ITA Italy 25.40 27.10 25.00 22.00BEL Belgium 26.50 .. .. ..PRT Portugal 29.40 29.20 30.30 28.50NLD Netherlands 31.10 37.10 26.90 23.40DEU Germany 31.70 32.70 32.50 31.10GRC Greece 32.30 31.80 41.20 29.10

Percentage of 0-17 year-old children living in homes with self-reported poor environmental conditions, around 2012

Source: Source: EU-SILC 2012, HILDA 2012 (Australia). HILDA is the Household, Income and Labour Dynamics (HILDA) carried out by the University of Melbourne.


Children who find it easy to talk to their parents

ISO Country Country averageFamily Affluence Scale*

Low Middle HighFRA France 74.40 69.20 73.50 76.70USA United States 79.20 72.70 78.40 82.50BEL Belgium 79.90 73.80 80.30 82.70NOR Norway 81.70 80.30 81.10 82.40LUX Luxembourg 82.10 78.80 80.40 85.00SVK Slovak Republic 82.30 80.30 83.00 82.90PRT Portugal 82.80 79.00 82.20 85.10CHE Switzerland 83.00 78.50 83.50 84.00CAN Canada 83.60 80.10 83.10 85.80ITA Italy 83.60 84.00 83.90 83.00TUR Turkey 84.20 83.50 86.00 83.80DEU Germany 85.10 81.20 84.50 88.00IRL Ireland 85.30 84.80 84.80 87.40

GBR United Kingdom 85.50 80.60 84.90 87.90OECD 26 85.59 82.09 85.63 87.24

CZE Czech Republic 85.80 82.60 86.10 86.70AUT Austria 86.00 81.40 86.00 88.60DNK Denmark 86.70 84.30 87.00 87.60SWE Sweden 87.80 84.50 87.30 90.30GRC Greece 88.00 84.80 89.40 88.00FIN Finland 88.90 83.60 89.40 91.00ESP Spain 89.40 85.00 90.00 90.40EST Estonia 90.00 86.20 90.50 92.60POL Poland 90.30 87.80 91.10 91.50ISL Iceland 91.80 85.90 91.20 93.60NLD Netherlands 93.70 89.70 93.70 94.80HUN Hungary 94.30 91.70 95.20 96.00


Percentage of girls and boys aged 11, 13 and 15 who report that they can easily talk to at least one of their parents, 2010

Source: Health and Behaviour in School-aged Children Study (HBSC) 2010, http://www.hbsc.org/.

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West

Students reporting having kind and helpful classmates


Low Middle HighGRC Greece 44.00 42.70 45.10 42.30POL Poland 51.00 50.50 51.70 51.30USA United States 56.20 50.30 54.70 60.10CZE Czech Republic 56.40 51.40 57.50 56.60FRA France 57.00 53.00 57.10 57.50HUN Hungary 58.50 56.30 59.00 61.10CAN Canada 58.70 52.00 59.50 62.10SVK Slovak Republic 61.80 62.40 63.40 59.40TUR Turkey 62.00 62.30 62.00 58.40GBR United Kingdom 64.80 57.60 64.20 68.50EST Estonia 65.00 60.00 65.80 66.80FIN Finland 66.30 63.50 66.60 68.20ESP Spain 66.90 63.40 68.10 66.50

OECD 27 68.15 64.06 68.41 69.35ITA Italy 68.40 69.10 69.20 67.20AUT Austria 69.60 67.10 69.40 72.00IRL Ireland 73.00 70.30 73.80 73.70LUX Luxembourg 73.60 68.40 73.20 75.60BEL Belgium 75.00 71.30 75.10 76.80SVN Slovenia 76.70 74.10 76.70 77.10DNK Denmark 77.10 70.30 77.60 79.80DEU Germany 78.10 74.00 78.70 79.50NOR Norway 78.40 65.90 77.90 80.70CHE Switzerland 78.90 74.20 79.30 79.80PRT Portugal 79.20 78.00 78.30 81.60ISL Iceland 80.40 70.90 80.10 82.60NLD Netherlands 80.40 72.00 80.50 82.90SWE Sweden 82.70 78.70 82.70 84.30



Percentage of girls and boys aged 11, 13 and 15 who agree that most of their classmates are kind and helpful, 2010

Students feeling pressured by schoolwork


Low Middle HighDEU Germany 3.93 5.23 3.65 3.81AUT Austria 3.95 5.35 3.27 3.39HUN Hungary 4.36 3.93 4.43 4.95NLD Netherlands 4.37 7.03 3.86 4.68EST Estonia 5.59 7.74 5.21 4.67SVK Slovak Republic 6.32 6.62 5.70 6.26CZE Czech Republic 7.14 10.40 6.64 6.37CHE Switzerland 7.16 7.83 6.88 7.32FRA France 7.77 8.72 7.79 7.16BEL Belgium 8.68 9.99 7.78 8.82SWE Sweden 8.72 11.70 8.45 8.02POL Poland 9.36 9.47 10.10 7.98DNK Denmark 9.44 13.40 8.94 9.04FIN Finland 9.73 12.50 9.18 8.64ISL Iceland 10.10 13.00 10.10 9.77

OECD 27 10.77 12.32 10.36 10.49LUX Luxembourg 10.90 17.40 10.40 10.20GRC Greece 11.00 11.60 9.85 12.60PRT Portugal 11.70 11.30 10.80 13.20NOR Norway 11.80 14.10 11.90 11.50GBR United Kingdom 14.10 13.90 13.90 14.60ITA Italy 14.10 14.40 14.00 13.80SVN Slovenia 14.10 14.70 13.90 14.20CAN Canada 14.50 17.10 13.90 13.70IRL Ireland 14.90 15.30 14.70 14.10USA United States 17.10 15.10 16.90 18.10ESP Spain 20.70 24.70 19.80 20.30TUR Turkey 29.20 30.00 27.80 26.10



Percentage of girls and boys aged 11, 13 and 15 who report that they feel a lot of pressure by schoolwork, 2010

Students liking school

Percentage of girls and boys aged 11, 13 and 15 who report liking school, 2010


Low Middle HighEST Estonia 55.60 52.00 57.60 54.90ITA Italy 61.90 56.00 63.40 61.90POL Poland 63.40 61.40 64.40 64.60GRC Greece 63.60 61.60 63.40 65.30SVK Slovak Republic 63.80 61.90 66.20 63.40SVN Slovenia 64.30 65.50 65.20 63.00ESP Spain 66.20 63.40 65.70 68.40LUX Luxembourg 67.40 59.10 68.40 68.20FIN Finland 68.10 62.70 68.90 70.60IRL Ireland 69.30 68.70 69.00 72.40BEL Belgium 70.30 66.70 70.70 72.30CHE Switzerland 71.50 68.90 71.60 72.50FRA France 73.10 68.30 72.50 75.50

OECD 26 73.57 69.94 73.90 74.79CAN Canada 74.00 70.40 74.90 76.00HUN Hungary 75.50 73.80 76.30 76.60USA United States 76.40 71.10 76.50 78.10GBR United Kingdom 76.80 73.60 76.40 79.30PRT Portugal 78.30 75.10 78.00 80.90SWE Sweden 80.50 76.80 80.30 82.50AUT Austria 81.60 74.70 82.70 84.40TUR Turkey 82.70 83.80 81.20 75.90DNK Denmark 83.30 77.20 83.30 86.20NLD Netherlands 83.50 80.40 83.60 84.50DEU Germany 84.90 81.90 84.90 86.70NOR Norway 85.90 80.30 85.20 87.70ISL Iceland 91.00 83.10 91.00 92.70



Children who report having been bullied

ISO CountryFamily Affluence Scale*

Low Middle HighITA Italy 3.90 5.54 3.52 3.60

SWE Sweden 3.96 5.72 3.51 3.74CZE Czech Republic 5.25 6.97 4.91 4.91ESP Spain 5.97 5.70 5.68 6.34DNK Denmark 6.21 6.74 5.92 6.31ISL Iceland 6.32 11.40 6.35 5.20SVN Slovenia 7.18 10.80 7.57 6.12NLD Netherlands 7.51 11.40 7.34 6.98HUN Hungary 7.72 7.57 7.76 7.60GRC Greece 8.49 10.10 7.83 8.32NOR Norway 8.58 13.80 8.72 7.69GBR United Kingdom 9.31 11.80 9.15 7.80IRL Ireland 9.33 10.50 9.13 9.43

OECD 26 10.08 12.39 9.87 9.39SVK Slovak Republic 10.10 9.55 8.62 12.20DEU Germany 10.20 13.90 10.00 8.42POL Poland 10.30 11.10 9.11 11.20FIN Finland 10.70 11.00 10.60 10.10USA United States 10.90 13.90 10.60 10.20LUX Luxembourg 12.80 16.80 13.30 11.10CHE Switzerland 13.40 15.60 13.60 12.40FRA France 13.90 16.10 14.20 12.80CAN Canada 14.00 16.70 13.60 13.20PRT Portugal 14.00 16.10 13.90 12.80BEL Belgium 16.50 19.20 16.50 15.20AUT Austria 17.50 21.80 17.90 14.30EST Estonia 18.10 22.40 17.40 16.30


Percentage of girls and boys aged 11, 13 and 15 who have been bullied at least twice in the last two months, 2010

Country average



Children's life satisfaction

ISO CountryFamily Affluence Scale*

Low Middle HighTUR Turkey 6.63 6.47 6.93 7.13POL Poland 7.23 6.87 7.30 7.51CAN Canada 7.36 6.77 7.34 7.70DEU Germany 7.40 6.92 7.39 7.69HUN Hungary 7.43 6.88 7.58 7.93SVK Slovak Republic 7.49 7.19 7.48 7.75GBR United Kindom 7.51 7.06 7.45 7.79CZE Czech Republic 7.51 6.96 7.49 7.80ITA Italy 7.52 7.21 7.47 7.69DNK Denmark 7.52 7.01 7.58 7.67FRA France 7.53 7.14 7.49 7.70USA United States 7.53 7.01 7.50 7.75PRT Portugal 7.53 7.28 7.46 7.74BEL Belgium 7.58 7.12 7.58 7.77

OECD 27 7.59 7.13 7.59 7.84AUT Austria 7.61 7.25 7.59 7.87IRL Ireland 7.64 7.50 7.65 7.83EST Estonia 7.67 7.18 7.74 7.91SVN Slovenia 7.67 7.15 7.63 7.82LUX Luxembourg 7.69 7.08 7.61 7.96SWE Sweden 7.71 7.31 7.66 7.96CHE Swizterland 7.73 7.21 7.70 8.01NOR Norway 7.74 7.00 7.68 7.94FIN Finland 7.76 7.39 7.75 8.02

GRC Greece 7.85 7.52 7.88 7.98ISL Iceland 7.97 6.98 7.92 8.22NLD Netherlands 7.99 7.66 7.94 8.19ESP Spain 8.06 7.45 8.11 8.25


Average life satisfaction score of girls and boys aged 11, 13 and 15 on a scale from 0 to 10 (highest), 2010

Country average


The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East

Distribution of volunteers by field of activityPercentage of volunteers, 2008 or latest available year

ISO CountryFields of volunteering

Sports Others

AUT Austria 30.77 26.82 15.77 18.41 8.22BEL Belgium 25.38 28.30 9.28 27.35 9.69CAN Canada 38.01 30.22 8.68 14.18 8.92CHL Chile 26.84 33.21 11.90 23.90 4.16CZE Czech Republic 20.85 27.02 12.60 26.07 13.47DNK Denmark 23.51 32.85 6.40 29.33 7.92EST Estonia 18.88 43.45 14.33 14.98 8.36FIN Finland 29.95 19.96 9.62 23.80 16.67FRA France 24.26 23.32 6.40 24.83 21.18DEU Germany 18.45 22.91 13.00 32.38 13.26GRC Greece 20.47 27.18 19.90 16.05 16.40HUN Hungary 15.60 36.43 9.94 21.03 17.00ISL Iceland 26.94 21.47 13.31 31.64 6.64IRL Ireland 22.19 26.22 8.61 36.46 6.52ITA Italy 26.47 35.07 12.31 14.62 11.53JPN Japan 37.46 26.15 12.72 16.96 6.71KOR Korea 44.14 27.63 9.54 16.50 2.19LUX Luxembourg 28.92 28.86 13.41 25.26 3.55MEX Mexico 35.06 33.22 11.98 17.61 2.13NLD Netherlands 34.49 29.14 10.52 19.88 5.97NOR Norway 20.04 17.12 7.99 35.06 19.79POL Poland 16.08 24.99 13.10 22.01 23.82PRT Portugal 31.79 31.23 13.94 13.11 9.92SVK Slovak Republic 31.98 25.69 10.62 19.21 12.50SVN Slovenia 26.53 29.80 10.80 19.77 13.10ESP Spain 27.46 30.04 20.23 14.49 7.78SWE Sweden 23.09 24.36 9.68 26.98 15.88CHE Switzerland 18.83 25.28 18.34 23.63 13.92TUR Turkey 33.80 45.02 8.93 7.06 5.18GBR United Kingdom 35.75 30.08 7.69 15.39 11.11USA United States 36.47 38.81 7.20 10.10 7.42

OECD 31 27.08 29.00 11.65 21.49 10.78BRA Brazil 53.66 21.00 6.75 17.26 1.33RUS Russian federation 17.86 36.16 7.14 20.98 17.86

Social and health

servicesEducation

and cultureSocial

movements

Note: Data refer to 2000 for Canada, Chile, Japan and Mexico; and to 2001 for China, Korea, India and South Africa. Data for England and Northern Ireland are presented combined (GBR).

Source: OECD calculations based on data from the European Values Survey (2011), European Values Study 2008, Integrated Dataset (EVS 2008), Data file version 3.0.0, GESIS Data Archive, http://dx.doi.org/10.4232/1.11004, for European countries; and the World Values Survey Association (2009), World Values Survey, Wave 5 2005-2008, Official Aggregate v.20140429, World Values Survey Association (database), www.worldvaluessurvey.org, for non-European countries.


The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem

Participation rates in formal volunteering Frequency of formal volunteering

Percentage of formal volunteers, by frequency, 2012

ISO Country 2012 ISO Country

AUS Australia 39.51 AUS AustraliaAUT Austria 35.49 AUT AustriaBEL Belgium 34.15 BEL BelgiumCAN Canada 48.72 CAN CanadaCHL Chile .. CHL ChileCZE Czech Republic 17.74 CZE Czech RepublicDNK Denmark 44.06 DNK DenmarkEST Estonia 27.71 EST EstoniaFIN Finland 43.75 FIN FinlandFRA France 25.22 FRA FranceDEU Germany 34.81 DEU GermanyGRC Greece .. GRC GreeceHUN Hungary .. HUN HungaryISL Iceland .. ISL IcelandIRL Ireland 38.62 IRL IrelandISR Israel .. ISR IsraelITA Italy 21.56 ITA ItalyJPN Japan 33.47 JPN JapanKOR Korea 26.43 KOR KoreaLUX Luxembourg .. LUX LuxembourgMEX Mexico .. MEX MexicoNDL Netherlands 40.75 NDL NetherlandsNZL New Zealand .. NZL New ZealandNOR Norway 57.34 NOR NorwayPOL Poland 19.38 POL PolandPRT Portugal .. PRT PortugalSVK Slovak Republic 23.37 SVK Slovak RepublicSVN Slovenia .. SVN SloveniaESP Spain 18.07 ESP SpainSWE Sweden 36.23 SWE SwedenCHE Switzerland .. CHE SwitzerlandTUR Turkey .. TUR TurkeyGBR United Kingdom 31.09 GBR United KingdomUSA United States 55.73 USA United States

OECD 22 34.2 OECD 22RUS Russian federation 19.11 RUS Russian federation

Percentage of the working-age population who declared having volunteered through an organisation

in the preceding 12 months, 2012

Note: Data for Belgium refer to Flanders; data for England and Northern Ireland are presented combined (GBR). Data for the Russian Federation exclude the Moscow municipal area.

Source: OECD calculations based on data from OECD (2012), OECD Survey of Adult Skills (PIAAC database), http://www.oecd.org/site/piaac/.

Frequency of formal volunteering

Percentage of formal volunteers, by frequency, 2012

Frequency of volunteering

Every day

47.28 21.84 27.06 3.8238.04 28.57 27.44 5.9541.11 26.15 25.15 7.5847.52 24.16 23.97 4.35

.. .. .. ..46.17 23.11 24.63 6.0945.42 25.69 24.74 4.1564.02 20.10 12.70 3.1852.87 26.49 17.21 3.4341.83 22.56 28.07 7.5335.02 27.00 31.77 6.21

.. .. .. ..

.. .. .. ..

.. .. .. ..48.86 21.54 24.55 5.05

.. .. .. ..41.74 21.06 28.48 8.7266.69 22.68 8.99 1.6455.20 29.59 13.77 1.44

.. .. .. ..

.. .. .. ..33.52 27.09 33.60 5.79

.. .. .. ..51.01 25.15 20.68 3.1660.84 19.92 13.98 5.26

64.48 22.89 10.61 2.01.. .. .. ..

44.49 23.57 22.41 9.5248.63 24.21 22.55 4.61

.. .. .. ..

.. .. .. ..43.71 21.74 29.66 4.8947.03 26.63 21.87 4.4747.95 24.52 22.81 4.7163.37 17.90 12.14 6.59

Less than once a month

Less than once a week but at least

once a month

At least once a week but not every day

: Data for Belgium refer to Flanders; data for England and Northern Ireland are presented combined (GBR). Data for the Russian Federation exclude the Moscow municipal area.

: OECD calculations based on data from OECD (2012), OECD Survey of Adult Skills (PIAAC database), http://www.oecd.org/site/piaac/.

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank under the terms of

Time spent in formal, 2013 or latest available year

ISO CountryVolunteers All respondents

NZL New Zealand 147 13AUS Australia 94 10USA United States 130 9DEU Germany 144 8IRL Ireland 123 8BEL Belgium 173 5NDL Netherlands 125 5AUT Austria 164 4CAN Canada 169 4FIN Finland 125 4JPN Japan 172 4SWE Sweden 130 4

OECD 25 133 4DNK Denmark 134 3GBR United Kingdom 128 3ITA Italy 176 2NOR Norway 114 2PRT Portugal 76 2EST Estonia 132 1FRA France 101 1HUN Hungary 168 1KOR Korea 131 1MEX Mexico 37 1POL Poland 126 1SVN Slovenia 137 1ESP Spain 165 1

Average minutes of volunteering per day, by all respondents and by volunteers only, among people aged 15-64

Average minutes of volunteering per day

Note: Countries are ranked in ascending order of time allocated to formal volunteering (Panel A) and informal volunteering (Panel B) by all respondents. Data refer to: 2013 for the United States; 2011 for Japan; 2010 for Canada; 2009-10 for Estonia, Finland, New Zealand and Spain; 2009 for Korea and Mexico; 2008-08 for Austria, France and Italy; 2006 for Australia; 2005-06 for the Netherlands; 2005 for Belgium, Ireland, and the United Kingdom; 2003-04 for Poland; 2001-02 for Germany; 2001 for Denmark; 2000-01 for Norway, Slovenia and Sweden; 1999-2000 for Hungary and 1999 for Portugal. Data refer to respondents aged 20 to 74 for Belgium, Germany, Norway, Poland, Slovenia and Sweden; to respondents aged 15 and over for Australia; and to respondents aged 10 and over for Korea. Data are only broadly comparable.

Source: OECD calculations based on the Harmonised European Time Use Survey web application, https://www.h2.scb.se/tus/tus/; Eurostat Time Use database, http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=tus_00selfstat&lang=en; public-use time use survey micro-data; and tabulations from national statistical offices.


: Countries are ranked in ascending order of time allocated to formal volunteering (Panel A) and informal volunteering (Panel B) by all respondents. Data refer to: 2013 for the United States; 2011 for Japan; 2010 for Canada; 2009-10 for Estonia, Finland, New Zealand and Spain; 2009 for Korea and Mexico; 2008-08 for Austria, France and Italy; 2006 for Australia; 2005-06 for the Netherlands; 2005 for Belgium, Ireland, and the United Kingdom; 2003-04 for Poland; 2001-02 for Germany; 2001 for Denmark; 2000-01 for Norway, Slovenia and Sweden; 1999-2000 for Hungary and 1999 for Portugal. Data refer to respondents aged 20 to 74 for Belgium, Germany, Norway, Poland, Slovenia and Sweden; to respondents aged 15 and over for Australia; and to respondents aged 10 and over for Korea. Data are only broadly comparable.

: OECD calculations based on the Harmonised European Time Use Survey web application, https://www.h2.scb.se/tus/tus/; Eurostat Time Use database, http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=tus_00selfstat&lang=en; public-use time use survey micro-data; and tabulations from national statistical offices.

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem

Prevalence and frequency of formal volunteering, by individual and household characteristicsPercentage, working-age population, 2012

Individual and household characteristics

Prevalence rates by frequency of engagement

Every day

OECD 22 35.9 1.7EDUCATIONPrimary education 24.4 1.5Secondary education 34.5 1.6Tertiary education 47.9 1.9EMPLOYMENT STATUSFull-time employed 36.9 1.4Part-time employed 40.5 2.1Unemployed 26.1 2.4Student 42.2 1.3Unpaid worker 30.3 2.1Early retired 29.7 2.3HOUSEHOLD ECONOMIC STATUSLower income 25.8 1.9Middle income 36.2 1.5Higher income 49.3 1.8

Prevalence rates, regardless of frequency

Source: OECD calculations based on data from OECD (2012), OECD Survey of Adult Skills (PIAAC database), http://www.oecd.org/site/piaac/.


Prevalence and frequency of formal volunteering, by individual and household characteristicsPercentage, working-age population, 2012

Prevalence rates by frequency of engagement

7.7 8.9 17.7

5.2 5.7 12.07.4 8.3 17.29.2 10.9 25.9

7.0 8.8 19.89.2 10.8 18.56.1 6.3 11.38.4 10.8 21.78.4 7.6 12.29.1 8.1 10.3

3.1 6.5 14.37.7 8.5 18.69.0 12.8 25.7

At least once a week

Less than once a week

Less than once a month

: OECD calculations based on data from OECD (2012), OECD Survey of Adult Skills (PIAAC database), http://www.oecd.org/site/piaac/.

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank

The statistical data for Israel are supplied by and under the responsibility of the relevant Israeli authorities. The use of such data by the OECD is without prejudice to the status of the Golan Heights, East Jerusalem and Israeli settlements in the West Bank

REGIONAL WELL-BEING

DimensionIncome Jobs

Indicator

Unemployment rate

Unit US Dollar Percentage Percentage

Year Around 2010

RegionsAustralia

AU1: New South Wales 27742.4 15.3 5.7 AU2: Victoria 24513.2 15.2 6.6 AU3: Queensland 26101.9 13.7 6.4 AU4: South Australia 25435.0 15.8 6.7 AU5: Western Australia 31802.7 12.5 5.2 AU6: Tasmania 22907.3 18.8 7.2 AU7: Northern Territory (NT) 32965.6 9.8 4.0 AU8: Australian Capital Territory (ACT) 50392.6 6.7 4.2

Austria AT11: Burgenland (AT) 23686.4 4.8 AT12: Lower Austria 24711.3 5.1 AT13: Vienna 23405.5 10.2 AT21: Carinthia 22848.8 6.0 AT22: Styria 23302.8 4.9 AT31: Upper Austria 24018.6 4.0 AT32: Salzburg 24277.0 3.5 AT33: Tyrol 23304.0 3.2 AT34: Vorarlberg 24706.0 3.4

Belgium BE1: Brussels Capital Region 18630.6 22.1 18.3 BE2: Flemish Region 21222.1 5.6 5.1 BE3: Wallonia 18314.5 12.6 11.8

Canada CA10: Newfoundland and Labrador 23243.1 11.4 11.9 CA11: Prince Edward Island 19459.7 13.3 10.6 CA12: Nova Scotia 20317.5 12.8 9.0 CA13: New Brunswick 20190.1 10.5 9.9 CA24: Quebec 19706.4 12.6 7.7 CA35: Ontario 22376.1 11.4 7.3 CA46: Manitoba 20535.2 13.7 5.4 CA47: Saskatchewan 24326.0 9.6 3.8 CA48: Alberta 29663.8 7.7 4.7 CA59: British Columbia 23293.2 14.1 6.1

Household disposable income

per capita

Regional relative poverty



E7

Poverty headcounts, with the poverty line defined at 50% of the national median income.

D9

Data refer to 2012 for Chile, Finland, Germany, Hungary, Ireland, Italy, Mexico, Norway, Poland, the Slovak Republic, Slovenia, Sweden and Switzerland; and to 2011 for Belgium, France, Israel, Japan, Portugal and Spain.

F9

Data refer to 2013 for Chile and Israel.

CA60: Yukon 30198.8 CA61: Northwest Territories 30202.5 CA62: Nunavut 23181.2

Chile CL01: Tarapacá 6153.8 13.6 6.3 CL02: Antofagasta 8243.2 6.8 5.5 CL03: Atacama 6530.8 15.4 5.5 CL04: Coquimbo 5172.7 19.0 6.6 CL05: Valparaíso 6020.8 18.5 7.0 CL06: O'Higgins 5541.6 16.4 4.9 CL07: Maule 5017.1 23.9 5.6 CL08: Bío-Bío 5393.0 25.4 7.6 CL09: Araucanía 5159.9 33.9 6.8 CL10: Los Lagos 5562.0 23.2 3.0 CL11: Aysén 7958.2 14.1 4.7 CL12: Magallanes y Antártica 8619.5 9.5 3.7 CL13: Santiago Metropolitan 8670.0 12.7 5.7 CL14: Los Rios 5329.6 25.9 5.3 CL15: Arica Y Parinacota 5722.0 17.9 5.6

Czech Republic CZ01: Prague 15945.5 3.3 2.5 CZ02: Central Bohemian Region 13115.2 4.0 5.1 CZ03: Southwest 11875.7 3.9 5.5 CZ04: Northwest 10642.1 9.3 8.7 CZ05: Northeast 11481.7 4.3 6.3 CZ06: Southeast 12034.8 6.0 5.9 CZ07: Central Moravia 11045.5 6.3 6.9 CZ08: Moravia-Silesia 10855.2 10.2 8.6

Denmark DK01: Capital (DK) 18234.2 6.9 7.3 DK02: Zealand 17497.0 5.0 6.4 DK03: Southern Denmark 17096.7 5.6 6.8 DK04: Central Jutland 17248.6 5.8 6.2 DK05: Northern Jutland 17375.2 6.1 6.6

Finland FI19: Western Finland 17690.5 8.6 8.7 FI1B: Helsinki-Uusimaa 21091.1 4.4 7.3 FI1C: Southern Finland 18053.6 8.7 9.4 FI1D: Eastern and Northern Finland 16899.6 9.0 10.0 FI20: Åland 21281.2 4.0

France FR10: Ile de France 26102.3 6.9 9.6 FR21: Champagne-Ardenne 20222.8 7.8 11.1 FR22: Picardy 20390.0 7.5 11.5 FR23: Upper Normandy 20856.3 5.9 11.8 FR24: Centre (FR) 21549.2 5.8 9.5 FR25: Lower Normandy 20767.2 7.6 8.1 FR26: Burgundy 21312.3 8.9 10.6 FR30: Nord-Pas-de-Calais 18593.3 10.8 13.7 FR41: Lorraine 19792.7 8.4 11.7 FR42: Alsace 21029.8 7.4 10.0

FR43: Franche-Comté 20586.8 6.7 9.8 FR51: Pays de la Loire 20702.6 7.5 8.5 FR52: Brittany 20810.7 6.1 7.4 FR53: Poitou-Charentes 20694.1 7.1 10.9 FR61: Aquitaine 21120.1 7.2 9.0 FR62: Midi-Pyrénées 20938.0 8.5 9.0 FR63: Limousin 21008.9 8.2 9.2 FR71: Rhône-Alpes 21857.0 7.3 8.7 FR72: Auvergne 21232.2 7.1 7.3 FR81: Languedoc-Roussillon 19526.8 12.8 12.2 FR82: Provence-Alpes-Côte d'Azur 21357.9 9.4 10.0 FR83: Corsica 19783.0 11.9 9.8

Germany DE1: Baden-Württemberg 25351.9 6.5 3.1 DE2: Bavaria 26279.8 8.5 2.9 DE3: Berlin 20370.5 11.1 9.8 DE4: Brandenburg 20728.4 9.2 6.7 DE5: Bremen 23267.4 2.0 6.6 DE6: Hamburg 25426.4 5.7 5.0 DE7: Hesse 24352.7 6.5 4.4 DE8: Mecklenburg-Vorpommern 19562.8 16.8 9.6 DE9: Lower Saxony 22730.7 8.7 4.6 DEA: North Rhine-Westphalia 23493.1 7.9 5.6 DEB: Rhineland-Palatinate 24868.1 12.9 3.9 DEC: Saarland 22309.7 10.3 5.8 DED: Saxony 20464.4 10.7 7.2 DEE: Saxony-Anhalt 19913.7 17.4 8.8 DEF: Schleswig-Holstein 24064.2 8.3 4.6 DEG: Thuringia 20079.3 10.5 6.0

Greece GR1: Northern Greece 8654.6 16.2 27.1 GR2: Central Greece 9094.7 16.2 26.0 GR3: Athens 13958.2 13.0 27.3 GR4: Aegean Islands and Crete 9103.2 9.6 22.5

Hungary HU10: Central Hungary 11525.4 6.2 HU21: Central Transdanubia 10134.7 5.6 HU22: Western Transdanubia 10131.0 4.6 HU23: Southern Transdanubia 9063.2 7.8 HU31: Northern Hungary 8573.4 10.4 HU32: Northern Great Plain 8422.6 11.8 HU33: Southern Great Plain 8926.6 9.0

Iceland IS01: Capital Region 5.4 IS02: Other Regions 4.0

Ireland IE01: Border, Midland and Western 17961.1 12.3 IE02: Southern and Eastern 20619.8 10.9

Israel IL01: Jerusalem District 7031.6 38.6 7.1 IL02: Northern District 6789.8 30.6 8.1

IL03: Haifa District 9987.1 19.5 6.4 IL04: Central District 11401.4 10.5 5.1 IL05: Tel Aviv District 12825.0 12.6 5.2 IL06: Southern District 7952.2 22.6 6.9

Italy ITC1: Piedmont 23460.5 8.8 11.3 ITC2: Aosta Valley 25504.9 5.6 8.9 ITC3: Liguria 23269.4 8.9 10.8 ITC4: Lombardy 24581.6 6.8 8.2 ITF1: Abruzzo 18179.5 15.1 12.6 ITF2: Molise 17733.4 17.6 15.2 ITF3: Campania 14289.4 24.9 21.7 ITF4: Apulia 15799.8 19.9 21.5 ITF5: Basilicata 16226.6 21.6 14.7 ITF6: Calabria 15277.8 20.2 23.4 ITG1: Sicily 14779.2 31.7 22.2 ITG2: Sardinia 17274.0 15.2 18.6 ITH1: Province of Bolzano-Bozen 26236.4 4.3 4.4 ITH2: Province of Trento 22815.0 9.1 6.9 ITH3: Veneto 23039.1 6.1 7.5 ITH4: Friuli-Venezia Giulia 23820.5 4.5 8.0 ITH5: Emilia–Romagna 24928.4 5.1 8.3 ITI1: Tuscany 22356.4 7.0 10.1 ITI2: Umbria 21202.3 8.5 11.3 ITI3: Marche 21718.8 9.6 10.1 ITI4: Lazio 22820.9 10.5 12.5

Japan JPA: Hokkaido 17965.9 19.0 4.2 JPB: Tohoku 17838.2 19.3 3.5 JPC: Northern-Kanto, Koshin 18978.3 14.9 3.3 JPD: Southern-Kanto 21997.1 12.2 3.5 JPE: Hokuriku 19479.0 12.6 3.2 JPF: Toukai 20258.9 11.3 2.8 JPG: Kansai region 19146.5 16.4 4.1 JPH: Chugoku 18692.8 13.7 3.2 JPI: Shikoku 17102.7 20.7 3.7 JPJ: Kyushu, Okinawa 17209.0 25.1 4.3

Korea KR01: Capital Region (KR) 17093.5 4.0 KR02: Gyeongnam Region 16498.7 3.1 KR03: Gyeonbuk Region 15334.9 3.4 KR04: Jeolla Region 14829.8 2.7 KR05: Chungcheong Region 15508.8 3.3 KR06: Gangwon Region 14158.9 3.1 KR07: Jeju 15848.0 2.0

Mexico* ME01: Aguascalientes 3865.0 15.9 5.8 ME02: Baja California Norte 4623.0 10.8 5.7 ME03: Baja California Sur 4456.0 13.6 4.9 ME04: Campeche 3764.0 21.7 3.2 ME05: Coahuila 4205.0 14.2 5.3

ME06: Colima 4093.0 12.6 4.4 ME07: Chiapas 1786.0 48.9 3.4 ME08: Chihuahua 3532.0 16.2 3.2 ME09: Federal District (MX) 5845.0 5.4 6.8 ME10: Durango 2896.0 26.3 6.0 ME11: Guanajuato 2881.0 19.2 4.7 ME12: Guerrero 2294.0 48.7 1.5 ME13: Hidalgo 2918.0 28.7 4.1 ME14: Jalisco 4002.0 16.8 5.0 ME15: Mexico 3186.0 14.8 6.6 ME16: Michoacan 2538.0 25.8 3.2 ME17: Morelos 3015.0 16.4 4.1 ME18: Nayarit 3503.0 26.9 5.7 ME19: Nuevo Leon 5066.0 9.2 5.6 ME20: Oaxaca 2070.0 39.8 2.6 ME21: Puebla 2319.0 32.2 4.1 ME22: Queretaro 4009.0 17.0 5.9 ME23: Quintana Roo 4114.0 17.6 4.5 ME24: San Luis Potosi 2847.0 27.4 3.2 ME25: Sinaloa 3860.0 17.7 5.8 ME26: Sonora 4680.0 13.7 5.0 ME27: Tabasco 3023.0 28.8 6.6 ME28: Tamaulipas 3809.0 14.8 5.2 ME29: Tlaxcala 2381.0 23.7 5.8 ME30: Veracruz 2614.0 29.3 3.7 ME31: Yucatan 3519.0 18.4 2.4 ME32: Zacatecas 2717.0 35.5 4.8

Netherlands NL1: North Netherlands 15333.9 8.2 7.2 NL2: East Netherlands 16793.0 6.6 6.9 NL3: West Netherlands 18671.7 8.6 6.8 NL4: South Netherlands 17752.5 6.6 6.5

New Zealand NZ01: North Island (NZ) 16270.9 12.2 6.4 NZ02: South Island (NZ) 17476.3 10.1 3.7

Norway NO01: Oslo and Akershus 24941.9 9.9 3.8 NO02: Hedmark and Oppland 21090.9 7.0 2.9 NO03: South-Eastern Norway 21743.4 6.6 4.1 NO04: Agder and Rogaland 23077.6 6.2 3.1 NO05: Western Norway 22617.4 7.3 3.0 NO06: Trøndelag 21949.5 9.7 3.8 NO07: Northern Norway 21896.4 6.4 3.3

Poland PL11: Lodzkie 11931.0 8.9 PL12: Mazovia 14157.6 7.2 PL21: Lesser Poland 11155.5 9.1 PL22: Silesia 13242.3 8.6 PL31: Lublin Province 10256.4 9.9 PL32: Podkarpacia 9341.5 14.0 PL33: Swietokrzyskie 10409.4 11.4

PL34: Podlasie 9904.9 9.1 PL41: Greater Poland 12353.0 7.7 PL42: West Pomerania 11487.1 8.4 PL43: Lubusz 10801.4 8.3 PL51: Lower Silesia 12074.4 9.1 PL52: Opole region 10551.2 7.8 PL61: Kuyavian-Pomerania 10568.8 10.7 PL62: Warmian-Masuria 10238.8 9.8 PL63: Pomerania 11617.5 8.6

Portugal PT11: North (PT) 13572.2 14.8 PT15: Algarve 16196.9 14.5 PT16: Central Portugal 14583.7 10.6 PT17: Lisbon 20368.9 14.9 PT18: Alentejo 15032.4 14.3 PT20: Azores (PT) 16529.9 16.3 PT30: Madeira (PT) 15712.4 15.1

Slovak Republic SK01: Bratislava Region 22157.1 3.7 6.0 SK02: West Slovakia 11844.3 7.2 11.0 SK03: Central Slovakia 11616.2 7.4 15.9 SK04: East Slovakia 9667.6 10.5 16.6

Slovenia SI01: Eastern Slovenia 13493.4 11.2 11.1 SI02: Western Slovenia 14714.4 7.5 8.1

Spain ES11: Galicia 16312.6 12.3 21.7 ES12: Asturias 18052.8 9.1 21.1 ES13: Cantabria 17263.8 11.8 19.4 ES21: Basque Country 22892.7 7.8 16.3 ES22: Navarra 21945.8 6.3 15.7 ES23: La Rioja 18342.4 17.1 18.2 ES24: Aragon 19003.0 11.2 20.2 ES30: Madrid 20976.7 10.3 18.7 ES41: Castile and León 17339.2 15.3 20.8 ES42: Castile-La Mancha 14247.7 20.8 29.0 ES43: Extremadura 13157.3 25.5 29.8 ES51: Catalonia 19475.1 11.0 20.3 ES52: Valencia 15494.1 13.4 25.8 ES53: Balearic Islands 17314.5 14.6 20.0 ES61: Andalusia 13826.6 21.8 34.8 ES62: Murcia 14276.9 21.2 26.6 ES63: Ceuta 15336.1 23.2 31.9 ES64: Melilla 14030.2 25.5 28.4 ES70: Canary Islands 14728.4 22.7 32.4

Sweden SE11: Stockholm 23655.7 8.6 7.1 SE12: East Middle Sweden 19077.3 9.7 8.3 SE21: Småland with Islands 18615.8 8.8 6.7 SE22: South Sweden 18828.2 11.6 10.0 SE23: West Sweden 19785.0 9.5 7.6

SE31: North Middle Sweden 18035.9 11.5 8.6 SE32: Central Norrland 18248.0 9.1 7.4 SE33: Upper Norrland 18538.9 8.7 7.4

Switzerland CH01: Lake Geneva Region 26967.7 10.0 6.7 CH02: Espace Mittelland 23223.6 11.9 4.3 CH03: Northwestern Switzerland 27148.6 8.4 4.3 CH04: Zurich 31153.7 7.2 4.1 CH05: Eastern Switzerland 24678.1 8.9 3.2 CH06: Central Switzerland 27891.7 7.0 3.5 CH07: Ticino 21466.5 14.3 6.7

Turkey TR10: Istanbul 11.9 TR21: Thrace 7.6 TR22: Southern Marmara - West 5.6 TR31: Izmir 13.9 TR32: Southern Aegean 7.1 TR33: Northern Aegean 3.9 TR41: Eastern Marmara - South 6.3 TR42: Eastern Marmara - North 10.0 TR51: Ankara 11.5 TR52: Central Anatolia - West and South 5.6 TR61: Mediterranean region - West 8.3 TR62: Mediterranean region - Middle 10.7 TR63: Mediterranean region - East 15.3 TR71: Central Anatolia - Middle 7.7 TR72: Central Anatolia - East 9.6 TR81: Western Black Sea - West 6.0 TR82: Western Black Sea - Middle and East 6.4 TR83: Middle Black Sea 6.3 TR90: Eastern Black Sea 6.2 TRA1: Northeastern Anatolia - West 7.5 TRA2: Northeastern Anatolia - East 3.5 TRB1: Eastern Anatolia - West 7.5 TRB2: Eastern Anatolia - East 13.5 TRC1: Southeastern Anatolia - West 8.1 TRC2: Southeastern Anatolia - Middle 17.3 TRC3: Southeastern Anatolia - East 24.2

United Kingdom UKC: North East England 18482.8 10.8 8.9 UKD: North West England 19079.0 9.9 6.7 UKE: Yorkshire and The Humber 18893.1 11.1 7.2 UKF: East Midlands 19714.7 10.3 5.5 UKG: West Midlands 19279.7 11.7 7.1 UKH: East of England 22990.0 7.5 5.1 UKI: Greater London 28013.5 10.0 6.9 UKJ: South East England 24694.0 7.2 4.6 UKK: South West England 21951.0 8.3 4.7 UKL: Wales 19081.4 11.1 6.6 UKM: Scotland 21094.6 10.2 5.9 UKN: Northern Ireland 17766.5 13.0 6.4

United States US01: Alabama 28684.2 19.5 7.1 US02: Alaska 38746.0 11.8 7.1 US04: Arizona 28597.1 20.8 7.0 US05: Arkansas 27706.0 24.1 5.9 US06: California 36019.3 18.4 7.5 US08: Colorado 35334.0 14.5 4.9 US09: Connecticut 45214.7 10.5 6.5 US10: Delaware 35126.3 15.2 5.8 US11: District of Columbia 58951.3 21.6 7.9 US12: Florida 28831.2 18.3 6.3 US13: Georgia 29855.2 21.3 7.2 US15: Hawaii 33737.0 12.8 4.3 US16: Idaho 27040.4 16.0 4.7 US17: Illinois 36122.8 15.9 7.0 US18: Indiana 31147.3 17.9 6.0 US19: Iowa 35475.4 12.0 4.6 US20: Kansas 33699.4 15.8 4.5 US21: Kentucky 28974.5 21.6 6.5 US22: Louisiana 32219.7 24.4 6.4 US23: Maine 31977.7 14.3 5.8 US24: Maryland 41466.8 9.9 5.8 US25: Massachusetts 43853.6 12.9 5.8 US26: Michigan 31169.9 16.5 7.2 US27: Minnesota 37430.8 11.0 4.0 US28: Mississippi 27792.6 23.5 7.6 US29: Missouri 31228.2 17.1 6.4 US30: Montana (US) 28674.6 17.0 4.6 US31: Nebraska 35595.6 13.1 3.2 US32: Nevada 29128.9 18.5 7.7 US33: New Hampshire 39112.9 8.6 4.2 US34: New Jersey 43472.7 12.1 6.7 US35: New Mexico 28187.9 22.6 7.0 US36: New York 41867.8 18.5 6.4 US37: North Carolina 30071.0 19.6 6.2 US38: North Dakota 45133.7 11.0 2.9 US39: Ohio 32805.9 17.2 5.6 US40: Oklahoma 32711.8 17.8 4.5 US41: Oregon 30740.7 15.4 7.1 US42: Pennsylvania 36181.4 15.7 5.7 US44: Rhode Island 36317.2 15.9 7.8 US45: South Carolina 27838.8 22.3 6.4 US46: South Dakota 33393.5 15.8 3.6 US47: Tennessee 31963.6 19.6 6.6 US48: Texas 34868.0 19.1 5.0 US49: Utah 28334.1 10.6 3.9 US50: Vermont 35039.0 11.4 4.0 US51: Virginia 36988.3 13.4 5.2 US53: Washington 35731.1 12.6 6.3 US54: West Virginia 28994.0 20.4 6.6 US55: Wisconsin 33678.8 13.4 5.6

US56: Wyoming 35573.9 12.2 4.5

Note: Data are based on

regional national accounts

information provided by the

National Statistical

Offices, except for Turkey and

Switzerland where income

data are OECD's

calculations based on EU-

SILC and Turkish SILC.

Note: Poverty headcounts,

with the poverty line defined at

50% of the national median

income.

Note: Data refer to TL2 regions.

Values for Canada exclude

Yukon, Northwest

Territories and Nunavut

regions; values for Denmark

exclude Åland.

Source: OECD (2015), Regional

Well-Being (database),

http://dx.doi.org/10.1787/region-

data-en




data-en




data-en


REGIONAL WELL-BEING

Education Environment Access to services

Percentage Percentage

2013

Australia76.2 2.9 75.0

77.2 4.6 77.0

74.0 2.8 78.0

70.8 3.3 75.0

74.8 3.2 79.0

65.6 1.9 72.0

70.7 4.8 79.0

88.1 4.0 85.0

Austria84.9 17.1 78.0

84.6 16.6 74.0

84.0 17.5 83.0

87.4 18.4 75.0

85.5 17.4 81.0

81.1 15.1 81.0

85.5 17.5 78.0

81.0 11.2 83.0

80.0 22.0 83.0

Belgium74.2 19.3 78.0

81.3 17.2 85.0

76.7 17.5 77.0

Canada85.7 3.2 78.8

84.0 3.1 77.7

87.0 3.6 79.6

85.7 4.2 76.7

87.4 6.2 78.1

90.1 8.9 84.1

85.8 7.4 79.9

86.3 8.1 82.6

88.0 6.7 85.7

91.2 5.2 86.5

Share of labour force with at least

secondary education

Air pollution, level of PM2.5

Share of households with internet

broadband access

Micrograms per cubic metres

Three-year average measures (2010-

2012)2014 or latest available year

I9

Data refer to 2013 for Australia, Austria, Belgium, Denmark, Estonia, Germany, Greece, Ireland, Israel. Italy, Japan, Netherlands, Norway, Spain, Turkey, United Kingdom. Data refer to 2012 for Canada, Chile, Iceland, New Zealand, Slovenia, Sweden. Data refer to 2011 for the United States.

3.1

2.2

1.4

Chile84.3 18.1 38.0

87.3 16.5 54.0

79.8 11.9 32.0

75.4 4.2 25.0

82.2 4.2 38.0

68.8 7.2 18.0

60.5 6.3 16.0

72.4 3.7 25.0

68.4 3.6 17.0

67.7 2.4 23.0

67.3 2.2 21.0

84.1 1.3 33.0

82.7 7.8 50.0

68.2 2.8 21.0

83.3 16.5 49.0

Czech Republic97.2 18.8 88.0

95.0 17.0 77.0

94.9 13.9 75.0

89.5 14.7 68.0

94.0 15.5 70.0

95.9 16.3 78.0

94.8 19.7 76.0

93.9 21.0 74.0

Denmark81.8 13.6 87.0

74.4 12.1 86.0

73.6 11.2 85.0

74.7 9.1 90.0

73.6 7.3 89.0

Finland84.9 5.1 85.0

86.5 7.8 92.0

84.6 6.0 88.0

85.6 5.1 86.0

78.4 7.6

France77.7 14.2 84.0

72.8 13.8 76.0

68.7 14.3 77.0

73.7 12.1 80.0

78.0 11.5 75.0

77.3 9.5 65.0

76.5 11.4 69.0

76.8 16.3 79.0

77.9 12.6 74.0

81.2 18.6 76.0

75.8 14.4 81.0

79.8 9.3 78.0

84.3 8.4 73.0

78.7 9.0 77.0

78.9 10.5 73.0

83.2 10.4 78.0

79.7 8.1 72.0

79.3 13.4 76.0

79.0 9.8 72.0

72.2 10.0 81.0

75.3 11.0 75.0

66.2 8.8 70.0

Germany84.5 16.6 83.0

86.3 14.7 85.0

85.7 17.6 88.0

92.9 15.6 71.0

81.9 13.6 91.0

86.2 14.6 87.0

86.1 14.2 84.0

92.3 11.4 75.0

85.1 13.2 89.0

82.9 16.8 87.0

83.3 15.0 85.0

83.2 14.3 83.0

94.6 13.9 79.0

92.6 14.0 81.0

86.1 12.5 86.0

94.5 12.3 87.0

Greece66.1 18.6 50.0

61.0 14.9 40.0

80.5 14.1 68.0

62.1 14.2 47.0

Hungary91.4 19.4 82.0

84.9 17.9 76.0

87.0 18.3 77.0

86.0 16.7 73.0

84.8 18.3 66.0

83.2 19.5 68.0

86.4 17.9 68.0

Iceland76.1 2.5 93.0

62.1 2.3 91.0

Ireland77.2 5.0 59.0

81.9 5.7 70.0

Israel86.0 21.6 53.1

83.4 23.8 61.5

Data on regional relative poverty is not available for the Hungarian regions at TL2 level. The data below refers to the Hungarian regions at a more aggregated level (NUTS1).

89.1 23.1 67.2

90.7 21.4 77.4

90.6 22.5 77.7

88.7 24.7 73.6

Italy64.1 21.1 65.0

58.4 18.8 67.0

68.2 14.0 64.0

65.9 26.7 71.0

70.6 10.9 69.0

63.0 11.9 59.0

59.9 15.0 60.0

56.8 12.3 60.0

63.8 10.5 65.0

62.5 12.3 59.0

58.3 11.8 58.0

54.3 8.8 70.0

62.6 16.3 74.0

72.7 15.1 71.0

65.5 23.8 74.0

68.3 19.9 70.0

67.0 18.9 75.0

61.5 11.7 72.0

71.9 10.7 73.0

65.1 9.8 72.0

72.8 11.0 71.0

Japan76.5 8.7 61.0

74.6 10.9 62.0

79.1 14.2 68.0

87.2 17.9

75.4 14.5 69.0

78.7 13.9 74.0

83.0 12.7 81.0

82.0 11.5 66.0

76.8 12.6 59.0

78.9 14.2 60.0

Korea86.0 27.4 99.2

79.3 16.1 98.3

73.7 20.0 97.8

71.7 23.5 97.6

75.3 25.7 97.4

71.1 19.8 97.2

76.9 15.1 98.2

Mexico*42.4 9.1 37.9

42.5 6.8 51.5 *income data for Mexican regions refers to 2014. This differs from the 2012 data described in Figure 6.3 of How's Life? 2015. 46.3 6.1 43.8

40.1 4.2 27.1

44.5 8.4 34.6

41.7 9.4 45.2

26.9 6.9 9.5

38.1 6.2 42.9

57.6 15.1 53.0

37.1 8.1 30.3

30.6 16.1 27.5

33.1 11.0 20.7

33.9 13.7 25.6

39.9 12.2 41.4

41.6 15.7 33.3

29.8 13.9 23.7

40.7 26.2 38.4

40.0 6.1 35.9

48.4 9.4 55.1

27.9 8.8 14.0

33.7 13.7 23.8

41.0 16.3 32.3

43.5 3.7 46.7

37.0 10.4 27.2

47.5 7.5 38.1

45.5 6.1 45.9

40.5 8.2 28.6

43.9 6.6 37.2

37.0 11.7 24.8

35.0 11.3 21.2

38.0 3.4 29.5

30.4 7.2 25.8

Netherlands74.6 12.7 85.0

73.8 16.0 87.0

76.7 15.8 88.0

73.5 16.9 85.0

New Zealand73.4 2.4 75.0

72.8 2.1 75.0

Norway85.1 5.9 92.0

78.3 4.4 90.0

78.6 6.1 86.0

81.1 5.3 84.0

81.4 3.5 86.0

82.9 3.0 91.0

76.4 3.1 85.0

Poland90.8 20.4 66.0

93.5 16.9 75.3

93.5 19.8 71.7

95.3 21.4 68.2

90.3 17.9 70.8

90.8 18.0 74.3

90.7 17.6 66.5

Data on regional relative poverty is not available for the Polish regions at TL2 level. The data below refers to the Polish regions at a more aggregated level (NUTS1).

I243

E: Estimated value

I244

E: Estimated value

I245

E: Estimated value

I246

E: Estimated value

I247

E: Estimated value

I248

E: Estimated value

89.3 15.1 70.8

93.8 18.5 74.6

90.7 14.1 66.5

92.6 16.7 63.3

92.7 15.9 71.9

92.8 19.7 71.5

91.3 17.0 69.9

88.5 14.1 64.1

92.0 12.5 78.8

Portugal36.7 9.2 61.1

42.6 8.0 64.3

37.3 7.6 56.9

52.3 7.8 72.4

38.8 7.7 53.4

28.9 3.3 69.0

36.0 4.9 67.1

Slovak Republic96.2 18.6 78.0

95.4 19.0 76.0

93.9 15.5 74.0

92.0 16.8 78.0

Slovenia86.2 15.8 72.0

90.0 17.3 74.0

Spain56.4 7.4 64.0

64.3 9.7 70.0

66.0 8.5 74.0

73.2 7.1 73.0

66.8 10.1 71.0

62.0 10.1 63.0

63.7 13.0 67.0

71.6 10.9 78.0

60.6 9.3 66.0

50.2 10.5 63.0

44.2 8.7 60.0

58.7 11.3 71.0

55.7 10.6 66.0

54.9 8.1 68.0

49.8 10.3 66.0

50.2 10.9 66.0

44.7 11.3 81.0

52.8 13.3 65.0

52.3 6.8 67.0

Sweden85.2 6.5 89.0

82.2 6.3 85.0

80.5 7.5 86.0

82.3 12.0 88.0

82.6 7.9 88.0

I249

E: Estimated value

I250

E: Estimated value

I251

E: Estimated value

I252

E: Estimated value

I253

E: Estimated value

I254

E: Estimated value

I255

E: Estimated value

I256

E: Estimated value

I257

E: Estimated value

82.1 5.0 83.0

82.9 3.9 84.0

86.9 3.5 86.0

Switzerland81.8 14.7 85.0

83.4 15.1 81.0

85.7 16.7 87.0

86.1 20.4 93.0

82.3 16.5 87.0

83.3 14.8 87.0

83.0 13.6 77.0

Turkey47.3 14.7 63.0

41.5 15.5 63.0

34.7 15.2 41.0

44.8 15.1 57.0 Household disposable income per capita

29.8 16.1 39.0 NUTS1

26.4 17.8 32.0

44.6 20.5 55.0 TR1 Istanbul 15425.941.2 17.8 54.0 TR2 West Marmar 1120559.7 20.6 55.0 TR3 Aegean 13841.830.6 20.8 40.0 TR4 Eastern Marm 11506.638.0 17.4 50.0 TR5 Western Anato 13388.337.8 23.0 36.0 TR6 Mediterranean 10874.630.0 22.3 38.0 TR7 Central Anatol 10427.334.8 18.9 44.0 TR8 Western Blac 10327.732.7 18.5 40.0 TR9 Eastern Black 10045.631.9 14.5 49.0 TRA Northeastern 8120.829.0 13.1 37.0 TRB Eastern Anato 7431.328.7 14.2 35.0 TRC Southeastern 5921.130.8 12.3 35.0

34.7 17.4 28.0

22.4 22.3 41.0

32.8 20.3 41.0

22.8 22.9 15.0

27.8 21.5 31.0

24.3 23.0 20.0

33.8 26.4 28.0

United Kingdom80.8 7.3 77.0

80.7 11.1 85.0

79.9 9.5 84.0

80.0 10.3 89.0

78.2 9.7 82.0

80.7 10.4 89.0

86.5 10.2 94.0

83.5 10.5 90.0

82.8 10.5 93.0

81.4 8.9 83.0

83.5 7.0 85.0

76.5 6.3 87.0

Data on household disposable income per capita and regional relative poverty is not available for the Turkish regions at TL2 level. The data below refers to the Turkish regions at a more

aggregated level (NUTS1).

United States83.3 7.9 56.0

90.6 3.1 70.0

85.2 6.4 67.0

84.4 8.3 57.0

81.8 7.0 66.0

89.7 5.7 77.0

89.1 8.1 77.0

87.2 10.2 68.0

88.1 13.6 67.0

85.9 5.3 70.0

84.1 8.7 65.0

90.6 3.4 63.0

88.8 5.1 69.0

87.2 10.6 67.0

86.7 10.5 64.0

90.7 9.7 68.0

89.6 8.7 72.0

83.6 9.5 62.0

82.4 5.9 62.0

91.0 5.6 71.0

88.7 12.2 74.0

89.3 7.4 75.0

88.6 9.3 70.0

91.6 10.0 78.0

81.7 6.3 51.0

87.5 9.6 65.0

91.7 4.7 61.0

90.3 8.7 70.0

83.8 5.7 67.0

91.3 6.6 79.0

88.1 10.5 73.0

83.1 5.4 54.0

85.3 11.4 68.0

84.7 8.8 65.0

91.2 6.8 70.0

88.1 11.0 66.0

85.9 7.1 59.0

89.2 3.7 73.0

88.6 11.3 67.0

85.9 7.3 71.0

84.3 7.9 61.0

89.6 6.7 69.0

85.0 9.1 59.0

81.3 6.3 57.0

90.2 5.2 74.0

91.6 6.3 72.0

88.0 10.0 68.0

89.5 4.1 79.0

84.5 9.6 60.0

90.1 9.4 74.0

91.1 5.2 71.0

Note: Data refer to three-year

average measures

(2010-2012). The values provide the

average level of air pollution in each region. The regional average is

obtained by weighting the

observed levels of PM2.5 by the population in a 1km2 grid and summing the values within each region.

Source: OECD (2015) Regional



data-en




data-en. Calculations

based on Van Donkelaar et al.

(2015).




data-en.



NUTS1

HU1 Central Hunga 4.8HU2 Transdanubia 6.9HU3 Great Plain a 9.4

Data on regional relative poverty is not available for the Hungarian regions at TL2 level. The data below refers to the Hungarian regions at a more aggregated level (NUTS1).

*income data for Mexican regions refers to 2014. This differs from the 2012 data described in Figure 6.3 of How's Life? 2015.


NUTS1

Data on regional relative poverty is not available for the Polish regions at TL2 level. The data below refers to the Polish regions at a more aggregated level (NUTS1).

PL1 Central region 10.3PL2 South region 11.4PL3 East region 13.9PL4 Northeast Wes 10.8PL5 South-West re 8.8PL6 North region 9.8


NUTS1

TR1 Istanbul 4TR2 West Marmar 14.2TR3 Aegean 9TR4 Eastern Marm 7.5TR5 Western Anato 9.2TR6 Mediterranean 18TR7 Central Anatol 15.4TR8 Western Blac 13.3TR9 Eastern Black 13.1TRA Northeastern 30.3TRB Eastern Anato 38.6TRC Southeastern 50.4

Data on household disposable income per capita and regional relative poverty is not available for the Turkish regions at TL2 level. The data below refers to the Turkish regions at a more

aggregated level (NUTS1).

Regional disparities in average exposure to air pollutionRegions with the lowest and highest exposure to PM 2.5 levels, 2011

ISO Country Min Max Range

MEX Mexico 3.39 11.53 26.16 22.77ITA Italy 8.79 16.71 26.69 17.90CHL Chile 1.26 6.44 18.09 16.83TUR Turkey 12.31 18.26 26.43 14.12KOR Korea 15.07 23.83 27.35 12.28AUT Austria 11.22 16.65 21.96 10.74FRA France 8.05 12.32 18.63 10.58USA United States 3.05 8.26 13.63 10.58JPN Japan 8.72 14.23 17.93 9.20POL Poland 12.54 17.68 21.39 8.85SWE Sweden 3.52 7.20 11.96 8.43CAN Canada 1.40 7.07 8.87 7.47CZE Czech Republic 13.88 17.09 20.95 7.07CHE Switzerland 13.63 16.36 20.44 6.81ESP Spain 6.78 10.00 13.33 6.54DEU Germany 11.37 15.10 17.61 6.24DNK Denmark 7.34 11.18 13.55 6.22PRT Portugal 3.33 8.13 9.23 5.90GBR United Kingdom 6.30 9.71 11.09 4.79GRC Greece 14.05 15.76 18.64 4.59NLD Netherlands 12.72 15.75 16.85 4.14SVK Slovak Republic 15.50 17.45 19.00 3.50ISR Israel 21.36 22.73 24.71 3.35

NOR Norway 3.02 4.81 6.07 3.05AUS Australia 1.90 3.36 4.79 2.88HUN Hungary 16.68 18.55 19.52 2.84FIN Finland 5.08 6.00 7.77 2.69BEL Belgium 17.20 17.48 19.27 2.08SVN Slovenia 15.84 16.49 17.27 1.43IRL Ireland 5.04 5.55 5.74 0.70NZL New Zealand 2.10 2.31 2.38 0.28ISL Iceland 2.30 2.38 2.47 0.17

BRA Brazil 1.74 5.71 9.17 7.43RUS Russian federation 1.76 11.82 19.44 17.67

Country average

Note: Data refer to three-year average measures (2010-2012). The values provide the average level of air pollution in each region. The regional average is obtained by weighting the observed levels of PM2.5 by the population in a 1km2 grid and summing the values within each region.

Source: OECD (2015) Regional Well-Being (database), http://dx.doi.org/10.1787/region-data-en. Calculations based on Van Donkelaar et al. (2015).


Regional disparities in average exposure to air pollutionRegions with the lowest and highest exposure to PM 2.5 levels, 2011

Region Min Region Max

Yucatan MorelosSardinia Lombardy

TarapacáEastern Black Sea

JejuTyrol Vorarlberg

Limousin Alsace Alaska District of Columbia

Hokkaido Southern-KantoPomerania Silesia

Upper Norrland South SwedenNunavut Ontario

Southwest Moravia-SilesiaTicino Zurich

Canary Islands MelillaBerlin

Northern Jutland CapitalAzores North

Northern Ireland North West EnglandAthens Northern Greece

North Netherlands South NetherlandsCentral Slovakia West SlovakiaCentral District Southern District

Trøndelag South-Eastern NorwayTasmania Northern Territory

Southern Transdanubia Northern Great PlainWestern Finland Helsinki-UusimaaFlemish Region

Eastern Slovenia Western SloveniaSouthern and Eastern

North Island Capital Region

Sao Paulo

Magallanesy Antártica Southeastern

Anatolia - EastCapitalRegion

Mecklenburg-Vorpommern

BrusselsCapital Region

Border, Midlandand WesternSouth

IslandOtherRegionsRio Grandedo NorteSakhaRepublic

Federal Cityof Moscow

Data refer to three-year average measures (2010-2012). The values provide the average level of air pollution in each region. The regional average is obtained by weighting the observed levels of PM2.5 by the population in a 1km2 grid and summing the values within each region.

, http://dx.doi.org/10.1787/region-data-en. Calculations based on Van Donkelaar et al. (2015).


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