Annex B. Sources and data description12
User guide: List of variables
|
||
---|---|---|
Variables used |
Page |
Chapter(s) |
Area |
147 |
2 |
Age-adjusted mortality rates based on mortality data |
148 |
1 |
Death rates due to diseases of the respiratory system |
148 |
1 |
Employment at place of work and gross value added by industry |
149 |
2 |
Gini index of household disposable income |
149 |
1 |
Gross domestic product (GDP) |
150 |
2 |
Homicides |
151 |
1 |
Hospital beds |
152 |
4 |
Household disposable income |
153 |
1 |
Households with broadband connection |
154 |
4 |
Housing expenditures as a share of household disposable income |
155 |
1 |
Individuals with unmet medical needs |
155 |
1 |
Labour force, employment at place of residence by gender, unemployment, total and growth |
156 |
1 and 2 |
Labour force by educational attainment |
158 |
1 |
Life expectancy at birth, total and by gender |
159 |
1 |
Life satisfaction |
159 |
1 |
Local governments in metropolitan areas |
160 |
2 |
Metropolitan population, total and by age |
161 |
2 |
Motor vehicle theft |
162 |
1 |
Municipal waste and recycled waste |
163 |
4 |
Number of rooms per person |
163 |
1 |
Part-time employment |
164 |
4 |
Perception of corruption |
164 |
1 |
PCT patent and co-patent applications, total and by sector |
165 |
2 |
Physicians |
165 |
4 |
PM2.5 particle concentration |
166 |
1 |
Population, total, by age and gender |
166 |
2 |
Population mobility among regions |
167 |
4 |
R&D expenditure |
169 |
2 |
R&D personnel |
170 |
2 |
Social network support |
170 |
1 |
Subnational government expenditure, revenue, investment and debt |
171 |
3 |
Voter turnout |
171 |
1 |
Young population neither in employment nor in education or training |
172 |
4 |
Youth unemployment |
173 |
4 |
Area
|
|
---|---|
Source |
|
EU23 countries1 |
Eurostat: General and regional statistics, demographic statistics, population and area |
Australia |
Australian Bureau of Statistics (ABS), summing up SLAs |
Canada |
Statistics Canada http://www12.statcan.ca/english/census01/products/standard/popdwell/Table-CD-P.cfm?PR=10&T=2&SR=1&S=1&O=A |
Iceland |
Statistics Iceland |
Israel |
Central Bureau of Statistics – Statistical Abstract of Israel. |
Japan |
Statistical Office, Area by Configuration, Gradient and Prefecture www.stat.go.jp/English/data/nenkan/1431-01.htm |
Korea |
Korea National Statistical Office |
Mexico |
Mexican Statistical Office (INEGI) |
New Zealand |
Statistics New Zealand, data come from the report “Water Physical Stock Account 1995–2005” |
Norway |
Statistics Norway, StatBank table: Table: 09280: Area of land and fresh water (km²) (M) |
Switzerland |
Office fédéral de la statistique, ESPOP, RFP |
Turkey |
Eurostat: General and regional statistics, demographic statistics, population and area |
United States |
Census Bureau www.census.gov/population/www/censusdata/density.html |
Brazil |
Instituto Brasileiro de Geografia e Estadística (IBGE) |
China |
National Bureau of Statistics of China |
India |
Statistics India (Indiastat) |
Russian Federation |
Federal State Statistics Service of Russian Federation |
South Africa |
Statistics South Africa |
← 1. EU23 countries : Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and the United Kingdom. |
Age-adjusted mortality rates based on mortality data
|
|||
---|---|---|---|
Source |
Year |
Territorial level |
|
Australia |
Australian Bureau of Statistics; Table 3302.0 |
2012 |
2 |
Austria |
Statistics Austria |
2013 |
2 |
Belgium |
Federal Public Service Economy/Statistics Belgium |
2013 |
2 |
Canada1 |
Statistics Canada; CANSIM, Table 051-0002 |
2013 |
2 |
Chile |
INE |
2012 |
2 |
Czech Republic |
Institute of Health Information and Statistics of the Czech Republic |
2013 |
2 |
Denmark |
Statistics Denmark; Table FOD207 |
2013 |
2 |
Estonia |
Statistics Estonia; Table PO052 |
2013 |
3 |
Finland |
Statistics Finland |
2013 |
2 |
France |
Insee |
2013 |
2 |
Germany |
Federal Office of Germany and the Statistical Offices of the Federal States |
2013 |
2 |
Greece |
Hellenic Statistical Authority |
2013 |
2 |
Hungary |
Hungarian Central Statistical Office |
2013 |
2 |
Iceland |
Statistics Iceland |
2013 |
2 |
Ireland |
CSO; Table VSA07 |
2013 |
2 |
Israel |
Central Bureau of Statistics Israel |
2013 |
2 |
Italy |
Istat; Table P.5 |
2013 |
2 |
Japan |
Statistics Bureau of Japan, MIC |
2013 |
2 |
Korea |
Statistics Korea |
2013 |
2 |
Mexico |
National Institute of Statistics and Geography (INEGI) |
2012 |
2 |
Netherlands2 |
Eurostat regional statistics; Table demo_r_pjangrp3 |
2013 |
2 |
New Zealand |
Statistics New Zealand |
2013 |
2 |
Norway |
Statistics Norway; Table 01222 and 08426 |
2013 |
2 |
Poland |
Central Statistical Office of Poland |
2013 |
2 |
Portugal |
Statistics Portugal |
2013 |
2 |
Slovak Republic |
Statistical Office of the SR |
2013 |
2 |
Slovenia |
Statistical Office of the Republic of Slovenia |
2013 |
2 |
Spain |
INE |
2013 |
2 |
Sweden |
Statistics Sweden |
2013 |
2 |
Switzerland |
Swiss Federal Statistical Office; Table BEVNAT |
2013 |
2 |
Turkey |
Turkish Statistical Institute |
2013 |
2 |
United Kingdom3 |
Eurostat regional statistics; Table demo_r_pjangrp3 |
2013 |
2 |
United States |
US Centers for Disease Control and Prevention |
2013 |
2 |
Brazil |
Ministry of Health |
2013 |
2 |
Colombia |
DCD |
2013 |
2 |
Latvia2 |
Eurostat regional statistics; Table demo_r_pjangrp3 |
2013 |
3 |
Peru |
Ministry of Health |
2013 |
2 |
Russian Federation |
Federal State Statistics Service |
2013 |
2 |
← 1. Canada: Stillbirths are excluded. Data refer to the age attained at the last birthday preceding death. |
|||
← 2. Data refer to the age reached during the year. |
|||
← 3. United Kingdom: Data refer to the age in completed years. |
Death rates due to diseases of the respiratory system
|
|||
---|---|---|---|
Source |
Years |
Territorial Level |
|
EU17 countries1 + Switzerland |
Eurostat (2015) Deaths from diseases of the respiratory system by NUTS 2, crude death rates per 100 000 inhabitants http://ec.europa.eu/eurostat/data/database. |
2010 |
2 |
← 1. Europe17 countries: Austria, Czech Republic, Germany, Spain, Finland, France, Greece, Hungary, Ireland, Italy, the Netherlands, Norway, Poland, Portugal, Slovak Republic, Slovenia, Sweden. |
Employment at place of work and gross value added by industry (ISIC rev. 4)
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
EU23 countries1 |
Eurostat, Regional economic accounts, Branch accounts, Employment |
2000-13 |
2 |
Australia2 |
Australian Bureau of Statistics, cat. no. 5220.0 – Australian National Accounts: State Accounts, and Table 6291.0.55.003 Labour Force |
2000-13 |
2 |
Canada |
Statistics Canada. CANSIM database, Tables 379-0028 Gross domestic product (GDP) at basic prices and 282-0008 Labour force survey estimates (LFS), by North American Industry Classification System |
2002-12 |
2 |
Chile |
Banco Central de Chile |
2013 |
2 |
Iceland |
n.a. |
- |
- |
Israel |
n.a. |
- |
- |
Japan |
Statistics Bureau, Economically Active Population Survey & Local Area Labour Force Survey |
2009-12 |
2 |
Korea |
Korean National Statistical Office – KOSIS Census on basic characteristics of establishments |
2004-12 |
2 |
Mexico |
INEGI. Consulta interactiva de datos www.inegi.org.mx/sistemas/olap/proyectos/bd/consulta.asp?p=16859&c=17383&s=est&cl=3#. |
2013 |
2 |
New Zealand |
Statistics New Zealand. Gross domestic product by industry, per region |
2000-12 |
2 |
Norway |
Eurostat, Regional economic accounts, Branch accounts, Employment |
2013 |
2 |
Switzerland |
Federal Statistical Office FSO. Gross value added (GVA) by canton and industries (je-e-04.06.02) and Swiss Labour Force Survey – SLFS |
2002-2012 |
2 |
Turkey |
Turkish Statistical Institue (TurkStat). Employment data from the Household Labour Force Survey. No regional breakdown for GVA by industry. |
2009-14 |
2 |
United States |
Bureau of Economic Analysis. Gross Value Added by State and employment by industry (SA25, SA25N) |
2000-12 |
2 |
← 1. EU23 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and the United Kingdom. Data availability: Last available year: 2012 for Slovak Republic, Poland, Sweden, Hungary, Slovenia, Czech Republic, Portugal, Spain, Ireland, France, Austria, Denmark, Finland, Australia, Canada, Belgium, Greece; 2011 for Portugal. First available year 2009 for Belgium. Germany and Netherlands data are not included for the productivity growth due to lack of comparable data for the period. |
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← 2. Australia: Data are derived from ANZSIC and do not match the ISIC classification. |
Gini index of household disposable income (regional)
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
EU-SILC |
2010-14 |
2 |
|
Canada |
Canadian Income Survey, 2013 reference income |
2013 |
2 |
Chile |
Source: Encuesta de Caracterización Socioeconómica Nacional (CASEN), 2013 |
2013 |
2 |
Denmark |
Danish Law Model System 2013 |
2013 |
2 |
France |
ERFS, 2010 reference income |
2010 |
2 |
Germany |
Socio-Economic-Panel (SOEP), 2013 reference income |
2013 |
2 |
Israel |
Household expenditure survey 2014 |
2014 |
2 |
Japan |
Comprehensive Survey of Living Conditions, 2009 |
2009 |
2 |
Mexico |
Encuesta Nacional de Ingreso y Gastos des Hogares 2014 |
2014 |
2 |
Netherlands |
Income Panel Survey, 2014 |
2014 |
2 |
Norway |
Income and Wealth Statistics for Household, 2014 reference income |
2014 |
2 |
New Zealand |
Household economic survey, 2011 reference income |
2011 |
2 regions |
Sweden |
Swedish Household Income Survey, 2013 reference income |
2013 |
2 |
Turkey |
Turkish SILC, 2013 reference income |
2013 |
2 |
United Kingdom |
Households Below Average Income, average for 2010-2012 |
2010-12 |
2 |
United States |
CPS ASEC (redesigned), average for 2013-14 reference income |
2013-14 |
2 |
1. Belgium, Czech Republic, Greece, Hungary (NUTS1), Ireland, Poland (NUTS1) and Slovak Republic: EU-SILC, 2014 wave (2013 reference income) ; Austria and Spain: EU-SILC, 3-year average 2011-13 reference income ; Slovenia and Switzerland: EU-SILC, 2011 wave (2010 reference income) ; Finland : EU-SILC, 2015 wave, 2014 reference income ; Italy: EU-SILC, 3-year average 2012-14 reference income. |
Gross domestic product
|
|||
---|---|---|---|
|
Source |
Years |
Territorial level |
Eurostat, Regional economic accounts |
2000-13 |
2, 3 and metropolitan areas |
|
Australia3 |
Australian Bureau of Statistics, 5220.0. Gross state product, figures based on fiscal year (July-June). |
2000-13 |
2 and metropolitan areas |
Canada3 |
Statistics Canada, Provincial economic accounts |
2000-13 |
2 and metropolitan areas |
Banco central de Chile. Cunetas nacionales de Chile |
2000-13 |
2 and metropolitan areas |
|
Iceland4 |
n.a. |
- |
- |
Israel4 |
n.a. |
- |
- |
Economic and Social Research Institute, Cabinet Office, data are based on fiscal year (April-March). |
2000-13 |
2, 3 and metropolitan areas and metropolitan areas |
|
Korea3 |
Korean National Statistical Office |
2000-13 |
2, 3 and metropolitan areas |
Mexico3 |
INEGI, System of national accounts of Mexico |
2000-13 |
2 and metropolitan areas |
New Zealand |
Statistics New Zealand |
2000-13 |
2,3 |
Norwegian Regional Accounts |
2008-12 |
2, 3 and metropolitan areas |
|
Swiss Federal Statistical Office, Statweb |
2008-12 |
2, 3 and metropolitan areas |
|
Turkey |
Turkish Statistical Institute (TurkStat), no data available after 2001 |
- |
2 |
United States3 |
Bureau of Economic Analysis |
2000-13 |
2 and metropolitan areas |
Brazil |
Instituto Brasileiro de Geografia e Estadística (IBGE) |
2000-12 |
2 |
China |
National Bureau of Statistics of China |
2004-12 |
2 |
Colombia |
Departamento Administrativo Nacional de Estadistica |
2001-10 |
2 |
India |
Statistics India (Indiastat) |
2004-10 |
2 |
Indonesia |
Statistics Indonesia. |
2004-12 |
2 |
Russian Federation |
Federal State Statistics Service of Russian Federation |
2000-12 |
2 |
South Africa |
Statistics South Africa |
2000-13 |
2 |
← 1. EU23 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and the United Kingdom. Due to break in series generated by the change in SNA classification, the Secretariat made estimates for Belgium (2000-08), Germany (2000-09), Italy (2000-10) and Netherlands (2000-09) based on previous data releases from Eurostat. |
|||
← 2. Chile: to allow comparison across time, from 1995 to 2010 Tarapacá includes Arica Y Parinacota, and Los Lagos includes Los Rios. Data are not available in two regions. |
|||
← 3. Available years at metropolitan level: Austria, Germany, Estonia, Spain, Finland, France, Hungary, Ireland, Italy, Poland and Sweden 2000-12; Switzerland and Norway 2008-12; Japan 2001-12; United States 2001-13, Mexico 2003-13; Belgium, Czech Republic, Denmark, Greece, Netherlands, Portugal, Slovenia, Slovak Republic, United Kingdom, Korea, Canada, Chile, Australia 2000-13. GDP estimates at metropolitan areas level were based on TL3 data with the exception of Germany where the NOG were used; Australia, Belgium, Canada, Chile, Greece, Mexico and the Netherlands where TL2 data were used. Metropolitan figures for the United States were provided by the U.S. Bureau of Economic Analysis. The methodology to estimate GDP figures at metropolitan level is described in Annex C. |
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← 4. Iceland and Israel: Data not available at the regional level. |
|||
← 5. Available years at TL3 level: Austria, Estonia, Finland, France, Germany, Hungary, Ireland, Italy, Poland, Spain, Sweden 2000-12; Japan 2001-12; Lithuania 2005 12; Norway and Switzerland and Norway 2008-12. |
Homicides (cont.)
|
|||
---|---|---|---|
Source |
Years |
Territorial Level |
|
Australia |
Australian Bureau of Statistics (ABS), Recorded Crime – Victims, Australia, 2013 (cat. no. 4510.0) |
2013 |
2 |
Austria |
Austria Home Office, Crime Statistics |
2013 |
2 |
Belgium |
Belgian Federal Police |
2013 |
2 |
Canada |
Statistics Canada. CANSIM database Table 253-0001 – Homicide Survey, Canadian Centre for Justice Statistics |
2012 |
2 |
Chile1 |
INE, Chile. Undersecretariat of Crime Prevention, Ministry of Interior and Public Safety |
2012 |
2 |
Czech Republic |
Czech Statistical Office; Police of the Czech Republic |
2013 |
2 |
Denmark2 |
Statistics Denmark, StatBank Table STRAF11: Reported criminal offences, Homicide series |
2013 |
2 |
Finland |
Statistics Finland, Justice statistics |
2013 |
2 |
France |
INSEE, Etat 4001 annuel, DCPJ |
2012 |
2 |
Estonia3 |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2013 |
3 |
Germany |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2010 |
2 |
Greece |
Hellenic Statistical Authority, Hellenic Police (offences committed)/completed and attempted action |
2013 |
2 |
Hungary |
Ministry of Justice, Chief Prosecutor's Department |
2013 |
2 |
Iceland |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2012 |
2 |
Ireland |
CSO, StatBank Ireland, Table CJQ02: Recorded Crime Offences by Garda Region |
2013 |
2 |
Israel9 |
Central Bureau of Statistics Israel |
2013 |
2 |
Italy4 |
ISTAT, crimes reported by the police forces to the judicial authority |
2013 |
2 |
Japan |
Criminal Statistics in 2014, National Police Agency, Publications of the Police Policy Research Center |
2014 |
2 |
Korea |
Korean Ministry of Justice |
2013 |
2 |
Mexico5 |
Directorate General of Government of Mexico, Public Safety and Justice Statistics |
2014 |
2 |
Netherlands |
Statistics Netherlands (CBS)-STATLINE |
2012 |
2 |
New Zealand |
Statistics New Zealand, Annual Recorded Offences for the latest Calendar Years (ANZSOC) |
2014 |
2 |
Norway |
Directorate of the Police of Norway (homicides) and Statistics Norway (crime against property) |
2013 |
2 |
Poland6 |
National Police Headquarters |
2011 |
2 |
Portugal7 |
Ministry of Justice – Directorate-General for Justice Policy |
2013 |
2 |
Slovak Republic |
Statistical Office of the Slovak Republic, regional database Datacube |
2013 |
2 |
Slovenia |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2012 |
2 |
Spain |
INE |
2013 |
2 |
Sweden |
Swedish National Council for Crime Prevention (Brå) |
2013 |
2 |
Switzerland8 |
Federal Statistical Office (FSO), Police crime statistics |
2013 |
2 |
Turkey |
General Directorate of Security, General Commandership of Gendarme |
2013 |
2 |
United Kingdom |
ONS, Crime and Justice, Table 04, Police Force Area Data Tables – Crime in England and Wales, Year Ending December 2013 |
2013 |
2 |
United States |
Federal Bureau of Investigation, Crime in the United States, Table 4 |
2013 |
2 |
← 1. Figures are people who have been the victim of murder. Data based on crimes known by one police force (Carabineros de Chile). |
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← 2. Reported criminal offences. |
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← 3. In some cases the distribution of indicators by regions is unknown. Therefore the sums of regions are not always equal with the total for Estonia. |
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← 4. In a few cases, when it's hard to identify the exact place where a crime is committed, the sum of provincial data doesn't equal the regional total data (the latter including more crimes). |
|||
← 5. National Census 2012 State Law Enforcement. As part of the implementation of the National Census of Law Enforcement 2011 and 2012, the figure provided for 2010 and 2011 corresponds to the data of the relevant offenses, registered preliminary enquiries initiated by the Public Prosecutor of the Common Jurisdiction in each of the federal states. |
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← 6. Data have been revised. They include ascertained crimes from the category of homicide and infanticide in any form. |
|||
← 7. Murders account for surveys of the judicial police coming out with proposed charges for the crime of murder consummated. |
|||
← 8. From 2009, police statistics on crime have been revised and are thus not comparable to the old police statistics; this translates into a break in series between 2008 and 2009. |
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← 9. The police districts are different from CBS districts, Northern district data Includes Haifa District. Some files are not included in the districts data when they are managed at the national level. Homicides data includes acts of terrorism. |
Hospital beds
|
|||
---|---|---|---|
Source |
Year |
Territorial Level |
|
EU23 countries1 |
Eurostat, available beds in hospitals (tgs00064) |
2013 |
2 |
Australia2 |
Australian Institute of Health and Welfare (AIHW), for Public Hospitals, Table 4.1. ABS; for Private Hospitals cat. no. 4390.0) |
2012 |
2 |
Canada |
Canadian MIS Database (CMDB), CIHI |
2010 |
2 |
Chile |
INE, Chile. Department of Health Statistics and Information (DEIS), Ministry of health (MINSAL) |
2009 |
2 |
Iceland |
n.a. |
- |
- |
Israel |
Central Bureau of Statistics Israel, Ministry of Health of Israel |
2012 |
2 |
Japan |
Statistics Bureau, Survey of Medical Institutions, MHLW Japan |
2010 |
2 |
Korea |
n.a. |
- |
- |
Mexico |
Statistics Private Health Establishments. INEGI. Bulletin of Statistical Information. Secretariat for Health (SS) |
2011 |
2 |
New Zealand |
n.a. |
- |
- |
Norway |
Eurostat, available beds in hospitals (tgs00064) |
2013 |
2 |
Switzerland |
Federal Statistical Office (FSO), Neuchâtel; Swiss Medical Association (FMH), Bern; Medical Statistics of Physicians, yearly census |
2013 |
2 |
Turkey3 |
Ministry of Health, General Directorate of Health Research, Health Statistics Yearbook |
2013 |
2 |
United States4 |
US Center for Disease Control and Prevention |
2009 |
2 |
← 1. EU23 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and the United Kingdom 2012 data for Italy and Sweden 2011 data for Greece 2010 for Belgium and Luxembourg and Netherlands 2002 data. |
|||
← 2. Australia: average available beds count from public hospital and private hospital. Private Hospital includes both private acute and/or psychiatric hospitals and free-standing day hospital facilities. Available beds are those immediately available (occupied and unoccupied) for the care of admitted patients as required. In the case of free-standing day hospital facilities, they include chairs, trolleys, recliners and cots and are used mainly for post-surgery recovery purposes only. |
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← 3. Turkey Health statistics have been revised for 2000 and onwards. Ministry of Defence Hospitals were not included before 2012. |
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← 4. United States data only refers to community hospitals. Community hospitals are non-federal short-term general and special hospitals whose facilities and services are available to the public. |
Household disposable income
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
EU21 countries1 |
Eurostat, Household income statistics, primary and disposable income |
1995-13 |
2 |
Australia |
Australian Bureau of Statistics, Australian National Accounts, Household Income Account (cat. no. 5220.0 table 12). Gross disposable income series |
1995-13 |
2 and metropolitan areas |
Austria |
Statistics Austria |
2012 |
Metropolitan areas |
Belgium |
Statistics Belgium |
2013 |
Metropolitan areas |
Canada |
Statistics Canada. CANSIM database. Table 384-0040 – Current accounts – Households, provincial and territorial |
1995-13 |
2 and metropolitan areas |
Chile3 |
National Socio-economic Survey (CASEN), |
1996-12 |
2 and metropolitan areas |
Denmark |
Statistics Denmark |
2013 |
Metropolitan areas |
Estonia |
Statistics Estonia |
2014 |
Metropolitan areas |
Finland |
Statistics Finland |
2014 |
Metropolitan areas |
France |
Insee |
2011 |
Metropolitan areas |
Hungary |
Hungarian Ministry for National Economy |
2013 |
Metropolitan areas |
Iceland2 |
n.a. |
- |
- |
Israel |
Central Bureau of Statistics- Income Survey |
1996-11 |
2 |
Italy |
Ministry of Economy and Finance |
2013 |
Metropolitan areas |
Japan3 |
Statistics Bureau of Japan Ministry of Internal Affairs and Communications |
2001-12 2013 |
2 and Metropolitan areas |
Korea |
Statistics Korea, KOSIS database – Korean Regional Accounts |
2010-13 |
2 |
Mexico2 |
INEGI, Household Income and Expenditure National Survey Socioeconomic Conditions Module (MCS) |
2008-14 |
2 and metropolitan areas |
Netherlands |
Statistics Netherlands |
2013 |
Metropolitan areas |
New Zealand3 |
Statistics New Zealand. Household income by region |
1998-13 |
2 |
Norway |
Statistics Norway, Regional Accounts. Table: 09797: Households' income |
2011-13 |
2 and metropolitan areas |
Sweden |
Statistics Sweden |
2013 |
Metropolitan areas |
Switzerland2 |
n.a. |
- |
- |
Turkey2 |
Turkish Statistical Institue (TurkStat) |
2014 |
2 |
United Kingdom |
Office for National Statistics |
2012 |
Metropolitan areas |
United States |
U.S. Bureau of Economic Analysis, Table SA51 Disposable Personal Income American Community Survey |
1995-14 2014 |
2 and Metropolitan areas |
The disposable income of private households is derived from the balance of primary income by adding all current transfers from the government, except social transfers in kind and subtracting current transfers from the households such as income taxes, regular taxes on wealth, regular inter-household cash transfers and social contributions. |
|||
The disposable income of households does not take into account social transfer in kind to households. A preferable measure of material condition of households at regional level could be the adjusted disposable income which additionally reallocates income from government and non-profit institutions serving the households, through expenditure on individual goods and services such as health, education and social housing (in-kind expenditure). Interregional disparities of adjusted household income could shed a light on possible areas of social exclusion, material deprivation and lack of access to essential services. |
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← 1. EU21 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and the United Kingdom. Denmark, Austria: 2000-13; Slovenia: 1999-2012; Belgium, France, Netherlands and Spain: 1995-2011; Finland, Hungary and Sweden: 2000-12; Ireland: 1996-2012; Germany and Italy: 1995-2012; Poland: 2010-12; Portugal: 2000-11; United Kingdom: 1997-2013; Estonia: 2008-13; Slovak Republic: 1996-2012. |
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← 2. Iceland and Switzerland: data are not available at the regional level. |
|||
← 3. Chile, Greece, Japan and New Zealand: primary income of households are not available at the regional level. |
Households with broadband connection
|
|||
---|---|---|---|
Source |
Year |
Territorial Level |
|
EU14 countries1 |
Eurostat, Regional information society statistics, Households with broadband access, table isoc_r_broad_h |
2014 |
2 |
Australia |
Australian Bureau of Statistics (ABS), Household Use of Information Technology, Australia, 2012-13 (cat. no. 8146.0), Financial year |
2013 |
2 |
Belgium |
Statistics Belgium, ICT indicators for households and individuals (2005-13) |
2014 |
2 |
Canada |
Statistics Canada, CANSIM (database), Table 203 00272 Survey of household spending (SHS) |
2012 |
2 |
Chile |
INE, Chile, National Statistical Institute |
2012 |
2 |
Czech Republic |
Czech Statistical Office CZSO, Information technology survey |
2014 |
2 |
Hungary |
HCSO, Hungarian Central Statistical Office |
2014 |
2 |
Iceland |
Statistics Iceland. Internet connections and access devices in households 2003-12, broadband connection |
2012 |
2 |
Israel |
Central Bureau of Statistics Israel, Household expenditure survey, Table 16 |
2013 |
2 |
Japan |
Statistics Bureau, Ministry of Internal Affairs and Communications, Japan |
2011 |
2 |
Korea |
Korean Ministry of Science, ICT and Future Planning – Survey on the Internet Usage (MSIP, KISA) |
2014 |
2 |
Mexico |
INEGI-Módulo, Availability and Use of Information Technologies in Households (MODUTIH) |
2014 |
2 |
New Zealand |
Statistics New Zealand: The household Use of Information and Communication Technology (ICT) Survey |
2012 |
2 |
Poland |
Central Statistical Office of Poland |
2014 |
2 |
Portugal |
Statistics Portugal (INE), Survey on Information and Communication Technologies Usage in Private Households |
2014 |
2 |
Slovak Republic |
Statistical Office of the SR, ICT usage in households and by individuals |
2014 |
2 |
Spain |
INE |
2014 |
2 |
Switzerland |
Federal Statistical Office of Switzerland (FSO). 2006-11 : Enquête sur le budget des ménages (EBM) Société de l'information – Internet haut débit – Indicateur 30107 ; 2014 Omnibus TIC |
2014 |
2 |
Turkey |
Eurostat, Regional information society statistics, Households with broadband access, table isoc_r_broad_h |
2013 |
2 |
United States |
Census Bureau, American Community Survey (ACS), 1-year estimates, table S1501 |
2011 |
2 |
← 1. EU14 refers to Austria, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Norway, Slovenia, Sweden, United Kingdom. |
Housing expenditures as a share of household disposable income
|
|||
---|---|---|---|
Source |
Year |
Territorial level |
|
Australia |
Australia Bureau Statisitics; Table 4130.0 |
2011 |
2 |
Austria |
Statistics Austria, EU-SILC |
2013 |
2 |
Belgium |
Household Budget Survey |
2012 |
2 |
Canada |
Statistics Canada; CANSIM, Table 203-0022 |
2012 |
2 |
Chile1 |
n.a. |
- |
- |
Czech Republic1 |
n.a. |
- |
- |
Denmark |
Statistics Denmark; Household Budget Survey, Table FU5 |
2012 |
2 |
Finland |
Statistics Finland; Table 140_ktutk_tau_104 |
2012 |
2 |
France1 |
n.a. |
- |
- |
Germany1 |
n.a. |
- |
- |
Greece1 |
n.a. |
- |
- |
Hungary |
Hungarian Central Statistical Office |
2013 |
2 |
Iceland1 |
n.a. |
- |
- |
Ireland |
Household Budget Survey |
2010 |
2 |
Israel |
Central Bureau of Statistics Israel |
2013 |
2 |
Italy |
OECD estimates based on ISTAT – Household Budget Survey |
2013 |
2 |
Japan |
OECD estimates based on Monthly spending on housing data, Table 11 |
2013 |
2 |
Korea1 |
n.a. |
- |
- |
Mexico1 |
n.a. |
- |
- |
Netherlands1 |
n.a. |
- |
- |
New Zealand |
Statistics New Zealand |
2013 |
North/South Islands |
Norway |
OECD estimates based on Statistics Norway – Survey on Consumer Expenditure |
2012 |
2 |
Poland |
Household Budget Survey |
2013 |
2 |
Portugal |
Statistics Portugal, Household Budget Survey |
2011 |
2 |
Slovak Republic |
Statistical Office of the SR, Household Budget Survey |
2012 |
2 |
Slovenia1 |
n.a. |
- |
- |
Spain |
OECD estimates based on INE - Household Budget Survey; Table-10722 |
2011 |
2 |
Sweden1 |
n.a. |
- |
- |
Switzerland |
Household Budget Survey 2009-11 (3-year-pooled sample) |
2010 |
2 |
Turkey |
Household Budget Survey |
2013 |
2 |
United Kingdom |
Office for National Statistics; Table A35 |
2012 |
2 |
United States1 |
n.a. |
- |
- |
← 1. Chile, Czech Republic, France, Germany, Greece, Iceland, Korea, Mexico, Netherlands, Slovenia, Sweden and United States: data not available at the regional level. |
Individuals with unmet medical needs
|
|||
---|---|---|---|
Source |
Year |
Territorial Level |
|
EU9 countries1 |
European Survey on Income and Living Conditions (EU-SILC) |
2013 |
2 |
Chile |
Ministry of Social Development, Government of Chile, Encuesta de Caracterización Socioeconómica Nacional (Casen) |
2013 |
2 |
Mexico |
Instituto Nacional de Salud Pública (INSP), Encuesta Nacional de Salud y Nutrición (ENSANUT) |
2013 |
2 |
New Zealand |
Ministry of Health, New Zealand Health Survey |
2013 |
2 |
Turkey |
European Survey on Income and Living Conditions (EU-SILC) |
2013 |
2 |
← 1. EU9 refers to Austria, Czech Republic, Estonia, Finland, France, Greece, Italy, Spain and the United Kingdom. |
Labour force, employment at place of residence by gender, unemployment (total and growth) (cont.)
|
|||
---|---|---|---|
Source |
Year |
Territorial level |
|
Australia5 |
Australian Bureau of Statistics; Table 6291.0.55.001 |
2001-14 |
2, 3 and metropolitan areas |
Statistics Austria, Labour Force Statistics Survey |
2000-13 |
2, 3 and metropolitan areas |
|
Eurostat, Labour Force |
2000-14 |
2 and metropolitan areas |
|
Statistics Canada; CANSIM, Table 282-0002 |
2001-14 |
2, NOG and metropolitan areas |
|
INE, New National Employment Survey |
2000-14 |
2 and metropolitan areas |
|
Czech Statistical Office, Labour Force Survey |
2000-13 |
2, 3 and metropolitan areas |
|
Denmark5 |
Statistics Denmark; Table RASA1 |
2000-14 |
2, 3 and metropolitan areas |
Estonia5 |
Statistics Estonia; Table ML243 (employment), Table ML4645 (labour force) and Table ML50 (unemployment) |
2000-14 |
3 and metropolitan areas |
Finland5 |
Statistics Finland |
2000-14 |
2, 3 and metropolitan areas |
Eurostat, Labour Force statistics for TL2 and Insee for TL3 |
2000-14 |
2, 3 and metropolitan areas |
|
Federal Employment Agency |
2001-14 |
2, NOG and metropolitan areas |
|
Hellenic Statistical Authority, Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
|
Hungary5 |
Hungarian Central Statistical Office, Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
Iceland1 |
Statistics Iceland |
2000-14 |
2 |
Ireland |
Eurostat, Labour Force statistics for Labour force and employment; CSO Table QNQ22 for unemployment |
2000-14 |
2 and 3 |
Central Bureau of Statistics Israel |
2000-14 |
2 |
|
Italy5 |
ISTAT, Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
Japan5 |
Statistics Bureau of Japan, Labour Force Survey |
2001-14 |
2, 3 and metropolitan areas |
Korea5 |
Statistics Korea, Economically Active Population Survey & Local Area Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
Luxembourg |
Eurostat, Labour Force |
2000-13 |
2 |
INEGI, National Survey of Occupation and Employment |
2000-14 |
2 and metropolitan areas |
|
Eurostat, Labour Force |
2000-14 |
2, 3 and metropolitan areas |
|
Statistics New Zealand, Household Labour Force Survey |
2000-14 |
2 and 3 |
|
Statistics Norway |
2000-14 |
2, 3 and metropolitan areas |
|
Central Statistical Office of Poland, Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
|
Statistics Portugal, Labour Force Survey |
2000-14 |
2 and metropolitan areas |
|
Slovak Republic5 |
Statistical Office of the SR, Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
Eurostat, Labour Force |
2001-14 |
2, 3 and metropolitan areas |
|
Spain5 |
INE, Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
Sweden5 |
Statistics Sweden, Labour Force Survey |
2000-14 |
2, 3 and metropolitan areas |
Federal Statistical Office of Switzerland, Structural Labour Force Survey |
2000-14 |
2 and metropolitan areas |
|
Turkey1 |
TURKSTAT, Household Labour Force Survey Revised Results |
2000-14 |
2 |
United Kingdom5 |
Office for National Statistics |
2000-14 |
2, 3 and metropolitan areas |
United States5 |
U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics program |
2000-14 |
2, 3 and metropolitan areas |
Brazil |
IBGE, National Survey by Household Sampling |
2004-13 |
2 |
Colombia |
DANE, Great integrated Household Survey |
2001-12 |
2 |
Latvia2 |
Eurostat, Labour Force Statistics |
2000-14 |
3 |
Lithuania2 |
Eurostat, Labour Force Statistics |
2000-14 |
3 |
Peru |
National Institute of Statistics and Informatics, National Household Survey |
2001-14 |
2 |
Russian Federation |
Federal State Statistics Service, Labour force Survey |
2000-14 |
2 |
South Africa |
Statistics South Africa; Quarterly Labour Force Survey, Table P0211 |
2000-14 |
2 |
← 1. Belgium, Canada, Chile, Iceland, Israel, Mexico, Norway, Portugal, Switzerland and Turkey: data not available at the territorial level 3. |
|||
← 2. Labour market statistics by urban-rural typology (urt_lmk) for unemployment at TL3 |
|||
← 3. Israel: Data not available at the regional level. |
|||
← 4. New Zealand: Gisborne/Hawke's Bay combined (NZ016 included in NZ015), Tasman/Nelson/Marlborough/West Cost combined (NZ022 included in NZ021). |
|||
← 5. Available years at metropolitan level: Australia, Austria and the Czech Republic 2000-13; Slovenia 2001-11; Germany 2001-14; Denmark 2007-14; Switzerland 2007-13; Belgium, Estonia, Spain, Finland, France, Greece, Hungary, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Sweden, Slovak Republic, United Kingdom, Mexico, Korea, Japan, Canada, United States and Chile 2000-14. Metropolitan labour figures are estimates based on labour data at TL3 level except for Belgium, Chile, Greece, Mexico, Netherlands, Poland and Portugal were TL2 data are used and NOG for Canada and Germany. Australia and United States figures are provided by the Australian Bureau of Statistics and the U.S. Bureau of Labour Statistics respectively. The methodology to estimate labour figures at metropolitan level is described in Annex C. |
|||
← 6. Regional values derived from the Labour Force Survey in France should be taken with caution due to the relatively small sample size. |
Labour force by educational attainment
|
|||
---|---|---|---|
Source |
Year |
Territorial Level |
|
Eurostat, Labour Force Survey, Regional education statistics |
2000-14 |
2 |
|
Australia2 |
Australian Bureaus of Statistics, Table 6227.0 Education and Work, LFS |
2010-14 |
2 |
Canada3 |
Statistics Canada. CANSIM (database), Table 282-0004 – Labour force survey estimates (LFS), by educational attainment, gender and age group, annual |
2000-13 |
2 |
Chile4 |
INE Chile, New National Employment Survey |
2010-14 |
2 |
Estonia1 |
Statistics Estonia, Labour Force by county and educational level (ML123) |
2000-13 |
3 |
Iceland7 |
Statistics Iceland Labour force survey. Educational attainment of the population 25-64 year old, 2003-12 |
2003-12 |
2 |
Israel |
Central Bureau of Statistics Israel |
2000-13 |
2 |
Japan7 |
Statistics Bureau, 1990, 2000 and 2010 Population Census |
2000-10 |
2 |
Korea2 |
KOSIS, Economically Active Population Survey |
2000-14 |
2 |
Mexico4 |
INEGI, National Population and Housing Censuses |
2000-10 |
2 |
New Zealand |
Statistics New Zealand. Household Labour Force Survey |
2000-12 |
2 |
Turkey5 |
TURKSTAT, Household Labour Force Survey Revised Results |
2006-14 |
2 |
United States6 |
Census Bureau, American Community Survey (ACS), 1-year estimates, table S1501 |
2000-13 |
2 |
Brazil7 |
IBGE, Pesquisa Nacional por Amostra de Domicílios – PNAD |
2004-13 |
2 |
Colombia |
DANE, Great integrated household survey (GEIH for its acronym in Spanish) |
2005-14 |
2 |
Russian Federation |
Federal State Statistics Service (Rosstat), Labour force Survey, population in age 15-72 years old |
2000-14 |
2 |
← 1. EU20 refers to Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, Netherlands, Poland, Portugal, Slovenia, Slovak Republic, Spain, Sweden, United Kingdom (except Northern Ireland). Data refer to the labour force aged 15 and over. |
|||
← 2. Australia and Korea: Data refer to total labour force. |
|||
← 3. Canada: Data refer to the labour force aged 15 and over. |
|||
← 4. Chile and Mexico: Data refer to the population aged 15 and over. |
|||
← 5. Turkey: Illiterate people are included in the ISCED 0-2. |
|||
← 6. United States: Data refer to the population aged 18 and over. |
|||
← 7. Total labour force educational attainment includes persons not classified by level of education. |
|||
← 8. First year available: Slovenia and Switzerland 2001; Finland 2005; Denmark 2007. |
|||
← 9. Last year available: Estonia 2013. |
Life expectancy at birth, total and by gender
|
|||
---|---|---|---|
Source |
Year |
Territorial level |
|
EU91 |
Eurostat, Regional Demographic Statistics |
2013 |
2 |
Australia |
Australian Bureau of Statistics; Table 3302.0 |
2013 |
2 |
Austria |
Statistics Austria |
2013 |
2 |
Canada2 |
Statistics Canada; CANSIM, Table 102-0512 |
2011 |
2 |
Chile |
INE/OECD estimates |
2012 |
2 |
Czech Republic |
Czech Statistical Office |
2013 |
2 |
Denmark |
Statistics Denmark; Table HISBR |
2013 |
2 |
Estonia |
Statistics Estonia; Table PO0452 |
2013 |
3 |
Finland |
Statistics Finland |
2013 |
2 |
Germany |
Federal Office of Germany and the Statistical Offices of the Federal States |
2013 |
2 |
Greece |
Hellenic Statistical Authority |
2013 |
2 |
Hungary |
Hungarian Central Statistical Office |
2013 |
2 |
Iceland3 |
n.a. |
- |
- |
Israel |
Central Bureau of Statistics |
2013 |
2 |
Italy |
Istat; Table P.5 |
2013 |
2 |
Japan4 |
Statistics Bureau of Japan, MIC |
2010 |
2 |
Korea |
OECD estimates based on provincial population weighted average |
2013 |
2 |
Mexico5 |
National Institute of Statistics and Geography (INEGI) |
2013 |
2 |
New Zealand6 |
Statistics New Zealand |
2013 |
2 |
Poland |
Central Statistical Office of Poland |
2013 |
2 |
Portugal |
Statistics Portugal |
2013 |
2 |
Slovak Republic |
Statistical Office of the SR |
2013 |
2 |
Spain |
INE |
2013 |
2 |
Turkey |
Eurostat, Regional Demographic Statistics |
2013 |
2 |
United States7 |
Measure of America |
2010 |
2 |
Colombia |
DANE |
2013 |
2 |
Peru |
National Institute of Statistics and Informatics |
2013 |
2 |
Russian Federation |
Federal State Statistics Service |
2013 |
2 |
← 1. EU9 refers to Belgium, France, Ireland, Netherlands, Norway, Slovenia, Sweden, Switzerland and United Kingdom (except Northern Ireland). |
|||
← 2. Canada: Rates used in this table for the calculation of life expectancy are calculated with data that exclude: births to mothers not resident in Canada, births to mothers resident in Canada, province or territory of residence unknown, deaths of non-residents of Canada, deaths of residents of Canada whose province or territory of residence was unknown and deaths for which age or gender of decedent was unknown. Rates used in this table for the calculation of life expectancy are based on data tabulated by place of residence. Life expectancy for the Yukon, the Northwest Territories and Nunavut should be interpreted with caution due to small underlying counts. |
|||
← 3. Iceland: Data not available at the regional level. |
|||
← 4. Japan: TL2 data computed as the average value of TL3 regions. |
|||
← 5. Mexico: 2011-13: CONAPO. Population forecast 2010-50, www.conapo.gob.mx. |
|||
← 6. New Zealand: Life expectancy data presented for each year is based on registered deaths in the three years centred on that year. New Zealand life expectancy from abridged life tables. This may differ to data from complete life tables. |
|||
← 7. United States: 2010 data source is Measure of America calculations using mortality counts from the Centers for Disease Control and Prevention, National Center for Health Statistics. Mortality – All County Micro-Data File, as compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. Population counts are from the CDC WONDER Database. |
Life satisfaction
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
Gallup World Poll www.gallup.com/services/170945/world-poll.aspx. |
|||
Average 2006-14 |
TL2 |
||
← 1. Life satisfaction is expressed as the mean score on an 11-point scale (based on the Cantril ladder measure). It is measured using a survey question in which respondents are asked “Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time?”. |
|||
← 2. Regional estimates are derived by micro-data pooling the yearly surveys 2006-14. TL3 regions for Estonia. Estimates are not available for the following regions: Northwest Territories, Nunavut, Yukon (Canada); Helsinki-Usimaa, Aland (Finland). |
Local governments in metropolitan areas
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
Australia |
Australian Bureau of Statistics , Local Government Areas (LGA) |
2011 |
Metropolitan areas |
Austria |
Eurostat, Gemeinden (LAU2) |
2011 |
Metropolitan areas |
Belgium |
Eurostat, Gemeenten/Communes (LAU2) |
2011 |
Metropolitan areas |
Canada |
Statistics Canada (Statcan), Census Subdivisions (towns, villages, etc) (CSD) |
2006 |
Metropolitan areas |
Chile |
Instituto Nacional de Estadísticas (INE) Chile, Comunas |
2002 |
Metropolitan areas |
Czech Republic |
Eurostat, Obce (LAU2) |
2011 |
Metropolitan areas |
Denmark |
Eurostat, Kommuner (LAU1) |
2011 |
Metropolitan areas |
Estonia |
Eurostat, Vald, linn (LAU2) |
2011 |
Metropolitan areas |
Finland |
Eurostat, Kunnat/Kommuner (LAU2) |
2011 |
Metropolitan areas |
France |
Eurostat, Communes (LAU2) |
2011 |
Metropolitan areas |
Germany |
Eurostat, Gemeinden (LAU2) |
2011 |
Metropolitan areas |
Greece |
Eurostat, Demotiko diamerisma/Koinotiko dimerisma (LAU2) |
2011 |
Metropolitan areas |
Hungary |
Eurostat, Települések (LAU2) |
2011 |
Metropolitan areas |
Iceland1 |
n.a. |
- |
- |
Ireland |
Eurostat, Local governments (LAU1) |
2011 |
Metropolitan areas |
Israel1 |
n.a. |
- |
- |
Italy |
Eurostat, Comuni (LAU2) |
2011 |
Metropolitan areas |
Japan |
National Land Numerical Information Service of Japan, Shi (city), Machi or Cho (town) and Mura or Son (village) |
2006 |
Metropolitan areas |
Korea |
Korea Statistical Information Service (KOSIS), Si (city), Gun (county), Gu (district) |
2014 |
Metropolitan areas |
Luxemburg |
EUROSTAT, Communes (LAU2) |
2011 |
Metropolitan areas |
Mexico |
Instituto Naconal de Estadística y Geografía (INEGI), Municipios |
2011 |
Metropolitan areas |
Netherlands |
Eurostat, Gemeenten (LAU2) |
2011 |
Metropolitan areas |
New Zealand1 |
n.a. |
- |
- |
Norway |
Eurostat, Municipalities (LAU2) |
2011 |
Metropolitan areas |
Poland |
Eurostat, Gminy (LAU2) |
2011 |
Metropolitan areas |
Portugal |
Eurostat, Freguesias (LAU2) |
2011 |
Metropolitan areas |
Slovak Republic |
Eurostat, OBCE (LAU2) |
2011 |
Metropolitan areas |
Slovenia |
Eurostat, Obèine (LAU2) |
2011 |
Metropolitan areas |
Spain |
Eurostat, Municipios (LAU2) |
2011 |
Metropolitan areas |
Sweden |
Eurostat, Kommuner (LAU2) |
2011 |
Metropolitan areas |
Switzerland |
Eurostat, Municipalities (LAU2) |
2011 |
Metropolitan areas |
Turkey1 |
n.a. |
- |
- |
United Kingdom |
UK Office for National Statistics, Country Councils. |
2001 |
Metropolitan areas |
United States |
U.S. Census Bureau (2002) Census of Governments, Municipalities or Townships |
2000 |
Metropolitan areas |
← 1. The functional urban areas, and by extension the metropolitan areas, have not been identified in Iceland, Israel, New Zealand and Turkey. |
Metropolitan population: Total, by age
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
Australia |
Australian Bureau of Statistics |
2001-11 |
Metropolitan areas |
Austria |
Statistics Austria |
2001-11 |
Metropolitan areas |
Belgium |
Statistics Belgium |
2001-11 |
Metropolitan areas |
Canada |
Statistics Canada, Census Canada |
2000-11 |
Metropolitan areas |
Chile |
INE Chile |
2002-10 |
Metropolitan areas |
Czech Republic |
Czech Statistical Office |
2001-10 |
Metropolitan areas |
Denmark |
Statistics Denmark |
2001-11 |
Metropolitan areas |
Estonia |
Statistics Estonia, Population database |
2000-11 |
Metropolitan areas |
Finland |
Statistics Finland |
2000-12 |
Metropolitan areas |
France |
INSEE, Demographic Census |
1999-09 |
Metropolitan areas |
Germany |
Regionaldatenbank Deutschland |
2001-10 |
Metropolitan areas |
Greece |
National Statistical Service of Greece |
2001-11 |
Metropolitan areas |
Hungary |
Hungarian Central Statistical Office |
2001-11 |
Metropolitan areas |
Iceland1 |
n.a. |
- |
- |
Ireland |
Central Statistics Office of Ireland |
2002-11 |
Metropolitan areas |
Israel1 |
n.a. |
- |
- |
Italy |
ISTAT, Demography in Figures |
2001-11 |
Metropolitan areas |
Japan |
Statistical Office, Population and Households data |
2000-10 |
Metropolitan areas |
Korea |
Korea National Statistical Office |
2000-10 |
Metropolitan areas |
Luxemburg |
STATEC – Statistical Portal |
2001-12 |
Metropolitan areas |
Mexico |
INEGI, Demographic Census |
2000-10 |
Metropolitan areas |
Netherlands |
Statistics Netherlands |
2001-10 |
Metropolitan areas |
New Zealand1 |
n.a. |
- |
- |
Norway |
Statistics Norway |
2001-11 |
Metropolitan areas |
Poland |
Central Statistical Office of Poland |
2002-10 |
Metropolitan areas |
Portugal |
INE, Demographic Census |
2001-11 |
Metropolitan areas |
Slovak Republic |
Statistical Office of the Slovak Republic |
2001-10 |
Metropolitan areas |
Slovenia |
Statistical Office of the Republic of Slovenia |
2002-10 |
Metropolitan areas |
Spain |
INE, Demographic Census |
2001-10 |
Metropolitan areas |
Sweden |
Statistics Sweden |
2000-10 |
Metropolitan areas |
Switzerland |
Swiss Federal Statistics Office |
2000-10 |
Metropolitan areas |
Turkey1 |
n.a. |
- |
- |
United Kingdom |
Office for National Statistics |
2001-10 |
Metropolitan areas |
United States |
U.S. Census Bureau |
2000-10 |
Metropolitan areas |
← 1. The functional urban areas, and by extension the metropolitan areas, have not been identified in Iceland, Israel, New Zealand and Turkey. |
Motor vehicle theft
|
|||
---|---|---|---|
Source |
Year |
Territorial Level |
|
Australia |
Australian Bureau of Statistics (ABS), Recorded Crime Victims, Australia, 2013 (cat. no. 4510.0) |
2013 |
2 |
Austria |
Statistics Austria, Crime Statistics |
2013 |
2 |
Belgium |
Belgian Federal Police |
2013 |
2 |
Canada1 |
Statistics Canada. CANSIM database, Table 252-0051 |
2011 |
2 |
Chile2 |
INE, Chile. Undersecretariat of Crime Prevention, Ministry of Interior and Public Safety |
2013 |
2 |
Czech Republic |
Czech Statistical Office CZSO, Police of the Czech Republic |
2013 |
2 |
Germany8 |
n.a. |
- |
- |
Denmark |
Statistics Denmark, StatBank Table STRAF11 |
2013 |
2 |
Estonia8 |
n.a. |
- |
- |
Finland |
Statistics Finland, Justice statistics |
2013 |
2 |
France3 |
INSEE, Etat 4001 annuel, DCPJ |
2012 |
2 |
Greece8 |
n.a. |
- |
- |
Hungary |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2013 |
2 |
Ireland |
CSO, StatBank Ireland. Table CJQ02 |
2011 |
2 |
Iceland8 |
n.a. |
- |
- |
Israel |
Central Bureau of Statistics Israel |
2013 |
2 |
Italy |
National Statistical Institute, ISTAT |
2013 |
2 |
Japan |
National Police Agency. Publications of the Police Policy Research Center: Crime in Japan in 2014 |
2014 |
2 |
Korea8 |
n.a. |
- |
- |
Luxembourg8 |
n.a. |
- |
- |
Mexico4 |
National Statistical Institute, INEGI |
2011 |
2 |
New Zealand5 |
New Zealand Police |
2014 |
2 |
Netherlands8 |
n.a. |
- |
- |
Norway8 |
n.a. |
- |
- |
Poland |
National Police Headquarters |
2011 |
2 |
Portugal |
Ministry of Justice of Portugal – Directorate-General for Justice Policy, motor vehicle theft crimes recorded by the police |
2013 |
2 |
Slovak Republic6 |
Statistical Office of the Slovak Republic, regional database |
2013 |
2 |
Slovenia |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2012 |
2 |
Spain |
INE |
2013 |
2 |
Sweden |
Swedish National Council for Crime Prevention (Brå) |
2014 |
2 |
Switzerland7 |
Federal Statistical Office (FSO). Police crime statistics |
2013 |
2 |
Turkey |
General Directorate of Security, General Commandership of Gendarme |
2013 |
- |
United Kingdom8 |
n.a. |
- |
- |
United States |
Federal Bureau of Investigation, Crime in the United States. Table 4, by Region, Geographic Division and State |
2013 |
2 |
← 1. Canada: total theft of motor vehicle, actual incidents. |
|||
← 2. Chile: data based on crimes known by police (called “casos policiales” in Spanish). Do not include motor attempted theft of vehicles. |
|||
← 3. France: data includes car theft (index 35), theft of motor vehicles with two wheels (index 36) and theft of vehicles with cargo (index 34). Some motor vehicle thefts are recorded by the corresponding national institutions (such as central offices) of the police and gendarmerie. These thefts are not registered in a particular TL3 region, thus the national total does not fully correspond with the sum of the TL3 regions. |
|||
← 4. Mexico: National Census 2012 State Law Enforcement. As part of the implementation of the National Census of Law Enforcement 2011 and 2012, the figure provided for 2010 and 2011 corresponds to the data of the relevant offenses, registered preliminary inquiries initiated by the Public Prosecutor of the Common Jurisdiction in each of the federal states. |
|||
← 5. New Zealand: the number of offences police recorded for theft or unlawful taking of a motor vehicle. This includes instances where a vehicle is taken for a joy ride and later recovered, as well as instances where vehicles are taken permanently. |
|||
← 6. Slovak Republic: since 2005, data on NUTS 1 level need not to be equal to the sum of NUTS 2 level data because NUTS 1 data also includes regionally unspecified offences recorded by Railway Police, Military Police, Corps of Prison and Court Guard, and Customs Director. |
|||
← 7. Switzerland: from 2009, police statistics on crime have been revised and are thus not comparable to the old police statistics; this translates into a break in series between 2008 and 2009. |
|||
← 8. Germany, Estonia, Greece, Iceland, Korea, Luxembourg, Netherlands, Norway, and United Kingdom: data not available at the regional level. |
Municipal waste and recycled waste
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
All countries, , 3 |
OECD Regional Database Regional municipal data were provided by the individual member countries through the annual OECD regional data questionnaire |
1995-13 |
2 |
National data: OECD (2015), Environment at a Glance 2015: OECD Indicators, OECD Publishing, Paris, https://doi.org/10.1787/9789264235199-en. |
|||
1. No municipal waste data at regional level are available for Australia, Denmark, Finland, Germany, Greece, Iceland, New Zealand, Sweden, Switzerland and the United States. Last year available: Canada (2008), Mexico (2009), Ireland (2010), France and the United Kingdom (2011), Chile, Spain and Turkey 2012. |
|||
2. No municipal waste recycling data at regional level are available for Australia, Canada, Chile, Denmark, Finland, Greece, Ireland, Israel, Iceland, Mexico, New Zealand, Spain, Sweden, Switzerland, Turkey and United States. Last year available: France and United Kingdom (2011), Germany 2012. |
|||
← 3. National data: last available year: Australia and Chile 2009, Japan 2010, Austria, Greece, Ireland, Korea, Mexico and United States 2012. First year available: Australia and Israel 2000. |
Number of rooms per person
|
|||
---|---|---|---|
Source |
Year |
Territorial level |
|
Australia |
Australia Bureau Statisitics, table 4130.0 |
2011 |
2 |
Austria |
Statistics Austria, Microcensus Housing Survey |
2013 |
2 |
Belgium |
Eurostat, Regional Statistics |
2012 |
2 |
Canada |
Statistics Canada |
2011 |
2 |
Chile |
n.a. |
- |
- |
Czech Republic |
Czech Statistical Office, EU SILC |
2013 |
2 |
Denmark |
OECD Regional Questionnaire/information provided by the delegate of the Working Party on Territorial Indicators |
2014 |
2 |
Finland |
Statistics Finland, |
2012 |
2 |
France |
Insee, Population census |
2010 |
2 |
Germany |
Eurostat, Regional Statistics |
2013 |
2 |
Greece |
Hellenic Statistical Authority, Population – Housing Census |
2013 |
NUTS 1 |
Hungary |
Hungarian Central Statistical Office, Population micro-census |
2011 |
2 |
Iceland |
n.a. |
- |
- |
Ireland |
Eurostat, Regional Statistics |
2012 |
2 |
Israel |
Central Bureau of Statistics Israel |
2013 |
2 |
Italy |
ISTAT, Population and housing Census |
2011 |
2 |
Japan |
Statistics Bureau of Japan |
2013 |
2 |
Korea |
Statistics Korea, Housing Census General |
2010 |
2 |
Mexico |
National Institute of Statistics and Geography (INEGI) |
2010 |
2 |
Netherlands |
Eurostat, Regional Statistics |
2012 |
2 |
New Zealand |
Statistics New Zealand |
2013 |
2 |
Norway |
Eurostat, Regional Statistics |
2012 |
2 |
Poland |
OECD estimates based on Central Statistical Office – dwelling stock by location |
2012 |
2 |
Portugal |
Statistics Portugal, Population and housing census |
2011 |
2 |
Slovak Republic |
Statistical Office of the SR, Household Budget Survey |
2013 |
2 |
Slovenia |
Eurostat, Regional Statistics |
2013 |
2 |
Spain |
INE |
2012 |
2 |
Sweden |
Eurostat, Regional Statistics |
2012 |
2 |
Switzerland |
Federal Statistical Office, GWS |
2013 |
2 |
Turkey |
Information provided by the delegate of the Working Party on Territorial Indicators |
2012 |
2 |
United Kingdom1 |
Eurostat, Regional Statistics |
2011 |
2 |
United States |
American Community Survey |
2012 |
2 |
← 1. United Kingdom: Regional values available except for Scotland. |
Part-time employment total and by gender
|
|||
---|---|---|---|
Source |
Year |
Territorial level |
|
Eurostat, Employment by full-time/part-time, table lfst_r_lfe2eftpt |
2014 |
2 |
|
Australia |
Australian Bureau of Statistics (ABS), Labour Force, (cat. no. 6291.55.001): EM3 – Employed Person by Usual Hours Worked |
2014 |
2 |
Statistics Canada. CANSIM database, Table 282-0002 – Labour force survey estimates (LFS) |
2014 |
2 |
|
Chile |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2014 |
2 |
Iceland |
n.a. |
- |
- |
Israel3 |
Central Bureau of Statistics Israel |
2013 |
2 |
Japan |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2014 |
2 |
Korea |
n.a. |
- |
- |
Mexico |
INEGI. Encuesta Nacional de Ocupación y Empleo (ENOE) |
2014 |
2 |
New Zealand |
Statistics New Zealand |
2012 |
2 |
Norway |
Statistics Norway |
2013 |
2 |
Switzerland |
Eurostat, Employment by full-time/part-time (lfst_r_lfe2eftpt) |
2014 |
2 |
Turkey4 |
TURKSTAT, Household Labour Force Survey Revised Results |
2014 |
2 |
United States5 |
U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics program. Current Population Survey, Geographic Profile of Employment and Unemployment, table 22 |
2013 |
2 |
Brazil |
IBGE, Pesquisa Nacional por Amostra de Domicílios – PNAD |
2013 |
2 |
Colombia |
DANE – Gran Encuesta Integrada de Hogares – GEIH – (Labour Houshold survey) |
2012 |
2 |
Russian Federation |
Federal State Statistics Service (Rosstat), Labour force Survey, population in age 15-72 years old |
2014 |
2 |
The definition of part-time work varies considerably across OECD member countries. The OECD defines part-time working in terms of usual working hours fewer than 30 per week. At regional level there does not exist a harmonised definition of part-time employment. Indeed, for some countries, the number of hours defining the number of part-time employees in a region differs from the OECD definition. This makes regional values to differ from national estimates relying on a harmonised definition. However, for European TL2 regions, the distinction between full-time and part-time work is based on a spontaneous response by the respondent; except in the Netherlands, Iceland and Norway were part-time is determined if the usual hours are fewer than 35 hours. |
|||
1. EU23 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom. |
|||
← 2. Canada: Part-time employment consists of persons who usually work less than 30 hours per week at their main or only job. Estimates in thousands, rounded to the nearest hundred. |
|||
← 3. Israel: part-time employment consists of persons who usually work less than 35 hours a week. |
|||
← 4. Turkey: Total figures may not be exact due to the rounding of the numbers. Sample size is too small for reliable estimates for figures less than two thousand persons in each cell. Full time/part time distinction is made by the usual hours worked in the main job using 30 hours threshold. |
|||
← 5. United States: a part-time schedule in the U.S. is officially defined as 1–34 hours per week. To approximate the OECD definition of less than 30 hours per week, the first two categories from the persons at work by hours of work table were added up. Hence, the universe for the data below excludes persons who were not at work during the Current Population Survey reference week. (Nationally in 2013, about 3.5 per cent of employed persons were not at work in an average week). |
|||
← 6. Canada and Finland: no data on part time employment by gender. |
Perception of corruption
|
|||
---|---|---|---|
Country |
Source |
Years |
Territorial level |
Gallup World Poll www.gallup.com/services/170945/world-poll.aspx. |
Average 2006-14 |
TL2 |
|
← 1. Perception of corruption is measured using a survey question in which respondents are asked to rank from 0 to 10: “Is corruption widespread throughout the government in (this country), or not?”. |
|||
← 2. Regional estimates are derived by micro-data pooling the yearly surveys 2006-14. Estimates are TL2 except for New Zealand for which data is available only for North Island and South Island and TL3 regions for Estonia. |
|||
← 3. Further details in Brezzi, M. and M. Díaz Ramírez (2016),“Building subjective well-being indicators at the subnational level: A preliminary assessment in OECD regions”, OECD Regional Development Working Papers, No. 2016/03, OECD Publishing, Paris, https://doi.org/10.1787/5jm2hhcjftvh-en. |
PCT patents applications
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
All countries |
OECD REGPAT Database |
1995-2013 |
2 and 3 |
OECD REGPAT Database |
2012 |
Metropolitan areas |
|
← 1. The OECD REGPAT Database presents patent data that have been linked to regions according to the addresses of the applicants and inventors. For more information on the database, see: www.oecd.org/dataoecd/22/19/40794372.pdf. |
|||
← 2. A patent is generally granted by a national patent office or by a regional office that does the work for a number of countries, such as the European Patent Office and the African Regional Intellectual Property Organization. Under such regional systems, an applicant requests protection for the invention in one or more countries, and each country decides whether to offer patent protection within its borders. In this publication the patent data comes from the WIPO-administered Patent Co-operation Treaty (PCT) which provides for the filing of a single international patent application which has the same effect as national applications filed in the designated countries. An applicant seeking protection may file one application and request protection in as many signatory states as needed. More info on PCT: www.wipo.int/export/sites/www/pct/en/basic_facts/faqs_about_the_pct.pdf. |
|||
← 3. Patent counts are provided for selected technology areas such as information and communication technology (ICT), biotechnology, nanotechnology and for technologies related to the environment and health. For more information, see www.oecd.org/dataoecd/5/19/37569377.pdf. For classifications of environmental related technologies see www.oecd.org/env/consumption-innovation/indicator.htm. |
|||
← 4. OECD (19) refers to Australia, Austria, Belgium, Canada, Chile, Denmark, Estonia, Finland, France, Germany, Italy, Japan, Mexico, Netherlands, Norway, Portugal, Spain, Sweden, and the United States. Only for these 19 countries was it possible to link the addresses of the applicants and inventors to the post codes of municipalities belonging to the metropolitan area. |
Physicians
|
|||
---|---|---|---|
Source |
Years |
Territorial Level |
|
EU23 countries1 |
Eurostat, health personnel by NUTS 2 regions (hlth_rs_prsrg) |
2013 |
2 |
Australia2 |
Australian Institute of Health and Welfare (AIHW), Medical Workforce 2012 |
2012 |
2 |
Canada3 |
Canadian Institute of Health Information (CIHI) Canadian Insitute for National Health Information (CIHI). Physician Database, table A.1.5 |
2011 |
2 |
Chile |
Department of Health Statistics and Information (DEIS), Ministry of Health (Minsal) |
2011 |
2 |
Iceland |
n.a. |
- |
- |
Israel |
Central Bureau of Statistic (CBS) |
2012 |
2 |
Japan |
Statistics and Information Department, Minister's Secretariat, Ministry of Health, Labour and Welfare |
2012 |
2 |
Korea |
Korea National Statistical Office |
2013 |
2 |
Mexico |
Ministry of Health |
2013 |
2 |
New Zealand |
Medical Council, The New Zealand Medical Force in 2010 |
2010 |
2 |
Norway |
Eurostat, Regional health statistics |
2013 |
2 |
Switzerland |
FSO Federal Statistical Office, Neuchâtel; Swiss Medical Association (FMH), Bern; Medical Statistics of Physicians, yearly census |
2013 |
2 |
Turkey |
National Statistics Agency, TURKSTAT |
2013 |
2 |
United States4 |
American Medical Association |
2011 |
2 |
China5 |
National Bureau of Statistics China |
2013 |
2 |
Peru |
Ministerio de Salud-Oficina de Estadística e Informática-Registro Nacional de Establecimientos de Salud |
2012 |
2 |
Russian Federation |
Federal State Statistics Service (Rosstat) |
2013 |
2 |
← 1. EU23 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom. 2012 data for Belgium, Denmark, Italy and Sweden, 2011 data for Luxembourg, 2010 for United Kingdom. No regional data available in Ireland. |
|||
← 2. Australia: the data refers to the number of employed medical practitioners, including clinicians and non-clinicians. |
|||
← 3. Canada: includes physicians in clinical and/or non-clinical practice. Excludes residents and unlicensed physicians who requested that their information not be published as of 31 December 2005. |
|||
← 4. United States: excludes doctors of osteopathy, and physicians with unknown addresses and who are inactive. Includes all physicians not classified according to activity status. |
|||
← 5. China: physicians data include licensed (assistant) doctors. |
PM2.5 particles concentration
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
All countries |
van Donkelaar, A., et al. (2014) “Use of Satellite Observations for Long-Term Exposure Assessment of Global Concentrations of Fine Particulate Matter”, Environmental Health Perspectives, Vol. 123(2). |
2012-14 |
2 and metropolitan areas |
The methodology is described in the Annex C. |
Population: Total, by age and gender (cont.)
|
|||
---|---|---|---|
Source |
Years |
Territorial Level |
|
Australia |
Australian Bureau of Statistics, cat. no. 3235.0, Population Estimates by Age and Sex, Regions of Australia (ASGS 2011), population at 30 June |
2001-14 |
3 |
Austria |
Statistics Austria, Population statistics, population at 1 January |
2000-14 |
3 |
Belgium |
Federal Public Service (FPS) Economy/Statistics Belgium. Official count of the resident population, population at 1 January |
2000-14 |
3 |
Canada |
Statistics Canada. CansimTable 051-0062. Population Estimates based on Standard Geographical Classification 2011, population at 1 July |
2000-14 |
3 |
Chile |
INE, Chile. Population projection and estimates by sex and age. 1990-2020, average annual population |
2000-14 |
3 |
Czech republic1 |
Czech Statistical Office CZSO. Population of territorial units of the Czech Republic |
2000-14 |
3 |
Denmark |
Statistics Denmark – StatBank, (FOLK1), population at 1 January |
2008-14 |
3 |
Estonia |
Statistics Estonia. Statistical database – table PO022, population at 1 January |
2000-14 |
3 |
Finland |
Statistics Finland, Population Statistics, Population structure, population at 1 January |
2000-14 |
3 |
France |
Insee – Estimations de population pour la France métropolitaine, population at 1 January |
2000-14 |
3 |
Germany |
Spatial Monitoring System of the Federal Institute for Building (BBSR). Statistical Offices of the Federal States, table 173-21-5-B |
2000-14 |
3 |
Greece |
Hellenic Statistical Authority, Population statistics, population at 1 January |
2001-14 |
3 |
Hungary |
HCSO, Hungarian Central Statistical Office, population at 1 January |
2000-14 |
3 |
Iceland |
Statistics Iceland, population at 1st of January by municipality |
2000-14 |
3 |
Ireland |
CSO, StatBank Ireland, population estimates: table PEA07, population in April; 2014 data collected from Eurostat |
2000-14 |
3 |
Central Bureau of Statistics Israel |
2000-14 |
2 |
|
Italy |
National Institute for Statistics (Istat). Intercensal resident population estimates (1991-2001 and 2002-2010) and population projection for reference year 2011 onwards. Population at 1 January; 2014 data collected from Eurostat |
2000-14 |
3 |
Japan |
Statistics Bureau, Current Population Estimates as of 1 October |
2001-14 |
3 |
Korea |
Statistics Korea, KOSIS database, yearly average projected population by age, population at 1 October |
2001-14 |
3 |
Luxembourg |
Eurostat regional statistics, table demo_r_pjangrp3, population at 1 January |
2000-14 |
3 |
Mexico |
INEGI, mid-year estimates, Population and Housing Census (1990,95,00,05,2010), OECD estimates for inter-census years. As from 2011 data are based on population projection, population at 30 June |
2000-10 |
3 |
Netherlands |
Eurostat regional statistics, table demo_r_pjangrp3, population at 1 January |
2003-14 |
3 |
New Zealand |
Statistics New Zealand, Population Statistics. Boundaries at 1 January 2013. NZ.DOTSTAT (Tablecode 7501), population at 30 June |
2000-14 |
3 |
Norway |
Statistics Norway, population at 1 January; 2014 data collected from Eurostat |
2000-14 |
3 |
Poland1 |
Central Statistical Office of Poland. Local Data Bank (Population and Vital statistics – Population by sex and age group (NTS-5) |
2000-14 |
3 |
Portugal |
Statistics Portugal (INE), Demographic Statistics, population at 1 January |
2000-14 |
3 |
Slovak Republic |
Statistical Office of the Slovak Republic, population at 1 January |
2000-14 |
3 |
Slovenia |
Statistical Office of the Republic of Slovenia. SI-STAT Data Portal. population at 1 January; 2014 data collected from Eurostat |
2000-14 |
3 |
Spain |
INE-INEBASE Population data historical series, 1971 to 2014, population at 1 January |
2000-14 |
3 |
Sweden1 |
Statistics Sweden |
2000-14 |
3 |
Switzerland1 |
Swiss Federal Statistical Office: from Dec-2010 onwards (Population and Households Statistics (STATPOP) ; Dec-1990 to Dec-2009: Annual Population Statistics (ESPOP); break in series between 2010 and 2011 |
2000-14 |
3 |
Turkish Statistical Institue (TurkStat). The source of 2007-14 data is Address Based Population Registration System (ABPRS) and de jure population |
2001-13 |
3 |
|
United Kingdom |
Office for National Statistics, ONS, Nomis database, population at 1 January for TL2; 2014 data collected from Eurostat |
2000-14 |
3 |
United States |
United States Census Bureau – State and County Population Estimates, Table PEPAGESEX, population at 1 July |
2000-14 |
3 |
Brazil2 |
Instituto Brasileiro de Geografia e Estatística, IBGE, census 1991, 2000, 2010 |
2004-14 |
2 |
China |
China Statistical database – Age composition and dependency ratio of population table |
2000-14 |
2 |
Colombia |
DANE. Estimation of population 1985-2005 and projection of population 2005-2020 by department |
2000-14 |
2 |
India |
Estimated mid-year population by states/UTs |
2001-13 |
2 |
Indonesia |
Statistics Indonesia – Population of Indonesia by Province |
2000-14 |
2 |
Latvia |
Central Statistical Bureau of Latvia, population by statistical region |
2000-14 |
3 |
Lithuania |
Eurostat regional statistics, population on 1 January, table demo_r_pjangrp3 |
2000-14 |
3 |
Russian Federation |
Federal State Statistics Service (Rosstat). Number of de-jure (resident) population on subjects of the Russian Federation |
2000-14 |
2 |
South Africa |
Statistics South Africa, population estimates for the period 2002-2014 based on 2011 Census |
2002-14 |
2 |
← 1. Population at 31 December restated at 1 January the following year by OECD. |
|||
← 2. First available year for population by age: 2004. |
|||
← 3. Last available year for population by age: 2013. |
Population mobility among regions (total and young) (cont.)
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
Australia1 |
Australian Bureau of Statistics (ABS), ABS.Stat |
2011-13 |
3 |
Austria |
Statistics Austria, Migration statistics |
2011-13 |
3 |
Belgium |
FPS Economie/Statistics Belgium |
2011-13 |
3 |
Canada |
Statistics Canada. Cansim Table 051-0012 |
2011-13 |
2 |
Chile6 |
n.a. |
- |
- |
Czech Republic |
Czech Statistical Office CZSO |
2011-13 |
3 |
Denmark |
Statistics Denmark, StatBank, table FLY55 |
2011-13 |
3 |
Estonia |
Statistics Estonia, Statistical database, table POR06 |
2011-13 |
3 |
Finland |
Statistics Finland, Population Statistics, Migration |
2011-13 |
3 |
France6 |
n.a. |
- |
- |
Germany7 |
Spatial Monitoring System of the BBSR. Periodic update of population statistics by the Federal Office of Germany and the Statistical Offices of the Federal States |
2011-12 |
3 |
Greece |
Hellenic Statistical Authority. Population-Housing Census (2001, 2011) |
2011 |
3 |
Hungary |
HCSO, Hungarian Central Statistical Office, Internal migration statistics based on the registration system of home addresses |
2011-13 |
3 |
Iceland |
Statistics Iceland, Internal migration |
2011-13 |
3 |
Ireland6 |
n.a. |
- |
- |
Israel |
Central Bureau of Statistics Israel |
2011-13 |
2 |
Italy |
Istat, Iscrizioni e calcellazioni anagrafiche (changes of residence from/to italian municipalities) |
2011-13 |
3 |
Japan7 |
Statistics Bureau, Migrants by prefecture derived from the Basic Resident Registers |
2011-13 |
3 |
Korea2 |
Statistics Korea, KOSIS database – Internal Migration Statistics |
2011-13 |
3 |
Mexico |
INEGI. Censo de población y vivienda 2010 |
2010 |
3 |
Netherlands |
Statistics Netherlands on Statline |
2010 |
2 |
New Zealand6 |
n.a. |
- |
- |
Norway |
Statistics Norway. Statbank, table 01222: Population change (M) |
2011-13 |
3 |
Poland |
Central Statistical Office of Poland, PESEL register |
2011-13 |
3 |
Portugal3 |
Statistics Portugal (INE), Census 2001 and 2011 |
2011 |
3 |
Slovak Republic |
Statistical Office of the SR |
2011-13 |
3 |
Slovenia |
Statistical Office of the Republic of Slovenia, Ministry of the Interior – Central Population Register, Ministry of the Interior – Administrative Internal Affairs Directorate |
2011 |
3 |
Spain |
INE – Data provided by the delegate of the OECD Working Party on Territorial Indicators |
2011-13 |
3 |
Sweden |
Statistics Sweden, Central Office for Administrative and Electronic Public Services registration system |
2011-13 |
3 |
Switzerland |
Swiss Federal Statistical Office, 1990 to 2010: Annual Population Statistics (ESPOP), from 2011 onwards: Population and Households Statistics (STATPOP) |
2011-13 |
3 |
Turkey |
Turkish Statistical Institue (TurkStat), Address Based Population Registration System |
2011-13 |
3 |
United Kingdom4 |
National Statistical Office, Population Estimates |
2011-13 |
3 |
United States5 |
Secretariat's calculation using Internal Revenue Service (IRS) Individual Master File, Statistics of Income. |
2011 |
3 |
Brazil |
IBGE, 1991, 2000 e 2010 Census, 2004-13: Pesquisa Nacional por Amostra de Domicílios – PNAD |
2011-13 |
2 |
Russian Federation |
Federal State Statistics Service (Rosstat) calculations based on Federal Migration Service data |
2011-13 |
2 |
Data refer to domestic migration: inflows and outflows of population from one region to another region of the same country. They do not include international immigration and outmigration. |
|||
← 1. Australia: Regional internal migration covers the movement of people from one location to another within Australia. Regional internal migration estimates (RIME) are prepared for sub-state regions and captures moves over each financial year on an annual basis. |
|||
← 2. Korea: Sejong Province, new province created as from August 2012. Due to limited data availability, Sejong data have been aggregated in Chungcheongnam-do (KR053). |
|||
← 3. Portugal: 2011 census micro-data refer to flows between 31 December 2009 and 21 March 2011. |
|||
← 4. United Kingdom: data do not include Scotland and Northern Ireland. |
|||
← 5. United States: Secretariat’s computation of inflows and outflows at TL3 level by aggregating county-to-county bilateral migration data from the IRS Individual Master File system, based on tax filing units. www.irs.gov/uac/SOI-Tax-Stats-County-to-County-Migration-Data-Files. |
|||
← 6. France and Ireland data not available at regional level. Chile and New Zealand regional data are not included for lack of comparability with the other countries. |
|||
← 7. Young immigrants data available for the period 2009-12 for Germany and 2010-13 for Japan. |
Research and development (R&D) expenditure
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
EU211 |
Eurostat, Regional Science and technology Statistics, R&D expenditures and personnel, Total intramural R&D expenditure (GERD) by sector of performance and region |
2001-13 |
2 |
Australia2 |
Australian Bureau of Statistics 8104.0 – Research and Experimental Development, Businesses, Australia, 2010-11 8109.0 – Research and Experimental Development, Government and Private Non-Profit Organisations, Australia, 2008-09 8111.0 – Research and Experimental Development, Higher Education Organisations, Australia, 2010 |
2000-12 |
2 |
Canada |
Statistics Canada. CANSIM database, Table 358-0001 – Gross domestic expenditures on research and development, by performer sector |
2000-13 |
2 |
Chile |
Instituto Nacional de Estadísticas (INE) Chile, Survey of Expenditure and Personnel in R&D |
2009-12 |
2 |
Iceland |
n.a. |
- |
- |
Israel |
Central Bureau of Statistics |
2007-08 |
2 |
Japan |
n.a. |
- |
- |
Korea |
Korea Institute of Science and Technology Evaluation and Planning (KISTEP) |
2000-13 |
2 |
Mexico |
n.a. |
- |
- |
New Zealand |
n.a. |
- |
- |
Norway |
Eurostat, Regional Science and Technology Statistics, R&D expenditures and personnel, Total intramural R&D expenditure (GERD) by sector of performance and region |
2001-13 |
2 |
Switzerland3 |
Eurostat, Regional Science and Technology Statistics, R&D expenditures and personnel, Total intramural R&D expenditure (GERD) by sector of performance and region |
2008-12 |
2 |
Turkey |
n.a. |
- |
- |
United States |
National Science Foundation, National Center for Science and Engineering Statistics. Science and Engineering State Profiles www.nsf.gov/statistics/states/#ui-tabs-4. |
2000-13 |
2 |
Gross Domestic Expenditure on R&D (GERD) is the total intramural expenditure on R&D performed in the region or country during a given period. GERD is disaggregated in four sectors: business enterprise, government, higher education and private and non-profit. The Business Enterprise sector is comprehensive of all firms, organizations and institutions whose primary activity is the market production of goods or services (other than higher education) for sale to the general public at an economically significant price. It also includes the private non-profit institutions mainly serving the above mentioned firms, organizations and institutions (See Frascati Manual section 3.4). The Government sector is comprehensive of all departments, offices and other bodies which furnish, but normally do not sell to the community, those common services, other than higher education, which cannot otherwise be conveniently and economically provided, as well as those that administer the state and the economic and social policy of the community. (Public enterprises are included in the business enterprise sector). It also includes non-profit institutions controlled and mainly financed by government, but not administered by the higher education sector (see Frascati Manual section 3.5). The higher education sector is comprehensive of all universities, colleges of technology and other institutions of post-secondary education, whatever their source of finance or legal status. It also includes all research institutes, experimental stations and clinics operating under the direct control of or administered by or associated with higher education institutions (see Frascati Manual section 3.7). The Private non-profit sector is comprehensive of Non-market, private non-profit institutions serving households (i.e. the general public) and private individuals or households (see Frascati Manual section 3.6). |
|||
Source: OECD (2015), Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development, The Measurement of Scientific, Technological and Innovation Activities, OECD Publishing, Paris, https://doi.org/10.1787/9789264239012-en. |
|||
First available year: 2001 for Czech Republic and Sweden; 2002 for Austria, Belgium and Ireland; 2003 for Germany and Slovenia, 2005 for Netherlands and United Kingdom; 2007 for Denmark. Only 2011 data for Greece. |
|||
← 1. EU21 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, and the United Kingdom. |
|||
← 2. Australia: 2012 R&D Business expenditures for Australia refer to 2013-14 fiscal year. |
|||
← 3. Switzerland: only Business R&D expenditure. |
Research and development (R&D) personnel (headcounts)
|
|||
---|---|---|---|
Source |
Years |
Territorial Level |
|
EU211 |
Eurostat, Total R&D personnel by sectors of performance (employment) and region |
2001-13 |
2 |
Australia3 |
n.a. |
- |
- |
Canada2 |
Statistics Canada. CANSIM database Table 358-0160 Provincial distribution of personnel engaged in research and development, by performing sector and occupational category |
2013 |
2 |
Chile |
Instituto Nacional de Estadísticas (INE) Chile, Survey of Expenditure and Personnel in R&D |
2009-12 |
2 |
Iceland3 |
n.a. |
- |
- |
Israel |
Central Bureau of Statistics |
2007-08 |
2 |
Japan3 |
n.a. |
- |
- |
Korea |
Korea Institute of Science and Technology Evaluation and Planning (KISTEP) |
2000-13 |
2 |
Mexico3 |
n.a. |
- |
- |
New Zealand3 |
n.a. |
- |
- |
Norway |
Eurostat, Total R&D personnel by sectors of performance (employment) and region |
2001-13 |
2 |
Switzerland5 |
Eurostat, Total R&D personnel by sectors of performance (employment) and region |
2008-12 |
2 |
Turkey3 |
n.a. |
- |
- |
United States4 |
National Science Foundation, National Center for Science and Engineering Statistics; Science and Engineering State Profiles www.nsf.gov/statistics/states/#ui-tabs-4 |
2008-13 |
2 |
← 1. EU21: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, and United Kingdom. R&D personnel by sectors for France: 2001. |
|||
First available year: 2001 for Czech Republic, Greece and Sweden; 2002 for Austria, Belgium and Ireland; 2003 for Germany and Slovenia; 2005 for Netherlands and the United Kingdom; 2007 for Denmark; 2009 for Finland. |
|||
← 2. Canada: Data are expressed in full-time equivalent. |
|||
← 3. Australia, Iceland, Mexico, New Zealand: Data not available at the regional level. Data available for Israel are Higher Education and Business R&D personnel, and for Japan, total Government R&D personal. |
|||
← 4. United States: total R&D personnel estimate: based on employed science, engineering, or health (SEH) doctorate holders. |
|||
← 5. Switzerland: only Business R&D personnel. |
Social network support
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
All countries |
Gallup World Poll www.gallup.com/services/170945/world-poll.aspx |
Average 2006-14 |
TL2 |
Perceived social network support is based on the survey question: “If you were in trouble, do you have relatives or friends you can count on to help you whenever you need them, or not?” |
|||
Regional estimates are derived by micro-data pooling the yearly surveys 2006-14 and they show the percentage of the regional sample responding “Yes” to the survey question. TL3 regions for Estonia. Estimates are not available for the following regions: Northwest Territories, Nunavut, Yukon (Canada); Helsinki-Usimaa, Aland (Finland). |
Subnational government expenditure, revenue, investment and debt
|
|||
---|---|---|---|
Source |
Years |
Territorial level |
|
OECD National Accounts |
2014 |
- |
|
Tax revenue: comprises taxes on production and imports (D2), current taxes on income and wealth (D5) and capital taxes (D91). It includes both own-source tax revenue (or “autonomous”) and tax revenue shared between central and subnational governments. NB: the SNA 2008 has introduced some changes concerning the classification of some shared tax revenues. In several countries, certain tax receipts have been recently reclassified as transfers and no longer as shared taxes. |
|||
← 1. Data at country level are derived mainly from the OECD National Accounts harmonised according to the new standards of the System of National Accounts (SNA) 2008, implemented by most OECD countries since December 2014 (exceptions are, at the time of this publication: Chile, Japan and Turkey which are still under SNA 1993). They are complemented by data from Eurostat, IMF (Chile) and national statistical institutes for some countries or indicators (in particular, territorial organisation). Data were extracted in January 2016. Subnational government: is defined here as the sum (non-consolidated) of subsectors S 1312 (federated government) and S 1313 (local government). |
|||
← 2. Total public expenditure comprises: current expenditure (compensation of employees, intermediate consumption, social expenditure, subsidies and other current transfers, taxes, financial charges, adjustments) and capital expenditure (investments plus capital transfers (i.e. investment grants and subsidies in cash or in kind made by subnational governments to other institutional units). |
|||
3. Total public revenue comprises tax revenue (see below), transfers (current and capital grants and subsidies), tariffs and fees, property income and social contributions; |
|||
← 4. Public investment includes gross capital formation and acquisitions, less disposals of non-financial non-produced assets. Gross fixed capital formation (or fixed investment) is the main component of investments. NB: since the new standards of the SNA 2008, expenditures on research and development and weapons systems are included in gross fixed capital formation. |
|||
← 5. The General Government gross debt definition based on the SNA 2008, includes the sum of the following liabilities: currency and deposits + debt securities + loans + Insurance pension and standardised guarantees + other accounts payable. Most debt instruments are valued at market prices. NB: OECD definition differs from the one defined in the EU Maastricht protocol which is restricted to the sum of the first three items (i.e. mainly borrowing). |
Voter turnout (cont.)
|
|||
---|---|---|---|
Source |
Last Year |
Territorial level |
|
Australia |
Australian Electoral Commission. Federal election |
2013 |
2 |
Austria |
Austrian Federal ministry of interior, parliamentary elections |
2013 |
2 |
Belgium |
Federal Portal of Belgium. Parliamentary elections |
2013 |
2 |
Canada |
Elections Canada, Election Results 19 October 2015 – enr.elections.ca |
2015 |
2 |
Chile |
INE, Chile. Electoral service (Servel) |
2013 |
2 |
Czech Republic |
Czech Statistical Office CZSO, Results of Election to the Chamber of Deputies of the parliament |
2013 |
2 |
Denmark |
Danish general election – http://electionresources.org/dk/data/ |
2015 |
2 |
Estonia |
Estonian parliamentary election – http://rk2015.vvk.ee/detailed.html |
2015 |
3 |
Finland |
Statistics Finland, Presidential elections, second round |
2012 |
2 |
France |
BEEP – Ministère de l'intérieur |
2012 |
2 |
Germany |
Data sent by the German delegate of the OECD Working Party on Territorial Indicators, German Federal election |
2013 |
2 |
Greece |
Ministry of Interior, Parliamentary Elections 2012 – www.ypes.gr/en/Elections/ |
2012 |
2 |
Hungary |
Hungarian National Election Office |
2014 |
2 |
Iceland |
Results of general elections – www.statice.is/statistics/population/elections/general-elections/ |
2003 |
2 |
Ireland |
Houses of the Oireachtas – www.oireachtas.ie |
2011 |
2 |
Israel |
Central Bureau of Statistics Israel |
2013 |
2 |
Italy |
Ministero dell'interno, Dipartimento per gli Affari Interni e Territoriali. Servizi Elettorali |
2013 |
2 |
Japan |
Statistics Bureau (2014: Representatives elections) |
2014 |
2 |
Korea |
Korean National Election Commission |
2014 |
2 |
Mexico |
INEGI, general elections |
2012 |
2 |
Netherlands |
Dutch Electoral Council (Kiesraad) – www.kiesraad.nl/ |
2012 |
2 |
New Zealand |
New Zealand Electoral Commission, general election |
2014 |
2 |
Norway |
Statistics Norway |
2013 |
2 |
Poland |
Central Statistical Office of Poland, National Election Commission |
2015 |
2 |
Portugal |
Ministry of Internal Administration of Portugal- Directorate-General of Internal Administration |
2015 |
2 |
Slovak Republic |
Statistical Office of the SR |
2014 |
2 |
Slovenia |
Republic of Slovenia Early elections for deputies to the National Assembly |
2014 |
2 |
Spain |
INE |
2015 |
2 |
Sweden |
Swedish Election Authority |
2014 |
2 |
Switzerland |
Statistique suisse – www.politik-stat.ch/nrw2015wb_fr.html |
2015 |
2 |
Turkey |
Data sent by the Turkish delegate of the OECD Working Party on Territorial Indicators |
2011 |
2 |
United Kingdom |
Data sent by the UK delegate of the OECD Working Party on Territorial Indicators |
2015 |
2 |
United States |
US Census. Reported Voting and Registration of the Citizen Voting-Age Population |
2012 |
2 |
Young people neither in employment nor in education or training (NEET)
|
||||
---|---|---|---|---|
Source |
Reference population |
Year |
Territorial level |
|
EU211 |
Eurostat, Young people neither in employment nor in education and training by sex and NUTS 2 regions (NEET rates) [edat_lfse_22] |
15-24 |
2014 |
2 |
Australia |
n.a. |
- |
- |
- |
Canada |
n.a. |
- |
- |
- |
Chile |
n.a. |
- |
- |
- |
Iceland |
n.a. |
- |
- |
- |
Israel |
Central Bureau of Statistics Israel |
15-24 |
2013 |
2 |
Japan |
Statistics Bureau |
15-24 |
2014 |
2 |
Korea |
n.a. |
- |
- |
- |
Mexico |
n.a. |
- |
- |
- |
New Zealand |
Statistics New Zealand. Infoshare database, Household Labour Force Survey |
15-24 |
2014 |
2 |
Norway |
Eurostat, Young people neither in employment nor in education and training by sex and NUTS 2 regions (NEET rates) [edat_lfse_22] |
15-24 |
2014 |
2 |
Switzerland |
Eurostat, Young people neither in employment nor in education and training by sex and NUTS 2 regions (NEET rates) [edat_lfse_22] |
15-24 |
2014 |
2 |
Turkey |
TURKSTAT, Household Labour Force Survey Revised Results |
15-24 |
2014 |
2 |
United States |
n.a. |
- |
- |
- |
Brazil |
IBGE, Pesquisa Nacional por Amostra de Domicílios – PNAD |
15-24 |
2013 |
2 |
Colombia |
DANE |
15-24 |
2014 |
2 |
Russian Federation |
Federal State Statistics Service (Rosstat), Labour force survey |
15-24 |
2014 |
2 |
South Africa |
Statistics South Africa, General Household Survey 2002-13 |
15-24 |
2013 |
2 |
The indicator on young people neither in employment nor in education and training (NEET) corresponds to the percentage of the population 18-24 who are not employed and not involved in further education or training. The numerator of the indicator refers to persons who meet the following two conditions: (a) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition) and (b) they have not received any education or training in the four weeks preceding the survey. The denominator in the total population consists of the same age group and gender, excluding the respondents who have not answered the question “participation to regular education and training”, http://ec.europa.eu/eurostat/data/database. |
||||
← 1. EU21 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom. |
Youth unemployment
|
||||
---|---|---|---|---|
Source |
Reference population |
Year |
Territorial level |
|
EU231 |
Eurostat, Regional labour market statistics, unemployment |
15-24 |
2008-14 |
2 |
Australia |
Australian Bureau of Statistics (ABS), Labour Force, Cat. no. 6291.0.55.001 |
15-24 |
2008-14 |
2 |
Canada2 |
Statistics Canada. CANSIM database, Table 282-0002 – Labour force survey estimates (LFS) |
15-24 |
2008-14 |
2 |
Chile |
National Institute of Statistics, INE |
15-24 |
2010-14 |
2 |
Iceland |
n.a. |
15-24 |
2008-11 |
2 |
Israel |
Central Bureau of Statistics – LFS |
15-24 |
2008-13 |
2 |
Japan |
Statistics Bureau, MIC |
15-24 |
2008-14 |
2 |
Korea |
n.a. |
- |
- |
- |
Mexico |
National Institute of Statistics, INEGI, Employment and Occupation National Survey |
15-24 |
2010-14 |
2 |
New Zealand |
Statistics New Zealand – Household Labour Force Survey |
15-24 |
2008-12 |
North/South Islands |
Norway |
Statistics Norway |
15-24 |
2008-14 |
2 |
Switzerland |
Eurostat, Regional labour market statistics, unemployment |
15-24 |
2009-14 |
2 |
Turkey |
Turkish Statistical Institute, LFS |
15-24 |
2008-14 |
2 |
United States |
Bureau of Labour Statistics, Local Area Unemployment Statistics |
15-24 |
2008-14 |
2 |
Brazil |
IBGE, Pesquisa Nacional por Amostra de Domicílios – PNAD |
15-24 |
2008-13 |
2 |
Colombia |
DANE – Gran Encuesta Integrada de Hogares – GEIH – (Labour Houshold survey) |
15-24 |
2008-14 |
2 |
Russian Federation |
Federal State Statistics Service (Rosstat), Labour force survey |
15-24 |
2008-14 |
2 |
← 1. EU23 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom. |
||||
Austria: no data for Salzburg (AT32) and Vorarlberg (AT34). Germany: 2010 data for Bremen (DE5) and 2013 for Saarland (DEC). |
||||
First available year: 2012 for Portugal, 2010 for France, 2009 for Slovak Republic and Greece. |
||||
← 2. Canada: Data are not available for the regions Yukon Territory, Nunavut and Northwest Territories. |
← 1. The tables refer to the years and territorial levels used in this publication.
← 2. 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.