ANNEX B. Sources and data description
|
User guide: List of variables
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|---|---|---|
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Variables used |
Page |
Chapter(s) |
|
Area |
144 |
2 |
|
Business demography, births and deaths of enterprises |
144 |
1 |
|
Employment at place of work and gross value added by industry |
145 |
1 |
|
Foreign-born (migrants) |
145 |
4 |
|
Gross domestic product (GDP) |
146 |
1 |
|
Homicides |
147 |
2 |
|
Household disposable income |
148 |
2, 4 |
|
Households with broadband connection |
149 |
2 |
|
Housing expenditures as a share of household disposable income |
150 |
2 |
|
Income segregation in cities |
151 |
4 |
|
Labour force, employment at place of residence by gender, unemployment |
152 |
2 |
|
Labour force by educational attainment |
152 |
2 |
|
Life expectancy at birth, total and by gender |
153 |
2 |
|
Metropolitan population |
154 |
4 |
|
Motor vehicle theft |
155 |
2 |
|
Patents applications |
155 |
1 |
|
PM2.5 particle concentration |
155 |
2, 4 |
|
Population mobility among regions |
156 |
3 |
|
Population, total, by age and gender |
157 |
3 |
|
R&D expenditure and R&D personnel |
158 |
1 |
|
Rooms per person (number of) |
159 |
2 |
|
Subnational government expenditure, revenue, investment and debt |
160 |
5 |
|
Voter turnout |
160 |
2 |
|
Note on Israel: 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. |
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Area
|
|
|---|---|
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Country |
Source |
|
EU24 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 |
|
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. EU24 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. |
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|
Business Demography, births and deaths of enterprises
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|---|---|---|---|
|
Country |
Source |
Years Birth (Death) |
Territorial level |
|
Australia |
Australian Bureau of Statistics (ABS). Counts of Australian Businesses, including Entries and Exits (Cat. 8165.0) |
2015 (2015) |
2 |
|
Austria |
Eurostat Regional Business Demography |
2015 (2014) |
3 |
|
Belgium |
Statistics Belgium |
2015 (2015) |
2 |
|
Canada |
Statistics Canada ; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2015 (2015) |
2 |
|
Czech Republic |
Eurostat Regional Business Demography |
2015 (2014) |
3 |
|
Denmark |
Eurostat Regional Business Demography |
2013 (2013) |
3 |
|
Estonia |
Eurostat Regional Business Demography |
2015 (2015) |
3 |
|
Finland |
Eurostat Regional Business Demography. |
2015 (2015) |
3 |
|
France |
Eurostat Regional Business Demography |
2015 (2014) |
3 |
|
Hungary |
Eurostat Regional Business Demography |
2015 (2014) |
3 |
|
Israel |
CBS |
2014 (2011) |
3 |
|
Italy |
Eurostat Regional Business Demography |
2015 (2014) |
3 |
|
Japan1 |
Statistics Japan |
2014 (2014) |
3 |
|
Korea |
Korean Statistical Information Service. Number of enterprises by region (Active/Births/Deaths) |
2015 (2015) |
3 |
|
Latvia |
Central Statistical Bureau |
2014 (2013) |
3 |
|
Luxembourg |
Eurostat Regional Business Demography |
2014 (2013) |
3 |
|
Mexico1 |
INEGI |
2014 (2014) |
2 |
|
Netherlands |
Eurostat Regional Business Demography |
2010 (2009) |
3 |
|
New Zealand1 |
Statistics New Zealand |
2016 (2016) |
3 |
|
Norway2 |
Statistics Norway, Business and enterprise register |
2015 (..) |
3 |
|
Poland |
Eurostat Regional Business Demography |
2010 (2009) |
3 |
|
Portugal |
Eurostat Regional Business Demography |
2015 (2014) |
3 |
|
Slovak Republic |
Eurostat Regional Business Demography. |
2015 (2014) |
3 |
|
Slovenia |
Eurostat Regional Business Demography. |
2010 (2010) |
3 |
|
Spain |
Eurostat Regional Business Demography |
2014 (2013) |
3 |
|
United Kingdom |
Office for National Statistics-Business Demography |
2015 (2015) |
3 |
|
United States1 |
U.S. Census Bureau. Statistics of US businesses (SUSB) |
2014 (2014) |
2 |
|
← 1. For Japan, Mexico, New Zealand, and United States, data refer to establishments / local units. |
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← 2. Norway: Firm deaths are not recorded. |
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Employment at place of work and gross value added by industry (ISIC rev. 4)
|
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|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
EU23 countries1 |
Eurostat, Regional economic accounts, Branch accounts, Employment |
2000-16 |
2 |
|
Australia2 |
Australian Bureau of Statistics, cat. no. 5220.0 - Australian National Accounts: State Accounts, and Table 6291.0.55.003 Labour Force |
2000-15 |
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 |
2002-16 |
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 |
2004-16 |
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# |
2016 |
2 |
|
New Zealand |
Statistics New Zealand. Gross domestic product by industry, per region |
2000-14 |
2 |
|
Norway |
Eurostat, Regional economic accounts, Branch accounts, Employment |
2016 |
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 |
2002-13 |
2 |
|
Turkey |
Turkish Statistical Institute (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) |
2000-16 |
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. |
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← 2. Australia: Data are derived from ANZSIC and do not match the ISIC classification. |
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|
Foreign-born (migrants)
|
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|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
EU22 countries1 |
European Union Labour Force Survey (EU-LFS, data provided by Eurostat) |
2005-15 |
2, 3 |
|
Australia |
Survey of Education and Work (SEW) |
2005-15 |
2 |
|
Canada |
Canadian Labour Force Survey |
2005-15 |
2 |
|
Mexico |
National Survey of Occupation and Labour |
2005-15 |
2 |
|
United States |
American Community Survey |
2005-15 |
2 |
|
← 1. EU22 countries include Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom. |
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|
Gross domestic product
|
|||
|---|---|---|---|
|
Source |
Years |
Territorial level |
|
|
Eurostat, Regional economic accounts |
2000-16 2000-15 |
2 3, metropolitan areas |
|
|
Australia2 |
Australian Bureau of Statistics, 5220.0. Gross state product, figures based on fiscal year (July-June). |
2000-16 |
2, metropolitan areas |
|
Canada2 |
Statistics Canada, Provincial economic accounts |
2000-16 2001-13 |
2 metropolitan areas |
|
Chile2 |
Banco central de Chile. Cunetas nacionales de Chile |
2000-16 |
2, metropolitan areas |
|
Iceland3 |
n.a. |
- |
- |
|
Israel3 |
n.a. |
- |
- |
|
Japan2 |
Economic and Social Research Institute, Cabinet Office, data are based on fiscal year (April-March). |
2001-14 |
2, 3, metropolitan areas |
|
Korea2 |
Korean National Statistical Office |
2000-16 |
2, 3, metropolitan areas |
|
Mexico2 |
INEGI, System of national accounts of Mexico |
2003-16 |
2, metropolitan areas |
|
New Zealand |
Statistics New Zealand |
2000-15 |
2,3 |
|
Norway4 |
Norwegian Regional Accounts |
2000-16 |
2, 3, metropolitan areas |
|
Switzerland2 |
Swiss Federal Statistical Office, Statweb |
2008-15 |
2, 3, metropolitan areas |
|
Turkey |
Turkish Statistical Institute (TurkStat) |
2004-14 |
2,3 |
|
United States2 |
Bureau of Economic Analysis |
2000-16 |
2, metropolitan areas |
|
← 1. EU25 countries: Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Romania, Slovak Republic, Slovenia, Spain, Sweden and the United Kingdom. |
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← 2. GDP estimates at the metropolitan area level were based on TL3 data with the exception of Chile and Mexico where TL2 data were used. Metropolitan estimates for the United States were based on metropolitan areas from the U.S. Bureau of Economic Analysis, and for Canada, based on Census Metropolitan Areas from Statistics Canada. The methodology used to estimate GDP figures at metropolitan level is described in Annex C. |
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← 3. Iceland and Israel: Data not available at the regional level. |
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← 4. Norway: 2000-07 data estimated by the Secretariat to obtain long time series linked with 2008-16 series. |
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Homicides
|
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|---|---|---|---|
|
Country |
Source |
Years |
Territorial Level |
|
Australia |
Australian Bureau of Statistics (ABS), Recorded Crime - Victims, Australia, 2013 (cat. no. 4510.0) |
2015 |
2 |
|
Austria |
Austria Home Office, Crime Statistics. |
2016 |
2 |
|
Belgium |
Belgian Federal Police |
2016 |
2 |
|
Canada |
Statistics Canada. CANSIM database Table 253-0001 - Homicide Survey, Canadian Centre for Justice Statistics. |
2016 |
2 |
|
Chile1 |
INE, Chile. Undersecretariat of Crime Prevention, Ministry of Interior and Public Safety. |
2016 |
2 |
|
Czech Republic |
Czech Statistical Office; Police of the Czech Republic. |
2016 |
2 |
|
Denmark |
Statistics Denmark, StatBank Table STRAF11: Reported criminal offences, Homicide series |
2016 |
2 |
|
Estonia2 |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2016 |
3 |
|
Finland |
Statistics Finland, Justice statistics |
2016 |
2 |
|
France3 |
INSEE, Etat 4001 annuel, DCPJ. |
2012 |
2 |
|
Germany |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2016 |
2 |
|
Greece |
Hellenic Statistical Authority, Hellenic Police (offences committed) / completed and attempted action |
2016 |
2 |
|
Hungary |
Ministry of Justice, Chief Prosecutor’s Department |
2016 |
2 |
|
Iceland |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2015 |
2 |
|
Ireland |
CSO, StatBank Ireland, Table CJQ02: Recorded Crime Offences by Garda Region |
2016 |
2 |
|
Israel4 |
Central Bureau of Statistics Israel |
2015 |
2 |
|
Italy |
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 |
2015 |
2 |
|
Korea |
Korean Ministry of Justice |
2016 |
2 |
|
Latvia |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2014 |
3 |
|
Mexico5 |
Directorate General of Government of Mexico, Public Safety and Justice Statistics |
2016 |
2 |
|
Netherlands |
Statistics Netherlands (CBS)-STATLINE |
2012 |
2 |
|
New Zealand |
Statistics New Zealand, Annual Recorded Offences for the latest Calendar Years (ANZSOC) |
2014 |
2 |
|
Norway3 |
Directorate of the Police of Norway (homicides) and Statistics Norway (crime against property) |
2016 |
2 |
|
Poland6 |
National Police Headquarters. |
2011 |
2 |
|
Portugal |
Ministry of Justice - Directorate-General for Justice Policy |
2016 |
2 |
|
Slovak Republic |
Statistical Office of the Slovak Republic, regional database Datacube |
2016 |
2 |
|
Slovenia |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2012 |
2 |
|
Spain |
INE |
2016 |
2 |
|
Sweden |
Swedish National Council for Crime Prevention (Brå). |
2014 |
2 |
|
Switzerland |
Federal Statistical Office (FSO), Police crime statistics |
2016 |
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 |
2016 |
2 |
|
United States |
Federal Bureau of Investigation, Crime in the United States, Table 4 |
2016 |
2 |
|
Colombia |
Policía Nacional, Colombia |
2016 |
2 |
|
Lithuania |
Information Technology and Communications Department under the Ministry of the Interior of the Republic of Lithuania, Register of Criminal Offences |
2015 |
3 |
|
Russian Federation |
Federal State Statistics Service (Rosstat), data according to the law-enforcement authorities |
2014 |
3 |
|
← 1. Chile: 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. Estonia and Italy: In some cases the exact place where a crime is committed is unknown. Therefore the sums of regions are not always equal with larger geographic aggregation or country total data (the latter including more crimes). |
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← 3. France and Norway: Homicides data exclude acts of terrorism and mass killing. |
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|
← 4. Israel: Police districts are different from CBS districts, Northern district data includes Haifa District. Some files are not included in the district data when they are managed at the national level. Homicide data include acts of terrorism. |
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← 5. Mexico: As part of the implementation of the National Census of Law Enforcement, data correspond to administrative records of deaths from homicide location occurrence, registered preliminary enquiries initiated by the Public Prosecutor of the Common Jurisdiction in each of the federal states. |
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← 6. Poland: Data include ascertained crimes from the category of homicide and infanticide in any form. |
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|
Household disposable income
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
EU21 countries1 |
Eurostat, Household income statistics, disposable income |
2016 |
2 |
|
Australia |
- Australian Bureau of Statistics, Australian National Accounts, Household Income Account (cat. no. 5220.0 table 12). Gross disposable income series - Australian Bureau of Statistics, Estimates of Personal Income for Small Areas: http://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/6524.0.55.0022011-2015?OpenDocument |
2016 2016 |
2 Metropolitan areas |
|
Austria |
Statistics Austria, Integrated Wage and Income Tax Statistics (sent by Statistics Austria) |
2013-15 |
Metropolitan areas |
|
Belgium |
Statistics Belgium, Total net taxable income by tax return and by municipality: https://statbel.fgov.be/fr/themes/menages/revenus-fiscaux/plus |
2013-15 |
Metropolitan areas |
|
Canada |
- Statistics Canada. CANSIM database. Table 384-0040 - Current accounts Households, provincial and territorial - Statistics Canada, sent by Statistics Canada |
2015 2015 |
2 Metropolitan areas |
|
Chile2 |
- National Socio-economic Survey (CASEN) - Ministerio de Desarrollo Social, Gobierno de Chile, Encuesta CASEN : http://observatorio.ministeriodesarrollosocial.gob.cl/casen-multidimensional/casen/basedatos.php |
2014 2015 |
2 Metropolitan areas |
|
Denmark |
Statistics Denmark, Disposable family income by municipality; Avg. equivalised disposable income in decile groups, by decile average, municipality and time: http://www.statistikbanken.dk/statbank5a/SelectTable/Omrade0.asp?SubjectCode=04&ShowNews=OFF&PLanguage=1 |
2014-16 |
Metropolitan areas |
|
Estonia |
Statistics Estonia, Number of recipients and Average monthly gross income per employee by regions and administrative units: http://pub.stat.ee/px-web.2001/Dialog/varval.asp?ma=IM005&lang=1 |
2015-17 |
Metropolitan areas |
|
Finland |
Statistics Finland, Numbers and income of dwelling population and household-dwelling units by Municipality, Year and Data : http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__tul__tjkt/statfin_tjkt_pxt_001.px/?rxid=97f42fff-900d-4ede-bb39-1dab702e3f82 |
2015-16 |
Metropolitan areas |
|
France |
INSEE, Dispositif Fichier Localisé social et fiscal, Distribution des niveaux de vie et composition du revenu disponible: https://www.insee.fr/fr/statistiques/3126432 |
2012-14 |
Metropolitan areas |
|
Germany |
Statistische Ämte des Bundes und der Länder, Lohn und Einkommenssteuer : https://www.govdata.de/sr_RS_latin/web/guest/daten/-/details/stlae-service-73111-01-01-5 |
2013 |
Metropolitan areas |
|
Hungary |
Hungarian Ministry of Finance. Net personal income per municipality (data provided by Hungarian Ministry of Finance) |
2014-16 |
Metropolitan areas |
|
Iceland2 |
n.a. |
- |
- |
|
Israel |
Central Bureau of Statistics- Income Survey |
2015 |
2 |
|
Italy |
Ministry of Economy and Finance, Dichiarazioni fiscali: http://www1.finanze.gov.it/finanze3/pagina_dichiarazioni/dichiarazioni.php |
2014-16 |
Metropolitan areas |
|
Japan |
Statistics Bureau of Japan, Ministry of Internal Affairs and Communications |
2013 |
2 |
|
Korea |
Statistics Korea, KOSIS database - Korean Regional Accounts |
2015 |
2 |
|
Mexico2 |
- INEGI, Household Income and Expenditure National Survey Socioeconomic Conditions Module (MCS) - CONEVAL (Consejo Nacional de Evaluacion de la Politica de Desarrollo Social), Ingreso corriente total per cápita (ICTPC) mensual promedio, por municipio (sent by CONEVAL) |
2016 2015 |
2 Metropolitan areas |
|
Netherlands |
Statistics Netherlands, Huishoudensinkomen naar postcode: https://www.cbs.nl/nl-nl/maatwerk/2018/15/huishoudensinkomen-naar-postcode4-2014-2015 |
2014-15 |
Metropolitan areas |
|
New Zealand |
Statistics New Zealand. Household income by region |
2016 |
2 |
|
Norway |
- Statistics Norway, Regional Accounts. Table: 09797: Households’ income - Statistics Norway, Tax statistics for individual tax payers: https://www.ssb.no/en/statbank/table/05854?rxid=33b51e87-8ceb-4b4e-943b-98942afa6081 Income intervals, by gender. Number of residents 17 years and older: https://www.ssb.no/en/statbank/table/08411/?rxid=4f133c74-017f-4b49-bb77-a2867e8b2f12 |
2016 2014-16 |
2 Metropolitan areas |
|
Sweden |
Statistics Sweden, Income and Tax Statistics: http://www.statistikdatabasen.scb.se/pxweb/sv/ssd/START__HE__HE0110__HE0110A/SamForvInk1/?rxid=660355cb-8963-4b2b-a355-c531348d6192 |
2014-16 |
Metropolitan areas |
|
Switzerland2 |
n.a. |
- |
- |
|
Turkey |
n.a. |
- |
- |
|
United Kingdom |
Office for National Statistics, Small area income estimates for middle layer super output areas, England & Wales: https://www.ons.gov.uk/employmentandlabourmarket/peopleinwork/earningsandworkinghours/datasets/smallareaincomeestimatesformiddlelayersuperoutputareasenglandandwales |
2014;16 |
Metropolitan areas |
|
United States |
- U.S. Bureau of Economic Analysis, Table SA51 Disposable Personal Income American Community Survey - United States Census Bureau, Aggregate household income in the past 12 months, 5-year estimates: https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?pid=ACS_16_5YR_B19025&prodType=table |
2016 2015-16 |
2 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 in kind social transfers to households. A preferable measure of the material condition of households at regional level could be ‘adjusted disposable income’ which also reallocates income from government and non-profit institutions benefitting households, through expenditure on individual goods and services such as health, education and social housing (in-kind expenditure). Interregional disparities in terms of adjusted household income could shed light on possible areas of social exclusion, material deprivation and lack of access to essential services. |
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← 1. EU21 countries. Latest year available: 2016 for Austria, Bulgaria, Czech Republic, Denmark, Italy and Slovenia; 2015 for Finland, France, Germany, Greece, Hungary, Ireland, Netherlands, Poland, Portugal, Romania, Slovak Republic, Spain, Sweden and United Kingdom; 2014 for Belgium. |
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← 2. Iceland and Switzerland: data are not available at the regional level. |
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|
Households with an Internet broadband connection
|
|||
|---|---|---|---|
|
Country |
Source |
Year |
Territorial Level |
|
EU20 countries1 |
Eurostat, Regional information society statistics, table isoc_r_broad_h |
2017 |
2 |
|
Australia |
Australian Bureau of Statistics (ABS), Household Use of Information Technology, Australia, 2012-13 (cat. no. 8146.0), Financial year |
2015 |
2 |
|
Canada |
Statistics Canada, CANSIM (database), Table 203 00272 Survey of household spending (SHS) |
2015 |
2 |
|
Chile |
INE, Chile, National Statistical Institute |
2013 |
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 |
2015 |
2 |
|
Japan |
Statistics Bureau, Ministry of Internal Affairs and Communications, Japan |
2015 |
2 |
|
Korea |
Korean Ministry of Science, ICT and Future Planning - Survey on the Internet Usage (MSIP, KISA) |
2016 |
2 |
|
Mexico |
INEGI-Módulo, Availability and Use of Information Technologies in Households (MODUTIH) |
2016 |
2 |
|
New Zealand |
Statistics New Zealand: The household Use of Information and Communication Technology (ICT) Survey |
2012 |
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 |
2017 |
2 |
|
Turkey |
Eurostat, Regional information society statistics, table isoc_r_broad_h |
2013 |
2 |
|
United States |
Census Bureau, American Community Survey (ACS), 1-year estimates, table S1501 |
2015 |
2 |
|
Russian Federation |
Federal State Statistics Service (Rosstat), sample survey on budget of households |
2015 |
2 |
|
Tunisia |
INS |
2014 |
2 |
|
South Africa |
Statistics South Africa, General Household Survey |
2013 |
2 |
|
← 1. EU20 refers to Austria, Belgium, Bulgaria, Czech Republic, Denmark, Finland, France, Germany, Hungary, Ireland, Italy, Netherlands, Poland, Portugal, Romania, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom. |
|||
|
Housing expenditure as a share of household disposable income
|
|||
|---|---|---|---|
|
Country |
Source |
Year |
Territorial level |
|
Australia |
Australia Bureau Statisitics; Table 4130.0 |
2015 |
2 |
|
Austria |
Statistics Austria, EU-SILC |
2015 |
2 |
|
Belgium |
Household Budget Survey |
2014 |
2 |
|
Canada |
Statistics Canada; CANSIM, Table 203-0022 |
2016 |
2 |
|
Chile |
n.a. |
- |
- |
|
Czech Republic |
n.a. |
- |
- |
|
Denmark |
Statistics Denmark; Household Budget Survey, Tables FU51 and FU6 |
2016 |
2 |
|
Finland |
Statistics Finland; Table ktutk_003_201600 |
2016 |
2 |
|
France |
n.a. |
- |
- |
|
Germany |
n.a. |
- |
- |
|
Greece |
n.a. |
- |
- |
|
Hungary |
Hungarian Central Statistical Office. Representative household survey |
2015 |
2 |
|
Iceland |
n.a. |
- |
- |
|
Ireland |
Household Budget Survey, Tables HS067 and HS068 |
2015 |
2 |
|
Israel |
Central Bureau of Statistics Israel, Household Expenditure survey |
2015 |
2 |
|
Italy |
OECD estimates based on ISTAT - Household Budget Survey |
2015 |
2 |
|
Japan |
OECD estimates based on Monthly spending on housing data, Table 11 |
2013 |
2 |
|
Korea |
n.a. |
- |
- |
|
Mexico |
n.a. |
- |
- |
|
Netherlands |
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 |
2016 |
2 |
|
Slovenia |
n.a. |
- |
- |
|
Spain |
OECD estimates based on INE - Household Budget Survey; Table-10722 |
2015 |
2 |
|
Sweden |
n.a. |
- |
- |
|
Switzerland |
Household Budget Survey (3-year-pooled sample) |
2013 |
2 |
|
Turkey |
Household Budget Survey |
2013 |
2 |
|
United Kingdom |
Office for National Statistics; Table A35 |
2016 |
2 |
|
United States |
n.a. |
- |
- |
|
Income segregation in cities
|
|||
|---|---|---|---|
|
Country |
Census authority |
Years |
Areal unit definition |
|
Australia |
Australian Bureau of Statistics, Census DataPacks - http://www.abs.gov.au/websitedbs/censushome.nsf/home/datapacks |
2010-15 |
Statistical Area level 1 |
|
Brazil |
Instituto Brasileiro de Geografía e Estatística.
|
2010 |
Setores Censitarios |
|
Canada |
Statistics Canada - National Household Survey. |
2011 2016 |
Census tract and district |
|
Denmark |
Dansk Demografisk Database. |
2013 |
Sogne |
|
France |
Institut National de la Statistique et des études économique. |
2006-14 |
IRIS and municipality |
|
Ireland |
Central Statistics Office. |
2006-16 |
Census enumeration area |
|
Mexico |
Instituto Nacional de Estadística y Geografía (INEGI) |
2000 |
AGEB |
|
Netherlands |
Statistics Netherlands. |
2008 |
Neighbourhood |
|
New Zealand |
Statistics New Zealand. |
2001-13 |
Mesh block / area unit |
|
South Africa |
Statistics South Africa |
2011 |
Small Area |
|
United Kingdom |
Office for National Statistics. Data file |
2001-11 |
Output areas |
|
United States |
U.S. Census Bureau.
|
2000-10 |
Census tract |
|
United States |
|
2016 |
Census tract |
|
Labour force, employment at place of residence by gender, unemployment
|
|||
|---|---|---|---|
|
Country |
Source |
Year |
Territorial level |
|
EU21 countries1 |
Eurostat, Regional Labour Market statistics (reg_lmk) |
2000-17 |
2 |
|
Australia |
Australian Bureau of Statistics; Table 6291.0.55.001 |
2000-17 |
2 |
|
Canada |
Statistics Canada; CANSIM, Table 282-0002 |
2000-17 |
2 |
|
Chile |
INE, New National Employment Survey |
2010-16 |
2 |
|
Iceland |
Statistics Iceland |
2000-15 |
2 |
|
Israel |
Central Bureau of Statistics Israel |
2000-16 |
2 |
|
Japan |
Statistics Bureau of Japan, Labour Force Survey |
2001-15 |
2 |
|
Korea |
Statistics Korea, Economically Active Population Survey & Local Area Labour Force Survey |
2000-16 |
2 |
|
Mexico |
INEGI, National Survey of Occupation and Employment |
2000-16 |
2 |
|
New Zealand |
Statistics New Zealand, Household Labour Force Survey |
2000-16 |
2 |
|
Norway |
Statistics Norway |
2000-17 |
2 |
|
Switzerland |
Federal Statistical Office of Switzerland, Structural Labour Force Survey |
2000-17 |
2 |
|
Turkey |
TURKSTAT, Household Labour Force Survey Revised Results |
2008-17 |
2 |
|
United States |
U.S. Bureau of Labor Statistics, Local Area Unemployment Statistics program |
2000-17 |
2 |
|
Colombia |
DANE, Great integrated Household Survey |
2001-16 |
2 |
|
Peru |
National Institute of Statistics and Informatics, National Household Survey |
2001-14 |
2 |
|
Russian Federation |
Federal State Statistics Service, Labour force Survey |
2000-15 |
2 |
|
South Africa |
Statistics South Africa; Quarterly Labour Force Survey, Table P0211 |
2000-14 |
2 |
|
Tunisia |
INS |
2014 |
2 |
|
← 1. EU21 countries: Austria, Belgium, Bulgaria, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Netherlands, Poland, Portugal, Romania, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom. |
|||
|
2. New Zealand: Gisborne/Hawke’s Bay combined (NZ016 included in NZ015) and Tasman / Nelson/ Marlborough / West Coast combined (NZ022 included in NZ021). |
|||
|
Labour force by educational attainment
|
|||
|---|---|---|---|
|
Country |
Source |
Year |
Territorial Level |
|
EU24 countries1, plus Norway and Switzerland |
Eurostat, Labour Force Survey, Regional education statistics |
2000-17 |
2 |
|
Australia2 |
Australian Bureau of Statistics, Table 6227.0 Education and Work, LFS |
2010-15 |
2 |
|
Canada3 |
Statistics Canada. CANSIM (database), Table 282-0004 - Labour force survey estimates (LFS), by educational attainment, gender and age group, annual |
2000-16 |
2 |
|
Chile4 |
INE Chile, New National Employment Survey |
2009-15 |
2 |
|
Iceland7 |
Statistics Iceland Labour force survey. Educational attainment of the population 25-64 years old |
2003-12 |
2 |
|
Israel |
Central Bureau of Statistics Israel |
2000-16 |
2 |
|
Japan7 |
Statistics Bureau, 1990, 2000 and 2010 Population Census |
2000-10 |
2 |
|
Korea2 |
KOSIS, Economically Active Population Survey |
2000-16 |
2 |
|
Mexico |
INEGI, National Population and Housing Censuses |
2000-15 |
2 |
|
New Zealand |
Statistics New Zealand. Household Labour Force Survey |
2000-16 |
2 |
|
Turkey5 |
TURKSTAT, Household Labour Force Survey Revised Results |
2006-17 |
2 |
|
United States6 |
Census Bureau, American Community Survey (ACS), 1-year estimates, table S1501 |
2000-16 |
2 |
|
Colombia |
DANE, Great integrated household survey (GEIH for its acronym in Spanish) |
2005-16 |
2 |
|
Russian Federation |
Federal State Statistics Service (Rosstat), Labour force Survey, population in age 15-72 years old |
2000-15 |
2 |
|
South Africa |
Statistics South Africa, General Household Survey |
2002-15 |
2 |
|
Tunisia |
INS |
2014 |
2 |
|
← 1. EU24 refers to Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Luxembourg, Netherlands, Poland, Portugal, Romania, Slovak Republic, Slovenia, Spain, Sweden and United Kingdom (except Northern Ireland). Data refer to the labour force aged 15 and over. Denmark 2007-17; Finland and Italy 2005-17; Slovenia 2010-17. |
|||
|
← 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. |
|||
|
Life expectancy at birth, total and by gender
|
|||
|---|---|---|---|
|
Country |
Source |
Year |
Territorial level |
|
EU91 |
Eurostat, Regional Demographic Statistics |
2015 |
2 |
|
Australia |
Australian Bureau of Statistics; Table 3302.0 |
2015 |
2 |
|
Austria |
Statistics Austria |
2016 |
2 |
|
Canada2 |
Statistics Canada; CANSIM, Table 053-0003 |
2014 |
2 |
|
Chile |
INE |
2016 |
2 |
|
Czech Republic |
Czech Statistical Office |
2016 |
2 |
|
Denmark |
Statistics Denmark; Table HISBR |
2015 |
2 |
|
Estonia |
Statistics Estonia; Table PO0452 |
2015 |
3 |
|
Finland |
Statistics Finland |
2015 |
2 |
|
Germany |
Federal Office of Germany and the Statistical Offices of the Federal States |
2015 |
2 |
|
Greece |
Hellenic Statistical Authority |
2015 |
2 |
|
Hungary |
Hungarian Central Statistical Office |
2015 |
2 |
|
Iceland3 |
n.a. |
- |
- |
|
Israel |
Central Bureau of Statistics |
2016 |
2 |
|
Italy |
Istat; Table P.5 |
2015 |
2 |
|
Japan4 |
Statistics Bureau of Japan, MIC, Population Census |
2010 |
2 |
|
Korea |
Statistics Korea; Kosis, Life tables by Provinces |
2014 |
2 |
|
Mexico5 |
National Institute of Statistics and Geography (INEGI) |
2016 |
2 |
|
New Zealand6 |
Statistics New Zealand |
2013 |
2 |
|
Poland |
Central Statistical Office of Poland |
2015 |
2 |
|
Portugal |
Statistics Portugal |
2016 |
2 |
|
Slovak Republic |
Statistical Office of the SR |
2015 |
2 |
|
Spain7 |
INE |
2016 |
2 |
|
Turkey |
Eurostat, Regional Demographic Statistics |
2015 |
2 |
|
United States8 |
Measure of America |
2010 |
2 |
|
Colombia |
DANE |
2016 |
2 |
|
Russian Federation |
Federal State Statistics Service |
2015 |
2 |
|
← 1. EU9 refers to Belgium, France (mainland with 22 regions), 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 deceased person 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 from data from complete life tables. |
|||
|
← 7. Spain: Data exclude Ceuta and Melilla |
|||
|
← 8. 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. |
|||
|
Metropolitan population
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
EU22 countries1 |
|||
|
Australia |
European Commission, Joint Research Centre (JRC); Columbia University, Center for International Earth Science Information Network - CIESIN (2015): GHS population grid, derived from GPW4, multitemporal (1975, 1990, 2000, 2015). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-ghsl-ghs_pop_gpw4_globe_r2015a |
2014 |
FUA, Metropolitan area |
|
Canada |
|||
|
Chile |
|||
|
Japan |
|||
|
Korea |
|||
|
Mexico |
|||
|
Norway |
|||
|
Switzerland |
|||
|
United States |
|||
|
Colombia |
|||
|
Population in metropolitan areas is estimated by adding the population per square kilometre (of the GHS population grid) within the metropolitan boundaries. |
|||
|
← 1. EU22 countries: Austria, Belgium, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Luxembourg, Netherlands, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden and the United Kingdom |
|||
|
Motor vehicle theft
|
|||
|---|---|---|---|
|
Country |
Source |
Year |
Territorial Level |
|
Australia |
Australian Bureau of Statistics (ABS), Recorded Crime - Victims, Australia (cat. no. 4510.0) |
2015 |
2 |
|
Austria |
Statistics Austria, Crime Statistics |
2016 |
2 |
|
Belgium |
Belgian Federal Police |
2016 |
2 |
|
Canada1 |
Statistics Canada. CANSIM database, Table 252-0051 |
2016 |
2 |
|
Chile2 |
INE, Chile. Undersecretariat of Crime Prevention, Ministry of Interior and Public Safety. |
2016 |
2 |
|
Czech Republic |
Czech Statistical Office CZSO, Police of the Czech Republic |
2016 |
2 |
|
Germany |
Federal Criminal Office, Spatial Monitoring of the BBSR. German Police Crime Statistics (PCS) |
2016 |
2 |
|
Denmark |
Statistics Denmark, StatBank Table STRAF11: Reported criminal offences, Theft of vehicles series |
2016 |
2 |
|
Estonia |
Estonian Ministry of Justice |
2016 |
2 |
|
Finland |
Statistics Finland, Justice statistics |
2016 |
2 |
|
France3 |
INSEE, Etat 4001 annuel, DCPJ. |
2016 |
2 |
|
Greece |
n.a. |
2016 |
2 |
|
Hungary |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2016 |
2 |
|
Ireland |
CSO, StatBank Ireland. Table CJQ02: Recorded Crime Offences by Garda Region |
2016 |
2 |
|
Iceland |
n.a. |
- |
- |
|
Israel |
Central Bureau of Statistics Israel |
2016 |
2 |
|
Italy |
ISTAT. Crimes reported by the police forces to the judicial authority MetaData : Crimes in total by type of crime |
2013 |
2 |
|
Japan |
National Police Agency Criminal Statistics. Publications of the Police Policy Research Center |
2015 |
2 |
|
Korea |
n.a. |
- |
- |
|
Latvia |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2015 |
2 |
|
Luxembourg |
n.a. |
- |
- |
|
Mexico |
INEGI National Census, State Justice Attorney data |
2015 |
2 |
|
New Zealand4 |
Statistics New Zealand, Annual Recorded Offences for the latest Calendar Years (ANZSOC) |
2014 |
2 |
|
Netherlands |
n.a. |
- |
- |
|
Norway |
n.a. |
- |
- |
|
Poland |
National Police Headquarters of Poland |
2016 |
2 |
|
Portugal |
Ministry of Justice of Portugal - Directorate-General for Justice Policy, motor vehicle theft crimes recorded by the police. |
2014 |
2 |
|
Slovak Republic5 |
Statistical Office of the Slovak Republic, regional database |
2014 |
2 |
|
Slovenia |
OECD Regional Questionnaire; information provided by the delegate of the Working Party of Territorial Indicators (WPTI) |
2012 |
2 |
|
Spain |
National Institute of Statistics / Instituto Nacional de Estadística (INE) |
2016 |
2 |
|
Sweden |
Swedish National Council for Crime Prevention (Brå). |
2014 |
2 |
|
Switzerland6 |
Federal Statistical Office (FSO). Police crime statistics |
2016 |
2 |
|
Turkey |
General Directorate of Security, General Commandership of Gendarme |
2016 |
2 |
|
United Kingdom |
n.a. |
- |
- |
|
United States |
Federal Bureau of Investigation, Crime in the United States. Table 4, by Region, Geographic Division and State |
2013 |
2 |
|
Colombia |
Policía Nacional, Colombia |
2016 |
2 |
|
Peru |
Ministerio del Interior - Oficina Estadística de la Policía Nacional del Perú y Dirección General de Gestión en Tecnologías de Información y Comunicación. |
2016 |
2 |
|
Russian Federation |
Federal State Statistics Service (Rosstat), datra according to the law-enforcement authorities |
2014 |
2 |
|
← 1. Canada: total theft of motor vehicle, actual incidents. |
|||
|
← 2. Chile: data based on crimes known by police (called “casos policiales” in Spanish) excluding 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. 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. |
|||
|
← 5. Slovak Republic: since 2005, data on NUTS 1 level do not necessarily match the sum of NUTS 2 level data because NUTS 1 data also include regionally unspecified offences recorded by Railway Police, Military Police, Corps of Prison and Court Guard, and Customs Director. |
|||
|
← 6. 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. |
|||
|
Patents
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
OECD REGPAT Database |
1990-2015 |
2 and 3 |
|
|
← 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 come from the WIPO-administered Patent Co-operation Treaty (PCT) which provides for the filing of a single international patent application that 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. |
|||
|
PM2.5 particles concentration
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
All countries |
Data collected from OECD (2017) “Exposure to Air Pollution”, OECD Environment Statistics (database) https://doi.org/10.1787/96171c76-en, data computation based on van Donkelaar, A., R.V Martin, M.Brauer, N. C. Hsu, R. A. Kahn, R. C Levy, A. Lyapustin, A. M. Sayer, and D. M Winker (2016), “Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors”, Environ. Sci. Technol, http://pubs.acs.org/doi/abs/10.1021/acs.est.5b05833 |
2000-15 |
2, metropolitan areas |
|
Population mobility among regions (total and young)
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
Australia1 |
Australian Bureau of Statistics (ABS), ABS.Stat |
2013-15 |
3 |
|
Austria |
Statistics Austria, Migration statistics |
2014-16 |
3 |
|
Belgium |
FPS Economie/Statistics Belgium |
2013-15 |
3 |
|
Canada |
Statistics Canada. Cansim Table 051-0012 |
2014-16 |
2 |
|
Chile6 |
n.a. |
- |
- |
|
Czech Republic |
Czech Statistical Office CZSO |
2014-16 |
3 |
|
Denmark |
Statistics Denmark, StatBank, table FLY55 |
2014-16 |
3 |
|
Estonia |
Statistics Estonia, Statistical database, table POR06 |
2013-15 |
3 |
|
Finland |
Statistics Finland, Population Statistics, Migration |
2014-16 |
3 |
|
France6 |
n.a. |
- |
- |
|
Germany |
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 |
2013-15 |
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 |
2014-16 |
3 |
|
Iceland |
Statistics Iceland, Internal migration |
2012-14 |
3 |
|
Ireland6 |
n.a. |
- |
- |
|
Israel |
Central Bureau of Statistics Israel |
2014-16 |
2 |
|
Italy |
Istat, Iscrizioni e cancellazioni anagrafiche (changes of residence from/to italian municipalities) |
2011-13 |
3 |
|
Japan |
Statistics Bureau, Migrants by prefecture derived from the Basic Resident Registers |
2014-16 |
3 |
|
Korea2 |
Statistics Korea, KOSIS database - Internal Migration Statistics |
2014-16 |
3 |
|
Latvia |
Central Statistical Bureau of Latvia |
2013-15 |
3 |
|
Lithuania |
Statistics Lithuania, Data sources – the State Enterprise Centre of Registers, the Population Register; the Ministry of the Interior. |
2013-15 |
3 |
|
Mexico |
INEGI. Censo de población y vivienda 2010 |
2015 |
3 |
|
Netherlands |
Statistics Netherlands on Statline |
2008-10 |
2 |
|
New Zealand6 |
Statistics New Zealand. Census of Population and Dwellings |
2013 |
3 |
|
Norway |
Statistics Norway. Statbank, table 01222: Population change (M) |
2013-15 |
3 |
|
Poland |
Central Statistical Office of Poland, PESEL register |
2014-16 |
3 |
|
Portugal3 |
Statistics Portugal (INE), Census 2001 and 2011 |
2011 |
3 |
|
Slovak Republic |
Statistical Office of the SR |
2014-16 |
3 |
|
Slovenia |
Statistical Office of the Republic of Slovenia, Ministry of the Interior - Central Population Register, Ministry of the Interior - Administrative Internal Affairs Directorate |
2009-11 |
3 |
|
Spain |
INE - Data provided by the delegate of the OECD Working Party on Territorial Indicators |
2014-16 |
3 |
|
Sweden |
Statistics Sweden, Central Office for Administrative and Electronic Public Services registration system |
2014-16 |
3 |
|
Switzerland |
Swiss Federal Statistical Office, 1990 to 2010: Annual Population Statistics (ESPOP), from 2011 onwards: Population and Households Statistics (STATPOP) |
2014-16 |
3 |
|
Turkey |
Turkish Statistical Institute (TurkStat), Address Based Population Registration System |
2013-15 |
3 |
|
National Statistical Office, Population Estimates |
2013-15 |
3 |
|
|
United States5 |
Secretariat’s calculation using Internal Revenue Service (IRS) Individual Master File, Statistics of Income. |
2009-11 |
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 |
2013-15 |
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 of 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. Chile, France and Ireland data not available at regional level. |
|||
|
← 7. Scotland and Northern Ireland not included in young immigrants data at regional level. |
|||
|
Population: Total, by age and gender
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial Level |
|
EU25 countries1 |
Eurostat, regional statistics, population at 1 January, table demo_r_pjangrp3 |
2000-17 |
3 |
|
Australia |
Australian Bureau of Statistics, cat. no. 3235.0, Population Estimates by Age and Sex, Regions of Australia (ASGS 2011), population at 30 June |
2001-16 |
3 |
|
Canada |
Statistics Canada. CansimTable 051-0062. Population Estimates based on Standard Geographical Classification 2011, population at 1 July |
2000-16 |
3 |
|
Chile1 |
INE, Chile. Population projection and estimates by sex and age. 1990-2020, average annual population |
2000-17 |
3 |
|
Iceland |
Statistics Iceland, population at 1 of January by municipality |
2000-16 |
3 |
|
Israel2 |
Central Bureau of Statistics Israel |
2000-17 |
3 |
|
Japan |
Statistics Bureau, Current Population Estimates as of 1 October |
2001-16 |
3 |
|
Korea |
Statistics Korea, KOSIS database, yearly average projected population by age, population at 1 October |
2001-16 |
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 |
|
New Zealand |
Statistics New Zealand, Population Statistics. Boundaries at 1 January 2013. NZ.DOTSTAT (Tablecode 7501), population at 30 June |
2000-16 |
3 |
|
Norway |
Statistics Norway, population at 1 January; 2014 data collected from Eurostat |
2000-17 |
3 |
|
Switzerland2 |
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 |
2000-17 |
3 |
|
Turkish Statistical Institute (TurkStat). The source of 2007-17 data is Address Based Population Registration System (ABPRS) and de jure population |
2001-13 |
3 |
|
|
United States |
United States Census Bureau - State and County Population Estimates, Table PEPAGESEX, population at 1 July |
2000-16 |
3 |
|
Brazil |
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. |
2000-16 |
2 |
|
Lithuania |
Eurostat regional statistics, population on 1 January, table demo_r_pjangrp3 |
2000-17 |
3 |
|
Peru |
2000-15 |
2 |
|
|
Russian Federation |
Federal State Statistics Service (Rosstat). Number of de-jure (resident) population on subjects of the Russian Federation |
2000-15 |
2 |
|
Tunisia |
Statistiques Tunisie (INS) |
2001-16 |
3 |
|
South Africa |
Statistics South Africa, population estimates for the period 2002-2017 based on 2011 Census |
2002-15 |
2 |
|
← 1. First available year for population by age: Chile and Romania; 2002; Netherlands 2003; Turkey 2008 |
|||
|
← 2. Population at 31 December restated at 1 January of the following year by the OECD. |
|||
|
Research and development (R&D) expenditure and personnel
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
EU251 |
Eurostat, Regional Science and technology Statistics, R&D expenditures and personnel, Total intramural R&D expenditure (GERD) by sector of performance and region. |
2001-15 |
2 |
|
Australian Bureau of Statistics, tables: 8104.0 - Research and Experimental Development, Businesses 8109.0 - Research and Experimental Development, Government and Private Non-Profit Organisations 8111.0 - Research and Experimental Development, Higher Education Organisations |
2000-15 |
2 |
|
|
Canada2 |
Statistics Canada. CANSIM database, Table 358-0001 - Gross domestic expenditures on research and development, by performer sector |
2000-15 |
2 |
|
Chile2 |
Instituto Nacional de Estadísticas (INE) Chile, Survey of Expenditure and Personnel in R&D |
2009-16 |
2 |
|
Iceland |
n.a. |
- |
- |
|
Israel2 |
Central Bureau of Statistics |
2007-08 |
2 |
|
Japan |
n.a. |
- |
- |
|
Korea2 |
Korea Institute of Science and Technology Evaluation and Planning (KISTEP) |
2000-16 |
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 perform qance and region. |
2001-15 |
2 |
|
Switzerland |
Eurostat, Regional Science and Technology Statistics, R&D expenditures and personnel, Total intramural R&D expenditure (GERD) by sector of performance and region. |
2008;2012 |
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. |
2000-14 |
2 |
|
Methodology 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. Gross Domestic Expenditure on R&D (GERD) is the total domestic 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 includes all firms, organisations 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, organisations and institutions. The Government sector includes all departments, offices and other bodies that provide, 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. 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. The private non-profit sector includes non-market, private non-profit institutions serving the general public, private individuals and households. |
|||
|
← 1. EU-25 countries: Austria, Belgium, Bulgaria, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Netherlands, Poland, Portugal, Romania, Slovak Republic, Slovenia, Spain, Sweden, and the United Kingdom. First available year: 2001 for Czech Republic; 2002 for Austria, Belgium and Ireland; 2003 for Germany and Slovenia, 2005 for Netherlands and United Kingdom; 2007 for Denmark. |
|||
|
← 2. Data collected from OECD, Research and Development Statistics Database, http://oe.cd/rds, April 2018. |
|||
|
← 3. Australia: 2015 R&D Business expenditures for Australia refer to the 2015-16 fiscal year. |
|||
|
4. Switzerland: only Business R&D expenditure. |
|||
|
Rooms per person (number of)
|
|||
|---|---|---|---|
|
Country |
Source |
Year |
Territorial level |
|
Australia |
Australia Bureau of Statistics, table 4130.0 |
2016 |
2 |
|
Austria |
Statistics Austria, Microcensus Housing Survey |
2016 |
2 |
|
Belgium |
Eurostat, Regional Statistics |
2012 |
2 |
|
Canada |
Statistics Canada |
2011 |
2 |
|
Chile |
n.a. |
2002 |
- |
|
Czech Republic |
Czech Statistical Office, EU SILC |
2016 |
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 |
2016 |
2 |
|
Greece |
Hellenic Statistical Authority, Population - Housing Census |
2011 |
NUTS 1 |
|
Hungary |
Hungarian Central Statistical Office, Population micro-census. |
2016 |
2 |
|
Iceland |
n.a. |
- |
- |
|
Ireland |
Eurostat, Regional Statistics |
2012 |
2 |
|
Israel |
Central Bureau of Statistics Israel |
2016 |
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) |
2015 |
2 |
|
Netherlands |
Eurostat, Regional Statistics |
- |
- |
|
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 |
2016 |
2 |
|
Slovenia |
Information provided by the delegate of the Working Party on Territorial Indicators |
2012 |
2 |
|
Spain |
National Institute of Statistics / Instituto Nacional de Estadística (INE). Survey of Living Conditions (LFS) |
2016 |
2 |
|
Sweden |
Eurostat, Regional Statistics |
2012 |
2 |
|
Switzerland |
Federal Statistical Office, GWS |
2015 |
2 |
|
Turkey |
Information provided by the delegate of the Working Party on Territorial Indicators |
2014 |
2 |
|
United Kingdom (1) |
Eurostat, Regional Statistics |
2011 |
2 |
|
United States |
OECD estimates based on American Community Survey (ACS), Tables B25017 and B25008 |
2016 |
2 |
|
Tunisia |
INS |
2014 |
2 |
|
1. United Kingdom: Regional values available except for Scotland |
|||
|
Subnational government expenditure, revenue, investment and debt
|
|||
|---|---|---|---|
|
Country |
Source |
Years |
Territorial level |
|
OECD National Accounts |
2016 |
- |
|
|
← 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. They are complemented by data from Eurostat, IMF (Chile) and national statistical institutes for some countries or indicators (in particular, territorial organisation). 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. 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. |
|||
|
← 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: the 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
|
|||
|---|---|---|---|
|
Country |
Source |
Last Year |
Territorial level |
|
Australia |
Australian Electoral Commission. Federal election |
2016 |
2 |
|
Austria |
Austrian Federal ministry of interior, parliamentary elections |
2013 |
2, 3 |
|
Belgium |
Federal Portal of Belgium. Parliamentary elections |
2014 |
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, 3 |
|
Denmark |
Danish general election - http://electionresources.org/dk/data |
2015 |
2, 3 |
|
Finland |
Statistics Finland, Presidential elections, second round |
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, 3 |
|
Iceland |
Results of general elections - www.statice.is/statistics/population/elections/general-elections |
2013 |
2, 3 |
|
Ireland |
Houses of the Oireachtas - www.oireachtas.ie |
2011 |
2, 3 |
|
Israel |
Central Bureau of Statistics Israel |
2015 |
2, 3 |
|
Italy |
Ministero dell’interno, Dipartimento per gli Affari Interni e Territoriali. Servizi Elettorali |
2013 |
2 |
|
Japan |
Statistics Bureau (2014: Representatives elections) |
2014 |
2, 3 |
|
Korea |
Korean National Election Commission |
2012 |
2, 3 |
|
Mexico |
INEGI, general elections |
2015 |
2 |
|
Netherlands |
Dutch Electoral Council (Kiesraad) - www.kiesraad.nl |
2012 |
2 |
|
Norway |
Statistics Norway |
2017 |
2, 3 |
|
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, 3 |
|
Slovak Republic |
Statistical Office of the SR |
2016 |
2, 3 |
|
Slovenia |
Republic of Slovenia Early elections for deputies to the National Assembly |
2014 |
2 |
|
Spain |
INE |
2016 |
2, 3 |
|
Sweden |
Swedish Election Authority |
2014 |
2, 3 |
|
Switzerland |
Statistique suisse - www.politik-stat.ch/nrw2015wb_fr.html |
2015 |
2, 3 |
|
Turkey |
Data sent by the Turkish delegate of the OECD Working Party on Territorial Indicators |
2015 |
2, 3 |
|
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 |
2016 |
2 |