description:
This dataset provides statistics on employment rates by level of education in large regions (TL2).

Data definition and source

Employment rate is measured by the number of persons employed aged 25 to 64 and 25-34 year-olds over the population of the respective age, broken down education level. The education level is defined as the highest grade completed within the most advanced level attended in the educational system of the country where the education was received. Educational attainments are internationally standardised with the ISCED-2011 classification: ISCED 0-2 (elementary), 3-4 (secondary), 5-8 (tertiary).

Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

name: Employment by level of education - Regions


Students enrolment - Regions

COUNTRY: Country

DECIMALS: Decimals

OBS_STATUS: Observation status

UNIT_MULT: Unit multiplier

[A] America

A2: Northern America

A2XOECD: Non-OECD Northern America

A2_A3_X: Northern and Central America unspecified

A2_X: Northern America unspecified

A3: Central America

A3_X: Central America unspecified

A4: Caribbean

A4_X: Caribbean unspecified

A5: Central America and the Caribbean

A5M: Major five Asia economies

A5XOECD: Non-OECD Central America and Caribbean

A5_A7: South and Central America

A5_X: Central America and the Caribbean unspecified

A7: South America

A7XOECD: Non-OECD South America

A7_X: South America unspecified

A8: Latin America

A8_M: Main Latin American countries

A9: Latin America and the Caribbean

A9_X: Latin America and the Caribbean unspecified

ABW: Aruba

ACP: ACP

AES: Advanced economies

AFG: Afghanistan

AGO: Angola

AIA: Anguilla

ALA: Åland

ALB: Albania

AND: Andorra

ANNEX1: Annex I of the United Nations Framework Convention on Climate Change Parties

ANNEX2: Annex II of the United Nations Framework Convention on Climate Change Parties

ANNEX2A2: Annex II of the United Nations Framework Convention on Climate Change North America Parties

ANNEX2E: Annex II of the United Nations Framework Convention on Climate Change Europe Parties

ANNEX2OS: Annex II of the United Nations Framework Convention on Climate Change Asia Oceania Parties

ANT_F: Former Netherlands Antilles

ANT_F_ABW: Former Netherlands Antilles and Aruba

APEC: APEC

ARE: United Arab Emirates

ARG: Argentina

ARM: Armenia

ASEAN: ASEAN

ASM: American Samoa

ATA: Antarctica

ATF: French Southern and Antarctic Lands

ATG: Antigua and Barbuda

AU: African Union

AUS: Australia

AUT: Austria

AXOECD: Non-OECD America

AXOECD_O: Other non-OECD America

AZE: Azerbaijan

A_O: Other America

A_X: America unspecified

BDI: Burundi

BEL: Belgium

BEL_LUX: Belgo-Luxembourg Economic Union

BEN: Benin

BES: Bonaire, Saba, Saint Eustatius

BFA: Burkina Faso

BGD: Bangladesh

BGR: Bulgaria

BHR: Bahrain

BHS: Bahamas

BIH: Bosnia and Herzegovina

BLM: Saint Barthélemy

BLR: Belarus

BLZ: Belize

BMU: Bermuda

BOL: Bolivia

BRA: Brazil

BRB: Barbados

BRN: Brunei Darussalam

BTN: Bhutan

BVT: Bouvet Island

BWA: Botswana

CAF: Central African Republic

CAN: Canada

CCK: Cocos (Keeling) Islands

CEEC: CEEC

CENSAD: Community of Sahel–Saharan States (CEN–SAD)

CHE: Switzerland

CHE_LIE: Switzerland and Liechtenstein

CHL: Chile

CHN: China (People’s Republic of)

CIS: CIS

CIV: Côte d’Ivoire

CMR: Cameroon

COD: Democratic Republic of the Congo

COG: Congo

COK: Cook Islands

COL: Colombia

COM: Comoros

COMESA: Common Market for Eastern and Southern Africa (COMESA)

CPT: Clipperton Island

CPV: Cabo Verde

CRI: Costa Rica

CSK_F: Former Czechoslovakia

CUB: Cuba

CUW: Curaçao

CXR: Christmas Island

CYM: Cayman Islands

CYP: Cyprus

CZE: Czechia

D: Domestic (home or reference area)

DAC: DAC countries

EA00_X: Euro area (evolving composition) unspecified

ECCAS: Economic Community of Central African States (ECCAS)

ECOWAS: Economic Community of West African States (ECOWAS)

EU00_X: European Union (evolving composition) unspecified

EU22OECD_2020: European Union (22 countries) in OECD (from 01/02/2020)

EU25_REP: European Union (25 countries) average country

EU27_2020: European Union (27 countries from 01/02/2020)

EU28XEU15: European Union 28 excluding European Union 15 countries

FSCAC: Fragile states and Conflict-affected countries

HICSXA9: High income countries (excluding Latin American and Caribbean countries)

IGAD: Intergovernmental Authority on Development (IGAD)

INCWB_X: Countries not classified by the World Bank

IPAC: International Programme for Action on Climate Parties

LDCWXF: World outside Africa, least developed countries

LLDCF: Africa, land locked developing countries

LLDCWXF: World outside Africa, landlocked developing countries

LMICWB: Lower-middle income countries (World Bank)

LMICWBF: Africa, lower-middle income countries (World Bank)

LMICWBWXF: World outside Africa, lower-middle income countries (World Bank)

MADCT: More advanced developed countries and territories

MADCT_X: More advanced developed countries and territories unspecified

NRRCFWXF: World outside Africa, non-resource-rich countries

OECDEXEU: Non-European Union countries in OECD Europe

OECDXUSAJPNEA17: OECD countries except USA, JPN and euro area

OLICWBF: Africa, low income countries (World Bank)

OLICWBWXF: World outside Africa, low income countries (World Bank)

PALOP: Portuguese-speaking African countries (PALOP)

PCI_F: Former Pacific Islands (Trust Territory)

PSE: Palestinian Authority or West Bank and Gaza Strip

RRCFWXF: World outside Africa, resource-rich countries

S3: Western Asia / Near and Middle East countries

S3_O: Other Western Asia / Near and Middle East countries

S3_OXOECD: Non-OECD other Western Asia / Near and Middle East countries

SADC: Southern African Development Community (SADC)

SGS: South Georgia and the South Sandwich Islands

SIDSWXF: World outside Africa, small island developing states

UMICWB: Upper-middle income countries (World Bank)

UMICWBF: Africa, upper-middle income countries (World Bank)

UMICWBWXF: World outside Africa, upper-middle income countries (World Bank)

USMCA: United States - Mexico - Canada Agreement (USMCA)

WXANNEX1:
Non-Annex I of the United Nations Framework Convention on Climate

            Change Parties

WXEU00_X: Extra-EU (evolving composition) unspecified

WXEU27_2020: Extra-European Union (27 countries from 01/02/2020)

L: Missing value; data exist but were not collected

description:
This dataset provides statistics on enrolment rates by age in large regions (TL2).

Data definition and source

Enrolment rates are defined as the share of individuals of each age group enrolled in all types of schools and education institutions, including public, private and all other institutions that provide organised educational programmes according to the ISCED 2011 classification, regardless of education level enrolled in (share of individuals enrolled over the population of the same age group). Age groups are defined as 3-5, 6-14, 15-19, 20-29, 30-39 and >40 year-olds.

Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

ISCED11_0T2: Pre-primary, primary and lower secondary education

ISCED11_0T4: Pre-primary, primary, secondary and post-secondary non-tertiary education

ISCED11_1T4: Primary to post-secondary non-tertiary education

ISCED11_1_2: Primary and lower secondary education (basic education)

ISCED11_241: Lower secondary general education, insufficient for level completion or partial level completion, without direct access to upper secondary education

ISCED11_242: Lower secondary general education, sufficient for partial level completion, without direct access to upper secondary education

ISCED11_243: Lower secondary general education, sufficient for level completion, without direct access to upper secondary education

ISCED11_243_244_253_254: Lower secondary education, sufficient for level completion

ISCED11_244: Lower secondary general education, sufficient for level completion, with direct access to upper secondary education

ISCED11_251: Lower secondary vocational education, insufficient for level completion or partial level completion, without direct access to upper secondary education

ISCED11_252: Lower secondary vocational education, sufficient for partial level completion, without direct access to upper secondary education

ISCED11_253: Lower secondary vocational education, sufficient for level completion, without direct access to upper secondary education

ISCED11_254: Lower secondary vocational education, sufficient for level completion, with direct access to upper secondary education

ISCED11_2T4: Lower secondary, upper secondary and post-secondary non-tertiary education

ISCED11_2T8: Lower secondary to tertiary education levels

ISCED11_341: Upper secondary general education, insufficient for level completion or partial level completion, without direct access to tertiary education

ISCED11_342: Upper secondary general education, sufficient for partial level completion, without direct access to tertiary education

ISCED11_342_352: Upper secondary education, partial level completion without direct access to tertiary education

ISCED11_343: Upper secondary general education, sufficient for level completion, without direct access to tertiary education

ISCED11_343_344: Upper secondary general education, sufficient for level completion

ISCED11_343_344_353_354: Upper secondary education, sufficient for level completion

ISCED11_343_353: Upper secondary education, level completion without direct access to tertiary education

ISCED11_344: Upper secondary general education, sufficient for level completion, with direct access to tertiary education

ISCED11_344_354: Upper secondary education, level completion with direct access to tertiary education

ISCED11_34X341: Upper secondary general education, full or partial level completion

ISCED11_34_44: Upper secondary and post-secondary non-tertiary general programmes

ISCED11_351: Upper secondary vocational education, insufficient for level completion or partial level completion, without direct access to tertiary education

ISCED11_352: Upper secondary vocational education, sufficient for partial level completion, without direct access to tertiary education

ISCED11_353: Upper secondary vocational education, sufficient for level completion, without direct access to tertiary education

ISCED11_353_354: Upper secondary vocational education, sufficient for level completion

ISCED11_354: Upper secondary vocational education, sufficient for level completion, with direct access to tertiary education

ISCED11_35SW: Upper secondary vocational education, school and work-based programmes

ISCED11_35X351: Upper secondary vocational education, full or partial level completion

ISCED11_35_45: Upper secondary and post-secondary non-tertiary vocational programmes

ISCED11_3T8: Upper secondary to tertiary education levels

ISCED11_3X341_351: Upper secondary education, full or partial level completion

ISCED11_3_4: Upper secondary and post-secondary non-tertiary all programmes

ISCED11_44: Post-secondary non-tertiary general education

ISCED11_441: Post-secondary non-tertiary general education, insufficient for level completion, without direct access to tertiary education

ISCED11_443: Post-secondary non-tertiary general education, sufficient for level completion, without direct access to tertiary education

ISCED11_443_453: Post-secondary non-tertiary education, level completion without direct access to tertiary education

ISCED11_444: Post-secondary non-tertiary general education, sufficient for level completion, with direct access to tertiary education

ISCED11_444_454: Post-secondary non-tertiary education, level completion with direct access to tertiary education

ISCED11_44X441: Post-secondary non-tertiary general education, sufficient for level completion

ISCED11_45: Post-secondary non-tertiary vocational education

ISCED11_451: Post-secondary non-tertiary vocational education, insufficient for level completion, without direct access to tertiary education

ISCED11_453: Post-secondary non-tertiary vocational education, sufficient for level completion, without direct access to tertiary education

ISCED11_454: Post-secondary non-tertiary vocational education, sufficient for level completion, with direct access to tertiary education

ISCED11_45SW: Post-secondary non-tertiary vocational education, school and work-based programmes

ISCED11_45X451: Post-secondary non-tertiary vocational education, sufficient for level completion

ISCED11_4X441_451: Post-secondary non-tertiary education, sufficient for level completion

ISCED11_541: Short-cycle tertiary general education, insufficient for level completion

ISCED11_544: Short-cycle tertiary general education, sufficient for level completion

ISCED11_544_554: Short-cycle tertiary education, sufficient for level completion

ISCED11_55: Short-cycle tertiary vocational education

ISCED11_551: Short-cycle tertiary vocational education, insufficient for level completion

ISCED11_554: Short-cycle tertiary vocational education, sufficient for level completion

ISCED11_55SW: Short-cycle tertiary vocational education, school and work-based programmes

ISCED11_5T7: Short-cycle tertiary, Bachelor's, Master's or equivalent level

ISCED11_5_6: Short-cycle tertiary education and Bachelor's or equivalent level

ISCED11_641: Bachelor’s or equivalent academic level, insufficient for level completion

ISCED11_641_651_661: Bachelor’s or equivalent level, insufficient for  completion

ISCED11_645: Bachelor’s or equivalent academic level, first degree (3-4 years)

ISCED11_645T647: Bachelor’s or equivalent academic level, sufficient for level completion

ISCED11_645_646_655_656_665_666: Bachelor's or equivalent level, first degrees (more than 3 years)

ISCED11_645_655_665: Bachelor's or equivalent level, first degree (3-4 years)

ISCED11_645_655_665_646_656_666: Bachelor’s or equivalent level, sufficient for level completion and first degrees

ISCED11_646: Bachelor’s or equivalent academic level, long first degree (more than 4 years)

ISCED11_646_656_666: Bachelor's or equivalent level, first long degree (more than 4 years)

ISCED11_647: Bachelor’s or equivalent academic level, second or further degree (following a Bachelor’s or equivalent programme)

ISCED11_647_657_667: Second or further degree following successful completion of a Bachelor's or equivalent programme

ISCED11_64X647: Bachelor’s or equivalent academic level,  excluding second or further degree (following a Bachelor's or equivalent programme)

ISCED11_65: Bachelor’s or equivalent professional level

ISCED11_651: Bachelor’s or equivalent professional level, insufficient for  completion

ISCED11_655: Bachelor’s or equivalent professional level, first degree (3-4 years)

ISCED11_655T657: Bachelor’s or equivalent professional level, sufficient for level completion

ISCED11_656: Bachelor’s or equivalent professional level, long first degree (more than 4 years)

ISCED11_657: Bachelor’s or equivalent professional level, second or further degree (following a Bachelor’s or equivalent programme)

ISCED11_65X657: Bachelor’s or equivalent professional level, excluding second or further degree (following a Bachelor's or equivalent programme)

ISCED11_66: Bachelor’s or equivalent level, orientation unspecified

ISCED11_661: Bachelor’s or equivalent level, orientation unspecified, insufficient for level completion

ISCED11_665: Bachelor’s or equivalent level, orientation unspecified, first degree (3-4 years)

ISCED11_666: Bachelor’s or equivalent level, orientation unspecified, long first degree (more than 4 years)

ISCED11_667: Bachelor’s or equivalent level, orientation unspecified, second or further degree (following a Bachelor’s or equivalent programme)

ISCED11_6T8: Bachelor's, Master's and Doctoral or equivalent level

ISCED11_6X641_651_661: Bachelor's or equivalent level, sufficient for level completion

ISCED11_6X647_657_667: Bachelor’s or equivalent level,  insufficient for level completion and first degrees (3-4 years)

ISCED11_6_7: Bachelor's and Master's or equivalent levels

ISCED11_741: Master’s or equivalent academic level, insufficient for level completion

ISCED11_741_746_751_756_761_766: Master's or equivalent level, insufficient for level completion or first degrees

ISCED11_741_751_761: Master’s or equivalent level, all programmes, insufficient for level completion

ISCED11_746: Master’s or equivalent academic level, long first degree (at least 5 years)

ISCED11_746T748: Master’s or equivalent academic level, sufficient for level completion

ISCED11_746_747_756_757_766_767: Master’s or equivalent level, first and second or further degree (following a Bachelor's or equivalent programme)

ISCED11_746_756_766: Master’s or equivalent level, long first degree (at least 5 years)

ISCED11_747: Master’s or equivalent academic level, second or further degree (following a Bachelor’s or equivalent programme)

ISCED11_747_757_767: Master’s or equivalent level, second or further degree (following a Bachelor's or equivalent programme)

ISCED11_748: Master’s or equivalent academic level, second or further degree (following a Master’s or equivalent programme)

ISCED11_748_758_768: Master’s or equivalent level, second or further degree (following a Master’s or equivalent programme)

ISCED11_74X747: Master’s or equivalent  academic level, excluding second or further degree (following a Master’s or equivalent programme)

ISCED11_75: Master’s or equivalent professional level

ISCED11_751: Master’s or equivalent professional level, insufficient for  completion

ISCED11_756: Master’s or equivalent professional level, long first degree (at least 5 years)

ISCED11_756T758: Master’s or equivalent professional level, sufficient for level completion

ISCED11_757: Master’s or equivalent professional level, second or further degree (following a Bachelor’s or equivalent programme)

ISCED11_758: Master’s or equivalent professional level, second or further degree (following a Master’s or equivalent programme)

ISCED11_75X757: Master’s or equivalent  professional level, excluding second or further degree (following a Master’s or equivalent programme)

ISCED11_76: Master’s or equivalent level, orientation unspecified

ISCED11_761: Master’s or equivalent level, orientation unspecified, insufficient for  completion

ISCED11_766: Master’s or equivalent level, orientation unspecified, long first degree (at least 5 years)

ISCED11_767: Master’s or equivalent level, orientation unspecified, second or further degree (following a Bachelor’s or equivalent programme)

ISCED11_768: Master’s or equivalent level, orientation unspecified, second or further degree (following a Master’s or equivalent programme)

ISCED11_7X741_751_761: Master’s or equivalent level, sufficient for level completion

ISCED11_7X748_758_768: Master’s or equivalent level,  excluding second or further degree (following a Master’s or equivalent programme)

ISCED11_7_8: Master's and Doctoral or equivalent level

ISCED11_841: Doctoral or equivalent academic level, insufficient for  completion

ISCED11_844: Doctoral or equivalent academic level, sufficient for completion of level

ISCED11_844_854_864: Doctoral or equivalent level, sufficient for level completion

ISCED11_85: Doctoral or equivalent professional level

ISCED11_851: Doctoral or equivalent professional level, insufficient for  completion

ISCED11_854: Doctoral or equivalent professional level, sufficient for completion of level

ISCED11_86: Doctoral or equivalent level, orientation unspecified

ISCED11_861: Doctoral or equivalent level, orientation unspecified, insufficient for  completion

ISCED11_864: Doctoral or equivalent level, orientation unspecified, sufficient for completion of level

AES_AL_FNFAET12: Participation in formal and/or non-formal training - 12-month reference period

BB_ACC: Share of households with internet broadband access

CF_BUILT_EXP: Built-up area exposure to coastal flooding

EARLY_LEAVERS_RATE: Early leavers from education and training

ELEC_FOSSIL: Gross electricity generation from fossil fuels

ELEC_HYDRO: Gross electricity generation from hydro power

ELEC_NUCL: Gross electricity generation from nuclear

ELEC_OTHER: Gross electricity generation from other sources

ELEC_OTHERRES: Gross electricity generation from other renewable sources (biomass, geothermal, waste, wave and tidal)

ELEC_RES: Gross electricity generation from renewable energy sources

ELEC_SOLAR: Gross electricity generation from solar power

ELEC_WIND: Gross electricity generation from wind power

EMP_RATIO_SEXDIF: Employment to population ratio, gender difference

GHG_AGRICULTURE: Green house gas emissions from agriculture

GHG_BUILDINGS: Green house gas emissions from buildings

GHG_INDUSTRY: Green house gas emissions from industries

GHG_POWER: Green house gas emissions from the power sector

GHG_ROAD_TRANSPORT: Green house gas emissions from road transport

GHG_TRANSPORT: Green house gas emissions from transport

INMIG: New residents in the region coming from another country

INMOB: New residents in the region coming from another region of the same country

LAU_POP: Mean local administrative unit population

LFEXPDFM: Life expectancy difference (female-male)

LF_RATE_SEXDIF: Labour force participation rate, gender difference

MORT_ICDI_CRUDE_RATIO: Circulatory system diseases mortality crude rate

MORT_ICDJ_CRUDE_RATIO: Respiratory system diseases mortality crude rate

MORT_INFANT_DFM: Infant mortality rate difference (female-male)

NETB: Net enterprises population growth/shrink

NETMIG: Net international migration (inflows minus outflows)

NETMOB: Net inter-regional mobility (inflows minus outflows)

OUTMIG: Persons who left the region to reside in another country

OUTMOB: Persons who left the region to reside in another region of the same country

PIAAC_AL_FNFAET4: Participation in formal and/or non-formal training - 4-week reference period

POP_WATER_2ND_TREAT: Population connected to at least secondary wastewater treatment

RF_BUILT_EXP: Built-up area exposure to river flooding

TRANS_SHARE_EDULABOUR_NE_U_I: Population not in education and unemployed or inactive (NEET)

UNE_RATE_SEXDIF: Long-term unemployment rate, gender difference

VEH_NEW_ELECTRIC: New registered vehicles, electric power engine

VEH_NEW_HYBRID: New registered vehicles, hybrid power engine

AR23: Tierra del Fuego, Antártida e Islas del Atlántico Sur

BE10: Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest

BE336: Bezirk Verviers - Deutschsprachige Gemeinschaft

CA1030N: West Coast-Northern Peninsula-Labrador, NL

CA4870N: Athabasca-Grande Prairie-Peace River, AB

CA_MLT_RG_SM: Canada, regions benefitting from multi-region support measures

CN_MLT_RG_SM: China, regions benefitting from multi-region support measures

DE401: Brandenburg an der Havel, Kreisfreie Stadt

DEB36: Neustadt an der Weinstraße, Kreisfreie Stadt

DE_MLT_RG_SM: Germany, regions benefitting from multi-region support measures

EL422: Andros, Thira, Kea, Milos, Mykonos, Naxos, Paros, Syros, Tinos

MD_MLT_RG_SM: Moldova, regions benefitting from multi-region support measures

NL337: Agglomeratie Leiden en Bollenstreek (TL2021)

RS21: The region of Šumadija and Western Serbia

UKE1: East Yorkshire and Northern Lincolnshire

UKF2: Leicestershire, Rutland and Northamptonshire

UKG1: Herefordshire, Worcestershire and Warwickshire

UKI33: Kensington and Chelsea, and Hammersmith and Fulham

UKJ1: Berkshire Buckinghamshire and Oxfordshire

UKK1: Gloucestershire Wiltshire and Bristol/Bath Area

UKK12: Bath and North East Somerset, North Somerset and South Gloucestershire

UKM61: Caithness and Sutherland, and Ross and Cromarty

UKM62: Inverness and Nairn, Moray, Badenoch and Strathspey

UKM63: Lochaber, Skye and Lochalsh, Arran, Cumbrae, and Argyll and Bute

UKM81: East Dunbartonshire, West Dunbartonshire, and Helensburgh and Lomond

UKM83: Inverclyde, East Renfrewshire and Renfrewshire

UKM93: East Ayrshire and North Ayrshire mainland

UKN05: West and South of Northern Ireland (TL2016)

UK_MLT_RG_SM: Ukraine, regions benefitting from multi-region support measures

US081: Johnson City-Kingsport-Bristol (Tri-Cities), TN-VA

US084: Kansas City-Overland Park-Kansas City, MO-KS

US096: Little Rock-North Little Rock-Pine Bluff, AR

US173: Virginia Beach-Norfolk-Newport News, VA-NC

GRID_DEGURBA: Total degree of urbanisation (grid-cells based)

SAU_DEGURBA: Total degree of urbanisation (SAU based)

10P3EMP_MS: Per 1 000 employment in the market sector

10P3HB_AGE: Per 1 000 inhabitants in the same age group

10P3PHYS_PRF_HLTH: Per 1 000 practising physicians in the same health profession

ADF: Andorran franc (1-1 peg to the French franc)

ADP: Andorran peseta (1-1 peg to the Spanish peseta)

DDD_10P3HB: Defined daily doses per 1 000 inhabitants per day

EUR_EXC_PS: Euros, exchange rate converted, per person

FCTR_EARN_FT_SIM: Factor of earnings for full-time, full-year similarly educated workers

FCTR_EARN_FT_TER: Factor of earnings for full-time, full-year tertiary-educated workers

FCTR_FAS_S1: Factor of financial assets of total economy

FCTR_LI_F5: Factor of equity and investment fund shares liabilities

FCTR_LI_S1S: Factor of liabilities of total economy, except financial corporations

FCTR_P6_M: Factor of export market for goods and services

FCTR_Q1_SCR_LIFE_SATISFACTION: Factor of lowest life satisfaction scores quintile

FCTR_Q1_SCR_PERS_REL_SATISFACTION: Factor of lowest personal relationship satisfaction scores quintile

FCTR_Q1_SCR_TIME_USE: Factor of lowest time use scores quintile

FCTR_SAL_EXP0: Factor of salary at the start of the career

FCTR_SAL_ISCED11_1: Factor of salary per net teaching hour of teachers in primary education

FCTR_WG_SAL_G_I_INC: Factor of gross individual wage at the same income level

FCTR_WG_SAL_N_I_INC: Factor of net individual wage at the same income level

G_CO2E_KWH: Grammes of CO2-equivalent per kilowatt hour

HB_LAU: Inhabitants per local administrative unit

KGOE_PS: Kilogrammes of oil equivalent per person

KG_CO2E_10P3USD: Kilogrammes of CO2-equivalent per 1 000 US dollars

KG_CO2E_KG: Kilogrammes of CO2-equivalent per kilogramme

KG_CO2E_PS: Kilogrammes of CO2-equivalent per person

LAU_10P5HB: Local administrative units per 100 000 inhabitants

PASKM_10P3USD: Passenger-kilometres per 1 000 US dollars

PC_DT_A: Percentage change from base period average deaths

PD_EMP_PA: Percentage point difference from prime-age workers

PRC_10P3HB_Y_GE65: Procedures per 1 000 inhabitants aged 65 years old or over

PRC_10P3POP_Y_GE65: [Deprecated] Procedures per 1 000 population aged 65 years old and over

PT_ADLSC_EDU: Percentage of adolescent students at the same education level

PT_APD: Percentage of official development assistance

PT_APD_SEC: Percentage of sector-allocable official development assistance

PT_AS_PENS_OCC: Percentage of occupational pension assets

PT_AS_S1M: Percentage of household and NPISH assets

PT_B1GQ_POP_PPP_OECD: Percentage of PPP converted GDP per capita of OECD

PT_B1G_MS: Percentage of gross value added in the market sector

PT_B2A3G: Percentage of gross operating surplus and mixed income

PT_B5G_S14: Percentage of balance of household gross primary income

PT_B5G_S1M: Percentage of balance of household and NPISH gross primary income

PT_B5N_S14: Percentage of balance of household net primary incomes

PT_B6GA_S1M: Percentage of household and NPISH gross disposable income adjusted for the net change in pension entitlements

PT_B6G_A_POP_Y_GT65: Percentage of gross disposable income of the population aged over 65 years

PT_B6G_S14: Percentage of household gross disposable income

PT_B6G_S1M: Percentage of household and NPISH gross disposable income

PT_B6NA_S1M: Percentage of household and NPISH net disposable income adjusted for the net change in pension entitlements

PT_B6N_S14: Percentage of household net disposable income

PT_B6N_S1M: Percentage of household and NPISH net disposable income

PT_B7G_S14: Percentage of household gross adjusted disposable income

PT_B7N_S14: Percentage of household net adjusted disposable income

PT_B7N_S1M: Percentage of household and NPISH net adjusted disposable income

PT_B90_S1M: Percentage of household and NPISH wealth

PT_BD_AV_ICU: Percentage of available intensive care unit (ICU) beds

PT_BERD: Percentage of business enterprise expenditure on R&D

PT_BF90_S14: Percentage of household financial wealth

PT_BF90_S1M: Percentage of household and NPISH financial wealth

PT_CONS_MAT_D: Percentage of domestic material consumption

PT_CONS_VA: Percentage of value added in consumption

PT_COS_WLFR_DT_PRMTR: Percentage of welfare cost of premature deaths

PT_CSE_AGR_COM: Percentage of consumption expenditure on agricultural commodities at farm gate prices, excluding taxpayer transfers to consumers

PT_DALY: Percentage of disability-adjusted life years

PT_DDD_PRSC: Percentage of defined daily doses prescribed

PT_DEPEND_SUB: Percentage of dependents in the subgroup

PT_DFD_FVA: Percentage of foreign value added in domestic final demand

PT_DT_A_PRECVD19: Percentage of average deaths in pre-COVID years

PT_EARN_G_PRE_RET_INC: Percentage of gross pre-retirement earnings at the same income level

PT_EARN_N_PRE_RET_INC: Percentage of net pre-retirement earnings at the same income level

PT_EARN_PRVS_LST_SUB: Percentage of previous earnings lost in the same subgroup

PT_EARN_WR_ISCED11A_0T2: Percentage of earnings of workers with below upper secondary educational attainment

PT_EARN_WR_ISCED11A_3: Percentage of earnings of workers with upper secondary educational attainment

PT_EARN_WR_ISCED11A_3_3_4: Percentage of earnings of workers with upper secondary educational attainment, or workers with upper secondary or post-secondary non-tertiary education if the former is not available

PT_EARN_WR_ISCED11A_3_4: Percentage of earnings of workers with upper secondary or post-secondary non-tertiary educational attainment

PT_EARN_WR_ISCED11A_5T8: Percentage of earnings of workers with tertiary educational attainment

PT_EARN_WR_NB: Percentage of earnings of native-born workers

PT_EARN_WR_Y25T34: Percentage of earnings of workers aged 25-34 years

PT_EMP_FT_HSPTL: Percentage of full-time hospital employment

PT_EMP_PT_INV: Percentage of involuntary part-time employment

PT_EMP_S13: Percentage of general government employment

PT_EMP_SEX_AGE: Percentage of employment in the same age and sex

PT_EMP_SUB: Percentage of employment in the same subgroup

PT_EM_CO2_TRAN: Percentage of CO2 emissions from transport

PT_EXGR_DVA: Percentage of domestic value added in gross exports

PT_EXGR_INT_DVA: Percentage of domestic value added in gross exports of intermediates

PT_EXGR_T: Percentage of total economy gross exports

PT_EXP_CUR_EDU_INST: Percentage of current expenditure on educational institutions

PT_EXP_EDU_INST: Percentage of expenditure on educational institutions

PT_EXP_EDU_INST_EXP_TP: Percentage of expenditure on educational institutions in the same expenditure type

PT_EXP_FNC: Percentage of expenditure in the same function

PT_EXP_FS: Percentage of expenditure in the same financing scheme

PT_EXP_OUT_S13: Percentage of general government outsourcing expenditures

PT_EXP_PRV: Percentage of expenditure in the same provider

PT_EXP_S14_SUB: Percentage of household expenditure in the same subgroup

PT_EXP_S14_TRAN: Percentage of household expenditure in transport

PT_EXP_SECTOR: Percentage of expenditure in the same institutional sector

PT_EXP_TOUR_INT: Percentage of international tourism expenditure

PT_FAS_S12L: Percentage of financial assets of investment funds

PT_FAS_S12Q: Percentage of financial assets of insurance corporations and pension funds

PT_FAS_S14: Percentage of household financial assets

PT_FAS_S1M: Percentage of household and NPISH financial assets

PT_FD4_S13M_INST: Percentage of state and local government debt in the same instrument

PT_FD4_S13_INST: Percentage of general government debt in the same instrument

PT_FD_VA: Percentage of value added in final demand

PT_FFD_DCE: Percentage of domestic compensation of employees in foreign final demand

PT_FFD_DEM: Percentage of domestic employment in foreign final demand

PT_FFD_DVA: Percentage of domestic value added in foreign final demand

PT_GBARD: Percentage of government allocations for R&D

PT_GBARD_C: Percentage of civil government allocations for R&D

PT_GERD: Percentage of gross domestic expenditure on R&D

PT_GFCF_VA: Percentage of value added in gross fixed capital formation

PT_GOVERD: Percentage of government intramural expenditure on R&D

PT_GPROC_S13: Percentage of general government procurement

PT_HERD: Percentage of higher education expenditure on R&D

PT_HH_PS_GE1_PENS: Percentage of households with at least one member aged 65+ that benefits from a pension in the same subgroup

PT_HH_WR_LT_INT_PVL: Percentage of households with workers living with less than the international poverty line amount

PT_H_W_USA_PS: Percentage of USA hours worked per person

PT_IMGR_INT: Percentage of gross imports of intermediates

PT_IM_CIF: Percentage of imports (valued at the CIF price)

PT_INC_DISP_HH: Percentage of disposable household income

PT_INC_DISP_HH_BJL: Percentage of disposable household income before job loss

PT_INC_DISP_HH_MEDIAN: Percentage of median disposable household income

PT_INC_DISP_HH_TP_REF_WG_A: Percentage of disposable income in the same household type and with reference person working at average wage

PT_INC_DISP_HH_TP_REF_WG_MEDIAN: Percentage of disposable income in the same household type and with reference person working at median wage

PT_INFR_MAI: Percentage of infrastructure maintenance

PT_INST_COM: Percentage of compulsory instruction time

PT_INV_W_ENV: Percentage of environment related worldwide inventions

PT_LF_SUB: Percentage of labour force in the same subgroup

PT_LI_F2: Percentage of currency and deposits liabilities

PT_LI_S12L: Percentage of liabilities of investment funds

PT_LI_S12Q: Percentage of liabilities of insurance corporations and pension funds

PT_LI_S13: Percentage of general government liabilities

PT_LND_NTR_SNTR_1992: Percentage of natural and semi-natural land in 1992

PT_LND_NTR_SNTR_2004: Percentage of natural and semi-natural land in 2004

PT_LND_NTR_SNTR_BP: Percentage of natural and semi-natural land in base period

PT_LSC_FRST_INT_2000: Percentage of intact forest landscape in 2000

PT_MTH_CH_Y_LE15: Percentage of mothers with at least one child under 15 years

PT_NST_SUB: Percentage of non-students in the same subgroup

PT_ODA_S13: [Deprecated] Percentage of tax revenue / total tax receipt

PT_OTE_S13: Percentage of general government expenditure

PT_OTE_S13M_FNC: Percentage of state and local government expenditure in the same function

PT_OTE_S13M_TRANSACT: Percentage of state and local government expenditure in the same transaction

PT_OTE_S13_EDU: Percentage of general government expenditure on education

PT_OTE_S13_FNC: Percentage of general government expenditure in the same function

PT_OTE_S13_TRANSACT: Percentage of general government expenditure in the same transaction

PT_OTR_REV_CAT: Percentage of revenues in the same revenue category

PT_OTR_S13: Percentage of general government revenues

PT_OTR_S13M_REV_CAT: Percentage of state and local government revenues in the same revenue category

PT_OTR_S13_CAT: Percentage of general government revenues in the same category

PT_OTR_SECTOR: Percentage of revenues in the same institutional sector

PT_P2_ACT: Percentage of intermediate consumption in the same activity

PT_P2_ACT_PROD: Percentage of intermediate consumption in the same activity and product

PT_P2_PROD: Percentage of intermediate consumption in the same product

PT_P3: Percentage of final consumption expenditure

PT_P3_POP_PPP_OECD: Percentage of PPP converted final consumption expenditure per capita of OECD

PT_P3_S14: Percentage of final household consumption expenditure

PT_P3_S14_O_PROD: Percentage of household final consumption expenditure at purchasers' prices in the same product

PT_P3_S14_PROD: Percentage of household final consumption expenditure in the same product

PT_P41_POP_PPP_OECD: Percentage of PPP converted actual individual consumption per capita of OECD

PT_P51G: Percentage of gross fixed capital formation

PT_P51G_PROD: Percentage of gross fixed capital formation in the same product

PT_P5L_S1: Percentage of investment of total economy

PT_P5L_S13: Percentage of general government investment

PT_P5L_SECTOR: Percentage of investment in the same institutional sector

PT_P6_PROD: Percentage of exports in the same product

PT_PARL_ELECT_OFF_LSH: Percentage of elected officials in the national lower or single houses of parliament

PT_PATN_FM_T: Percentage of world triadic patent families

PT_PAT_DRUG_ANTCOAG: Percentage of patients receiving anticoagulating drugs

PT_PAT_DSC_D_MD: Percentage of discharged patients diagnosed with a mental disorder

PT_PAT_WAIT_M_GT3: Percentage of patients waiting more than 3 months

PT_PBL_SC_E: Percentage of expected scientific publications

PT_PBL_SC_SUB: Percentage of scientific publications in the same subgroup

PT_PCOS_S13: Percentage of general government production costs

PT_POP_AGE: Percentage of population in the same age

PT_POP_COND: Percentage of population who have condition

PT_POP_LT_INT_PVL: Percentage of population living with less than the international poverty line amount

PT_POP_SEX: Percentage of population in the same sex

PT_POP_SEX_AGE: Percentage of population in the same sex and age

PT_POP_SUB: Percentage of population in the same subgroup

PT_POP_Y15T24: Percentage of population aged 15-24 years

PT_POP_Y15T24_SUB: Percentage of population aged 15-24 years in the same subgroup

PT_POP_Y15T29: Percentage of population aged 15-29 years

PT_POP_Y15T64: Percentage of population aged 15-64 years

PT_POP_Y15T74: Percentage of population aged 15-74 years

PT_POP_Y16T65: Percentage of population aged 16-65 years

PT_POP_Y16T65_SUB: Percentage of population aged 16-65 in the same subgroup

PT_POP_Y20T64: Percentage of population aged 20-64 years

PT_POP_Y25T34: Percentage of population aged 25-34 years

PT_POP_Y25T54: Percentage of population aged 25-54 years

PT_POP_Y25T64: Percentage of population aged 25-64 years

PT_POP_Y25T64_SUB: Percentage of population aged 25-64 years in the same subgroup

PT_POP_Y_GE15: Percentage of population aged 15 years or over

PT_POP_Y_GE15_SUB: Percentage of population aged 15 years or over in the same subgroup

PT_POP_Y_GE16: Percentage of population aged 16 years or over

PT_POP_Y_GE16_SUB: Percentage of population aged 16 years or over in the same subgroup

PT_POP_Y_GE65: Percentage of population aged 65 years or over

PT_POP_Y_GE75: Percentage of population aged 75 years or over

PT_POP_Y_LT1: Percentage of children aged less than 1 years

PT_REC_FRM_COM: Percentage of commodity specific gross farm receipts

PT_REC_TOUR_INT: Percentage of international tourism receipts

PT_RSC_REN_INT: Percentage of internal renewable resources

PT_RSC_REN_INT_WAT_FRSH: Percentage of internal renewable fresh water resources

PT_RSC_REN_WAT: Percentage of available renewable water resources

PT_SAL_SUB: Percentage of employees in the same subgroup

PT_SELF_SUB: Percentage of self-employed in the same subgroup

PT_SL_VAL_M: Percentage of sales value (turnover) in the same market

PT_SL_VOL_M: Percentage of sales volume in the same market

PT_SME: Percentage of small and medium-sized enterprises

PT_SNGU_SECTOR: Percentage of subnational government units in the same institutional sector

PT_ST_SUB: Percentage of students in the same subgroup

PT_SUPP_E_ALL: Percentage of total support estimate for all countries

PT_SUPP_E_GN_SRV: Percentage of general services support estimate

PT_SUPP_E_GN_SRV_ALL: Percentage of general services support estimate for all countries

PT_SUPP_E_PRDC_ALL: Percentage of producer support estimate for all countries

PT_SUPP_FOS_FL_OC: Percentage of ocean-related fossil fuel support

PT_SUR_ART_BP: Percentage of artificial surfaces in base period

PT_SUR_WAT_PER_1984: Percentage of permanent water surface in 1984

PT_TAX_REV_ENV: Percentage of environment related tax revenue

PT_TAX_REV_NRG: Percentage of energy related tax revenue

PT_TCAR_BP: Percentage of tree-covered areas in base period

PT_TECH_COL: Percentage of collaborations in all technologies

PT_TECH_ENV: Percentage of environment related technologies

PT_TRD_INT_G: Percentage of trade in intermediate goods

PT_TS_O_PROD: Percentage of total supply at purchasers' prices in the same product

PT_UNEMPT_SUB: Percentage of unemployment in the same subgroup

PT_VOTES_SUB: Percentage of votes in the same subgroup

PT_WAP_SUB: Percentage of working age population in the same subgroup

PT_WG_A_SAL_FT: Percentage of average wage of full-time employees

PT_WG_SAL_M_D: Percentage of wages of men in the same decile

PT_WR_HLTH_INS_SUB: Percentage of workers with health insurance in the same subgroup

PT_WR_INF_DEG_URB: Percentage of informal workers in the same degree of urbanisation

PT_WR_INF_EMP_ST: Percentage of informal workers in the same employment status

PT_WR_INF_SEX: Percentage of informal workers in the same sex

PT_WR_INF_SUB: Percentage of informal workers in the same subgroup

PT_WR_LT_INT_PVL: Percentage of workers living with less than the international poverty line amount

PT_WR_LT_NAT_PVL: Percentage of workers living with less than the national poverty line amount

PT_WR_PENS_SUB: Percentage of workers contributing to pensions in the same subgroup

PT_WR_PRF_HLTH: Percentage of workers in the same health profession

PT_WR_PRF_HLTH_SEX: Percentage of workers in the same health profession and sex

PT_WR_SEX_AGE_EMP_ST: Percentage of workers in the same age, sex and employment status

PT_WR_SUB: Percentage of workers in the same subgroup

PT_W_SUB: Percentage of women in the same subgroup

TOE_10P3USD: Tonnes of oil equivalent per 1 000 US dollars

T_NMVOCE_USD: Tonnes of NMVOC equivalent per US dollar

USD_EXC_H: US dollars per hour, exchange rate converted

USD_EXC_PS: US dollars per person, exchange rate converted

USD_HHE_PPP: US dollars per equivalised household, PPP converted

USD_KG_CO2E: US dollars per kilogramme of CO2-equivalent

USD_PPP_KWH: US dollars per kilowatt hour, PPP converted

XDC_HH_EQ: National currency per equivalised household

XDC_INP: National currency per unit of total inputs

XDC_TCO2E: National currency per tonne of CO2-equivalent

provider_name: Organisation for Economic Co-operation and Development


description:
This dataset provides statistics on the exclusion of young people from education, NEETs and early leavers in large regions (TL2).

Data definition and source

NEET rate is measure as the rate of young people not in employment and not in any education and training. The rate of early leavers from education and training refers to young people who have finished no more than a lower secondary education and are not involved in further education or training. The NEET and early leavers rates generally refer to persons aged 18 to 24, expressed as a percentage of the total population of the same age.

Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

name: Youth exclusion from education - Regions


Adult training - Regions

description:
This dataset provides statistics on adult training in large regions (TL2).

Data definition and source

Adult training is measured here as a percentage of the population aged 25-64 participating in formal and/or non-formal education and training under two reference periods: in the past 4 weeks (source: Survey of Adult Skills PIAAC) and the past 12 months (source: Adult Education Survey (AES)).

Data are collected from Eurostat (reg_educ) for EU countries, and through delegates of the OECD Working Party on Territorial Indicators (WPTI) and the OECD Working Party on Education System Indicators (INES).

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Health care - Regions

description:
This dataset provides statistics on healthcare resources in large regions (TL2), and small regions (TL3) when data is available. Indicators include doctor, practising nurses, hospital beds and hospital discharges.

Data definition and source

Doctors (physicians) are usually generalists who assume responsibility for the provision of continuing care to individuals and families, or specialists such as paediatricians, obstetricians/gynaecologists, psychiatrists, medical specialists and surgical specialists.

Practising nurses provide services directly to patients, it includes: professional nurses, associate professional nurses, foreign nurses licensed to practice and actively practising in the country. It excludes midwives unless they work most of the time as nurses.

Hospital beds are all hospital beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They include beds in all hospitals, including general hospitals, mental health and substance abuse hospitals, and other specialty hospitals; occupied and unoccupied beds.

The three indicators above are measured per 1 000 inhabitants.

Hospital discharge is the formal release of a patient from a hospital, here for all causes of diseases (A00-Z99) and all hospitals. It includes discharges from all hospitals, including general hospitals (HP.1.1), mental health hospitals (HP.1.2), and other specialised hospitals (HP.1.3) ; Deaths in hospital ; Transfers to another hospital ; Discharges of healthy newborns. This indicator is measured per 100 000 inhabitants.

Data is collected from Eurostat (reg_hlth) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Health statistics - Regions

description:
This dataset provides statistics on health statistics for large regions (TL2) and small regions (TL3) when data is available. Indicators include healthcare resources (physicians, practising nurses, hospital beds and hospital discharges), health status (life expectancy, infant mortality rate, crude mortality rate, age-adjusted mortality rate) and health risks (obesity, mortality due circulatory and respiratory diseases, air pollution).

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Use of data on small regions

When socio-demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link).

Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Health risks - Regions

description:
This dataset provides regional statistics on health risks in large regions (TL2), and small regions (TL3) when data is available. Indicators include obesity rates, air pollution exposure, mortality rates due to circulatory and respiratory diseases.

Data definition and source

Obesity rate is the percentage of population 15 years old or more with a BMI>30 kg/m2. The Body Mass Index (BMI) is a single number that evaluates an individual's weight status in relation to height (weight/height2) with weight in kilograms and height in meters.

Population exposure to fine particule PM2.5 provide an estimate of the population-weighted average of PM2.5 concentration.

Respiratory system diseases mortality rate  is the number of deaths from diseases of the respiratory system (group J00-J99 of the International Classification of Deseases), for 100 000 inhabitants.

Circulatory system diseases mortality rate rate is the number of deaths from diseases of the circulatory system (group I00-I99) for 100 000 inhabitants.

PM2.5 air pollution indicators are computed using geospatial data from the Global Burden of Disease (GBD) 2019 project. Respiratory and circulatory related mortality data are collected from Eurostat (reg_hlth) for EU regions and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Use of data on small regions

When socio-demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Health status - Regions

description:
This dataset provides statistics on health status in in large regions (TL2), and small regions (TL3) when data is available. Indicators include life expectancy, raw mortality rate, age-adjusted mortality rate and infant mortality rate.

Data definition and source

Life expectancy at birth is defined as how long, on average, a newborn can expect to live, if current death rates do not change.

Crude mortality rate is defined as the ratio of the number of deaths during the year to the average population in that year. The indicator is expressed per 1 000 inhabitants.

Age-adjusted mortality rate represents the death rate that would be expected in a given region if its population had the same age distribution as the OECD average, enabling comparability across different countries and regions. For small TL3 regions, where this indicator may vary, it is advisable to calculate the average values over a minimum period of three years for a more reliable assessment.

 Infant mortality rate is the number of deaths of children less than one year of age per 1 000 live births.

Data is collected from Eurostat (reg_hlth) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Labour indicators levels - Regions

WXANNEX1:
Non-Annex I of the United Nations Framework Convention on Climate
            Change Parties

description:
This dataset provides labour force, employment and unemployment levels, for large regions (TL2) and small regions (TL3) when available.

Data definition and source

The labour force status is presented by sex, for 15-64 year-olds and 15+ year-olds age ranges, the latter having less country coverage. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Territorial typologies

Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Part-time employment - Regions

description:
This dataset provides part-time employment incidence, for large regions (TL2) and small regions (TL3) when available.

Data definition and source

Part-time employment is defined as people in employment (whether employees or self-employed) who usually work less than 30 hours per week in their main job. Part-time employment incidence is the share of part-time employed over total employment. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Territorial typologies

Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Labour indicators rates - Regions

description:
This dataset provides participation rate, employment to population ratio and unemployment rate, for large regions (TL2) and small regions (TL3) when available.

Data definition and source

The labour force status is presented by sex, for 15-64 year-olds and 15+ year-olds age ranges, the latter having less country coverage. Data is based on a labour force survey using ILO guidelines and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Territorial typologies

Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


Temporary employees - Regions

description:
This dataset provides the share of closed fixed term employment contracts for large regions (TL2) and small regions (TL3) when available.

Data definition and source

Data is collected via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Territorial typologies

Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org


description:
This dataset provides labour market indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.

Data source and definition

I>The indicators include labour indicators at place of residence by type of territory. Data is based on a labor force survey using ILO methodology and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.

 Territorial typology on the population's access to cities

Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.

The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) – composed of urban centres and their commuting areas – and classifies small (TL3) regions (Fadic et al., 2019) according to the following criteria:

Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: metropolitan large, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and metropolitan midsize, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.

Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: near a midsize/large FUA if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; near a small FUA if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and remote, otherwise.

List of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

name: Labour indicators by access to city typology


description:
This dataset provides labour market indicators aggregated at national level and broken down by urban-rural territorial typology.

Data source and definition

The indicators include labour indicators at place of residence by type of territory. Data is based on a labor force survey using ILO methodology and collected from Eurostat (reg_lmk) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.

The indicators are aggregated data within a country based on the typology of small (TL3) regions to calculate a total or average for all predominantly rural regions, intermediate regions or predominantly urban regions.

 Territorial typology based on urban-rural population

Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.

Traditionally the OECD has classified small (TL3) regions as predominantly urban, intermediate, or predominantly rural regions. Predominantly rural regions can be further broken down as 'Close to city' and 'Remote', see the methodology (pdf). This typology remains of interest for users, although the Access to City typology is now the one used by OECD analysts.

List of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

name: Labour indicators by urban-rural territorial typology


description:
This dataset provides labour market indicators, by region. The labour force status is presented by sex, for 15-64 year-olds. 15-24 year-olds and 15+ year-olds age ranges are also available. Indicators include labour force, participation rate, employment, employment to population ratio, part-time employment rate, unemployment, unemployment rate, long-term unemployment rate and share of fixed-term employment contracts.

Regions and territorial levels

Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.

The list and maps of OECD regions are presented in the OECD Territorial grid (pdf).

Regional typologies

Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:

Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people’s movements). See the methodology (pdf).

Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology (pdf).

The list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

Subnational statistics can be further explored with:

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

For any question or comment, please write to RegionStat@oecd.org

name: Labour statistics - Regions (for 'Developer API')


Foreign-born population - Regions

description:
This dataset provides statistics on foreign-born population, for large regions (TL2).

Data definiton

The database presents the foreign-born data following the region where the measure is observed and the place of birth. The measure of the count and integration of migrants can be compared with to that of native born. The indicators include demographic characteristics, educational level and labour market integration.

For more details on data sources for each country, please see here.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

FB_EU: Foreign-born from inside EU-27 countries

FB_NONEU: Foreign-born from outside EU-27 countries


Safety - Regions

description:
This dataset provides statistics on homicide rates, motor vehicle thefts and mortality rates due to transport in regions.

Regions and territorial levels

Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.

The list and maps of OECD regions are presented in the OECD Territorial grid (pdf).

Regional typologies

Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:

Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people’s movements). See the methodology (pdf).

Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology (pdf).

The list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

Subnational statistics can be further explored with:

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

For any question or comment, please write to RegionStat@oecd.org


Society statistics - Regions

description:
This dataset provides social statistics in regions.

Regions and territorial levels

Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.

The list and maps of OECD regions are presented in the OECD Territorial grid (pdf).

Regional typologies

Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:

Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people’s movements). See the methodology (pdf).

Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology (pdf).

The list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

Subnational statistics can be further explored with:

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

For any question or comment, please write to RegionStat@oecd.org


Private road vehicles - Regions

description:
This dataset provides statistics on passenger private road motor vehicles by type of engine, in regions. A road motor vehicle is defined here as a vehicle other than a motorcycle, intended for the carriage of passengers and designed to seat no more than nine persons including the driver. The term passenger car therefore covers micro-cars (do not need a permit to be driven), taxis and hired passenger cars, provided that they have fewer than ten seats. This category may also include pick-ups

Regions and territorial levels

Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.

The list and maps of OECD regions are presented in the OECD Territorial grid (pdf).

Regional typologies

Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:

Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people’s movements). See the methodology (pdf).

Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology (pdf).

The list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

Subnational statistics can be further explored with:

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

For any question or comment, please write to RegionStat@oecd.org


Civic engagement - Regions

description:
This dataset provides statistics on voter turnout to general elections (percentage of registered voters who voted), in regions.

Regions and territorial levels

Regions are subnational units below national boundaries and correspond to administrative divisions defined autonomously by countries according to different criteria. The OECD classifies regions into two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). This classification facilitates greater comparability of geographic units at the same territorial level.

The list and maps of OECD regions are presented in the OECD Territorial grid (pdf).

Regional typologies

Regional typologies helps to assess differences in socio-economic trends in regions, both within and across countries. Small (TL3) regions are categorized based on shared characteristics into two types of typology:

Typology based on the proximity of regions to functional urban areas of different sizes (FUAs encompass the economic and functional extent of cities based on daily people’s movements). See the methodology (pdf).

Typology based on urban-rural population: traditionally the OECD has classified small regions as predominantly urban, intermediate, or predominantly rural regions. See the methodology (pdf).

The list of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

Subnational statistics can be further explored with:

The interactive web-tool OECD Regions and Cities Statistical Atlas

The report OECD Regions and Cities at a Glance

For any question or comment, please write to RegionStat@oecd.org