COMPASS Key Indicators

dimensions_codes_order: VAR COUNTRY THEME

COUNTRY: compass key countries

THEME: compass key themes

ARGENTINA: Argentina

AUSTRALIA: Australia

AUSTRIA: Austria

BELGIUM: Belgium

BRAZIL: Brazil

BULGARIA: Bulgaria

CANADA: Canada

CHILE: Chile

CHINA: China

COLOMBIA: Colombia

COSTARICA: Costa Rica

CROATIA: Croatia

CYPRUS: Cyprus

CZECHREPUBLIC: Czech Republic

DENMARK: Denmark

EGYPT: Egypt

ESTONIA: Estonia

FINLAND: Finland

FRANCE: France

GERMANY: Germany

GREECE: Greece

HUNGARY: Hungary

ICELAND: Iceland

INDIA: India

INDONESIA: Indonesia

IRELAND: Ireland

ISRAEL: Israel

ITALY: Italy

JAPAN: Japan

KAZAKHSTAN: Kazakhstan

LATVIA: Latvia

LITHUANIA: Lithuania

LUXEMBOURG: Luxembourg

MALAYSIA: Malaysia

MALTA: Malta

MEXICO: Mexico

MOROCCO: Morocco

NETHERLANDS: Netherlands

NEWZEALAND: New Zealand

NORWAY: Norway

PERU: Peru

POLAND: Poland

PORTUGAL: Portugal

ROMANIA: Romania

RUSSIANFEDERATION: Russian Federation

SLOVAKIA: Slovak Republic

SLOVENIA: Slovenia

SOUTHAFRICA: South Africa

SOUTHKOREA: Republic of Korea

SPAIN: Spain

SWEDEN: Sweden

SWITZERLAND: Switzerland

THAILAND: Thailand

TURKEY: Türkiye

UNITEDKINGDOM: United Kingdom

UNITEDSTATES: United States

TH1: Governance

TH2: Public research system

TH3: Innovation in firms and innovative entrepreneurship

TH5: Public-private knowledge transfers and linkages

TH7: Human resources for research and innovation

TH8: Research and innovation for society

BH_RS: Business Enterprise researchers in headcount

BH_WRS: Women researchers in the Business Enterprise sector (headcount)

BH_WRXRS: Percentage of women among Business Enterprise researchers (based on headcount)

BP_RS: Business Enterprise researchers in FTE

BP_RSXRS: Business Enterprise researchers as a percentage of national total (based on FTE)

BP_TT: Business Enterprise Total R&D personnel (FTE)

BP_TTXTT: Business Enterprise Total R&D personnel as a percentage of national total (based on FTE)

B_1033NC: BERD performed in total manufacturing in national currency, million

B_1033PPP: BERD performed in total manufacturing in current USD PPP, million

B_1033PPPCT: BERD performed in total manufacturing in constant USD PPP, million

B_1033XB: BERD performed in total manufacturing as a percentage of total BERD

B_1033XGDP: BERD performed in total manufacturing as a percentage of GDP

B_21NC: BERD performed in the pharmaceutical industry in national currency, million

B_21PPP: BERD performed in the pharmaceutical industry in current USD PPP, million

B_21PPPCT: BERD performed in the pharmaceutical industry in constant USD PPP, million

B_21XB: BERD performed in the pharmaceutical industry as a percentage of total BERD

B_21XGDP: BERD performed in the pharmaceutical industry as a percentage of GDP

B_21XM: BERD performed in the pharmaceutical industry as a percentage of BERD performed in manufacturing

B_26NC: BERD performed in the computer, electronic and optical industry industry in national currency, million

B_26PPP: BERD performed in the computer, electronic and optical industry industry in current USD PPP, million

B_26PPPCT: BERD performed in the computer, electronic and optical industry industry in constant USD PPP, million

B_26XB: BERD performed in the computer, electronic and optical industry industry as a percentage of total BERD

B_26XGDP: BERD performed in the computer, electronic and optical industry industry as a percentage of GDP

B_26XM: BERD performed in the computer, electronic and optical industry industry as a percentage of BERD performed in manufacturing

B_303NC: BERD performed in the aerospace industry in national currency, million

B_303PPP: BERD performed in the aerospace industry in current USD PPP, million

B_303PPPCT: BERD performed in the aerospace industry in constant USD PPP, million

B_303XB: BERD performed in the aerospace industry as a percentage of total BERD

B_303XGDP: BERD performed in the aerospace industry as a percentage of GDP

B_303XM: BERD performed in the aerospace industry as a percentage of BERD performed in manufacturing

B_4599NC: BERD performed in total services in national currency, million

B_4599PPP: BERD performed in total services in current USD PPP, million

B_4599PPPCT: BERD performed in total services in constant USD PPP, million

B_4599XB: BERD performed in total services as a percentage of total BERD

B_4599XGDP: BERD performed in total services as a percentage of GDP

B_5863NC: BERD performed in information and communication services in national currency, million

B_5863PPP: BERD performed in information and communication services in current USD PPP, million

B_5863PPPCT: BERD performed in information and communication services in constant USD PPP, million

B_5863XB: BERD performed in information and communication services as a percentage of total BERD

B_5863XGDP: BERD performed in information and communication services as a percentage of GDP

B_EDXBE: Experimental development expenditure in the business sector as a percentage of total BERD (excluding not classified)

B_FA: BERD financed by the rest of the world in national currency, million

B_FACT: BERD financed by the rest of the world in constant USD PPP, million

B_FAPPP: BERD financed by the rest of the world in current USD PPP, million

B_FAXGDP: BERD financed by the rest of the world as a percentage of GDP

B_FB: BERD financed by the business enterprise sector in national currency, million

B_FBCT: BERD financed by the business enterprise sector in constant USD PPP, million

B_FBPPP: BERD financed by the business enterprise sector in current USD PPP, million

B_FBXGDP: BERD financed by the business enterprise sector as a percentage of GDP

B_FG: BERD financed by government in national currency, million

B_FGCT: BERD financed by government in constant USD PPP, million

B_FGPPP: BERD financed by government in current USD PPP, million

B_FGXGDP: BERD financed by government as a percentage of GDP

B_FON: BERD financed by the Higher Education and PNP sectors in national currency, million

B_FONCT: BERD financed by the Higher Education and PNP sectors in constant USD PPP, million

B_FONPPP: BERD financed by the Higher Education and PNP sectors in current USD PPP, million

B_FONXGDP: BERD financed by the Higher Education and PNP sectors as a percentage of GDP

B_GRO: BERD, compound annual real growth rate

B_HIGHNC: BERD performed in high and medium-high R&D intensive manufacturing industries in national currency, million

B_HIGHPPP: BERD performed in high and medium-high R&D intensive manufacturing industries in current USD PPP, million

B_HIGHPPPCT: BERD performed in high and medium-high R&D intensive manufacturing industries in constant USD PPP, million

B_HIGHXB: BERD performed in high and medium-high R&D intensive manufacturing industries as a percentage of total BERD

B_HIGHXGDP: BERD performed in high and medium-high R&D intensive manufacturing industries as a percentage of GDP

B_HIGHXM: BERD performed in high and medium-high R&D intensive manufacturing industries as a percentage of BERD performed in manufacturing

B_INDEX: BERD in constant USD PPP, index 2007=100

B_NC: BERD in national currency, million

B_PPP: Business Enterprise Expenditure on R&D (BERD) in current USD PPP, million

B_PPPCT: BERD in constant USD PPP, million

B_SMEXBE: BERD, SMEs, as a percentage of total BERD

B_SMEXGVFBE: BERD, SMEs, as a percentage of government-funded BERD

B_XFA: BERD financed by the rest of the world as a percentage of total BERD

B_XFB: BERD financed by the business enterprise sector as a percentage of total BERD

B_XFG: BERD financed by government as a percentage of total BERD

B_XFON: BERD financed by the Higher Education and PNP sectors as a percentage of total BERD

B_XGDP: BERD as a percentage of GDP

B_XVA: BERD as a percentage of value added in industry

B_XVAC: BERD adjusted for industrial structure as a percentage of value added in industry

B_XVAU: Unadjusted BERD as a percentage of value added in industry

C_GAKX: R&D budget for general advancement of knowledge (financed from sources other than GUF) in national currency, million

C_GAKXPPP: R&D budget for general advancement of knowledge (financed from sources other than GUF) in current USD PPP, million

C_GAKXPPPCT: R&D budget for general advancement of knowledge (financed from sources other than GUF) in constant USD PPP, million

C_GAKXXTOT: R&D budget for general advancement of knowledge (financed from sources other than GUF) as a percentage of total GBARD

C_GBTARD: Total Government support (GBARD and tax credits) in national currency, million

C_GBTARDPPPCT: Total Government support (GBARD and tax credits) in constant USD PPP, million

C_GBTARDXGDP: Total Government support (GBARD and tax credits) as a percentage of GDP

C_GUF: R&D financed from General University Funds (GUF) in national currency, million

C_GUFPPP: R&D financed from General University Funds (GUF) in current USD PPP, million

C_GUFPPPCT: R&D financed from General University Funds (GUF) in constant USD PPP, million

C_GUFXTOT: R&D financed from General University Funds (GUF) as a percentage of total GBARD

C_INDEX: Total GBARD in constant USD PPP, index 2007=100

C_INDKNOW: R&D budget for Industry and Knowledge (SDG) in national currency, million

C_INDKNOWPPPCT: R&D budget for Industry and Knowledge (SDG) in constant USD PPP, million

C_INDKNOWXGB: R&D budget for Industry and Knowledge (SDG) as a percentage of total Government support

C_INDKNOWXGDP: R&D budget for Industry and Knowledge (SDG) as a percentage of GDP

C_NC: Total GBARD in national currency, million

C_PLAN: R&D budget for Planet and Infrastructure (SDG) in national currency, million

C_PLANPPPCT: R&D budget for Planet and Infrastructure (SDG) in constant USD PPP, million

C_PLANXGB: R&D budget for Planet and Infrastructure (SDG) as a percentage of total Government support

C_PLANXGDP: R&D budget for Planet and Infrastructure (SDG) as a percentage of GDP

C_PPP: Total Government Allocations for R&D (GBARD) in current USD PPP, million

C_PPPCT: Total GBARD in constant USD PPP, million

C_SANTE: R&D budget for Health and Health/medical sciences in national currency, million

C_SANTEPPP: R&D budget for Health and Health/medical sciences in current USD PPP, million

C_SANTEPPPCT: R&D budget for Health and Health/medical sciences in constant USD PPP, million

C_SANTEXTOT: R&D budget for Health and Health/medical sciences as a percentage of total GBARD

C_SANTSOC: R&D budget for Health and Society (SDG) in national currency, million

C_SANTSOCPPPCT: R&D budget for Health and Society (SDG) in constant USD PPP, million

C_SANTSOCXGB: R&D budget for Health and Society (SDG) as a percentage of total Government support

C_SANTSOCXGDP: R&D budget for Health and Society (SDG) as a percentage of GDP

C_SEC: R&D budget for Defence in national currency, million

C_SECPPP: R&D budget for Defence in current USD PPP, million

C_SECPPPCT: R&D budget for Defence in constant USD PPP, million

C_SECXGB: R&D budget for Security (SDG) as a percentage of total Government support

C_SECXGDP: R&D budget for Security (SDG) as a percentage of GDP

C_SECXTOT: R&D budget for Defence as a percentage of total GBARD

C_XGDP: Total GBARD as a percentage of GDP

EXCH: Exchange rates (national currency per dollar)

GDP: Gross Domestic Product in national currency, million

GH_RS: Government researchers in headcount

GH_WRS: Women researchers in the Government sector (headcount)

GH_WRXRS: Percentage of women among Government researchers (based on headcount)

GP_RS: Government researchers in FTE

GP_RSXRS: Government researchers as a percentage of national total (based on FTE)

GP_TT: Government Total R&D personnel (FTE)

GP_TTXTT: Government Total R&D personnel as a percentage of national total (based on FTE)

GV_BRXGV: Basic research expenditure in the government sector as a percentage of total GOVERD (excluding not classified)

GV_FACT: GOVERD financed by the ROW in constant USD PPP, million

GV_FANC: GOVERD financed by the ROW in national currency, million

GV_FAPPP: GOVERD financed by the ROW in current USD PPP, million

GV_FAXGDP: GOVERD financed by the ROW as a percentage of GDP

GV_FB: GOVERD financed by the business enterprise sector in national currency, million

GV_FBCT: GOVERD financed by the business enterprise sector in constant USD PPP, million

GV_FBPPP: GOVERD financed by the business enterprise sector in current USD PPP, million

GV_FBXGDP: GOVERD financed by the business enterprise sector as a percentage of GDP

GV_FG: GOVERD financed by government in national currency, million

GV_FGCT: GOVERD financed by government in constant USD PPP, million

GV_FGPPP: GOVERD financed by government in current USD PPP, million

GV_FGXGDP: GOVERD financed by government as a percentage of GDP

GV_FON: GOVERD financed by the Higher Education and PNP sectors in national currency, million

GV_FONCT: GOVERD financed by the Higher Education and PNP sectors in constant USD PPP, million

GV_FONPPP: GOVERD financed by the Higher Education and PNP sectors in current USD PPP, million

GV_FONXGDP: GOVERD financed by the Higher Education and PNP sectors as a percentage of GDP

GV_GRO: GOVERD, compound annual real growth rate

GV_INDEX: GOVERD in constant USD PPP, index 2007=100

GV_NC: GOVERD in national currency, million

GV_PPP: Government Intramural Expenditure on R&D (GOVERD) in current USD PPP, million

GV_PPPCT: GOVERD in constant USD PPP, million

GV_XFA: GOVERD financed by the ROW as a percentage of total GOVERD

GV_XFB: GOVERD financed by the business enterprise sector as a percentage of total GOVERD

GV_XFG: GOVERD financed by government as a percentage of total GOVERD

GV_XFON: GOVERD financed by the Higher Education and PNP sectors as a percentage of total GOVERD

GV_XGDP: GOVERD as a percentage of GDP

G_ARXG: Applied research expenditure as a percentage of GERD (excluding not classified)

G_ARXGDP: Applied research expenditure as a percentage of GDP

G_BRXG: Basic research expenditure as a percentage of GERD (excluding not classified)

G_BRXGDP: Basic research expenditure as a percentage of GDP

G_CC: R&D total current costs in national currency, million

G_CCPPP: R&D total current costs in current USD PPP, million

G_CCPPPCT: R&D total current costs in constant USD PPP, million

G_CCXG: R&D total current costs as a percentage of total GERD

G_CCXGDP: R&D total current costs as a percentage of GDP

G_CCXTT: R&D total current costs per FTE R&D personnel

G_EDXG: Experimental development expenditure as a percentage of GERD (excluding not classified)

G_EDXGDP: Experimental development expenditure as a percentage of GDP

G_FA: GERD financed by the rest of the world in national currency, million

G_FACT: GERD financed by the rest of the world in constant USD PPP, million

G_FAPPP: GERD financed by the rest of the world in current USD PPP, million

G_FAXGDP: GERD financed by the rest of the world as a percentage of GDP

G_FB: GERD financed by the business enterprise sector in national currency, million

G_FBCT: GERD financed by the business enterprise sector in constant USD PPP, million

G_FBPPP: GERD financed by the business enterprise sector in current USD PPP, million

G_FBXGDP: GERD financed by the business enterprise sector as a percentage of GDP

G_FG: GERD financed by government in national currency, million

G_FGCT: GERD financed by government in constant USD PPP, million

G_FGPPP: GERD financed by government in current USD PPP, million

G_FGXGDP: GERD financed by government as a percentage of GDP

G_FON: GERD financed by the Higher Education and PNP sectors in national currency, million

G_FONCT: GERD financed by the Higher Education and PNP sectors in constant USD PPP, million

G_FONPPP: GERD financed by the Higher Education and PNP sectors in current USD PPP, million

G_FONXGDP: GERD financed by the Higher Education and PNP sectors as a percentage of GDP

G_GRO: GERD, compound annual real growth rate

G_INDEX: GERD in constant USD PPP, index 2007=100

G_KC: R&D capital costs in national currency, million

G_KCPPP: R&D capital costs in current USD PPP, million

G_KCPPPCT: R&D capital costs in constant USD PPP, million

G_KCXG: R&D capital costs as a percentage of total GERD

G_KCXGDP: R&D capital costs as a percentage of total GDP

G_LC: R&D labour costs for internal R&D personnel in national currency, million

G_LCPPP: R&D labour costs for internal R&D personnel in current USD PPP, million

G_LCPPPCT: R&D labour costs for internal R&D personnel in constant USD PPP, million

G_LCXG: R&D labour costs for internal R&D personnel as a percentage of total GERD

G_LCXGDP: R&D labour costs for internal R&D personnel as a percentage of GDP

G_LCXTT: R&D labor costs for internal R&D personnel per FTE R&D personnel

G_NC: GERD in national currency, million

G_OC: R&D other current costs in national currency, million

G_OCPPP: R&D other current costs in current USD PPP, million

G_OCPPPCT: R&D other current costs in constant USD PPP, million

G_OCXG: R&D other current costs as a percentage of total GERD

G_OCXGDP: R&D other current costs as a percentage of GDP

G_PPP: Gross Domestic Expenditure on R&D (GERD) in current USD PPP, million

G_PPPCT: GERD in constant USD PPP, million

G_XEB: BERD as a percentage of total GERD

G_XEG: GOVERD as a percentage of total GERD

G_XFA: GERD financed by the rest of the world as a percentage of total GERD

G_XFB: GERD financed by the business enterprise sector as a percentage of total GERD

G_XFG: GERD financed by government as a percentage of total GERD

G_XFON: GERD financed by the Higher Education and PNP sectors as a percentage of total GERD

HH_RS: Higher Education researchers in headcount

HH_WRS: Women researchers in the Higher Education sector (headcount)

HH_WRXRS: Percentage of women among Higher Education researchers (based on headcount)

HP_RSXRS: Higher Education researchers as a percentage of national total (based on FTE)

HP_TT: Higher Education Total R&D personnel (FTE)

HP_TTXTT: Higher Education Total R&D personnel as a percentage of national total (based on FTE)

H_BRXHE: Basic research expenditure in the higher education sector as a percentage of total HERD (excluding not classified)

H_FA: HERD financed by the rest of the world in national currency, million

H_FACT: HERD financed by the rest of the world in constant USD PPP, million

H_FAPPP: HERD financed by the rest of the world in current USD PPP, million

H_FAXGDP: HERD financed by the rest of the world as a percentage of GDP

H_FB: HERD financed by the business enterprise sector in national currency, million

H_FBCT: HERD financed by the business enterprise sector in constant USD PPP, million

H_FBPPP: HERD financed by the business enterprise sector in current USD PPP, million

H_FBXGDP: HERD financed by the business enterprise sector as a percentage of GDP

H_FG: HERD financed by government in national currency, million

H_FGCT: HERD financed by government in constant USD PPP, million

H_FGPPP: HERD financed by government in current USD PPP, million

H_FGUF: HERD financed from General University Funds (GUF) in national currency, million

H_FGUFCT: HERD financed from General University Funds (GUF) in constant USD PPP, million

H_FGUFPPP: HERD financed from General University Funds (GUF) in current USD PPP, million

H_FGUFXGDP: HERD financed from General University Funds (GUF) as a percentage of GDP

H_FGXGDP: HERD financed by government as a percentage of GDP

H_FON: HERD financed by the Higher Education and PNP sectors in national currency, million

H_FONCT: HERD financed by the Higher Education and PNP sectors in constant USD PPP, million

H_FONPPP: HERD financed by the Higher Education and PNP sectors in current USD PPP, million

H_FONXGDP: HERD financed by the Higher Education and PNP sectors as a percentage of GDP

H_INDEX: HERD in constant USD PPP, index 2007=100

H_PPP: Higher Education Expenditure on R&D (HERD) in current USD PPP, million

H_XFA: HERD financed by the rest of the world as a percentage of total HERD

H_XFB: HERD financed by the business enterprise sector as a percentage of total HERD

H_XFG: HERD financed by government as a percentage of total HERD

H_XFGUF: HERD financed from General University Funds (GUF) as a percentage of total HERD

H_XFON: HERD financed by the Higher Education and PNP sectors as a percentage of total HERD

PI: Implicit GDP Price Indices (2015 = 1.00)

PNP_GRO: PNPERD, compound annual real growth rate

PNP_INDEX: PNPERD in constant USD PPP, index 2007=100

PNP_PPP: Private non-profit expenditure on R&D (PNPERD) in current USD PPP, million

PPP: Purchasing Power Parities (national currency per dollar)

PPP_C: Purchasing Power Parities (national currency per dollar)

TH_WRXRS: Percentage of women among researchers (based on headcount)

TP_RSXEM: Total researchers (in FTE) per thousand total employment

TP_TTXEM: Total R&D personnel (FTE) per thousand total employment

VA: Value added of Industry in national currency, million


CPI country weights - OECD composition

DECIMALS: Decimals

OBS_STATUS: Observation status

UNIT_MULT: Unit multiplier

Zero

One

Ten

Eleven

Twelve

Thirteen

Fourteen

Fifteen

Two

Three

Four

Five

Six

Seven

Eight

Nine

[A] Normal value

B: Time series break

D: Definition differs

E: Estimated value

F: Forecast value

G: Experimental value

[H] Missing value; holiday or weekend

I: Value imputed by a receiving agency

J: Derogation

K: Data included in another category

L: Missing value; data exist but were not collected

M: Missing value; data cannot exist

N: Not significant

O: Missing value

P: Provisional value

Q: Missing value; suppressed

S: Strike and other special events

U: Low reliability

V: Unvalidated value

W: Includes data from another category

Units

Tens

Tens of billions

Hundreds of billions

Trillions

Tens of trillions

Hundreds of trillions

Quadrillions

Hundreds

Thousands

Tens of thousands

Hundreds of thousands

Millions

Tens of millions

Hundreds of millions

Billions

description: This dataset contains country weights used for calculation of Consumer Prices aggregates for OECD total and G7 area. The weights are based on relative share of individual final consumption expenditure of households and non-profit institutions serving households expressed in Purchasing Power Parities (PPPs).

FREQ: Frequency of observation

MEASURE: Measure

REF_AREA: Reference area

UNIT_MEASURE: Unit of measure

[A] Annual

A10: Decennial

A2: Biennial

A20: Bidecennial

A3: Triennial

A30: Tridecennial

A4: Quadrennial

A5: Quinquennial

A_3: Three times a year

B: Daily – business week

D: Daily

D_2: Twice a day

[H] Hourly

H2: Bihourly

H3: Trihourly

I: Irregular

M: Monthly

M2: Bimonthly

M_2: Semimonthly

M_3: Three times a month

N: Minutely

OA: Occasional annual

OM: Occasional monthly

Q: Quarterly

S: Half-yearly, semester

W: Weekly

W2: Biweekly

W3: Triweekly

W4: Four-weekly

W_2: Semiweekly

W_3: Three times a week

_O: Other

_U: Unspecified

_Z: Not applicable

CPI: Consumer price index

CPI_W: CPI country weights

IT_W: Item weights

[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

A5_X: Central America and the Caribbean unspecified

A9_X: Latin America and the Caribbean unspecified

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

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

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

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)

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_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


Climate Policy Uncertainty

0_TO_1: 0-1 scale

0_TO_10: 0-10 scale

0_TO_100: 0-100 scale

0_TO_4: 0-4 scale

0_TO_6: 0-6 scale

100HB: Per 100 inhabitants

100KM2: Per 100 square kilometres

100W: Per 100 women

10P2ADM: Per 100 admissions

10P2DLV: Per 100 deliveries

10P2PAT: Per 100 patients

10P3BR_L: Per 1 000 live births

10P3EMP: Per 1 000 employment

10P3EXP_CNSMR: Per 1 000 of consumer expenditure

10P3HB: Per 1 000 inhabitants

10P3LF: Per 1 000 of labour force

10P3PAT_Y_GE65: Per 1 000 patients aged 65 or over

10P3PS_FTE: Per 1 000 full-time equivalent persons

10P3USD: Per 1 000 US dollars

10P4VEH_MOT_ROAD: Per 10 000 road motor vehicles

10P5DSC: Per 100 000 discharges

10P5HB: Per 100 000 inhabitants

10P5PAT: Per 100 000 patients

10P6HB: Per 1 000 000 inhabitants

10P6USD: Per 1 000 000 US dollars

10P9VEHKM: Per 1 000 000 000 vehicle-kilometres

1_TO_5: 1-5 scale

AED: United Arab Emirates dirham

AFA: Afghanistan afghani (old)

AFN: Afghani

ALL: Lek

AMD: Armenian dram

ANG: Netherlands Antillian guilder

ANM: Animals

AOA: Kwanza

AON: Angolan kwanza (old)

AOR: Angolan kwanza readjustado (old)

ARS: Argentine peso

ATS: Austrian schilling

AUD: Australian dollar

AWG: Aruban guilder

AZM: Azerbaijanian manat (old)

AZN: Azerbaijanian manat

BAM: Bosnia and Herzegovina convertible mark

BBD: Barbados dollar

BBL_US: Barrels

BBL_US_D: Barrels per day

BBL_US_T: Barrels per tonne

BD: Beds

BDT: Taka

BEF: Belgian franc

BEL: Belgian franc (financial)

BGL: Bulgarian lev (old)

BGN: Bulgarian lev

BHD: Bahraini dinar

BIF: Burundi franc

BMD: Bermudian dollar

BND: Brunei dollar

BOB: Boliviano

BOV: Mvdol

BR: Births

BRL: Brazilian real

BR_L_W: Live births per woman

BR_W: Births per 1 000 women

BSD: Bahamian dollar

BTN: Ngultrum

BWP: Pula

BYB: Belarussian rouble (old)

BYN: Belarussian ruble

BYR: Belarus ruble

BZD: Belize dollar

C: Degrees celsius

CAD: Canadian dollar

CAL: Calories

CAL_PS_D: Calories per person per day

CDF: Congolese franc

CENT: Euro cent

CFA: CFA franc

CG_SM_D: Cigarettes per smoker per day

CH: Children

CHE: WIR euro

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

description:
The CPU database proposes a new indicator of Climate Policy Uncertainty (CPU) based on newspaper coverage frequency.

          The indicator spikes near major political events and during major discussions around potentially significant climate policy changes. Using a global firm-level dataset, the empirical analysis shows that Climate Policy Uncertainty is associated with economically and statistically significant decreases in investment, particularly in pollution-intensive sectors that are most exposed to climate policies, and among capital intensive companies.
More information : Berestycki, C., et al. (2022), "Measuring and assessing the effects of climate policy uncertainty", OECD Economics Department Working Papers, No. 1724, OECD Publishing, Paris. .

           https://doi.org/10.1787/34483d83-en .

          Contact : eco.contact@oecd.org

CPU_NEGATIVE: CPU towards less climate action or a weakening of climate policy

CPU_POSITIVE: CPU towards more climate action or a strengthening of climate policy

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


Child well-being

BASE_PER: Base period

POP_GROUP: Population group

CHILD_0T14: Children aged 0 to 14

CHILD_0T15: Children aged 0 to 15

CHILD_0T17: Children aged 0 to 17

CHILD_0T2: Children aged 0 to 2

CHILD_0T5: Children aged 0 to 5

CHILD_1T15: Children aged 1 to 15

STUDENT_10: Students at age 10

STUDENT_11_13_15: Students at ages 11, 13, and 15

STUDENT_15: Students at age 15

YOUTH_15T29: Young people aged 15 to 29

description: This dataset contains key internationally comparable indicators on children’s well being outcomes, a range of additional context indicators on important drivers of child well being, and child relevant public policies. The dataset is built using the latest available data from OECD databases and a range of leading international child surveys and data collection programmes. Indicators are selected based on a multi-dimensional and forward looking approach to child well-being, centred on the idea that children should be able to both enjoy a “good” positive childhood in the here and now, and have the opportunity to develop skills and abilities that set them up well for the future. While the data look to cover the well-being of children of all ages, limitations in data availability mean that most indicators focus on those in middle childhood and adolescence. This dataset represents a selection of headline indicators from the OECD Child Well-being Data Portal, a tool for policy makers and the public to monitor countries’ efforts to promote child well being. It is built on the OECD's Child Well-being Measurement Framework as set out in the OECD's 2021 report Measuring What Matters for Child Well-being and Policies.

B2: Life at school and early education and care

C4: Education and early childhood and education care policies

A1_2: Children experiencing severe housing deprivation

A1_3: Children experiencing child-specific material deprivation

A1_4: Students who report not having an internet connection at home

A2_3: Students who report doing the WHO-recommended daily exercise

A2_4: Students who rate their own health as fair or poor

A2_5: Children living with limitations in activities due to health problems

A3_3: Top performers in reading, maths and/or science

A3_4: Students who expect to complete tertiary education

A3_5: Youth not in education, employment or training (NEET)

A4_1: Students who report feeling high support from their family

A4_4: Students who report multiple subjective health complaints

A4_5: Students who believe their life has meaning and purpose

A4_6: Students who report high satisfaction with their life as a whole

B1_1: Children living in relative income poverty

B1_2: Financial vulnerability rates in households with children

B1_3: Students who often participated in early learning activities with parents when young

B1_4: Students who report finding it difficult to talk to their parents

B1_5: Students who firmly report that their parents encourage them to be confident

B2_1: Children enrolled in early childhood education and care

B2_2: Students enrolled in schools with high staff shortages

B2_3: Students who report a poor relative disciplinary climate in their classroom

B2_4: Students who report experiencing bullying at school

B2_5: Students who feel like they belong at school

B3_1: Students who feel that they have enough friends

B3_2: Students who feel supported by their friends

B3_3: Students who report engaging in voluntary work

B3_4: Students who believe there are enough places to play in their area

B3_5: Children in households that report crime and violence in their local area

B4_1: Students who report problematic social media use

B4_2: Students who report having been a victim of cyber-bullying

B4_3: Students who firmly believe the Internet is a great resource for information

C1_1: Public expenditure on families per child

C1_2: Difference between before- and after-tax and transfer child relative income poverty rates

C1_3: Guaranteed minimum income for a jobless couple with two children

C1_4: Total length of paid maternity and parental leave available to mothers

C1_5: Total length of paid paternity and parental leave reserved for fathers

C2_1: General government expenditure on housing and community amenities per person

C2_2: General government expenditure on recreation, culture and religion per person

C2_3: General government expenditure on housing social protection per person

C3_1: Government and compulsory contributory health insurance expenditure on health per person

C3_2: Children less than one year old who have received three doses of the combined diphteria-tetanus-pertussis (DPT) vaccine

C3_3: Children less than one year old who have received at least one dose of measles-containing vaccine

C4_1: Public expenditure on early childhood education and care per child

C4_2: Typical net childcare costs for parents using centre-based care, two children in full-time care, two-earner couple on low earnings

C4_3: Students to teaching staff in pre-primary education services (public and private), based on full-time equivalents

C4_4: Public expenditure on primary, secondary and post-secondary non-tertiary education per full-time equivalent student

C4_5: Public expenditure on ancillary education services in primary, secondary and post-secondary non-tertiary education per full-time equivalent student

C4_6: Students to teaching staff in secondary education services (public and private), based on full-time equivalents

C5_1: General government expenditure on environment protection per person


DAC1: Flows by donor (ODA+OOF+Private)

description:
This database provides aggregates on official development assistance (ODA), other official flows (OOF) and flows from non-governmental organisations (NGOs) or philanthropic foundations. These statistics are shown by provider over time.

To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

DONOR: Donor

FLOW_TYPE: Flow type

PRICE_BASE: Price base

SECTOR: Sector

TYING_STATUS: Tying status

1UN0: United Nations

1UN001: Central Emergency Response Fund [CERF]

1UN002: COVID-19 Response and Recovery Multi-Partner Trust Fund [UN COVID-19 MPTF]

1UN003: Food and Agriculture Organisation [FAO]

1UN004: IFAD

1UN005: International Atomic Energy Agency [IAEA]

1UN006: International Labour Organisation [ILO]

1UN007: Joint Sustainable Development Goals Fund [Joint SDG Fund]

1UN008: UN Capital Development Fund [UNCDF]

1UN009: UN Fund For Congo

1UN010: UN Institute for Disarmament Research [UNIDIR]

1UN011: UN Peacebuilding Fund [UNPBF]

1UN012: UN Women

1UN013: UNAIDS

1UN014: UNDP

1UN015: UNECE

1UN016: UNEP

1UN017: UNFPA

1UN018: UNHCR

1UN019: UNICEF

1UN020: United Nations Conference on Trade and Development [UNCTAD]

1UN021: United Nations Industrial Development Organization [UNIDO]

1UN022: UNRWA

1UN023: UNTA

1UN024: WFP

1UN025: WHO-Strategic Preparedness and Response Plan [SPRP]

1UN026: World Health Organisation [WHO]

1UN027: World Tourism Organisation [UNWTO]

1UN028: World Trade Organisation

1UN029: WTO - International Trade Centre [ITC]

1UN030: UN Development Coordination Office

1UN999: Other UN

4EU001: EU Institutions

4EU002: European Commission [EC]

4EU003: European Development Fund [EDF]

4EU004: European Investment Bank [EIB]

4EU999: Other EU institutions

5AFDB0: African Development Bank

5AFDB001: African Development Bank [AfDB]

5AFDB002: African Development Fund [AfDF]

5ASDB0: Asian Development Bank

5ASDB01: Asian Development Bank [AsDB]

5ASDB02: AsDB Special Funds

5IDB0: Inter-American Development Bank

5IDB001: Inter-American Development Bank [IDB]

5RDB001: Asian Infrastructure Investment Bank [AIIB]

5RDB002: Black Sea Trade & Development Bank [BSTDB]

5RDB003: Central American Bank for Economic Integration [CABEI]

5RDB005: Council of Europe Development Bank [CEB]

5RDB007: European Bank for Reconstruction and Development [EBRD]

5WB001: International Bank for Reconstruction and Development [IBRD]

5WB002: International Development Association [IDA]

5WB004: Multilateral Investment Guarantee Agency [MIGA]

9OTH002: Arab Bank for Economic Development in Africa [BADEA]

9OTH004: Asian Forest Cooperation Organisation [AFoCO]

9OTH007: Credit Guarantee and Investment Facility

9OTH008: Eurasian Fund for Stabilization and Development [EFSD]

9OTH009: Global Alliance for Vaccines and Immunization [GAVI]

9OTH010: Global Energy Efficiency and Renewable Energy Fund

9OTH016: International Centre for Genetic Engineering and Biotechnology [ICGEB]

9OTH017: International Commission on Missing Persons [ICMP]

9OTH020: OPEC Fund for International Development [OPEC Fund]

9OTH022: Private Infrastructure Development Group

9OTH023: World Organisation for Animal Health [WOAH]

9PRIV1619: John D. and Catherine T. MacArthur Foundation

9PRIV1648: Leona M. and Harry B. Helmsley Charitable Trust

Offsetting entry for debt relief (OOF claims, principal)

Offsetting entry for debt relief (private claims, principal)

Memo: PSI institutional approach, grant equivalents of individual PSI activities

Memo: PSI instrument approach, capital increases of ODA-eligible PSI vehicles

Memo: PSI outstanding ODA equities upon transition to grant equivalent measurement ex ante

Memo: PSI decapitalisations and dividends paid to the government

Official Development Assistance (ODA), grant equivalent

Bilateral loans to LDCs & OLICs, grant equivalent

Bilateral loans to LMICs, grant equivalent

Bilateral loans to UMICs, grant equivalent

Bilateral loans for multi-country agreements, grant equivalent

Private sector instruments - institutional approach

Private sector instruments - instrument approach

Private sector instruments (PSI), grant equivalent

PSI institutional approach, capital increases of ODA-eligible PSI vehicles, grant equivalents

PSI instrument approach, individual PSI activities, grant equivalents

PSI Decapitalisations and dividends paid to the government

Bilateral core contributions & pooled programmes & funds

Core support to NGOs, other private bodies, PPPs & research institutes

Multilateral grants and capital subscriptions, Grant equivalent

Core support to donor country-based NGOs & civil society

Core support to international NGOs (including developing country-based NGOs)

Core support to Public-Private Partnerships (including networks)

Other core contributions & pooled programmes & funds

Specific-purpose programmes & funds managed by international organisations

Memo: Cost of donor experts included in projects (optional reporting)

Memo: Projects qualifying as programme-based approaches

Scholarships and student costs in donor countries

Debt forgiveness and rescheduling, ODA claims (for loans, only capitalised interest)

Debt forgiveness and rescheduling, OOF claims

Debt forgiveness and rescheduling, claims of officially supported export credits

Debt forgiveness and rescheduling, private claims

Offsetting entry for debt forgiveness (principal ODA claim)

Memo: Offsetting entry for forgiven interest (interest ODA claim)

Administrative costs not included elsewhere

Refugees in donor countries, of which: Support to refugees and asylum seekers in other provider countries

Recoveries on bilateral ODA grants / negative commitments

Memo: Free-standing technical co-operation (FTC)

Memo: ODA channelled through private entities

Memo: ODA channelled through multilateral organisations

Memo: Post-conflict peacebuilding operations

ODA as percent of GNI, net disbursements

Multilateral ODA (capital subscriptions are included with grants)

Total participation in peacebuilding operations (incl. non-ODA)

Recoveries on multilateral ODA grants and capital subscriptions / negative commitments

Through equity investments, of which shares in CIVs

Memo: Investment-related transactions, of which to the private sector

Memo: 1. Development finance in blended finance packages, of which through funds and facilities

Memo: 2. Amounts mobilised from the private sector

Memo: 2. Amounts mobilised from the private sector, of which through guarantees

Other claims and grants (includes developmental OOF loans)

Other reimbursements on previously OOF rescheduled loans

Flows as per cent of GNI, net disbursements

Claims of officially supported export credits

Offsetting entry for PSI reported using the institutional approach

Offsetting entry for debt relief (export credit claims, principal)

Officially guaranteed or insured export credits

Transactions with multilateral agencies at market terms

Purchase of securities from issuing agencies

Private sector instruments (PSI) (flows)

PSI, equities and shares in collective investment vehicles

Direct investment, of which: New capital outflows

Memo: Other official flows + Export credits

Memo: - Offsetting entry for forgiven interest (OOF claims, interest)

Memo: - Interest received on OOF, total (bilat.+multilat.)

Memo: - Interest received on OOF (Bilateral)

Memo: - Interest received on OOF (Multilateral)

Other ODA not assigned to the above categories (historical series)

Education policy and administrative management

Advanced technical and managerial training

Health policy and administrative management

Control of harmful use of alcohol and drugs

Promotion of mental health and well-being

Research for prevention and control of NCDs

Population policies/Programmes & reproductive health

Population policy and administrative management

Personnel development for population and reproductive health

Water sector policy and administrative management

Water resources conservation (including data collection)

Water supply and sanitation - large systems

Basic drinking water supply and basic sanitation

Education and training in water supply and sanitation

Public sector policy and administrative management

Decentralisation and support to subnational government

Anti-corruption organisations and institutions

Democratic participation and civil society

Women's rights organisations and movements, and government institutions

Facilitation of orderly, safe, regular and responsible migration and mobility

Civilian peace-building, conflict prevention and resolution

Participation in international peacekeeping operations

Removal of land mines and explosive remnants of war

Child soldiers (prevention and demobilisation)

Other social infrastructure and services

Housing policy and administrative management

Multisector aid for basic social services

Transport policy and administrative management

Education and training in transport and storage

Communications policy and administrative management

Information and communication technology (ICT)

Energy policy and administrative management

Energy conservation and demand-side efficiency

Energy generation, renewable sources - multiple technologies

Solar energy for isolated grids and standalone systems

Energy generation, non-renewable sources

Energy generation, non-renewable sources, unspecified

Fossil fuel electric power plants with carbon capture and storage (CCS)

Non-renewable waste-fired electric power plants

Nuclear energy electric power plants and nuclear safety

Electric power transmission and distribution (centralised grids)

Electric power transmission and distribution (isolated mini-grids)

Retail distribution of liquid or solid fossil fuels

Financial policy and administrative management

Remittance facilitation, promotion and optimisation

Education/training in banking and financial services

Agricultural policy and administrative management

Plant and post-harvest protection and pest control

Forestry policy and administrative management

Fishing policy and administrative management

Industrial policy and administrative management

Small and medium-sized enterprises (SME) development

Mineral/mining policy and administrative management

Construction policy and administrative management

Trade policy and administrative management

Tourism policy and administrative management

Environmental policy and administrative management

Food security policy and administrative management

Commodity aid / General programme assistance

Relief co-ordination and support services

Reconstruction relief and rehabilitation

Immediate post-emergency reconstruction and rehabilitation

Administrative costs (non-sector allocable)

Refugees/asylum seekers  in donor countries (non-sector allocable)

Promotion of development awareness (non-sector allocable)

Memo: Untied bilateral commitments - LDCs and non-LDC HIPCs, incl. FTC


DAC5: Aid (ODA) by sector and donor

description:
This database provides aggregates on official development assistance (ODA) or other official flows (OOF), as well as flows from philanthropic foundations. These statistics are shown by sector and provider over time

To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

Memo: 1. Development finance in blended finance packages


DAC7B: Aid (ODA) tying status

description: Table DAC 7b is used to report the tying status of bilateral ODA commitments. Members have agreed that administrative costs and technical co-operation expenditure should be disregarded in assessing the percentages of tied, partially untied and untied aid. These items should therefore not be included in the data reported in this table.


Country programmable aid (CPA)

Amounts mobilised

Disbursements, gross

Disbursements, grants

Disbursements, non-grants

Disbursements received

Disbursements, net

Commitments

Commitments, grants

Commitments, non-grants

Grant equivalents

Amounts mobilised for climate

C: Commitments

D: Disbursements

_T: Total

description: CPA is the proportion of aid that is subjected to multi-year programming at country level, and hence represent a subset of ODA outflows. It takes as a starting point data on gross ODA disbursements by recipient but excludes spending which is: 1. inherently unpredictable (humanitarian aid and debt relief); or 2. entails no flows to the recipient country (administration costs, student costs, development awareness and research and refugee spending in donor countries); or 3. is usually not discussed between the main donor agency and recipient governments (food aid, aid from local governments, core funding to NGOs, aid through secondary agencies, ODA equity investments and aid which is not allocable by country); 4. CPA does not net out loan repayments, as these are not usually factored into aid allocation decisions. CPA is therefore a gross concept.

RECIPIENT: Recipient

5IDB002: IDB Special Oper. Fund

5IDB003: IDB Invest

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

Official development assistance (ODA), disbursements

Associated financing/interest subsidies, disbursements

Memo: capital subscriptions, encashment basis

Offsetting entries for debt relief (ODA claims)

Offsetting entries for debt relief (export credit claims)

Offsetting entries for debt relief (OOF claims)

Official development assistance (ODA), commitments

Associated financing/interest subsidies, commitments

Memo: Gross outflows from private sources (e.g. NGOs)

Offsetting entries for debt relief (private claims)


description:
Destination of Official Development Assistance Disbursements. Geographical breakdown by donor, recipient and for some types of aid (e.g. grant, loan, technical co-operation) on a disbursement basis (i.e. actual expenditures). The data cover flows from all bilateral and multilateral donors and philanthropic foundations.

To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

name: DAC2A: Aid (ODA) disbursements to countries and regions


description:
Other official flows are official sector transactions which do not meet the ODA criteria, e.g.: i.) Grants to developing countries for representational or essentially commercial purposes;  ii.) Official bilateral transactions intended to promote development but having a grant element of less than 25 per cent;  iii.) Official bilateral transactions, whatever their grant element, that are primarily export-facilitating in purpose. This category includes by definition export credits extended directly to an aid recipient by an official agency or institution ("official direct export credits");  iv.) The net acquisition by governments and central monetary institutions of securities issued by multilateral development banks at market terms;  v.) Subsidies (grants) to the private sector to soften its credits to developing countries [see Annex 3, paragraph A3.5.iv)b)];  vi.) Funds in support of private investment.

To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

name: DAC2B: Other official flows (OOF) and export credits


description:
A commitment is a firm written obligation by a government or official agency, backed by the appropriation or availability of the necessary funds, to provide resources of a specified amount under specified financial terms and conditions and for specified purposes for the benefit of a recipient country or a multilateral agency. Members unable to comply with this definition should explain the definition that they use.
-- Commitments are considered to be made at the date a loan or grant agreement is signed or the obligation is otherwise made known to the recipient (e.g. in the case of budgetary allocations to overseas territories, the final vote of the budget should be taken as the date of commitment). For certain special expenditures, e.g. emergency aid, the date of disbursement may be taken as the date of commitment.
-- Bilateral commitments comprise new commitments and additions to earlier commitments, excluding any commitments cancelled during the same year. Cancellations and reductions in the year reported on of commitments made in earlier years are reported in the CRS, but not in the DAC questionnaire.
-- In contrast to bilateral commitments, commitments of capital subscriptions, grants and loans to multilateral agencies should show the sum of amounts which are expected to be disbursed before the end of the next year and amounts disbursed in the year reported on but not previously reported as a commitment. For capital subscriptions in the form of notes payable at sight, enter the expected amount of deposits of such notes as the amount committed.

To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

name: DAC3A: Aid (ODA) commitments to countries and regions


description:
Private transactions are those undertaken by firms and individuals resident in the reporting country.

To assist with the transition between systems, we provide a mapping of codes between OECD.Stat (legacy) and the OECD Data Explorer.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

name: DAC4: Private direct investment and other private capital


description:
Official Development Financing (ODF), measured for recipient countries only, is defined as the sum of their receipts of bilateral ODA, concessional and non-concessional resources from multilateral sources, and bilateral other official flows made available for reasons unrelated to trade, in particular loans to refinance debt.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.

name: Official development financing (ODF) by country and region


Official flows by country and region

description:
Official Flows: the sum of Official Development Assistance (ODA) and Other Official Flows (OOF) represents the total (gross or net) disbursements by the official sector at large to the recipient country shown.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.


Receipts by country and region

description:
Receipts, Net: in addition to Official Development Assistance, this heading includes in particular: other official bilateral transactions which are not concessional or which, even though they have concessional elements, are primarily trade facilitating in character (i.e., "Other Official Flows''); changes in bilateral long-term assets of the private non-monetary and monetary sectors, in particular guaranteed export credits, private direct investment, portfolio investment and, to the extent they are not covered in the preceding headings, loans by private banks. Flows from the multilateral sector which are not classified as concessional are also included here.

For more information on these flows, please see the OECD’s main page on development finance statistics, including Frequently Asked Questions (FAQs) on ODA. See the Converged Statistical Reporting Directives governing these data.


CONF_STATUS: Confidentiality status

[A] Primary confidentiality due to small counts

C: Confidential statistical information

D: Secondary confidentiality set by the sender, not for publication

E: Not for publication, restricted for internal use only (equivalent to the code N) until the embargo time elapses; Free for publication (equivalent to the code F) after the embargo time elapses.

F: Free (free for publication)

G: Primary confidentiality due to dominance by one or two units

M: Primary confidentiality due to data declared confidential based on other measures of concentration

O: Primary confidentiality due to dominance by one unit

S: Secondary confidentiality set and managed by the receiver, not for publication

T: Primary confidentiality due to dominance by two units

X: Confidentiality due to military secrecy

description:
This dataset includes data for 2021, on total expenditure of subnational governments by functions, based on the Classification of the Functions of Government (COFOG). The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

COFOG: Function of government

SECTOR: Institutional sector

SIZE_CLASS: Size class

STATISTICAL_OPERATION: Statistical operation

GF01: General public services

GF0101: Executive and legislative organs, financial and fiscal affairs, external affairs

GF0102: Foreign economic aid

GF0103: General services

GF0104: Basic research

GF0105: R&D General public services

GF0106: General public services n.e.c.

GF0107: Public debt transactions

GF0108: Transfers of a general character between different levels of government

GF02: Defence

GF0201: Military defence

GF0202: Civil defence

GF0203: Foreign military aid

GF0204: R&D Defence

GF0205: Defence n.e.c.

GF03: Public order and safety

GF0301: Police services

GF0302: Fire-protection services

GF0303: Law courts

GF0304: Prisons

GF0305: R&D Public order and safety

GF0306: Public order and safety n.e.c.

GF04: Economic affairs

GF0401: General economic, commercial and labour affairs

GF0402: Agriculture, forestry, fishing and hunting

GF0403: Fuel and energy

GF0404: Mining, manufacturing and construction

GF0405: Transport

GF0406: Communication

GF0407: Other industries

GF0408: R&D Economic affairs

GF0409: Economic affairs n.e.c.

GF05: Environmental protection

GF0501: Waste management

GF0502: Waste water management

GF0503: Pollution abatement

GF0504: Protection of biodiversity and landscape

GF0505: R&D Environmental protection

GF0506: Environmental protection n.e.c.

GF06: Housing and community amenities

GF0701: Medical products, appliances and equipment

_TXGF01_04_05_06_09: All functions excluding general public services, economic affairs, environmental protection, housing and community amenities and education

_TXGF01_04_07_09_10: All functions excluding general public services, economic affairs, health, education and social protection

_TXGF07_09: All functions excluding health and education

S110011: Public non-financial corporations, which are part of domestic multinationals

S11001C: Public non-financial corporations controlled by central government

S11002: National private non-financial corporations

S110021: National private non-financial corporations, which are part of domestic multinationals

S11003: Foreign controlled non-financial corporations

S11B: Head offices of non-financial corporations

S11DO: Domestically controlled non-financial corporations

S120011: Public financial corporations, which are part of domestic multinationals

S12001C: Public financial corporations controlled by central government

S120021: National private financial corporations which are part of domestic multinationals

S12003: Foreign controlled financial corporations

S122: Deposit taking corporations, except the Central Bank

S12201: Public deposit taking corporations, except the Central Bank

S12202: National private deposit taking corporations, except the Central Bank

S12203: Foreign controlled deposit taking corporations, except the Central Bank

S122A: Banks headquartered in the reporting country or currency area

S122B: Banks headquartered outside the reporting country or currency area

S122Z: Deposit-taking corporations except the central bank and excluding electronic money institutions principally engaged in financial intermediation

S12402: National private non-MMF investment funds

S12403: Foreign controlled non-MMF investment funds

S124A1: Non-MMFs Open end funds - Real estate funds

S124A4: Non-MMFs Open end funds - Mixed or balanced funds

S125: Other financial intermediaries, except insurance corporations and pension funds

S12501: Public other financial intermediaries, except insurance corporations and pension funds

S12502: National private other financial intermediaries, except insurance corporations and pension funds

S12503: Foreign controlled other financial intermediaries, except insurance corporations and pension funds

S125A: Financial vehicle corporations engaged in securitisation

S125B: Financial corporations engaged in lending

S125E1: Central clearing counterparties, which are part of other OFIs

S125W: Other financial corporations excluding financial vehicle corporations

S12603: Foreign controlled financial auxiliaries

S127: Captive financial institutions and money lenders

S12701: Public captive financial institutions and money lenders

S12702: National private captive financial institutions and money lenders

S12703: Foreign controlled captive financial institutions and money lenders

S1272: Corporate groups’ captive financial entities

S1272A: Of which: Foreign owned SPE-type captives

S1273: Other captive finance companies and money lenders

S12803: Foreign controlled insurance corporations

S128B: Life insurance corporations excluding reinsurance corporations

S128C: Non-life insurance corporations excluding reinsurance corporations

S128D: Composite life and non-life insurance corporations excluding reinsurance corporations

S12A: Banks and other financial institutions headquartered in the reporting country or currency area

S12B: Banks and other financial institutions headquartered outside the reporting country or currency area

S12D: Financial corporations other than central banks

S12DO: Domestically controlled financial corporations

S12L9: Other funds (other than equity, bond, mixed, real estate and hedge funds)

S12N: Other financial institutions (Financial corporations other than MFIs, insurance corporations, pension funds and financial auxiliaries)

S12O: Other financial institutions (Financial corporations other than MFIs, insurance corporations, pension funds and non-MMFs Investment Funds)

S12P: Other financial institutions (Financial corporations other than MFIs, insurance corporations and pension funds)

S12Q: Insurance corporations and Pension Funds

S12T: Monetary financial institutions other than central bank

S12V: Financial corporations other than central banks and credit institutions

S13112: Central government, extra-budgetary units

S1313RG: Regional government (unitary countries only)

S13142: Social security funds, extra-budgetary units

S1315: European institutions and bodies (EU accounts)

S1321: Central government including social security

S1322: State government including social security

S1323: Local government including social security

S133: General government non-profit institutions

S1331: Central government non-profit institutions

S1332: State government non-profit institutions

S1333: Local government non-profit institutions

S134: General government involved in monetary policy operations

S13O: General government, except central government

S13P: General government, except state government

S13R: General government, except local government

S13T: General government, except social security funds

S144: Recipients of property and transfer income

S15: Non-profit institutions serving households

S1G: All resident sectors excluding financial intermediaries (CDIS)

S1H: Issuer headquartered in the reporting country or currency area

S1L: General government, households and non-profit institutions serving households

S1M: Households and non-profit institutions serving households (NPISH)

S1MU: Other households and non-profit institutions serving households (sub-sector not identified)

S1O: Other sectors than MFIs and central government

S1P: Other sectors than MFIs and general government

S1R: Non-financial sectors, except households

S1S: Non-financial corporations, general government and households and NPISH

S1T: Non-financial corporations and general government

S1U: Non-financial sectors, except central government

S1V: Non-financial corporations, households and NPISH

S1Z: Sectors other than deposit-taking corporations and general government (Other Sectors - BPM6)

S1ZL: Other sectors than central bank and general government

S1ZO: Other sectors including non-financial corporations, money market funds, non-MMF investment funds, OFIs, insurance corporations, pension funds, general government or a central bank

S1ZQ: Other sectors than social security funds

S1ZR: Other sectors than financial corporations and general government

S1ZT: National private financial and non-financial corporations

S1ZU: Sectors other than central bank, credit institutions and general government

S1ZV: All sectors other than households and NPISH

SZP: Other than general government, clearing and settlement organisations and other financial institutions

SZU: Institutions of the European Union (ESA GFS concept)

SZV: General government and institutions of the European Union (ESA GFS concept)

name: Subnational government expenditure by functional classification (COFOG)


N: Not for publication, restricted for internal use only

description:
This dataset includes data for 2021 on direct investment of subnational governments by functions, based on the Classification of the Functions of Government (COFOG) of the National Accounts. The COFOG includes ten categories: general public services; defence; public order and safety; economic affairs; environmental protection; housing and community amenities; health; recreation, culture and religion; education; and social protection.

This dataset provides data for general public services; economic affairs; environmental protection; housing and community amenities; education; and "other" (which includes: defence; public order and safety; health; recreation, culture and religion; and social protection).

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

name: Subnational government investment by functional classification (COFOG)


description:
This dataset includes subnational government debt expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public debt.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

name: Subnational government budget balance and debt


description:
This dataset includes overall socio-economic indicators such as GDP and GDP growth rate, population, and land area (corresponding to Total Surface Area).

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

name: Subnational government structure and finance: socio-economic indicators


Subnational government expenditure

description:
This dataset includes subnational government expenditure expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public expenditure.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).


description:
This dataset includes sub-categories of expenditure by economic classification based on the System of National Accounts. It distinguishes between current expenditure (inclduing compensation of employees, current social expenditures, subsidies and current transfers) and capital expenditure (including direct investment).

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

name: Subnational government expenditure by economic classification


Subnational government investment

description:
This dataset includes subnational government investment expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public investment.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).


Subnational government revenue

description:
This dataset includes subnational government revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public revenue.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).


description:
This dataset includes sub-categories of revenue based on the System of National Accounts, including tax revenue, grants and subsidies, tariffs and fees, property income, and social contributions.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

name: Subnational government revenue by category


Number of subnational governments

description:
This dataset includes data on the number of subnational governments in each country, distinguishing between municipal, intermediate and regional governments (when relevant).

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).


description:
This dataset includes data on average and median municipal population size, and the share of municipalities by size classes, distinguishing between the following categories: less than 2 000 inhabitants, between 2 000 and 4 999 inhabitants, between 5 000 and 19 999 inhabitants, and more than 20 000 inhabitants.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).

name: Municipal level government by population size


Subnational tax revenue

description:
This dataset includes subnational government tax revenue expressed in several units of measures: USD PPP, USD PPP per capita, percentage of GDP, and percentage of total public tax revenue.

The Subnational Government Structure and Finance Dashboard compiles several datasets with comparable data on institutional organisation and public finance at subnational government level. It provides data for the year 2022 (or latest year available), for all 38 OECD member countries, and the average for the European Union. It includes data for the subnational government sector (for both state and local government levels).


CREDIT_PROV: Credit provider

CURRENCY_MULTI: Multiple currencies

DATA_AVAIL: Data source

DEF_EVENT_COND: Default event conditions

DISPUTE_RES_MECH: Dispute resolution mechanism

EMBARGO_TIME: Embargo time

FIN_DOC_LAW: Financing document law

FIN_PURPOSE: Financing purpose

GRACE_PERIOD: Grace period

GUARANTOR_BENEF: Guarantee beneficiaries

GUARANTOR_NAME: Guarantor name

ISIN: ISIN

LEAD_PROV: Lead provider

ORIG_CURR_VALUE: Gross amount in financing document's currency

PRICE_ISSUANCE: Price at issuance

REF_RATE_BENCHMARK: Reference rate benchmark

REPAY_PROFILE_TIME: Repayment profile

REPO_COLL: Repo collateral

SUSTAINABILITY: Sustainability

TRANS_INSUR: Transaction insurance

TRANS_REPAY: Transaction repayment

WAIVER_IMMUN: Waiver of immunity

YIELD_MATURITY: Yield to Maturity at issuance

BLBRG: Bloomberg

CB: Commercial bank

DLGC: Dealogic

RFNTV: Refinitiv

AE: Annual (estimated)

B: Daily – businessweek

CIRR: CIRR

EONIA: EONIA

EURIBOR: Euribor

LIBOR: LIBOR

[A] Amortized

M: At maturity

description: The data shows the individual transactions’ level data that is also used for the aggregate measures. The amount shown is in US dollars. More information on the transaction can be seen on the asterisk on the right and the download of all data is possible by downloading the unfiltered data (CSV). The DD ID is an internal measure to identify the transactions.

CLAIM_RANK: Claim ranking

CURRENCY: Currency

DD_ID: DD ID

FIN_TYPE: Financing type

INTEREST_RATE: Interest rate

INTEREST_RATE_TYPE: Interest rate type

RECIPIENT_TYPE: Recipient type

JUN_SUB: Junior Subordinated

SEC: Secured

SEN_SEC: Senior Secured

SEN_SUBORDIN: Senior Subordinated

SEN_UNSEC: Senior Unsecured

SUB: Subordinated

UNSEC: Unsecured

AFN: Afghan afghani

ALL: Albanian lek

ANG: Netherlands Antillean guilder

AOA: Angolan kwanza

AWG: Aruban florin

AZN: Azerbaijani manat

BDT: Bangladeshi taka

BIF: Burundian franc

BTN: Bhutanese ngultrum

BWP: Botswana pula

BYN: Belarusian ruble

CHF: Swiss franc

CLP: Chilean peso

CNY: Chinese yuan

COP: Colombian peso

CRC: Costa Rican colon

CUC: Cuban convertible peso

CUP: Cuban peso

PPP: Transactions with private parties in PPP projects

_OT: Other forms of asset backed lending, whether secured by commodities revenues, gold loans/swaps or otherwise

IRGT0T3: Greater than 0% and less than or equal to 3% p.a.

IRGT3T8: Greater than 3% and less than or equal to 8% p.a.

IRGT8T11: Greater than 8% and less than or equal to 11% p.a.

name: Debt Transparency Individual Transactions


Debt Transparency Aggregates

description: The aggregates include two measures of debt data. Gross debt outstanding (USD) comprises the internally calculated outstanding debt by country in US Dollars, while Gross amount of new financing includes the countries’ new financing amount for each year. The aggregates reflect the data available to the OECD and do not intend to reflect exactly the debt situation of the countries included. By clicking on the chosen datapoint, users will be able to see the underlying transactions constituting the aggregates.

DD_DIM: Drilldown technical dimension

STC: Share of transactions in a given currency


DEO part 3

dimensions_codes_order: REF_AREA MEASURE DIMENSION

DIMENSION: Dimension

MEASURE: Indicator

REF_AREA: Country

[A] Access

BUDGET_0: No budget

BUDGET_1: Dedicated budget

BUDGET_2: Repurposed budget

BUDGET_ADMIN_0: Centralised (attached to the NDS and/or a body)

BUDGET_ADMIN_1: Decentralised (attached to several bodies implementing the NDS)

BUDGET_TIMEFRAME_0: Multi-year

BUDGET_TIMEFRAME_1: Annual

BUDGET_TIMEFRAME_2: Other

G: Gender

GO: Gender, Online safety

I: Innovation

IA: Innovation, Access

IU: Innovation, Use

J: Jobs

JI: Jobs, Innovation

JU: Jobs, Use

MA: Market_openness, Access

MI: Market_openness, Innovation

MJ: Market_openness, Jobs

MSJU: Market_openness, Society, Jobs, Use

MSU: Market_openness, Society, Use

MT: Market_openness, Trust

MU: Market_openness, Use

NDS_LINK_0: Neither covered by nor co-ordinated with the NDS

NDS_LINK_1: Covered/co-ordinated by the NDS

NDS_LINK_2: Not covered by but co-ordinated with the NDS (please specify how in the text box)

NO: No

O: Online safety

POL_COUNT: Policy initiatives

POL_COUNT_COORD: Policy initiatives co-ordinated by the NDS

S: Society

SI: Society, Innovation

SIU: Society, Innovation, Use

SJ: Society, Jobs

SJIU: Society, Jobs, Innovation, Use

SJU: Society, Jobs, Use

SK: Skills

SKG: Skills, Gender

SKGO: Skills, Gender, Online safety

SKGSM: Skills, Gender, SMEs

SKO: Skills, Online safety

SKSM: Skills, SMEs

SKSMO: Skills, SMEs, Online safety

SM: SMEs

SMO: SMEs, Online safety

SU: Society, Use

SUA: Society, Use, Access

T: Trust

TI: Trust, Innovation

TIU: Trust, Innovation, Use

TS: Trust, Society

TSIU: Trust, Society, Innovation, Use

TSJU: Trust, Society, Jobs, Use

TSU: Trust, Society, Use

TU: Trust, Use

TYPE_0: Strategy (excluding your government’s national digital strategy)

TYPE_1: General policy

TYPE_2: Specific policy instrument - Direct funding (e.g., grants, vouchers)

TYPE_3: Specific policy instrument - Indirect support (e.g., tax credits, preferential loans)

TYPE_4: Specific policy instrument - Non-financial support (e.g., training, information sharing)

TYPE_5: Specific policy instrument - Laws or regulations (e.g., personal data protection law)

U: Use

UA: Use, Access

YES: Yes


Average duration of unemployment

description: This table contains data on the average duration of unemployment (reported in number of months) by sex and standardised age groups (15-19, 15-24, 20-24, 25-54, 55+, total).

dimensions_codes_order: REF_AREA MEASURE UNIT_MEASURE SEX AGE DURATION FREQ

AGE: Age

DURATION: Unemployment duration

SEX: Sex

BIRTH: At birth

D29T60: From 29 to 60 days

D91T365: From 91 to 365 days

DEPENDENT: Dependent

M12T23: From 12 to 23 months

M24T35: From 24 to 35 months

M24T59: From 24 to 59 months

M36T47: From 36 to 47 months

M36T59: From 36 to 59 months

M48T59: From 48 to 59 months

MID: Middle-aged

M_LT1: Less than 1 month

OLD: Old

RETIRE: National retirement age

Y0: 0 years

Y1: 1 years

Y10: 10 years

Y100: 100 years

Y101: 101 years

Y102: 102 years

Y103: 103 years

Y104: 104 years

Y105: 105 years

Y106: 106 years

Y107: 107 years

Y108: 108 years

Y109: 109 years

Y10T14: From 10 to 14 years

Y11: 11 years

Y12: 12 years

Y12T24: From 12 to 24 years

Y13: 13 years

Y14: 14 years

Y15: 15 years

Y15T17: From 15 to 17 years

Y15T19: From 15 to 19 years

Y15T24: From 15 to 24 years

Y15T29: From 15 to 29 years

Y15T44: From 15 to 44 years