Health expenditure and financing

CURRENCY: Currency

OBS_STATUS2: Observation status 2

OBS_STATUS3: Observation status 3

AED: United Arab Emirates dirham

AFA: Afghanistan afghani (old)

AFN: Afghani

ALL: Lek

AMD: Armenian dram

ANG: Netherlands Antillian guilder

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

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

BRL: Brazilian real

BSD: Bahamian dollar

BTN: Ngultrum

BWP: Pula

BYB: Belarussian ruble (old)

BYN: Belarussian ruble

BYR: Belarus ruble

BZD: Belize dollar

CAD: Canadian dollar

CDF: Congolese franc

CENT: Euro cent

CFA: CFA franc

CHE: WIR euro

CHF: Swiss franc

CHW: WIR franc

CLF: Unidad de formento (UF)

CLP: Chilean peso

CNY: Chinese yuan renminbi

COP: Colombian peso

COU: Unidad de Valor real

CRC: Costa Rican colon

CSD: Serbian dinar (old)

CUP: Cuban peso

CVE: Cape Verde escudo

CYP: Cypriot pound

CZK: Czech koruna

DEM: German mark

DJF: Djibouti franc

DKK: Danish krone

DOP: Dominican peso

DZD: Algerian dinar

ECS: Ecuador sucre (old)

ECV: Unidad de valor constante

EEK: Estonian kroon

EGP: Egyptian pound

ERN: Nakfa

ESP: Spanish peseta

ETB: Ethiopian birr

EUR: Euro

FIM: Finnish markka

FJD: Fiji dollar

FKP: Falkland Islands pound

FRF: French franc

GBP: Pound sterling

GEL: Lari

GGP: Guernsey pounds

GHC: Ghanaian cedi (old)

GHS: Ghana cedi

GIP: Gibraltar pound

GMD: Dalasi

GNF: Guinea franc

GRD: Greek drachma

GTQ: Quetzal

GWP: Guinea-Bissau peso

GYD: Guyana dollar

HKD: Hong Kong dollar

HKQ: Hong Kong dollar (old)

HNL: Lempira

HRK: Croatian kuna

HTG: Gourde

HUF: Forint

IDR: Rupiah

IEP: Irish pound

ILS: New Israeli sheqel

IMP: Isle of Man pounds

description: A System of Health Accounts 2011 provides an updated and systematic description of the financial flows related to the consumption of health care goods and services. As demands for information increase and more countries implement and institutionalise health accounts according to the system, the data produced are expected to be more comparable, more detailed and more policy relevant. It builds on the original OECD Manual, published in 2000 to create a single global framework for producing health expenditure accounts that can help track resource flows from sources to uses. It is the result of a collaborative effort between the OECD, WHO and the European Commission, and sets out in more detail the boundaries, the definitions and the concepts – responding to health care systems around the globe – from the simplest to the more complicated. The accounting framework is organised around a tri-axial system for the recording of health care expenditure, namely classifications of the functions of health care (ICHA-HC), health care provision (ICHA-HP), and financing schemes (ICHA-HF).

HF12HF13: Compulsory contributory health insurance schemes

HF2HF3: Voluntary schemes/household out-of-pocket payments

HF4: Rest of the world financing schemes (non-resident)

FS1: Transfers from government domestic revenue

FS12: Transfers by government on behalf of specific groups

FS14: Other transfers from government domestic revenue

FS2: Transfers distributed by government from foreign origin

FS31: Social insurance contributions from employees

FS32: Social insurance contributions from employers

FS33: Social insurance contributions from self-employed

FS41: Compulsory prepayment from individuals/households

FS51: Voluntary prepayment from individuals/households

BASIC_PH: Basic health care services and pharmaceuticals

HC1_HC5: Individual health care services and medical goods

HC4: Ancillary services (non-specified by function)

HC5: Medical goods (non-specified by function)

HC51: Pharmaceuticals and other medical non-durable goods

HC52: Therapeutic appliances and other medical durable goods

HC61: Information, education and counseling programmes

HC65: Epidemiological surveillance and risk and disease control programmes

HC66: Preparing for disaster and emergency response programmes

HC7: Governance and health system and financing administration

HC71: Governance and health system administration

HCCOV2: COVID-19 related costs for testing and contact tracing

HCCOV4: COVID-19 related costs for medical goods

HCCOV5: Other COVID-19 related health care costs (incl. in CHE)

HCR2: Health promotion with multi-sectoral approach

HCRI1: Total pharmaceutical expenditure (including inpatient and other ways of provision)

HCRI2: Traditional, Complementary and Alternative Medicines (TCAM)

HCTOTHK11: Current expenditure on health plus gross fixed capital formation

HP13: Specialised hospitals (other than mental health hospitals)

HP22: Mental health and substance abuse faciltites

HP29: Other residential long-term care facilities

HP41: Providers of patient transportation and emergency rescue

HP5: Retailers and other providers of medical goods

HP52: Retail sellers and other suppliers of durable medical goods and medical appliances

HP59: All other miscellaneous sellers and other suppliers of pharmaceuticals and medical goods

HP7: Providers of healthcare system administration and financing

HP71: Government health administration agencies

HP73: Private health insurance administration agencies

HP81: Households as providers of home healthcare

HP82: All other industries as secondary providers of healthcare


Input costs for healthcare providers

BASE_PER: Base period

DECIMALS: Decimals

OBS_STATUS: Observation status

UNIT_MULT: Unit multiplier

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

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

L: Missing value; data exist but were not collected

description: This dataset shows how much health providers spend on the inputs needed to produce healthcare goods and services (factors of provision). This information is typically tracked at national aggregate levels to meet the need to ensure an efficient, appropriate allocation of resources in the production of health care services. Specific policy needs may require information regarding total payments for human resources, expenditure on pharmaceuticals, and other significant inputs. Furthermore, the financial planning of health programmes and services often relies on information about the volume and mixture of factor spending.

A2_A3_X: Northern and Central America unspecified

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

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


description: A key set of information for policy analysis is i) how much revenue is collected; ii) in what ways is it collected; iii) from which institutional units of the economy are revenues raised for each particular financing scheme; and iv) which financing schemes receive those revenues. This dataset provides information about the contribution mechanisms the particular financing schemes use to raise their revenues. Understanding the nature of the flows is of importance from the perspective of both health and public finance policy. For example, the classification of revenues make it possible to distinguish between public and private funding of health care finance. Understanding how resources are raised by financing schemes is important for many countries, as many health systems are struggling with the issue of funding. The classification of revenues of financing schemes is suitable for tracking the collection mechanisms of a financing framework. Furthermore, the new classification makes it possible to analyse the contribution of the institutional units to health financing.

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

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

name: Revenues of healthcare financing schemes


description: Gross fixed capital formation in the health care system is measured by the total value of the fixed assets that health providers have acquired during the accounting period (less the value of the disposals of assets) and that are used repeatedly or continuously for more than one year in the production of health services. While human resources are essential to the health and long-term care sector, physical resources are also a key factor in the production of health services. How much a country invests in new health facilities, diagnostic and therapeutic equipment, and information and communications technology (ICT) can have an important impact on the capacity of a health system to meet the healthcare needs of the population. Having sufficient equipment in intensive care units and other health settings helps to avoid potentially catastrophic delays in diagnosing and treating patients. Non-medical equipment is also important, notably the IT infrastructure needed to better monitor population health, both in acute situations and in the long term. Investing in capital equipment is therefore a prerequisite to strengthening overall health system resilience.

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

name: Gross fixed capital formation in the healthcare system


[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

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

description:
The Social Institutions and Gender Index (SIGI) is a composite index measuring discriminatory social institutions. The SIGI is produced on a regular basis and data from previous editions can be accessed for the following years: 2019, 2014, 2012 and 2009.

 The SIGI 2023 builds on 25 variables measuring discrimination in social institutions that can be accessed in the GID-DB 2023, and which are grouped into four dimensions: discrimination in the family, restricted physical integrity, restricted access to productive and financial resources, and restricted civil liberties. The SIGI 2023 seeks to provide an in-depth and global look at how laws, attitudes and practices create gaps between women and men in terms of opportunities and outcomes.

The SIGI and its dimensions range from 0 to 100, with 0 indicating no discrimination and 100 indicating absolute discrimination against women.

 The SIGI 2023 covers 179 countries, but due to data gaps in one or more of the 25 variables used to compute the index, SIGI scores could only be calculated for 140 countries and territories.

 Additionally, the SIGI framework can be used to conduct country studies in order to assess gender-based discrimination at the sub-national level. Recent SIGI country studies include Côte d’Ivoire and Tanzania.

MEASURE: Measure

REF_AREA: Reference area

UNIT_MEASURE: Unit of measure

SIGI: SIGI score

SIGI_DF: Discrimination in the family

SIGI_RAPFR: Access to productive and financial assets

SIGI_RCL: Restricted civil liberties

SIGI_RPI: Restricted physical integrity

[A] America

A2: Northern America

A2XOECD: Non-OECD Northern America

A2_X: Northern America unspecified

A3: Central America

A3_X: Central America unspecified

A4: Caribbean

A4_X: Caribbean unspecified

A5: Central America and the Caribbean

A5M: Major five Asia economies

A5XOECD: Non-OECD Central America and Caribbean

A5_A7: South and Central America

A7: South America

A7XOECD: Non-OECD South America

A7_X: South America unspecified

A8: Latin America

A8_M: Main Latin American countries

A9: Latin America and the Caribbean

ABW: Aruba

ACP: ACP

AES: Advanced economies

AFG: Afghanistan

AGO: Angola

AIA: Anguilla

ALA: Åland

ALB: Albania

AND: Andorra

ANT_F: Former Netherlands Antilles

ANT_F_ABW: Former Netherlands Antilles and Aruba

APEC: APEC

ARE: United Arab Emirates

ARG: Argentina

ARM: Armenia

ASEAN: ASEAN

ASM: American Samoa

ATA: Antarctica

ATF: French Southern and Antarctic Lands

ATG: Antigua and Barbuda

AU: African Union

AUS: Australia

AUT: Austria

AXOECD: Non-OECD America

AXOECD_O: Other non-OECD America

AZE: Azerbaijan

A_O: Other America

A_X: America unspecified

BDI: Burundi

BEL: Belgium

BEL_LUX: Belgo-Luxembourg Economic Union

BEN: Benin

BES: Bonaire, Saba, Saint Eustatius

BFA: Burkina Faso

BGD: Bangladesh

BGR: Bulgaria

BHR: Bahrain

BHS: Bahamas

BIH: Bosnia and Herzegovina

BLM: Saint Barthélemy

BLR: Belarus

BLZ: Belize

BMU: Bermuda

BOL: Bolivia

BRA: Brazil

BRB: Barbados

BRN: Brunei Darussalam

BTN: Bhutan

BVT: Bouvet Island

BWA: Botswana

CAF: Central African Republic

CAN: Canada

CCK: Cocos (Keeling) Islands

CEEC: CEEC

CHE: Switzerland

name: Social Institutions and Gender Index (SIGI) 2023


COUNTRY: Country

CHE_LIE: Switzerland and Liechtenstein

CHL: Chile

CHN: China (People’s Republic of)

CIS: CIS

CIV: Côte d’Ivoire

CMR: Cameroon

COD: Democratic Republic of the Congo

COG: Congo

COK: Cook Islands

COL: Colombia

COM: Comoros

CPT: Clipperton Island

CPV: Cabo Verde

CRI: Costa Rica

CSK_F: Former Czechoslovakia

CUB: Cuba

CUW: Curaçao

CXR: Christmas Island

CYM: Cayman Islands

CYP: Cyprus

CZE: Czechia

D: Domestic (home or reference area)

DAC: DAC countries

description:
This dataset provides a framework to monitor trends in SMEs’ and entrepreneurs’ access to finance and supports the formulation and evaluation of policies in this domain.

The dataset presents time series data on SME financing for close to 50 countries. It includes information for a number of core indicators, including SME debt and equity financing, credit conditions, solvency, and policy measures. The set of indicators provides governments and other stakeholders with a consistent framework to evaluate whether SME financing needs are being met, support the design and evaluation of policy measures, and monitor the implications of financial reforms on SME access to finance.

Further information:

<a class="fui-Link ___1rxvrpe f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://www.oecd-ilibrary.org/docserver/dcb0169f-en.pdf?expires=1721751776&id=id&accname=ocid84004878&checksum=e496db0320ee4d8640100f22cf150cf3" href="https://www.oecd-ilibrary.org/docserver/dcb0169f-en.pdf?expires=1721751776&id=id&accname=ocid84004878&checksum=E496DB0320EE4D8640100F22CF150CF3" target="_blank" rel="noreferrer noopener" aria-label="Link dcb0169f-en.pdf (oecd-ilibrary.org)">Definitions and methodology for producing the national Scoreboards

<a class="fui-Link ___1rxvrpe f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" title="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en.html" href="https://www.oecd.org/en/publications/financing-smes-and-entrepreneurs-2024_fa521246-en.html" target="_blank" rel="noreferrer noopener" aria-label="Link Financing SMEs and Entrepreneurs 2024 | OECD">Financing SMEs and Entrepreneurs 2024 | OECD

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

BE10: Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest

BE336: Bezirk Verviers - Deutschsprachige Gemeinschaft

CA1030N: West Coast-Northern Peninsula-Labrador, NL

CA4870N: Athabasca-Grande Prairie-Peace River, AB

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

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

DE401: Brandenburg an der Havel, Kreisfreie Stadt

DEB36: Neustadt an der Weinstraße, Kreisfreie Stadt

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

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

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

NL337: Agglomeratie Leiden en Bollenstreek (TL2021)

RS21: The region of Šumadija and Western Serbia

UKE1: East Yorkshire and Northern Lincolnshire

UKF2: Leicestershire, Rutland and Northamptonshire

UKG1: Herefordshire, Worcestershire and Warwickshire

UKI33: Kensington and Chelsea, and Hammersmith and Fulham

UKJ1: Berkshire Buckinghamshire and Oxfordshire

UKK1: Gloucestershire Wiltshire and Bristol/Bath Area

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

UKM61: Caithness and Sutherland, and Ross and Cromarty

UKM62: Inverness and Nairn, Moray, Badenoch and Strathspey

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

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

UKM83: Inverclyde, East Renfrewshire and Renfrewshire

UKM93: East Ayrshire and North Ayrshire mainland

UKN05: West and South of Northern Ireland (TL2016)

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

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

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

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

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

name: Financing SMEs and Entrepreneurs: An OECD Scoreboard


Aggregated municipal government finance

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

Zero

One

Ten

Eleven

Twelve

Thirteen

Fourteen

Fifteen

Two

Three

Four

Five

Six

Seven

Eight

Nine

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:
The aggregated municipal government finance database (Aggregated MUNIFI) provides a selection of indicators on expenditure, revenue, and debt for the entire municipal government sector in OECD and EU countries. It is complemented by disaggregated data, that is data for each municipality in a given country, which can be downloaded directly from the links below.

The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project Strengthening analytical frameworks and data on subnational government finance and public employment with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment.

This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the World Observatory on Subnational Government Finance and Investment.

COFOG: Function of government

SECTOR: Institutional sector

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

GF0601: Housing development

GF0602: Community development

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

E114: Financial charges (including interest charges)

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)


Aggregated regional government finance

N: Not for publication, restricted for internal use only

description:
The aggregated regional government finance database (Aggregated REGOFI) provides a selection of indicators on expenditure, revenue, and debt for the entire regional government sector in OECD and EU countries.

The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project Strengthening analytical frameworks and data on subnational government finance and public employment with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment.

This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the World Observatory on Subnational Government Finance and Investment.


Subnational government climate finance

description:
The Subnational Government Climate Finance database provides comparable data on subnational public climate-significant expenditure and investment, covering the years from 2001 to 2019, for 33 OECD and EU countries.

This database was built using a pioneer methodology that relies on a more refined approach to the COFOG classification. Using the EU taxonomy for sustainability activities, three first-level COFOG functions (economic affairs, environmental protection, and housing and community amenities) and 13 second-level COFOG functions (e.g. transport and energy, environmental protection, waste, water management, housing development) were identified as being “climate-significant”, meaning that expenditure and investment in these areas contributes, to some extent, to climate adaptation or mitigation objectives.

For more information on the methodology used and related work on climate finance tracking, please visit:

          Tracking subnational government climate expenditure

This database was developed in the framework of the project “Financing Climate Action in Regions and Cities”, a joint project between the OECD and the European Commission Directorate-General for Regional and Urban Policy (DG REGIO), launched in 2022.

PRICE_BASE: Price base

CS_E: Climate significant expenditure

CS_I: Climate significant investment

D: Deflator

DR: Deflator (rebased)

L: Chain linked volume

LR: Chain linked volume (rebased)

O: Previous year’s replacement cost

Q: Constant prices

QR: Constant prices (rebased)

R: Real terms

RR: Real terms (rebased)

U: Current replacement cost

V: Current prices

VQ: Current prices (constant converter)

Y: Previous year prices

_Z: Not applicable


description:
The disaggregated regional government finance database (Disaggregated REGOFI) provides a selection of indicators on expenditure, revenue, and debt for individual regions in OECD and EU countries.

The time coverage ranges from 2010 to 2022 (based on data availability). This database has been produced in the context of the OECD/EU joint project Strengthening analytical frameworks and data on subnational government finance and public employment with the goal of collecting, standardising, and disseminating high-quality comparable data for local government finance and employment.

This data provides information to assess the capacities and decision-making power of municipalities and regions, whose role is essential in developing place-based policy. It also allows for within and cross-country comparisons, which sheds light on the disparities between subnational governments in terms of fulfilling their mandates and their ability to raise own-source revenue. You will find more information on subnational government responsibilities in the World Observatory on Subnational Government Finance and Investment.

name: Disaggregated regional government finance


Net total social expenditure in % GDP

INR: Indian rupee

IQD: Iraqi dinar

description: The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries for the period 1980-2019/21 and estimates for aggregates for 2020-22. A Social Expenditure Update can be found under www.oecd.org/social/expenditure.htm. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of net total social spending for 2019 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database.

TP312: Pensions (occupational injury and disease)

TP313: Paid sick leave (occupational injury and disease)

TP314: Paid sick leave (other sickness daily allowances)

TP521: Early childhood education and care (ECEC)

TP711: Unemployment compensation / severance pay

TP712: Early retirement for labour market reasons


name: Public expenditure on disability and sickness cash benefits in % GDP


name: Public expenditure on family by type of expenditure (cash and in kind) in % GDP


name: Public expenditure on old-age and survivors cash benefits in % GDP


Sustainable Ocean Economy

OBS_STATUS_2: Observation status 2

REF_YEAR_PRICE: Price reference year

description:
Documentation

The ocean is a shared global resource. Ocean-related industries in many countries have expanded with insufficient consideration for the environment, risking the natural resources and the essential marine ecosystem services on which economies and people’s well-being depend.

The OECD Sustainable Ocean Economy Database synthesizes available ocean-related datasets and indicators from across the Organisation to improve their discoverability and comparability. The database brings together relevant indicators from the Environment Directorate (ENV), the Trade and Agriculture Directorate (TAD), the Centre for Entrepreneurship, SMEs, Regions and Cities (CFE), the International Transport Forum (ITF), the International Energy Agency (IEA), and others.
The conceptual framework

The database structure follows the OECD’s Green Growth indicators framework. It is designed to help answer the following questions:

Is the natural capital of the ocean being maintained?

How does a sustainable ocean economy benefit people?

Are we becoming more efficient in using marine and coastal ecosystem services?

What are the economic opportunities from promoting a sustainable ocean economy?

What policy responses are needed to speed up the transition?

The indicator set

Indicators for the following main themes are provided:

Natural capital of the ocean

Environmental dimension of wellbeing and resilience in coastal communities

Environmental and resource productivity of the ocean economy

Economic opportunities from pursuing ocean sustainability

Policy responses directed at ocean sustainability

The socio-economic context

This is a work in progress. Advances in many areas are needed to build a truly integrated database measuring the sustainability of the ocean economy. Development of new or improved ocean indicators will require mobilising data in existing statistics and statistical systems (e.g. satellite accounts to identify ocean industries in the SNA), building new statistical methodologies (e.g. air emission accounts for maritime shipping [SEEA-CF] or ocean ecosystem accounts [SEEA-EEA]) and identifying new sources of data (e.g. Earth observation).

Documentation

DESIGNATION: IUCN management categories

FREQ: Frequency of observation

RET_PERIOD: Return periods

ALL_EXC_P: All, excluding data recorded as points

ALL_INC_P: All, including data recorded as points

IA: Strict nature reserve

IA_IB: Strict nature reserves and wilderness areas

IB: Wilderness area

III_IV: Natural monuments and habitat or species management areas

III__VI: Natural monuments, habitat or species management areas, protected landscapes and seascapes, and protected areas with sustainable use of natural resources

III__VI_X: Natural monuments, habitat or species management areas, protected landscapes and seascapes, protected areas with sustainable use of natural resources and areas with no management category provided

IV__VI: Habitat or species management areas, protected landscapes and seascapes, and protected areas with sustainable use of natural resources

IV__VI_X: Habitat or species management areas, protected landscapes and seascapes, protected areas with sustainable use of natural resources and areas with no management category provided

I_II: Strict nature reserves, wilderness areas and national parks

I__III: Strict nature reserves, wilderness areas, national parks and natural monuments

I__IV: Strict nature reserves, wilderness areas, national parks, natural monuments and habitat or species management areas

VI: Protected area with sustainable use of natural resources

V_VI: Protected landscapes and seascapes and protected areas with sustainable use of natural resources

V__VI_X: Protected landscapes and seascapes, protected areas with sustainable use of natural resources and areas with no management category provided

AQUACUL_MARINE_SPECIES: Total aquaculture production, marine and partly-marine species

CF_BUILT_EXP: Built-up area exposure to coastal flooding

CLIMATE_HAZARDS: Exposure of people and assets to climate-related hazards

CO2_PROD_BUNKERS: Carbon and energy: CO2 Productivity, CO2 emissions from international maritime bunkers

COASTAL_100_POP: Population resident within 100km of coast

COASTAL_10_POP: Population resident within 10km of coast

COASTAL_LCC: Biodiversity and ecosystems: Coastal zone resources and ecosystems, Coastal land cover change

COASTAL_LE1: Extent of coastal protected area 1 km or less

COASTAL_LE10: Extent of coastal protected area 10 km or less

C_IND: Authorisation to operate outside the EEZ

ENVQOL: The environmental dimension of wellbeing and resilience

FFS_AGRIC_FISH_PC: Ocean-related fossil-fuel support benefitting the agriculture and fisheries sector

FFS_FFSO_CSE: Ocean-related fossil-fuel support benefitting consumers (CSE)

FFS_FFSO_GSSE: Ocean-related fossil-fuel support benefitting general services (GSSE)

FFS_FFSO_PSE: Ocean-related fossil-fuel support benefitting producers (PSE)

FFS_HCARBON_EXTRAC_PC: Ocean-related fossil-fuel support benefitting the hydrocarbon sector

FFS_TRANSPORTATION_PC: Ocean-related fossil-fuel support benefitting the transportation sector

FISH_EMP_MARINE_FISH_TOT: People employed in fishing sectors excluding inland fisheries

FISH_EMP_PROCESSING_TOT: People employed in fishery processing sector

FLEET_GROSS_TONNAGE: Gross tonnage of fishing vessels of all sizes

FLEET_TOTAL_SHIP_COUNT: Total number of fishing vessels, all sizes

MARBUNK: International marine bunker CO2 emissions

MARINE_FISH: Biodiversity and ecosystems: Wildlife resources

OCEAN_IUU_IND: Illegal, Unreported and Unregulated fishing indicators

OCEAN_PATENTS: Technology and innovation: Patents of relevance to ocean sustainability, Technology development (invention)

OCEAN_RND: Technology and innovation: Research, development and deployment (RD&D), Offshore/ocean renewable energy RD&D public budgets

PAT_O_CCMFISH: Climate change mitigation inventions in maritime fishing and aquaculture

PAT_O_OCEANH: Ocean-related high value ENVTECH inventions

PAT_O_TRA: Climate change mitigation inventions in maritime transport

PAYMENTS_FROM_GOVERNMENT_FFS: Market-based approaches: Payments from Government, Ocean-related fossil fuel support reform

PAYMENTS_TO_GOVERNMENT_TAXES: Market-based approaches: Payments to Government, Revenue from taxes relevant to ocean sustainability

POLICY_INSTRUMENTS: Market-based approaches, (economic) policy instruments

REG_AND_MANAGEMENT_PAS: Regulations & management approaches: Protected area designation

TSM_EXP_TRANSPORT_SEA: International sea passenger transport receipts

TSM_IMP_TRANSPORT_SEA: International sea passenger transport expenditure


Fatalities

description: People killed in road crashes within 30 days the crash occurred.

FUEL: Fuel type

GEO_COVERAGE: Geographical coverage

TRANSPORT_MODE: Transport mode

VEHICLE_TYPE: Vehicle type

[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


Freight transport

description: Freight transport by rail, road and inland waterways, split in national and international transport.


Motor fuel deliveries

description: Petrol and diesel deliveries to the road sector.


Short term transport indicators

description: Data are collected from Ministries of Transport, national statistical offices and other institutions designated as the official data source. The survey used for this exercise is the "Quarterly Transport Statistics". Variables collected include rail, road and inland waterways national and international freight transport, rail passenger transport, road motor vehicle traffic, first registrations of brand new passenger cars and road goods vehicles, fuel deliveries and road fatalities. Data are collected with a lag of 2 months and made available at the end of each quarter. Data series start in 1994 and continue until the current quarter-1, or the most recent available data.


Passenger transport

description: Passenger transport by rail.


description: Number of new passenger cars and goods road motor vehicles registered for the first time.

name: First registrations of brand new vehicles


Road motor vehicle traffic

description: Movement of road motor vehicles on a given road network.