Hospital aggregates

description: This dataset reports data for key hospital aggregates: inpatient care discharges and average length of stay; and curative care discharges, bed-days, average length of stay and occupancy rate.

CANCER_SITE: Cancer site

CARE_TYPE: Care type

CONSULTATION_TYPE: Consultation type

DATA_SRCE: Data source

DIAGNOSTIC_TYPE: Diagnostic category

CICDCANC: Malignant neoplasms of trachea, bronchus, lung

CICDNCRA: Malignant neoplasms of colon, rectum and anus

DICDA101: Intestinal infectious diseases except diarrhoea

DICDA102: Diarrhoea and gastroenteritis of presumed infectious origin

DICDA105: Human immunodeficiency virus (HIV) disease

DICDA201: Malignant neoplasm of colon, rectum and anus

DICDA202: Malignant neoplasm of trachea, bronchus and lung

DICDA211: Benign neoplasm of colon, rectum and anus

DICDA213: Other Benign neoplasms and neoplasms of uncertain or unknown behaviour

DICDA300: Diseases of the blood and bloodforming organs

DICDA302: Other diseases of the blood and bloodforming organs

DICDA400: Endocrine, nutritional and metabolic diseases

DICDA402: Other endocrine, nutritional and metabolic diseases

DICDA502: Mental and behavioural disorders due to alcohol

DICDA503: Mental and behavioural disorders due to use of Other psychoactive substance

DICDA504: Schizophrenia, schizotypal and delusional disorders

DICDA604: Transient cerebral ischaemic attacks and related syndromes

DICDA905: Pulmonary heart disease and diseases of Pulmonary circulation

DICDA906: Conduction disorders and cardiac arrhythmias

DICDA911: Other diseases of the circulatory system

DICDB001: Acute upper respiratory infections and influenza

DICDB003: Other acute lower respiratory infections

DICDB004: Chronic diseases of tonsils and adenoids

DICDB005: Other diseases of upper respiratory tract

DICDB006: Chronic obstructive Pulmonary disease and bronchiectasis

DICDB008: Other diseases of the respiratory system

DICDB101: Disorders of teeth and supporting structures

DICDB102: Other diseases of oral cavity, salivary glands and jaws

DICDB105: Dyspepsia and Other diseases of stomach and duodenum

DICDB110: Other noninfective gastroenteritis and colitis

DICDB111: Paralytic ileus and Intestinal obstruction without hernia

DICDB118: Other diseases of gall bladder and biliary tract

DICDB200: Diseases of the skin and subcutaneous tissue

DICDB201: Infections of the skin and subcutaneous tissue

DICDB202: Dermatitis, eczema and papulosquamous disorders

DICDB203: Other diseases of the skin and subcutaneous tissue

DICDB300: Diseases of musculoskeletal system and connective tissue

DICDB306: Deforming dorsopathies and spondylopathies

DICDB310: Other disorders of the musculoskeletal system and connective tissue

DICDB401: Glomerular and renal tubulo-interstitial diseases

DICDB408: Inflammatory diseases of Female pelvic organs

DICDB409: Menstrual, menopausal and Other Female genital conditions

DICDB410: Other disorders of the genitourinary system

DICDB500: Pregnancy, childbirth and the puerperium

DICDB503: Complications of pregnancy in the antenatal period

DICDB504: Complications of pregnancy predominantly during labour and delivery

DICDB507: Complications predominantly related to the puerperium

DICDB600: Certain conditions originating in the perinatal period

DICDB601: Disorders related to short gestation and low birthweight

DICDB602: Other conditions originating in the perinatal period

DICDB700: Congenital malformations, deformations and chromosomal abnormalities

DICDB800: Symptoms, signs and abnormal clinical and laboratory findings, n.e.c.

DICDB803: Unknown and unspecified causes of morbidity

DICDB804: Other symptoms, signs and abnormal clinical and laboratory findings

DICDB900: Injury, poisoning and other consequences of external causes

DICDB908: Poisonings by drugs, medicaments, and biological substances and toxic effects

DICDB909: Complications of Surgical and medical care, n.e.c.

DICDB910: Sequelae of injuries, of poisoning and of Other external causes

DICDB911: Other and unspecified effects of external causes

DICDC100: Factors influencing health status and contact with health services

DICDC101: Medical observation and evaluation for suspected diseases and conditions

DICDC103: Liveborn infants according to place of birth

DICDC104: Other medical care (including radiotherapy and chemotherapy sessions)

DICDC105: Other factors influencing Health status and contact with Health services

DICDC200: Provisional assignment of new diseases of uncertain etiology or emergency use

DICDC201: COVID-19, virus identified and not identified

DICDC202: Personal history of COVID-19 and post COVID-19 condition

DICDC203: Multisystem inflammatory syndrome associated with COVID-19

DICDC204: Need for immunization against COVID-19 and COVID-19 vaccines causing adverse effects in therapeutic use

DICDC205: Other new diseases of uncertain etiology or emergency use

AIDS: Acquired immunodeficiency syndrome (AIDS)

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

CM8151_8153: Hip replacement (total and partial, including the revision of hip replacement)

CM8154: Knee replacement (including the revision of knee replacement)

OC11: Chief executives, senior officials and legislators

OC1114: Senior officials of special-interest organizations

OC121: Business services and administration managers

OC1219: Business services and administration managers not elsewhere classified

OC122: Sales, marketing and development managers

OC1222: Advertising and public relations managers

OC13: Production and specialised services managers

OC131: Production managers in agriculture, forestry and fisheries

OC1311: Agricultural and forestry production managers

OC1312: Aquaculture and fisheries production managers

OC132: Manufacturing, mining, construction, and distribution managers

OC1324: Supply, distribution and related managers

OC133: Information and communications technology service managers

OC1330: Information and communications technology service managers

OC1346: Financial and insurance services branch managers

OC1349: Professional services managers not elsewhere classified

OC14: Hospitality, retail and other services managers

OC1431: Sports, recreation and cultural centre managers

OC1439: Services managers not elsewhere classified

OC211: Physical and earth science professionals

OC212: Mathematicians, actuaries and statisticians

OC2120: Mathematicians, actuaries and statisticians

OC2131: Biologists, botanists, zoologists and related professionals

OC2132: Farming, forestry and fisheries advisers

OC214: Engineering professionals (excluding electrotechnology)

OC2146: Mining engineers, metallurgists and related professionals

OC2149: Engineering professionals not elsewhere classified

OC216: Architects, planners, surveyors and designers

OC223: Traditional and complementary medicine professionals

OC2230: Traditional and complementary medicine professionals

OC2263: Environmental and occupational health and hygiene professionals

OC2269: Health professionals not elsewhere classified

OC231: University and higher education teachers

OC2310: University and higher education teachers

OC234: Primary school and early childhood teachers

OC2359: Teaching professionals not elsewhere classified

OC24: Business and administration professionals

OC2424: Training and staff development professionals

OC243: Sales, marketing and public relations professionals

OC2433: Technical and medical sales professionals (excluding ICT)

OC2434: Information and communications technology sales professionals

OC25: Information and communications technology professionals

OC251: Software and applications developers and analysts

OC2519: Software and applications developers and analysts not elsewhere classified

OC2529: Database and network professionals not elsewhere classified

OC26: Legal, social and cultural professionals

OC2619: Legal professionals not elsewhere classified

OC2622: Librarians and related information professionals

OC2632: Sociologists, anthropologists and related professionals

OC2633: Philosophers, historians and political scientists

OC2635: Social work and counselling professionals

OC2643: Translators, interpreters and other linguists

OC2654: Film, stage and related directors and producers

OC2656: Announcers on radio, television and other media

OC2659: Creative and performing artists not elsewhere classified

OC31: Science and engineering associate professionals

OC311: Physical and engineering science technicians

OC3111: Chemical and physical science technicians

OC3119: Physical and engineering science technicians not elsewhere classified

OC312: Mining, manufacturing and construction supervisors

OC3132: Incinerator and water treatment plant operators

OC3134: Petroleum and natural gas refining plant operators

OC3139: Process control technicians not elsewhere classified

OC314: Life science technicians and related associate professionals

OC3141: Life science technicians (excluding medical)

OC315: Ship and aircraft controllers and technicians

OC3153: Aircraft pilots and related associate professionals

OC3155: Air traffic safety electronics technicians

OC3211: Medical imaging and therapeutic equipment technicians

OC3212: Medical and pathology laboratory technicians

OC3213: Pharmaceutical technicians and assistants

OC3214: Medical and dental prosthetic technicians

OC322: Nursing and midwifery associate professionals

OC323: Traditional and complementary medicine associate professionals

OC3252: Medical records and health information technicians

OC3255: Physiotherapy technicians and assistants

OC3257: Environmental and occupational health inspectors and associates

OC3259: Health associate professionals not elsewhere classified

OC33: Business and administration associate professionals

OC331: Financial and mathematical associate professionals

OC3311: Securities and finance dealers and brokers

OC3314: Statistical, mathematical and related associate professionals

OC3334: Real estate agents and property managers

OC3339: Business services agents not elsewhere classified

OC334: Administrative and specialised secretaries

OC3343: Administrative and executive secretaries

OC335: Regulatory government associate professionals

OC3359: Regulatory government associate professionals not elsewhere classified

OC34: Legal, social, cultural and related associate professionals

OC341: Legal, social and religious associate professionals

OC3411: Legal and related associate professionals

OC3422: Sports coaches, instructors and officials

OC3423: Fitness and recreation instructors and program leaders

OC343: Artistic, cultural and culinary associate professionals

OC3435: Other artistic and cultural associate professionals

OC35: Information and communications technicians

OC351: Information and communications technology operations and user support technicians

OC3511: Information and communications technology operations technicians

OC3512: Information and communications technology user support technicians

OC3513: Computer network and systems technicians

OC352: Telecommunications and broadcasting technicians

OC3521: Broadcasting and audio-visual technicians

OC421: Tellers, money collectors and related clerks

OC4212: Bookmakers, croupiers and related gaming workers

OC4229: Client information workers not elsewhere classified

OC4312: Statistical, finance and insurance clerks

OC4413: Coding, proof-reading and related clerks

OC4419: Clerical support workers not elsewhere classified

OC511: Travel attendants, conductors and guides

OC514: Hairdressers, beauticians and related workers

OC5151: Cleaning and housekeeping supervisors in offices, hotels and other establishments

OC5161: Astrologers, fortune-tellers and related workers

OC5169: Personal services workers not elsewhere classified

OC532: Personal care workers in health services

OC5329: Personal care workers in health services not elsewhere classified

OC5419: Protective services workers not elsewhere classified

OC6: Skilled agricultural, forestry and fishery workers

OC61: Market-oriented skilled agricultural workers

OC6113: Gardeners, horticultural and nursery growers

OC6129: Animal producers not elsewhere classified

OC62: Market-oriented skilled forestry, fishery and hunting workers

OC6222: Inland and coastal waters fishery workers

OC63: Subsistence farmers, fishers, hunters and gatherers

OC633: Subsistence mixed crop and livestock farmers

OC6330: Subsistence mixed crop and livestock farmers

OC634: Subsistence fishers, hunters, trappers and gatherers

OC6340: Subsistence fishers, hunters, trappers and gatherers

OC71: Building and related trades workers, excluding electricians

OC711: Building frame and related trades workers

OC7113: Stonemasons, stone cutters, splitters and carvers

OC7114: Concrete placers, concrete finishers and related workers

OC7119: Building frame and related trades workers not elsewhere classified

OC712: Building finishers and related trades workers

OC7127: Air conditioning and refrigeration mechanics

OC713: Painters, building structure cleaners and related trades workers

OC72: Metal, machinery and related trades workers

OC721: Sheet and structural metal workers, moulders and welders, and related workers

OC722: Blacksmiths, toolmakers and related trades workers

OC7221: Blacksmiths, hammersmiths and forging press workers

OC7223: Metal working machine tool setters and operators

OC7224: Metal polishers, wheel grinders and tool sharpeners

OC7233: Agricultural and industrial machinery mechanics and repairers

OC7311: Precision-instrument makers and repairers

OC7315: Glass makers, cutters, grinders and finishers

OC7316: Sign writers, decorative painters, engravers and etchers

OC7317: Handicraft workers in wood, basketry and related materials

OC7318: Handicraft workers in textile, leather and related materials

OC7319: Handicraft workers not elsewhere classified

OC74: Electrical and electronic trades workers

OC741: Electrical equipment installers and repairers

OC7413: Electrical line installers and repairers

OC742: Electronics and telecommunications installers and repairers

OC7422: Information and communications technology installers and servicers

OC75: Food processing, wood working, garment and other craft and related trades workers

OC751: Food processing and related trades workers

OC7511: Butchers, fishmongers and related food preparers

OC7512: Bakers, pastry-cooks and confectionery makers

OC7516: Tobacco preparers and tobacco products makers

OC752: Wood treaters, cabinet-makers and related trades workers

OC7523: Woodworking-machine tool setters and operators

OC7531: Tailors, dressmakers, furriers and hatters

OC7532: Garment and related pattern-makers and cutters

OC7543: Product graders and testers (excluding foods and beverages)

OC7544: Fumigators and other pest and weed controllers

OC7549: Craft and related workers not elsewhere classified

OC8: Plant and machine operators, and assemblers

OC811: Mining and mineral processing plant operators

OC8112: Mineral and stone processing plant operators

OC8113: Well drillers and borers and related workers

OC8114: Cement, stone and other mineral products machine operators

OC812: Metal processing and finishing plant operators

OC8122: Metal finishing, plating and coating machine operators

OC813: Chemical and photographic products plant and machine operators

OC8131: Chemical products plant and machine operators

OC814: Rubber, plastic and paper products machine operators

OC815: Textile, fur and leather products machine operators

OC8151: Fibre preparing, spinning and winding machine operators

OC8154: Bleaching, dyeing and fabric cleaning machine operators

OC8155: Fur and leather preparing machine operators

OC8156: Shoemaking and related machine operators

OC8159: Textile, fur and leather products machine operators not elsewhere classified

OC816: Food and related products machine operators

OC8160: Food and related products machine operators

OC817: Wood processing and papermaking plant operators

OC818: Other stationary plant and machine operators

OC8183: Packing, bottling and labelling machine operators

OC8189: Stationary plant and machine operators not elsewhere classified

OC8212: Electrical and electronic equipment assemblers

OC831: Locomotive engine drivers and related workers

OC8312: Railway brake, signal and switch operators

OC8341: Mobile farm and forestry plant operators

OC8343: Crane, hoist and related plant operators

OC911: Domestic, hotel and office cleaners and helpers

OC9112: Cleaners and helpers in offices, hotels and other establishments

OC912: Vehicle, window, laundry and other hand cleaning workers

OC92: Agricultural, forestry and fishery labourers

OC921: Agricultural, forestry and fishery labourers

OC93: Labourers in mining, construction, manufacturing and transport

OC9329: Manufacturing labourers not elsewhere classified

OC9332: Drivers of animal-drawn vehicles and machinery

OC95: Street and related sales and service workers

OC96: Refuse workers and other elementary workers

OC9621: Messengers, package deliverers and luggage porters

OC9623: Meter readers and vending-machine collectors

OC9629: Elementary workers not elsewhere classified

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

WTSP: Waiting times from specialist assessment to treatment


Consultations

DECIMALS: Decimals

OBS_STATUS: Observation status

OBS_STATUS2: Observation status 2

OBS_STATUS3: Observation status 3

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 reports data for doctors consultations and dentists consultations (in all settings). The data refer to the average number of consultations/visits with a physician or a dentist per person per year.

AGE: Age

OC3230: Traditional and complementary medicine associate professionals

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

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


Diagnostic exams

description:
An exam is defined as a medical imaging session to study one (or more than one) body part that yields one or more views for diagnostic purposes.

          <p />

          Data are collected for Computed Tomography (CT) exams, Magnetic Resonance Imaging (MRI) exams, and Positron Emission Tomography (PET) exams. Data are collected for the total number of exams and for the breakdown between hospitals and ambulatory care providers.

ANNEX1: 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


description:
Average length of stay (ALOS) is calculated by dividing the number of bed-days by the number of discharges during the year.
          The list of diagnostic categories is based on the International Shortlist for Hospital Morbidity Tabulation (ISHMT).

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

name: Hospital average length of stay by diagnostic categories


description:
A hospital discharge is the formal release of a patient from a hospital.

          <p />

          The list of diagnostic categories is based on the International Shortlist for Hospital Morbidity Tabulation (ISHMT). Click here to see the complete shortlist with ICD-10 and ICD-9 codes.

name: Hospital discharges by diagnostic categories


Immunisations

description: This dataset reports data on children immunisation, for immunisation against Diphtheria, Tetanus and Pertussis, immunisation against Measles and immunisation against Hepatitis B, as well as immunisation against influenza among the population aged 65 and over.


Healthcare utilisation

description: This dataset reports data on key aspects of the utilisation of healthcare, such as consultations with doctors and dentists, immunisation of children and the population aged 65+, cancer screening, hospital indicators such as discharges or average length of stay, diagnostic exams, surgical procedures and waiting times.


Screening

description: This dataset reports survey data and programme data for three types of cancer screening: breast cancer, cervical cancer and colorectal cancer.


Surgical procedures

description:
This dataset reports data for a selection of surgical procedures (by ICD-9-CM).

          <p />

          Surgical procedures are medical interventions involving an incision with instruments usually performed in an operating theatre and normally involving anaesthesia and/or respiratory assistance. Surgical procedures can be performed either as inpatient cases, day cases or, in certain instances, as outpatient cases.


Waiting times

description:
This dataset reports data on waiting times for selected elective surgeries (by ICD-9-CM).

          Waiting times from specialist assessment to treatment includes the time elapsed for patients on the non-emergency (elective) surgery waiting list from the date they were added to the waiting list for the procedure (following specialist assessment) to the date they were admitted for treatment.

          Waiting times of patients on the list includes the time elapsed for patients on the non-emergency (elective) surgery waiting list from the date they were added to the waiting list for the procedure (following specialist assessment) to a designated census date.


Healthcare coverage

description:
The share of a population covered for a core set of health services offers an initial measure of access to care and financial protection. Most OECD countries have achieved universal or near-universal coverage for a core set of health services, which usually include consultations with doctors, tests and examinations, and hospital care.

This dataset presents the latest data for government (compulsory) health insurance, and for the various types of voluntary health insurance coverage.

Definitions, Sources and Methods per country

FREQ: Frequency of observation

INSURANCE_TYPE: Insurance type

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

COVGCMED: Government/compulsory health insurance

HCVG: Healthcare coverage

PHIN: Voluntary health insurance

PHINCMPI: Complementary voluntary health insurance

PHINDUPI: Duplicate voluntary health insurance

PHINPMPI: Primary voluntary health insurance

PHINSUPI: Supplementary voluntary health insurance

PHINTPHI: Total voluntary health insurance

TPRIBASI: Public and primary voluntary health insurance

HIC: Health insurance coverage


REF_YEAR_PRICE: Price reference year

description:
This dataset provides data on the number of caring personnel by status (ie. practising caring personnel or professionally active caring personnel).

Practising caring personnel (personal care workers) include both Healthcare assistants in institutions (ISCO-08 5321) and Home-based personal care workers (ISCO-08 5322).

Healthcare assistants (ISCO-08 code: 5321) provide direct personal care and assistance with activities of daily living to patients and residents in a variety of healthcare settings such as hospitals, clinics, and residential nursing care facilities. They generally work in implementation of established care plans and practices, and under the direct supervision of medical, nursing or other health professionals or associate professionals.

Home-based personal care workers (ISCO-08 code: 5322) provide routine personal care and assistance with activities of daily living to persons who are in need of such care due to effects of ageing, illness, injury, or other physical or mental condition in private homes and other independent residential settings.

Professionally active caring personnel (personal care workers) include practising caring personnel and other caring personnel for whom their education is a prerequisite for the execution of the job.

HEALTH_PROF: Health profession

HEALTH_PROF_ACTIVITY_STATUS: Health profession activity status

PRICE_BASE: Price base

EMPLOTGP: Other generalist (non-specialist) medical practitioners

EMPLOTSP: Other specialists not elsewhere classified

HOEMHOTH: Other health service providers employed in hospitals

HBO_ICU_A_GT80: Adult intensive care unit (ICU) hospital bed occupancy over 80%

HBO_ICU_A_GT95: Adult intensive care unit (ICU) hospital bed occupancy over 95%

HBU_ICU_A: Adult intensive care unit (ICU) hospital beds

HBU_ICU_N: Neonatal intensive care unit (ICU) hospital beds

HBU_ICU_P: Paediatric intensive care unit (ICU) hospital beds

name: Caring personnel (personal care workers)


Dentists

description:
This dataset provides data on the number of dentists by status (ie. practising dentists, professionally active dentists, and dentists licenced to practice)

Practising dentists provide services for patients. They include stomatologists, dental and maxillofacial surgeons.

Professionally active dentists are practising dentists and other dentists for whom their education in dentistry / stomatology is a prerequisite for the execution of the job.

Dentists licensed to practice include practising and other (non-practising) dentists, who are registered and entitled to practice as healthcare professionals in the field of dentistry. They include stomatologists, dental and maxillofacial surgeons.


Graduates

description:
This dataset provides data on graduates by category defined as follows:

Medical graduates: number of students who have graduated in medicine from medical faculties or similar institutions, i.e., who have completed basic medical education in a given year.

Dentists graduates: number of students who have obtained a recognised qualification in dentistry in a given year.

Pharmacists graduates: number of students who have obtained a recognised qualification in pharmacy in a given year.

Midwives graduates: number of students who have obtained a recognised qualification in midwifery in a given year.

Nursing graduates: number of students who have obtained a recognised qualification in nursing in a given year.

Professional nursing graduates: number of students who have obtained a recognised qualification as a professional nurse in a given year.

Associate professional nursing graduates: number of students who have obtained a recognised qualification as an associate professional nurse in a given year.


Hospital employment

description:
This dataset provides data on total hospital employment (ie. persons employed in general and specialty hospitals) by category:

Physicians

Professional nurses and midwives

Associate professional nurses

Healthcare assistants

Other health service providers

Other staff

This refers to service contracts with non-employed health professionals on treatment of hospital patients. Data are presented by number of persons employed (head counts), and number of full-time equivalent (FTE) persons employed in general and specialty hospitals. Self-employed are included.


Midwives

description:
This dataset provides data on the number of midwives by status (ie. practising midwives, professionally active midwives, and midwives licenced to practice).

Practising midwives provide services directly to patients.

Professionally active midwives include practising and other (non-practising) midwives for whom their education is a prerequisite for the execution of the job.

Midwives licensed to practice have acquired the requisite education and qualifications to be registered and/or legally licensed to practice midwifery. They include both practising and other (non-practising) midwives.


Nurses

description:
This dataset provides data on the number of nurses by status (ie. practising nurses, professionally active nurses, and nurses licenced to practice) and category (ie. Professional nurses and associate professional nurses).

Practising nurses provide services directly to patients.

Professionally active nurses include practising nurses and other nurses for whom their education is a prerequisite for the execution of the job.

A nurse licensed to practice has completed a programme of nursing education and is qualified and authorised in his/her country to practice nursing. They include practising and other (nonpractising) nurses.

Categories are defined as follows:

Professional nurses assume responsibility for the planning and management of the care of patients, including the supervision of other healthcare workers, working autonomously or in teams with medical doctors and others in the practical application of preventive and curative measures.

Associate professional nurses generally work under the supervision of, and in support of implementation of healthcare, treatment and referrals plans established by medical, nursing and other health professionals.


Pharmacists

description:
This dataset provides data on the number of pharmacists by status (ie. practising pharmacists, professionally active pharmacists, and pharmacists licenced to practice).

Practising pharmacists prepare, dispense or sell medicaments and drugs for patients and provide advice.

Professionally active pharmacists are practising pharmacists and other pharmacists for whom their education in pharmacy is a prerequisite for the execution of the job.

Pharmacists licensed to practice include practising and other (non-practising) pharmacists who are registered and entitled to practice.


Physiotherapists

description:
This dataset provides data on the number of practising physiotherapists.

Physiotherapists assess, plan and implement rehabilitative programs that improve or restore human motor functions, maximize movement ability, relieve pain syndromes, and treat or prevent physical challenges associated with injuries, diseases and other impairments. They apply a broad range of physical therapies and techniques such as movement, ultrasound, heating, laser and other techniques.

Practising physiotherapists provide services for patients.


Remuneration

description:
This dataset provides data on the remuneration of health professionals by category (ie. general practitioners, specialists, and hospital nurses) and by status (ie. salaried and self-employed).

General practice includes fully-qualified general practitioners (GPs). Physicians in training should normally be excluded.

Specialists include fully-qualified physicians who have specialised and work primarily in areas other than general practice. Physicians in training should normally be excluded.

Salaried hospital nurses include registered nurses actively practising in public and private hospitals and who receive most of their income via a salary.

Salaried: Employees and who receive most of their income via a salary.

Self-employed: Physicians who are primarily non-salaried. That is, they are either self-employed, or operate independently, usually receiving (mainly) either capitation or fee-for-service reimbursement.

For physicians who are both salaried and operate in a self-employed or independent capacity, they are presented in the category under which they receive the majority of their compensation.

Remuneration is defined as the average gross annual income, including social security contributions and income taxes payable by the employee. Final Consumption expenditure (FCE) price is used.

NOTE: Average salaries for healthcare professionals are now converted to USD PPPs using PPPs for household final consumption to bring them in line with average earnings calculations across the OECD. Average salaries presented in the 2021 database cannot be compared with data from previous versions.


Hospital beds by function of healthcare

description:
This dataset provides data on the number of total hospitals beds by function of healthcare (ie. curative (acute) care beds, rehabilitative care beds, long-term care beds, other hospital beds) and by type of care (ie. somatic or psychiatric care)

Total hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:

Curative care (acute care) beds in hospitals (HP.1) are hospital beds that are available for curative care (HC.1 in the SHA classification).

Rehabilitative care beds in hospitals (HP.1) are hospital beds that are available for rehabilitative care (HC.2 in the SHA classification).

Long-term care beds in hospitals (HP.1) are hospital beds accommodating patients requiring long-term care (HC.3 in the SHA classification)

All other beds in hospitals (HP.1) not elsewhere classified.

Bed numbers according to these functional categories are also broken down between somatic care and psychiatric care.

Somatic care beds in hospitals are hospital beds that are available for care relating to the body, as distinguished from psychiatric/mental care.

Psychiatric care beds in hospitals are hospital beds accommodating patients with mental health problems.

HEALTH_CARE_PROVIDER: Healthcare provider

HEALTH_FUNCTION: Healthcare function

MEDICAL_TECH: Medical technology

PET_SCAN: Positron emission tomography (PET) scanners


Intensive care unit (ICU) beds and use

description:
This dataset provides data on the number of intensive care unit (ICU) beds and use.

An intensive care unit (ICU) is an organized system for the provision of care to critically ill patients that provides intensive and specialised medical and nursing care, an enhanced capacity for monitoring, and multiple modalities of physiologic organ support to sustain life during a period of acute organ system insufficiency. Although an ICU is based in a defined geographic area of a hospital, its activities often extend beyond the walls of the physical space to include the emergency department, hospital ward, and follow-up clinic.

Data are provided as follows:

Total ICU beds (providing intensive care of Levels 1 to 3): average number of available beds. This data includes all adult, neonatal and paediatric ICU beds available for all patients needing intensive care (not only for COVID-19 patients).

Total adult ICU beds (providing intensive care of Levels 1 to 3): average number of available beds and maximum number of available beds.

Critical care adult beds (providing intensive care of Levels 2 and 3): average number of available beds and maximum number of available beds.

Total neonatal ICU beds: average number of available beds.

Total paediatric ICU beds: average number of available beds.

Total adult ICU bed-days: number of days during which adult ICU beds were effectively occupied by inpatients.

Total adult ICU occupancy rate: average occupancy rate calculated as the number of ICU beds effectively occupied (bed-days) for intensive care divided by the number of ICU beds available (at any one time) multiplied by 365 days, with the ratio multiplied by 100. The maximum daily occupancy rate reached during the period is also requested.

Days with total adult ICU occupancy rate over 80% and over 95%: number of days over the year where the ICU occupancy rate was higher than 80% and 95%.


Hospital beds by sector

description:
This dataset provides data on the number of total hospitals beds by sector (ie. beds in publicly owned hospitals, beds in not-for-profit privately owned hospitals, beds in for-profit privately owned hospitals). Total hospital beds are all hospital (HP.1) beds which are regularly maintained and staffed and immediately available for the care of admitted patients. They are the sum of the following categories:

Beds in publicly owned hospitals: Hospitals that are owned or controlled by a government unit or another public corporation (where control is defined as the ability to determine the general corporate policy).

Beds in not-for-profit privately owned hospitals:  Hospitals that are legal or social entities created for the purpose of producing goods and services, whose status does not permit them to be a source of income, profit, or other financial gain for the unit(s) that establish, control or finance them.

Beds in for-profit privately owned hospitals: Hospitals that are legal entities set up for the purpose of producing goods and services and are capable of generating a profit or other financial gain for their owners.


Hospitals

description:
This dataset provides data on the number of hospitals by sector (ie. publicly-owned hospitals, not-for-profit privately owned hospitals, for-profit privately owned hospitals) and by type (ie. General hospitals).

Hospitals refer to:

General hospitals (HP .1.1)

Mental health hospitals (HP .1.2)

Specialised hospitals (other than mental health hospitals).(HP .1.3)

Publicly owned hospitals: Hospitals that are owned or controlled by a government unit or another public corporation (where control is defined as the ability to determine the general corporate policy).

Not-for-profit privately owned hospitals: Hospitals that are legal or social entities created for the purpose of producing goods and services, whose status does not permit them to be a source of income, profit, or other financial gain for the unit(s) that establish, control or finance them.

For-profit privately owned hospitals:
Hospitals that are legal entities set up for the purpose of producing goods and services and are capable of generating a profit or other financial gain for their owners.

General hospitals (HP.1.1):  comprise licensed establishments primarily engaged in providing general diagnostic and medical treatment (both surgical and non-surgical) to inpatients with a wide variety of medical conditions. These establishments may provide other services, such as outpatient services, anatomical pathology services, diagnostic X-ray services, clinical laboratory services or operating room services for a variety of procedures, and/or pharmacy services, that are usually used by internal patients (intermediate outputs within the hospital treatment) but also by outside patients (see A System of Health Accounts, 2011 Edition).


Healthcare provider resources

description: Physical resources and technology in the health sector.


Medical technology availability

description:
This dataset provides data on the availability of medical technology by equipment (computed tomography scanners, magnetic resonance imaging units, positron emission tomography (PET) scanners, gamma cameras, mammographs, and radiation therapy equipment) and by sector (hospitals or ambulatory).

Computed Tomography scanners (CT units): A CT or CAT scanner is an x-ray machine which combines many x-ray images with the aid of a computer to generate cross-sectional views and, if needed, three-dimensional images of the internal organs and structures of the body.

Magnetic Resonance Imaging units (MRI units): MRI is an imaging technique designed to visualise internal structures of the body using magnetic and electromagnetic fields which induce a resonance effect of hydrogen atoms. The electromagnetic emission created by these atoms is registered and processed by a dedicated computer to produce the images of the body structures.

Positron Emission Tomography scanner units (PET units): PET is a highly specialised imaging technique using short-lived radioactive substances. This technique produces three dimensional images which are used mainly for the assessment of cancer spread in a patient's body.

A Gamma camera (including Single Photon Emission Computed Tomography, SPECT) is used for a nuclear medicine procedure in which the camera rotates around the patient to register gamma rays emission from an isotope injected to the patient's body. The gathered data are processed by a computer to form a tomographic (cross-sectional) image.

Mammography machines (those designed exclusively for taking mammograms). The code is CIM-9 87.37.

Radiation therapy equipment: number of machines used for treatment with x-rays or radionuclide. They include linear accelerators, Cobalt-60 units, Caesium-137 therapy units, low to orthovoltage x-ray units, high dose and low dose rate brachytherapy units and conventional brachytherapy units.

Hospitals sector HP.1 :Hospitals comprise licensed establishments that are primarily engaged in providing medical, diagnostic and treatment services that include physician, nursing and other health services to inpatients and the specialised accommodation services required by inpatients.

Ambulatory healthcare sector HP.3 : This item comprises establishments that are primarily engaged in providing healthcare services directly to outpatients who do not require inpatient services. This includes both offices of general medical practitioners and medical specialists and establishments specialising in the treatment of day-cases and in the delivery of home care services.


Avoidable mortality

description:
This dataset presents data on preventable, treatable and avoidable (preventable + treatable) causes of mortality. Preventable and treatable causes of mortality are defined as follows:

- Preventable mortality: Causes of death that can be mainly avoided through effective public health and primary prevention interventions (i.e. before the onset of diseases/injuries, to reduce incidence).

- Treatable (or amenable) mortality: Causes of death that can be mainly avoided through timely and effective healthcare interventions, including secondary prevention such as screening, and treatment (i.e. after the onset of diseases, to reduce case-fatality).

Both indicators refer to premature mortality (under age 75).

CALC_METHODOLOGY: Calculation methodology

DEATH_CAUSE: Cause of death

DISEASE: Disease

CICDAFFE: Certain conditions originating in the perinatal period

CICDCONG: Congenital malformations, deformations and chromosomal abnormalities

CICDENDO: Endocrine, nutritional and metabolic diseases

CICDGROS: Pregnancy, childbirth and the puerperium

CICDINFE: Certain infectious and parasitic diseases

CICDOSTE: Diseases of the musculoskeletal system and connective tissue

CICDPEAU: Diseases of the skin and subcutaneous tissue

CICDSANG: Diseases of the blood and blood-forming organs

PLYLCONG: Congenital malformations and chromosomal abnormalities

PLYLGROS: Complications of pregnancy, childbirth and the puerperium

NONE: No minimum threshold of gestation period or birthweight

WK22: Minimum threshold of 22 weeks (or 500 grams birthweight)

CAWI: Compensated absence from work due to illness

LFEXPDFM: Life expectancy difference (female-male)

LFEXPDMF: Life expectancy difference (male-female)

SAWI: Self-reported absence from work due to illness

ISCED11_0T2: Pre-primary, primary and lower secondary education

ISCED11_3T4: Upper secondary and post-secondary non-tertiary all programmes


Absence from work due to illness

description: This dataset presents time series on absence from work due to illness (number of work days lost per year due to illness per employed person, either self-reported or compensated. It excludes maternity leave.)


Cancer

description: This dataset presents time series on selected cancer incidence rates, per 100 000 population.


Communicable diseases

description: This dataset presents time series on Acquired Immunodeficiency Syndrome (AIDS), for the number of AIDS cases and incidence rates per 100 000 population at year of diagnosis. It also includes data on incidence of pertussis, measles, and hepatitis B, in terms of rates of reported cases per 100 000 population.


Causes of mortality

description:
This dataset presents the number of deaths and age-standardised death rates by causes of deaths. The number of deaths according to sex and selected causes are extracted from the World Health Organization Mortality Database available at . Detailed information on the coverage and reliability of the cause-of-death data is regularly published in World Health Statistics Annuals.

The selected causes of death presented in OECD Health Statistics 2023 are detailed in an Excel file available for download, with codes according to the Tenth revision of the International Classification of Diseases (ICD) along with codes from other ICD revisions used in the WHO Mortality Database.


Health status

description: This dataset presents core population health indicators, covering life expectancy; mortality indicators such as causes of mortality (by ICD codes), maternal and infant mortality, avoidable (preventable+treatable) mortality; potential years of life lost; perceived health status (also disaggregated by socio-economic status and education level); low birthweight; incidence of key communicable diseases; cancer incidence; injuries in road traffic accidents; and absence from work due to illness.


Injuries

description: This dataset presents time series on injuries in road traffic accidents (number of people injured in road traffic accidents per million population.)


Infant health: low birthweight

description: This dataset presents time series on the number of live births weighing less than 2500 grams as a percentage of the total number of live births.


Life expectancy

description: Life expectancy at birth and at ages 40, 60, 65 and 80 years old is the average number of years that a person at that age can be expected to live, assuming that age-specific mortality levels remain constant.


Maternal and infant mortality

description: This dataset presents time series on infant, neonatal, perinatal and maternal mortality.


Perceived health status

description: This dataset presents data on perceived health status (percentage of the population, aged 15 years old and over who report their health to be ‘good/very good' (or excellent) (all positive response categories), ‘fair’ (not good, not bad), ‘bad/very bad’ (all negative response categories). It also includes data on perceived health status by age and gender (percentage of the population who report their health to be 'good/very good' (or excellent), for various age groups).


description:
This dataset presents data on perceived health status by income quintile (the proportion of persons aged 15 years old and over within the highest and lowest income quintiles who report their health to be ‘good/very good’). Quintile 1 (Lowest 20% of income group) and Quintile 5 (Highest 20% of income group) are taken into account.

This dataset also includes data on perceived health status by education level (proportion of persons aged 15 years old and over by level of education who report their health to be “good” or “better”.) The following education levels are taken into account: Low education (ISCED 0 to 2), Medium education (ISCED 3 and 4), and High education (ISCED 5 to 8).

name: Perceived health status by socio-economic status


Potential years of life lost

description:
Potential Years of Life Lost (PYLL) is a summary measure of premature mortality which provides an explicit way of weighting deaths occurring at younger ages, which are, a priori, preventable. The calculation of PYLL involves summing up deaths occurring at each age and multiplying this with the number of remaining years to live up to a selected age limit. The limit of 75 years has been chosen for the calculations in OECD Health Statistics.

The selected ICD categories presented in OECD Health Statistics 2023 are detailed in an Excel file available for download, with codes according to the Tenth revision of the International Classification of Diseases (ICD) along with codes from other ICD revisions used in the WHO Mortality Database.


Health workforce migration

description:
Internationally comparable statistics on medical staff (doctors and nurses) and whether they are domestically-trained or foreign-trained.

          <p />Data on the native-born but foreign-trained persons are available when selecting 1) Origin: all, 2) Unit of measure: Persons, and 3) Measure: Health workforce, native-born stock.

ORIGIN: Origin

TRAINING_PLACE: Place of training