description: The indicator measures the difference between the employment rates of men and women aged 20 to 64. The employment rate is calculated by dividing the number of persons aged 20 to 64 in employment by the total population of the same age group. The indicator shows activity and employment status for four groups of persons: employed persons working full time, employed persons working part time, employed persons with temporary contract and underemployed persons working part time. The indicator is based on the EU Labour Force Survey.

dimensions_codes_order: FREQ age unit wstatus geo

Y20-64: From 20 to 64 years

PC_PNT: Percentage point

EMP_PT: Employed persons working part-time

EMP_TEMP: Employed persons with temporary contract

UEMP_PT: Underemployed persons working part-time

name: Gender employment gap, by type of employment


OBS_STATUS: Observation Status

b: break in time series

d: definition differs (see metadata)

u: low reliability

description: The economically inactive population comprises individuals that are not working, not actively seeking work and not available to work. Therefore, they are neither employed nor unemployed and considered to be outside the labour force. This definition, used in the EU Labour Force Survey (EU-LFS), is based on the guidelines of the International Labour Organization. While several reasons may exist why somebody is not seeking employment, only the main one is considered. Inactivity due to caring responsibilities refers to the reasons ‘looking after children or incapacitated adults’ and ‘other family or personal responsibilities’.

dimensions_codes_order: FREQ reason age unit sex geo

FREQ: Frequency

age: Age class

geo: Geopolitical entity (reporting)

reason: Reason

sex: Sex

unit: Unit of measure

[A] Annual

AT: Austria

BE: Belgium

BG: Bulgaria

CH: Switzerland

CY: Cyprus

CZ: Czechia

DE: Germany (until 1990 former territory of the FRG)

DK: Denmark

EA20: Euro area – 20 countries (from 2023)

EE: Estonia

EL: Greece

ES: Spain

EU27_2020: European Union - 27 countries (from 2020)

FI: Finland

FR: France

HR: Croatia

HU: Hungary

IE: Ireland

IS: Iceland

IT: Italy

LT: Lithuania

LU: Luxembourg

LV: Latvia

ME: Montenegro

MK: North Macedonia

MT: Malta

NL: Netherlands

NO: Norway

PL: Poland

PT: Portugal

RO: Romania

RS: Serbia

SE: Sweden

SI: Slovenia

SK: Slovakia

TR: Türkiye

UK: United Kingdom

FAM_CARE_PER_OTH: Care of adults with disabilities or children and other family or personal reasons

F: Females

M: Males

T: Total

PC_INAC_WWRK: Percentage of population outside the labour force and wanting to work

name: Persons outside the labour force due to caring responsibilities by sex

provider_code: Eurostat

provider_name: Eurostat


OBS_FLAG: Observation status (Flag)

dimensions_codes_order: freq org_inst sex unit geo

freq: Time frequency

org_inst: National and international organizations and institutions

AL: Albania

BA: Bosnia and Herzegovina

DE: Germany

EU28: European Union - 28 countries (2013-2020)

LI: Liechtenstein

XK: Kosovo*

GOV_NAT: National government

PARL_NAT: National parliament

PC_WMN: Percentage of women

name: Seats held by women in national parliaments and governments (source: EIGE)


dimensions_codes_order: freq prof_pos sex unit geo

prof_pos: Professional position

BRD: Board members

EXEC: Executives

PC: Percentage

name: Positions held by women in senior management positions (source: EIGE)


bu: break in time series, low reliability

e: estimated

description: The indicator measures the share of total population having neither a bath, nor a shower, nor an indoor flushing toilet in their household.

dimensions_codes_order: freq unit hhtyp incgrp sex age geo

hhtyp: Type of household

incgrp: Income situation in relation to the risk of poverty threshold

TOTAL: Total

EA19: Euro area - 19 countries  (2015-2022)

EU27_2007: European Union - 27 countries (2007-2013)

A_MD60: Above 60% of median equivalised income

B_MD60: Below 60% of median equivalised income

name: Population having neither a bath, nor a shower, nor indoor flushing toilet in their household by poverty status


p: provisional

s: Eurostat estimate

description: The indicator measures the percentage of population connected to waste water treatment systems with at least secondary treatment. Thereby, waste water from urban sources or elsewhere is treated by a process generally involving biological treatment with a secondary settlement or other process, resulting in a removal of organic material that reduces the biochemical oxygen demand (BOD) by at least 70 % and the chemical oxygen demand (COD) by at least 75 %.

dimensions_codes_order: FREQ ww_tp unit geo

ww_tp: Wastewater treatment plants

XK: Kosovo (under United Nations Security Council Resolution 1244/99)

WWT_GE2: Urban, independent and other wastewater treatment - at least secondary treatment

name: Population connected to at least secondary waste water treatment


description: Biochemical oxygen demand (BOD) is used to measure water quality. It refers to the amount of oxygen required by aerobic microorganisms to decompose organic substances in a water sample over a period of five days in the dark at 20°C (BOD5), measured as milligrams per litre (mg O2/L) and weighted by the number of measuring stations. High values of BOD5 are usually a sign of organic pollution, which affects the water quality. The cleanest rivers have BOD5 values of less than 1 mg O2/L, moderately and heavily polluted rivers show values ranging from 2 to 8 mg O2/L. Only complete series after inter/extrapolation are presented. For details on the total of measuring stations and their distribution over the countries, please consult the metadata file.

dimensions_codes_order: FREQ geo

EU_V: European Union (aggregate changing according to the context)

name: Biochemical oxygen demand in rivers (source: EEA)


Nitrate in groundwater (source: EEA)

dimensions_codes_order: freq watpol unit geo

watpol: Water pollutants

MG_L: Milligrams per litre

NO3_GW: Nitrate in groundwater


Phosphate in rivers (source: EEA)

PO4_RIV: Phosphate in rivers


description: The Water Exploitation Index plus (WEI+) is a measure of total fresh water use as a percentage of the renewable fresh water resources (groundwater and surface water) at a given time and place. It quantifies how much water is abstracted and how much water is returned after use to the environment. The difference between water abstraction and return is regarded as water use and illustrates the pressure on renewable freshwater resources due to water demand. In the absence of Europe-wide agreed formal targets, values above 20% are generally considered as an indication of water scarcity, while values equal or bigger than 40% indicate situations of severe water scarcity, i.e. the use of freshwater resources is clearly unsustainable. The indicator is presented as annual average values. Annual calculations at national level, however, cannot reflect uneven spatial and seasonal distribution of resources and may therefore mask water scarcity that occurs on a seasonal or regional basis. The indicator is a result of estimations by EEA based on data from the WISE SoE - Water quantity database (WISE 3) and other open sources (JRC, Eurostat, OECD, FAO) and including gap filling methods.

dimensions_codes_order: FREQ unit geo

name: Water exploitation index, plus (WEI+) (source: EEA)


Primary energy consumption

be: break in time series, estimated

bep: break in time series, estimated, provisional

ep: estimated, provisional

description: The indicator measures the total energy needs of a country excluding all non-energy use of energy carriers (e.g. natural gas used not for combustion but for producing chemicals). "Primary Energy Consumption" covers the energy consumption by end users such as industry, transport, households, services and agriculture, plus energy consumption of the energy sector itself for production and transformation of energies, losses occurring during the transformation of energies (e.g. the efficiency of electricity production from combustible fuels) and the transmission and distribution losses of energy).

dimensions_codes_order: freq unit geo

MTOE: Million tonnes of oil equivalent

TOE_HAB: Tonnes of oil equivalent (TOE) per capita


Final energy consumption

description: The indicator measures the energy end-use in a country excluding all non-energy use of energy carriers (e.g. natural gas used not for combustion but for producing chemicals). “Final energy consumption” only covers the energy consumed by end users, such as industry, transport, households, services and agriculture; it excludes energy consumption of the energy sector itself and losses occurring during transformation and distribution of energy.


description: The indicator measures how much electricity and heat every citizen consumes at home excluding energy used for transportation. Since the indicator refers to final energy consumption, only energy used by end consumers is considered. The related consumption of the energy sector itself is excluded.

KGOE: Kilogram of oil equivalent (KGOE)

name: Final energy consumption in households per capita


Energy productivity

description: The indicator measures the amount of economic output that is produced per unit of gross available energy. The gross available energy represents the quantity of energy products necessary to satisfy all demand of entities in the geographical area under consideration.The economic output is either given as in the unit of Euros in chain-linked volumes to the reference year 2010 at 2010 exchange rates or in the unit PPS (Purchasing Power Standard). The former is used to observe the evolution over time for a specific region while the latter allows comparing Member States in a given year.

EUR_KGOE: Euro per kilogram of oil equivalent (KGOE)

PPS_KGOE: Purchasing power standard (PPS) per kilogram of oil equivalent


description: The indicator measures the share of renewable energy consumption in gross final energy consumption according to the Renewable Energy Directive. The gross final energy consumption is the energy used by end-consumers (final energy consumption) plus grid losses and self-consumption of power plants.

dimensions_codes_order: freq nrg_bal unit geo

nrg_bal: Energy balance

REN: Renewable energy sources

REN_ELC: Renewable energy sources in electricity

REN_HEAT_CL: Renewable energy sources in heating and cooling

REN_TRA: Renewable energy sources in transport

name: Share of renewable energy in gross final energy consumption by sector


Energy import dependency by products

description: The indicator shows the share of total energy needs of a country met by imports from other countries. It is calculated as net imports divided by the gross available energy. Energy dependence = (imports – exports) / gross available energy.

dimensions_codes_order: freq siec unit geo

siec: Standard international energy product classification (SIEC)

C0000X0350-0370: Solid fossil fuels

G3000: Natural gas

O4000XBIO: Oil and petroleum products (excluding biofuel portion)


description: The indicator measures the share of population who are unable to keep home adequately warm. Data for this indicator are being collected as part of the European Union Statistics on Income and Living Conditions (EU-SILC) to monitor the development of poverty and social inclusion in the EU. The data collection is based on a survey, which means that indicator values are self-reported.

dimensions_codes_order: freq hhtyp incgrp unit geo

name: Population unable to keep home adequately warm by poverty status


Real GDP per capita

description: The indicator is calculated as the ratio of real GDP to the average population of a specific year. GDP measures the value of total final output of goods and services produced by an economy within a certain period of time. It includes goods and services that have markets (or which could have markets) and products which are produced by general government and non-profit institutions. It is a measure of economic activity and is also used as a proxy for the development in a country’s material living standards. However, it is a limited measure of economic welfare. For example, neither does GDP include most unpaid household work nor does GDP take account of negative effects of economic activity, like environmental degradation.

dimensions_codes_order: freq unit na_item geo

na_item: National accounts indicator (ESA 2010)

B1GQ: Gross domestic product at market prices

CLV10_EUR_HAB: Chain linked volumes (2010), euro per capita

CLV_PCH_PRE_HAB: Chain linked volumes, percentage change on previous period, per capita


description: This indicator shows the investment for the total economy, government, business as well as household sectors. The indicator gives the share of GDP that is used for gross investment (rather than being used for e.g. consumption or exports). It is defined as gross fixed capital formation (GFCF) expressed as a percentage of GDP for the government, business and households sectors. GFCF consists of resident producers' acquisitions, less disposals of fixed assets plus certain additions to the value of non-produced assets realised by productive activity, such as improvements to land. Fixed assets comprise, for example, dwellings, other buildings and structures (roads, bridges etc.), machinery and equipment, but also intangible assets such as computer software and other intellectual property.

dimensions_codes_order: freq unit indic geo

indic: Indicator

INV_BSN: Business investment

INV_GOV: Government investment

INV_HH: Households investment

INV_TOT: Total investment

name: Investment share of GDP by institutional sectors


description: The indicator measures the share of the population aged 15 to 29 who is not employed and not involved in education or training. The numerator of the indicator refers to persons who meet the following two conditions: (a) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition) and (b) they have not received any education or training (i.e. neither formal nor non-formal) in the four weeks preceding the Labour Force Survey (LFS). The denominator includes the total population aged 15 to 29 (excluding those who did not answer the questions on 'participation in regular (formal) education and training').

dimensions_codes_order: FREQ age unit sex geo

Y15-29: From 15 to 29 years

PC_POP: Percentage of total population

name: Young people neither in employment nor in education and training by sex (NEET)


bd: break in time series, definition differs (see metadata)

description: The indicator measures the share of the population aged 15 to 29 who are not employed and not involved in education or training. The numerator of the indicator refers to persons who meet the following two conditions: (a) they are not employed (i.e. unemployed or inactive according to the International Labour Organisation definition) and (b) they have not received any education or training (i.e. neither formal nor non-formal) in the four weeks preceding the Labour Force Survey (LFS). The denominator includes the total population aged 15 to 29 (excluding those who did not answer the questions on 'participation in regular (formal) education and training'). The data is presented by citizenship, showing the shares for citizens of the reporting country and for non-EU citizens.

dimensions_codes_order: freq sex age wstatus citizen training unit geo

citizen: Country of citizenship

training: Training

wstatus: Activity and employment status

EU27_2020_FOR: EU27 countries (from 2020) except reporting country

NAT: Reporting country

NEU27_2020_FOR: Non-EU27 countries (from 2020) nor reporting country

NO_FE_NO_NFE: Neither formal nor non-formal education or training

NEMP: Not employed persons

name: Young people neither in employment nor in education and training (NEET), by citizenship


Employment rate by sex

description: The indicator measures the share of the population aged 20 to 64 which is employed. Employed persons are defined as all persons who, during a reference week, worked at least one hour for pay or profit or were temporarily absent from such work. The indicator is part of the adjusted, break-corrected main indicators series and should not be compared with the annual and quarterly non-adjusted series, which have slightly different results.

dimensions_codes_order: FREQ indic_em age unit sex geo

indic_em: Employment indicator

EMP_LFS: Total employment (resident population concept - LFS)


Employment rate, by citizenship

description: The indicator measures the share of the population aged 20 to 64 which are employed. Employed persons are defined as all persons who, during a reference week, worked at least one hour for pay or profit or were temporarily absent from such work. The data is presented by citizenship, showing the shares for citizens of the reporting country and for non-EU citizens.

dimensions_codes_order: FREQ unit sex age citizen geo


Long-term unemployment rate by sex

description: The indicator measures the share of the economically active population aged 15 to 74 who has been unemployed for 12 months or more. Unemployed persons are defined as all persons who were without work during the reference week, were currently available for work and were either actively seeking work in the last four weeks or had already found a job to start within the next three months. The unemployment period is defined as the duration of a job search, or as the length of time since the last job was held (if shorter than the time spent on a job search). The economically active population comprises employed and unemployed persons. The indicator is part of the adjusted, break-corrected main indicators series and should not be compared with the annual and quarterly non-adjusted series, which have slightly different results.

Y15-74: From 15 to 74 years

LTU: Long-term unemployment

PC_ACT: Percentage of population in the labour force


description: The indicator measures the number of fatal accidents that occur during the course of work and lead to the death of the victim within one year of the accident. The incidence rate refers to the number of fatal accidents per 100 000 persons in employment. An accident at work is 'a discrete occurrence in the course of work which leads to physical or mental harm'. This includes all accidents in the course of work, whether they happen inside or outside the premises of the employer, accidents in public places or different means of transport during a journey in the course of the work (commuting accidents are excluded) and at home (such as during teleworking). It also includes cases of acute poisoning and wilful acts of other persons, if these happened during the course of the work.

dimensions_codes_order: freq unit sex nace_r2 severity geo

nace_r2: Statistical classification of economic activities in the European Community (NACE Rev. 2)

severity: Severity (days lost)

TOTAL: Total - all NACE activities

FAT: Fatal

RT_INC: Incidence rate

name: Fatal accidents at work per 100 000 workers, by sex


description: The indicator measures gross domestic expenditure on R&D (GERD) as a percentage of the gross domestic product (GDP). "Research and experimental development (R&D) comprise creative work undertaken on a systematic basis in order to increase the stock of knowledge, including knowledge of man, culture and society and the use of this stock of knowledge to devise new applications" (Frascati Manual, 2002 edition, § 63).

dimensions_codes_order: FREQ unit sectperf geo

sectperf: Sector of performance

JP: Japan

KR: South Korea

RU: Russia

US: United States

BES: Business enterprise sector

GOV: Government sector

HES: Higher education sector

PNP: Private non-profit sector

TOTAL: All sectors

PC_GDP: Percentage of gross domestic product (GDP)

name: Gross domestic expenditure on R&D by sector


description: The indicator measures the employment in high- and medium-high technology manufacturing sectors and in knowledge-intensive service sectors as a share of total employment. Data source is the European Labour force survey (LFS). The definition of high- and medium-high technology manufacturing sectors and of knowledge-intensive services is based on a selection of relevant items of NACE Rev. 2 on 2-digit level and is oriented on the ratio of highly qualified working in these areas.

dimensions_codes_order: FREQ unit nace_r2 geo

C_HTC_MH: High and medium high-technology manufacturing

KIS: Total knowledge-intensive services

TOT: Total (aggregate changing according to the context)

PC_EMP: Percentage of total employment

name: Employment in high- and medium-high technology manufacturing and knowledge-intensive services


description: The indicator measures human resources in science and technology (HRST) as a share of the active population in the age group 25-64. HRST encompasses people who have successfully completed tertiary education or who are employed in science and technology occupations where such education level is normally required. HRST are measured mainly using the concepts and definitions laid down in the Canberra Manual.

dimensions_codes_order: FREQ unit category age sex geo

category: Category

Y25-64: From 25 to 64 years

HRST: Persons with tertiary education (ISCED) and/or employed in science and technology

name: Human resources in science and technology


R&D personnel by sector

description: The indicator measures the share of R&D personnel broken down by the following institutional sectors: business enterprise (BES), government (GOV), higher education (HES), private non-profit (PNP). Data are presented in full-time equivalents as a share of the economically active population (the ‘labour force’).

dimensions_codes_order: FREQ sex prof_pos unit sectperf geo

PC_ACT_FTE: Percentage of population in the labour force - numerator in full-time equivalent (FTE)


dimensions_codes_order: FREQ coop_ptn unit geo

coop_ptn: Cooperation partners

APPL: Applicant

INVT: Inventor

NR: Number

P_MHAB: Per million inhabitants

name: Patent applications to the European Patent Office by applicants' / inventors' country of residence (source: EPO)


z: not applicable

description: The indicator measures the share of collective transport modes in total inland passenger transport performance, expressed in passenger-kilometres (pkm). Collective transport modes refer to buses, including coaches and trolley-buses, and trains. Total inland transport includes transport by passenger cars, buses and coaches, and trains. All data are based on movements within national territories, regardless of the nationality of the vehicle. The data collection methodology is voluntary and not fully harmonised at the EU level. Other collective transport modes, such as tram and metro systems, are also not included due to the lack of harmonised data. For countries, where rail transport statistical legislation does not apply, the totals contain only the share of coaches, buses and trolley buses.

dimensions_codes_order: FREQ unit vehicle geo

vehicle: Vehicles

BUS_TOT: Motor coaches, buses and trolley buses

TRN: Trains

TRN_BUS_TOT_AVD: Trains, motor coaches, buses and trolley buses - sum of available data

name: Share of buses and trains in inland passenger transport


n: not significant

description: The indicator measures the share of rail and inland waterways in total inland freight transport, expressed in tonne-kilometres (tkm). Inland transport includes transports by road, rail and inland waterways. All data are based on movements on national territory; rail and inland waterway transport data are collected based on movements on national territory, regardless of the nationality of the train or vessel; road data are redistributed to the national territory on the basis of reported data on the activity of the vehicles registered in each country and modelling the likely journey itinerary by projecting it on the European road network. Neither sea nor air freight transport are currently represented in the indicator. For countries, where inland waterways statistical legislation does not apply the totals contain only the share of rail transport.

dimensions_codes_order: freq unit tra_mode geo

tra_mode: Mode of transport

IWW: Inland waterways

RAIL: Railways

RAIL_IWW_AVD: Railways, inland waterways - sum of available data

name: Share of rail and inland waterways in inland freight transport


Air emission intensity from industry

description: This indicator measures the emissions intensity of fine particulate matter (PM2.5) from the manufacturing sector (NACE Rev. 2 sector ‘C’). Fine and coarse particulates (PM10) are less than 10 micrometres in diameter and can be carried deep into the lungs, where they can cause inflammation and exacerbate the condition of people suffering from heart and lung diseases. Fine particulates (PM2.5) are less than 2.5 micrometres in diameter and are therefore a subset of the PM10 particles. Their negative health impacts are more serious than PM10 because they can be drawn further into the lungs and may be more toxic. Emission intensity is calculated by dividing the sector’s PM emissions by its gross value added (GVA), which is defined as output (at basic prices) minus intermediate consumption (at purchaser prices).

dimensions_codes_order: FREQ nace_r2 na_item unit airpol geo

airpol: Air pollutants and greenhouse gases

PM10: Particulates < 10µm

PM2_5: Particulates < 2.5µm

B1G: Value added, gross

C: Manufacturing

G_EUR_CLV10: Grams per euro, chain linked volumes (2010)


description: Gross domestic product (GDP) is a measure for the economic activity. It refers to the value of the total output of goods and services produced by an economy, less intermediate consumption, plus net taxes on products and imports. GDP per capita is calculated as the ratio of GDP to the average population in a specific year. Basic figures are expressed in purchasing power standards (PPS), which represents a common currency that eliminates the differences in price levels between countries to allow meaningful volume comparisons of GDP. The values are also offered as an index calculated in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of GDP per head is higher than the EU average and vice versa. Please note that this index is intended for cross-country comparisons rather than for temporal comparisons. Finally, the disparities indicator offered for EU aggregates is calculated as the coefficient of variation of the national figures. This time series offers a measure of the convergence of economic activity between the EU Member States.

ppp_cat: Analytical categories for purchasing power parities (PPPs) calculation

CV_VI_HAB: Coefficient of variation of volume indices of expenditure per capita (percentage)

EXP_PPS_EU27_2020_HAB: Real expenditure per capita (in PPS_EU27_2020)

VI_PPS_EU27_2020_HAB: Volume indices of real expenditure per capita (in PPS_EU27_2020=100)

GDP: Gross domestic product

name: Purchasing power adjusted GDP per capita


description: The indicator reflects the purchasing power of households and their ability to invest in goods and services or save for the future, by accounting for taxes and social contributions and monetary in-kind social benefits. It is calculated as the adjusted gross disposable income of households and Non-Profit Institutions Serving Households (NPISH) divided by the purchasing power parities (PPP) of the actual individual consumption of households and by the total resident population. The values are also offered as an index calculated in relation to the European Union average set to equal 100. If the index of a country is higher than 100, this country's level of adjusted gross disposable income of households per person is higher than the EU average and vice versa. Please note that this index is intended for cross-country comparisons rather than for temporal comparisons. Finally, the disparities indicator offered for EU27 (from 2020) is calculated as the coefficient of variation of the national figures. This time series offers a measure of the convergence of household income between the Member States of the EU.

dimensions_codes_order: freq unit geo

PPS_HAB_EU27_2020: Purchasing power standard (PPS, EU27 from 2020), per inhabitant in percentage of the EU27 (from 2020) average

name: Adjusted gross disposable income of households per capita


Relative median at-risk-of-poverty gap

description: The indicator is calculated as the distance between the median equivalised total net income of persons below the at-risk-of-poverty threshold and the at-risk-of-poverty threshold itself, expressed as a percentage of the at-risk-of-poverty threshold. This threshold is set at 60 % of the national median equivalised disposable income of all people in a country and not for the EU as a whole. The EU aggregate is a population weighted average of individual national figures. In line with decisions of the European Council, the risk-of-poverty rate is measured relative to the situation in each country rather than applying a common threshold to all countries.

dimensions_codes_order: freq indic_il sex unit age geo

indic_il: Income and living conditions indicator

LI_GAP_MD60: Relative poverty gap (cut-off point: 60% of median equivalised income)


Income distribution

description: The indicator is a measure of the inequality of income distribution. It is calculated as the ratio of total income received by the 20 % of the population with the highest income (the top quintile) to that received by the 20 % of the population with the lowest income (the bottom quintile).

dimensions_codes_order: freq age sex unit geo

RAT: Ratio


description: The indicator measures the income share received by the bottom 40 % of the population. The income concept used is the total disposable household income.

dimensions_codes_order: freq geo

name: Income share of the bottom 40 % of the population


description: The indicator shows the number of first-time asylum applicants per million inhabitants and the number of positive first instance decisions per million inhabitants. Please note that caution is required when comparing these two values, since applications received in a given year might not be processed until a later year. Source data are supplied to Eurostat by the national Ministries of Interior and related official agencies. A first-time applicant for international protection is a person who lodged an application for asylum for the first time in a given Member State. First instance decisions are decisions granted by the respective authority acting as a first instance of the administrative/judicial asylum procedure in the receiving country.

dimensions_codes_order: freq asyl_app geo

asyl_app: Applicant type

ASY_APP_ACC: Positive first instance decision

NASY_APP: First time applicant

name: Asylum applications by state of procedure


Overcrowding rate by poverty status

description: The indicator measures the share of people living in overcrowded conditions in the EU. A person is considered to be living in an overcrowded household if the house does not have at least one room for the entire household as well as a room for a couple, for each single person above 18, for a pair of teenagers (12 to 17 years of age) of the same sex, for each teenager of different sex and for a pair of children (under 12 years of age).

dimensions_codes_order: FREQ sex age unit incgrp geo


description:
Severe housing deprivation rate is defined as the percentage of population living in the dwelling which is considered as overcrowded, while also exhibiting at least one of the housing deprivation measures.

Housing deprivation is a measure of poor amenities and is calculated by referring to those households with a leaking roof, no bath/shower and no indoor toilet, or a dwelling considered too dark.

dimensions_codes_order: freq age incgrp sex unit geo

name: Severe housing deprivation rate by poverty status


description: The indicator measures the proportion of the population who declare that they are affected either by noise from neighbours or from the street. Because the assessment of noise pollution is subjective, it should be noted that the indicator accounts for both the levels of noise pollution as well as people’s standards of what level they consider to be acceptable. Therefore, an increase in the value of the indicator may not necessarily indicate a similar increase in noise pollution levels but also a decrease of the levels that European citizens are willing to tolerate and vice versa. In fact, there is empirical evidence that perceived environmental quality by individuals is not always consistent with the actual environmental quality assessed using ‘objective’ indicators, particularly for noise.

dimensions_codes_order: freq hhtyp incgrp unit geo

name: Population living in households considering that they suffer from noise, by poverty status


Settlement area per capita

description: This indicator captures the amount of settlement area used for buildings, industrial and commercial areas, infrastructure and sports grounds etc. and includes both sealed and non-sealed surfaces.

dimensions_codes_order: FREQ unit geo

M2_HAB: Square metres per capita


Road traffic deaths, by type of roads

description: The indicator measures the number of fatalities caused by road accidents, including drivers and passengers of motorised vehicles and pedal cycles as well as pedestrians. Persons dying on road accidents up to 30 days after the occurrence of the accident are counted as road accident fatalities. After these 30 days, the reason for dying might be declared differently. For Member States not using this definition, corrective factors are applied. The average population of the reference year (calculated as the arithmetic mean of the population on 1st January of two consecutive years) is used as denominator (per 100 000 persons).

dimensions_codes_order: freq tra_infr unit geo

tra_infr: Transport infrastructure

MWAY: Motorways

RD_RUR: Rural roads

RD_URB: Urban roads

UNK: Unknown

RT: Rate


description: The indicator measures the population weighted annual mean concentration of particulate matter at urban background stations in agglomerations. Fine and coarse particulates (PM10), i.e. particulates whose diameters are less than 10 micrometers, can be carried deep into the lungs where they can cause inflammation and exacerbate the condition of people suffering heart and lung diseases. Fine particulates (PM2.5) are those whose diameters are less than 2.5 micrometers. They are therefore a subset of the PM10 particles. Their deleterious health impacts are more serious than PM10 as they can be drawn further into the lungs and may be more toxic.

dimensions_codes_order: FREQ airpol geo

name: Exposure to air pollution by particulate matter (source: EEA)


description: The indicator measures the years of life lost (YLL) due to exposure to particulate matter (PM2.5). PM2.5 are particulates whose diameter is less than 2.5 micrometres and which can be carried deep into the lungs where they can cause inflammation and exacerbate the condition of people suffering heart and lung diseases. YLL is defined as the years of potential life lost as a result of premature death. It is an estimate of the average number of years that a person would have lived if they had not died prematurely.

dimensions_codes_order: FREQ airpol indic_he unit geo

indic_he: Health indicator

YLL: Years of life lost

name: Years of life lost due to PM2.5 exposure (source: EEA)


description:
This indicator estimates the number of premature deaths attributable to long-term exposure to PM2.5.

PM2.5 are particulates whose diameter is less than 2.5 micrometres and which can be carried deep into the lungs where they can cause inflammation and exacerbate the condition of people suffering heart and lung diseases.

PMD: Premature death

name: Premature deaths due to exposure to fine particulate matter (PM2.5) (source: EEA)


Recycling rate of municipal waste

description: The indicator measures the tonnage recycled from municipal waste divided by the total municipal waste arising. Recycling includes material recycling, composting and anaerobic digestion; and preparing for reuse. Municipal waste consists mostly of waste generated by households, but may also include similar wastes generated by small businesses and public institutions and collected by the municipality. This latter part of municipal waste may vary from municipality to municipality and from country to country, depending on the local waste management system. For areas not covered by a municipal waste collection scheme the amount of waste generated is estimated. The Member States report each year the amount recycled and the total municipal waste generated to Eurostat. Data collection, validation and dissemination are performed by the EDC Waste hosted at Eurostat.


description: This indicator measures the volume of aggregated consumption of toxic chemicals, expressed in million tonnes. The consumption of chemicals is calculated as the sum of the production volumes (PRODCOM) and the net import volumes of the chemicals (COMEXT) according to the equation: Consumption = production + imports – exports. The data on hazardous and non-hazardous chemicals show the total consumption of all chemicals. The two sub-categories of hazardous chemicals – hazardous to human health and hazardous to the environment – overlap by definition and as a result their sum is not equal to the total consumption of hazardous chemicals.

dimensions_codes_order: FREQ indic_env unit geo hazard

hazard: Hazard class

indic_env: Environment indicator

ENV: Hazardous to the environment

HAZ: Hazardous

HAZ_NHAZ: Hazardous and non-hazardous - Total

HLTH: Hazardous to health

CONS: Consumption of chemicals

MIO_T: Million tonnes

name: Consumption of chemicals by hazardousness - EU aggregate


description: The indicator presents the gross domestic product (GDP) divided by domestic material consumption (DMC). DMC measures the total amount of materials directly used by an economy. It is defined as the annual quantity of raw materials extracted from the domestic territory of the focal economy, plus all physical imports minus all physical exports. It is important to note that the term 'consumption', as used in DMC, denotes apparent consumption and not final consumption. DMC does not include upstream flows related to imports and exports of raw materials and products originating outside of the focal economy. As nominator for the calculation of resource productivity, Eurostat uses GDP in unit 'EUR in chain-linked volumes' (to the reference year 2015 at 2015 exchange rates) and in unit 'PPS' (Purchasing Power Standard). Consequently, the indicator is expressed: i) in euro (chain linked volumes) per kg, for comparing the changes in one country over time; ii) in PPS per kg, for comparing different countries in one specific year. Based on GDP in chain linked volumes, resource efficiency is also calculated as an index on year 2000, for comparing countries in different years.

EUR_KG_CLV15: Euro per kilogram, chain linked volumes (2015)

PPS_KG: Purchasing power standard (PPS) per kilogram

THS_T: Thousand tonnes

name: Resource productivity and domestic material consumption (DMC)


Raw material consumption (RMC)

description: The material footprint, also referred to as raw material consumption (RMC), represents the global demand for the extraction of materials (minerals, metal ore, biomass, fossil energy materials) induced by consumption of goods and services within a geographical reference area. Data for material footprints stem from material flow accounts, which model the flows of natural resources from the environment into the economy. They include domestic extraction of materials measured in tonnes of gross material (for example, gross ore or gross harvest) as well as imports and exports measured by estimates of the raw material equivalents of the products traded (domestic and abroad extraction required to produce the traded products). RMC thus shows the amount of extraction needed to produce the goods demanded by final users in the geographical reference area, irrespective of where in the world the material extraction took place.

dimensions_codes_order: freq indic_env material unit geo

material: Materials

RMC: Raw material consumption

T_HAB: Tonnes per capita


name: Average CO2 emissions per km from new passenger cars (source: EEA, DG CLIMA)


Circular material use rate

description: The circular material use rate (CMR) measures the share of material recovered and fed back into the economy in overall material use. The CMU is defined as the ratio of the circular use of material to the overall material use. The overall material use is measured by summing up the aggregate domestic material consumption (DMC) and the circular use of materials. DMC is defined in economy-wide material flow accounts. The circular use of materials is approximated by the amount of waste recycled in domestic recovery plants minus imported waste destined for recovery plus exported waste destined for recovery abroad. A higher CMU rate value means that more secondary materials substitute for primary raw materials thus reducing the environmental impacts of extracting primary material.


description: The indicator measures all waste generated in a country. Due to the strong fluctuations in waste generation in the mining and construction sectors and their limited data quality and comparability, major mineral wastes, dredging spoils and soils are excluded. This exclusion enhances comparability across countries as mineral waste accounts for high quantities in some countries with important economic activities such as mining and construction.

dimensions_codes_order: FREQ waste nace_r2 unit hazard geo

waste: Waste categories

NHAZ: Non-hazardous

TOTAL_HH: All NACE activities plus households

KG_HAB: Kilograms per capita

TOT_X_MIN: Waste excluding major mineral wastes

name: Generation of waste excluding major mineral wastes by hazardousness


c: confidential

description: The indicator measures the share of a country’s, or the EU’s, own waste, which is recycled. Due to the strong fluctuations in waste generation in the mining and construction sectors and their limited data quality and comparability, major mineral wastes, dredging spoils and soils are excluded. This exclusion enhances comparability across countries as mineral waste accounts for high quantities in some countries and economic activities such as mining and construction. The data reflect the treatment of national waste and exclude waste that is imported from other EU countries; on EU total level the waste imports from non-EU countries are excluded. In the source dataset, the information on waste treatment is broken down into six treatment types: recovery (recycling, energy recovery, backfilling) and disposal (incineration, landfill, other disposal. The indicator presents only data on the treatment type of recovery - recycling.

dimensions_codes_order: FREQ unit wst_oper geo

wst_oper: Waste management operations

RCV_R: Recovery - recycling

name: Recycling rate of waste excluding major mineral wastes


description: The environmental goods and services sector (EGSS) is defined as that part of a country’s economy that is engaged in producing goods and services that are used in environmental protection and resource management activities either domestically or abroad. Gross value added in EGSS represents the contribution of the environmental goods and services sector to GDP and is defined as the difference between the value of the sector’s output and intermediate consumption.

dimensions_codes_order: freq nace_r2 ceparema na_item ty unit geo

ceparema: Classifications of environmental activities: environmental protection activities (CEPA) and resource management activities (CReMA)

ty: Type of expenditure

TOTAL: Total environmental protection and resource management activities

TOT_EGSS: Total environmental goods and services sector

MEUR_CLV10: Million euro, chain-linked volumes, reference year 2010 (at 2010 exchange rates)

name: Gross value added in environmental goods and services sector


Net greenhouse gas emissions

description: The indicator measures total national emissions (from both ESD and ETS sectors) including international aviation of the so called ‘Kyoto basket’ of greenhouse gases, including carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), and the so-called F-gases (hydrofluorocarbons, perfluorocarbons, nitrogen triflouride (NF3) and sulphur hexafluoride (SF6)) from all sectors of the GHG emission inventories (including international aviation and indirect CO2). The indicator is presented in two forms: as net emissions including land use, land use change and forestry (LULUCF) as well as excluding LULUCF. Using each gas’ individual global warming potential (GWP), they are being integrated into a single indicator expressed in units of CO2 equivalents. The GHG emission inventories are submitted annually by the EU Member States to the United Nations Framework Convention on Climate Change (UNFCCC).

dimensions_codes_order: freq airpol src_crf unit geo

src_crf: Source sectors for greenhouse gas emissions (Common reporting format, UNFCCC)

GHG: Greenhouse gases (CO2, N2O in CO2 equivalent, CH4 in CO2 equivalent, HFC in CO2 equivalent, PFC in CO2 equivalent, SF6 in CO2 equivalent, NF3 in CO2 equivalent)

TOTX4_MEMONIA: Total (excluding LULUCF and memo items, including international aviation)

TOTXMEMONIA: Total (excluding memo items, including international aviation)


description: The indicator is calculated as the ratio between energy-related GHG emissions and gross inland consumption of energy. It expresses how many tonnes CO2 equivalents of energy-related GHGs are being emitted in a certain economy per unit of energy that is being consumed. The data on energy emissions are being sourced from the GHG emissions reported to the UNFCCC.

name: Greenhouse gas emissions intensity of energy consumption (source: EEA and Eurostat)


description: This indicator measures net carbon removals from the land use, land use change and forestry (LULUCF) sector, considering both emissions and removals from the sector. The indicator is expressed as CO2 equivalents using the global warming potential (GWP) of each gas. Emissions and removals data, known as GHG inventories, are submitted annually by Member States to the EU and the United Nations Framework Convention on Climate Change (UNFCCC).

CRF4: Land use, land use change, and forestry (LULUCF)

T_KM2: Tonnes per square kilometre

name: Net greenhouse gas emissions of the Land use, Land use change and Forestry (LULUCF) sector


description: The indicator measures the development of average global and European near-surface temperature deviations compared to the 1850-1899 average. Monitoring of the data is carried out using standardised measurements, quality control and homogeneity procedures to ensure compatibility and comparability of recorded data. The timeseries are annually updated with new historical in-situ data being regularly digitalised and recovered, resulting in small differences between different updates of the indicator. Data for this indicator are povided by the European Environment Agency, based on Met Office Hadley Centre and Climatic Research Unit (HadCRUT4), NASA Goddard Institute for Space Studies (GISTEMP) and National Centers for Environmental Information (NOAA Global Temp).

dimensions_codes_order: FREQ unit indic_env source

source: Data source

TD_EUR_A: Annual European temperature deviation

TD_EUR_DEC: Decadal European temperature deviation

TD_GLB_A: Annual global temperature deviation

TD_GLB_DEC: Decadal global temperature deviation

GISTEMP: GISTEMP (by NASA Goddard Institute for Space Studies)

HADCRUT4: HadCRUT4 (by Met Office Hadley Centre and Climatic Research Unit)

NOAAGLOBALTEMP: NOAAGlobalTemp (by National Oceanic and Atmospheric Administration)

DEGC: Degree Celsius

name: Mean near-surface temperature deviation (source: EEA)


description: The indicator measures the economic losses from weather and climate-related events. In addition to the annual figures, a smoothed time-series based on 30-year averages is presented. In line with the climate normal period as defined by World Meteorological Organisation, these 30 years average figures reflect trends excluding the substantial climate variability on shorter time scales due to natural factors. The indicator is based on data from CATDAT of RiskLayer.

dimensions_codes_order: FREQ stk_flow statinfo unit geo

statinfo: Statistical information

stk_flow: Stock or flow

AVG_30Y: Thirty-year average

VAL_A: Annual value

LOSS: Losses

EUR_HAB: Euro per inhabitant

MIO_EUR: Million euro

name: Climate related economic losses (source: EEA)


dimensions_codes_order: freq unit geo

COMM: European Commission

EIB: European Investment Bank (EIB)

name: Contribution to the international 100bn USD commitment on climate related expending (source: DG CLIMA, EIONET)


description: The indicator measures the share of EU population covered by the new Covenant of Mayors per Member State, as the ratio between the population of the cities that have signed in a country and the total population of that country. Signatories to the Covenant of Mayors with an “On-hold/suspended” status are excluded.

MIO_PER: Million persons

name: Population covered by the Covenant of Mayors for Climate & Energy signatories


Surface of the marine protected areas

description: The indicator measures the surface of marine protected areas (MPAs) in EU marine waters. The indicator comprises nationally designated protected areas and Natura 2000 sites. A nationally designated area is an area protected by national legislation. The Natura 2000 network comprises both marine and terrestrial protected areas designated under the EU Habitats and Birds Directives with the goal to maintain or restore a favourable conservation status for habitat types and species of EU interest.

dimensions_codes_order: freq areaprot unit geo

areaprot: Protected or protective area

MPA: Marine protected area

KM2: Square kilometre


dimensions_codes_order: FREQ indic_env fishreg

fishreg: Fishing regions

Atlantic, Northeast

EU total marine areas

Mediterranean and Black Sea

FSTK_BMA_I03: Fish stock biomass - index 2003 = 100

name: Estimated trends in fish stock biomass, by fishing areas (source: JRC-STECF)


FSTK_MBMED: Fish stocks - model based median value

name: Estimated trends in fishing pressure, by fishing area (source: JRC-STECF)


dimensions_codes_order: freq aquaenv geo

aquaenv: Aquatic environment

CST_EXC_NR: Coastal water excellent - number

CST_EXC_PC: Coastal water excellent - %

CST_NR: Coastal water - number

INL_EXC_NR: Inland water excellent - number

INL_EXC_PC: Inland water excellent - %

INL_NR: Inland water - number

name: Bathing sites with excellent water quality by locality (source: EEA)


description: The indicator shows the global ocean surface acidity expressed as mean pH value. The decline in pH observed on a global scale corresponds to an increase in the acidity of ocean water and vice versa. An increase of atmospheric CO2 enhances the absorption of CO2 by oceans, which correlates directly with a fall in pH values of the oceans. The Copernicus Marine Environment Monitoring Service (CMEMS) provides annual data on mean ocean surface acidity using in situ data and remote sensing data, as well as empirical relationships.

PH_GLB: Global pH value

name: Global mean surface seawater acidity (source: CMEMS)


description: The indicator shows the share of eutrophic marine waters in the Exclusive Economic Zone (EEZ). An area is classified as eutrophic if for more than 25 % of the observation days of a given year the chlorophyll concentrations as a proxy for eutrophication are above the 90th percentile of the 1998–2017 reference base line. Eutrophication is the process by which an excess of nutrients – mainly phosphorus and nitrogen – leads to increased growth of plant material, particularly algal blooms, in an aquatic body resulting in a decrease in water quality. This can, in turn, cause death by hypoxia of aquatic organisms. Anthropogenic activities, such as farming, agriculture, aquaculture, industry and sewage, are the main source of nutrient input in problem areas. The Marine Strategy Framework Directive (MSFD) requires Member States to report on eutrophication for their regional seas every 6 years. The Copernicus Marine Service has calculated the indicator from satellite imagery.

dimensions_codes_order: FREQ indic_env unit geo

MA_ETR: Marine area affected by eutrophication

name: Marine waters affected by eutrophication (Source: CMEMS)


Share of forest area

description: The indicator measures the proportion of forest ecosystems in comparison to the total area. Data used for this indicator is derived from the Land Use and Cover Area frame Survey (LUCAS). The LUCAS land use and land cover classification has been adapted to FAO forest definitions, distinguishing between the categories 'forests' and 'other wooded land'. LUCAS surveys are carried out in-situ, this means that observations are made and registered on the ground by field surveyors. A mixed panel approach is used, so some points are visited in subsequent years. In the field, the surveyor classifies the land cover and the visible land use according to the harmonized LUCAS Survey land cover and land use classifications.

dimensions_codes_order: FREQ unit landcover geo

landcover: Land cover

LCC1: Forest FAO

LCC1_2: Forest and other wooded land FAO

LCC2: Other wooded land FAO


description: The indicator measures the surface of terrestrial protected areas. The indicator comprises nationally designated protected areas and Natura 2000 sites. A nationally designated area is an area protected by national legislation. The Natura 2000 network comprises both marine and terrestrial protected areas designated under the EU Habitats and Birds Directives with the goal to maintain or restore a favourable conservation status for habitat types and species of EU interest.

TPA: Terrestrial protected area

name: Surface of the terrestrial protected areas


Soil sealing index (source: EEA)

description: The indicator estimates the increase in sealed soil surfaces with impervious materials due to urban development and construction (e.g. buildings, constructions and laying of completely or partially impermeable artificial material, such as asphalt, metal, glass, plastic or concrete). This provides an indication of the rate of soil sealing, when areas change land use towards artificial and urban land use. The indicator builds on data from the imperviousness High Resolution Layer (a product of the Copernicus Land Monitoring Service). Imperviousness is mapped at 20m resolution and with a minimum mapping unit of 20m. The indicator is presented in the following units: Index 2006=100 % of total surface total sealed surface in km2

dimensions_codes_order: FREQ unit geo


description: This indicator estimates the amount of soil lost by water erosion, such as from rain splash, sheet-wash and rills. This provides an indication of the area affected by a certain rate of soil erosion (severe soil loss, E > 10 tonnes/hectare/year). This area is expressed in km2 and as a percentage of the total non-artificial erosive area in the country. Where there is no area of land that is in risk of being subject to soil erosion by water of more than 10 tonnes per hectare, a country will have a zero value. Soil erosion may still be occurring in areas of those countries, but at a rate of less than 10 tonnes per hectare. These numbers are estimated from soil-erosion susceptibility models and should not be taken as measured values. Where there is no area of land that shows a risk of soil erosion by water of more than 10 tonnes per hectare, a country will have a zero value. Risk of soil erosion may still be present in areas of those countries, but at a rate of less than 10 tonnes per hectare.

dimensions_codes_order: freq levels clc18 unit geo

clc18: Nomenclature of land cover and land use (Corine Land Cover 2018)

levels: Level

CLC2_3X331_332_335: Agricultural areas, forest and semi natural areas (excluding beaches, dunes, sand plains, bare rock and glaciers and perpetual snow)

SEV: Severe

name: Estimated soil erosion by water - area affected by severe erosion rate (source: JRC)


description: The indicator is an index and integrates the abundance and the diversity of a selection of common bird species associated with specific habitats. Rare species are excluded. Three groups of bird species are represented: common farmland species (39 species), common forest species (34 species) and all common bird species (167 species; including farmland and forest species). The indices are presented for EU-aggregates only and with smoothed values. The index draws from data produced by the European Bird Census Council and its Pan-European Common Bird Monitoring Scheme programme. Data coverage has increased from 9 to 22 EU Member States over the period 1990 to 2010, with 25 countries covered as of the reference year 2011. These numbers of participating countries include the UK. UK data have been removed from the aggregate EU27_2020 aggregate.

dimensions_codes_order: freq statinfo geo comspec unit

comspec: Bird species

CO_ALL: All common species

CO_FARM: Common farmland species

CO_FOR: Common forest species

SME: Smoothed estimate

name: Common bird index by type of species - EU aggregate (source: EBCC)


description: The indicator measures the population trends of 17 butterfly species at EU-level.The index is presented as EU-aggregate only and with smoothed values. The indicator is based on data from 17 EU Member States (Austria, Belgium, Czechia, Estonia, Finland, France, Germany, Hungary, Ireland, Latvia, Lithuania, Luxembourg, the Netherlands, Romania, Slovenia, Spain, Sweden) however with a limited number of long time-series available ( ). The data are integrated and provided by the European Environment Agency, the European Butterfly Monitoring Scheme partnership and the Assessing Butterflies in Europe (ABLE) project.

dimensions_codes_order: FREQ statinfo geo unit

name: Grassland butterfly index - EU aggregate (source: EEA, BCE)


description: The indicator measures the standardised death rate of homicide and injuries inflicted by another person with the intent to injure or kill by any means, including ‘late effects’ from assault (International Classification of Diseases (ICD) codes X85 to Y09 and Y87.1). It does not include deaths due to legal interventions or war (ICD codes Y35 and Y36). The rate is calculated by dividing the number of people dying due to homicide or assault by the total population. Data on causes of death (COD) refer to the underlying cause which - according to the World Health Organisation (WHO) - is "the disease or injury which initiated the train of morbid events leading directly to death, or the circumstances of the accident or violence which produced the fatal injury". COD data are derived from death certificates. The medical certification of death is an obligation in all Member States. The data are presented as standardised death rates, meaning they are adjusted to a standard age distribution in order to measure death rates independently of different age structures of populations. This approach improves comparability over time and between countries. The standardised death rates used here are calculated on the basis of the standard European population referring to the residents of the countries.

dimensions_codes_order: freq unit icd10 age sex geo

icd10: International Statistical Classification of Diseases and Related Health Problems (ICD-10 2010)

X85-Y09_Y871: Assault

name: Standardised death rate due to homicide by sex


description: The indicator shows the share of the population who reported that they face the problem of crime, violence or vandalism in their local area. This describes the situation where the respondent feels crime, violence or vandalism in the area to be a problem for the household, although this perception is not necessarily based on personal experience.

dimensions_codes_order: freq hhtyp incgrp unit geo

name: Population reporting occurrence of crime, violence or vandalism in their area by poverty status


description: The indicator measures the general government total expenditure on law courts according to the classification of the functions of government (COFOG). This includes expenditure on administration, operation or support of civil and criminal law courts and the judicial system, including enforcement of fines and legal settlements imposed by the courts and operation of parole and probation systems; legal representation and advice on behalf of government or on behalf of others provided by government in cash or in services. Law courts include administrative tribunals, ombudsmen and the like, and exclude prison administrations. In computing the per capita indicator, the average National Accounts (NA) population data of the reference year is used as denominator (calculated as the arithmetic mean of the population on 1st January of two consecutive years).

name: General government total expenditure on law courts


dimensions_codes_order: freq lev_perc unit geo

lev_perc: Level of perception

FBAD: Fairly bad

FGOOD: Fairly good

VBAD: Very bad

VB_FB: Very bad or fairly bad

VGOOD: Very good

VG_FG: Very good or fairly good

name: Perceived independence of the justice system (source: DG COMM)


description: The indicator measures confidence among EU citizens in a selection of EU institutions: the European Parliament, the European Commission, and the European Central Bank. It is expressed as the share of positive opinions (people who declare that they tend to trust) about the institutions. Citizens are asked to express their confidence levels by choosing the following alternatives: ‘tend to trust’, ‘tend not to trust’ and ‘don’t know’ or ‘no answer’. The indicator is based on the Eurobarometer, a survey which has been conducted twice a year since 1973 to monitor the evolution of public opinion in the Member States. The indicator only displays the results of the autumn survey.

dimensions_codes_order: FREQ unit partner geo

partner: Geopolitical entity (partner)

ECB: European Central Bank (ECB)

PARL: European Parliament

name: Population with confidence in EU institutions by institution (source: DG COMM)


description: Official development assistance (ODA) consists of grants or loans that are undertaken by the official sector with the objective of promoting economic development and welfare in recipient countries. Disbursements record the actual international transfer of financial resources, or of goods or services valued at the cost of the donor. ODA is here presented as a share of Gross National Income (GNI). GNI at market prices equals Gross Domestic Product (GDP) minus primary income payable by resident units to non-resident units, plus primary income receivable by resident units from the rest of the world. The list of countries and territories eligible to receive ODA is determined by the OECD’s Development Assistance Committee. Since reference year 2016, the EU27 (from 2020) aggregate refers to the ODA provided by the EU and its Member States 'EU collective ODA'.

DAC: Development assistance committee (DAC)

LDC: Least developed countries

name: Official development assistance as share of gross national income (source: DG INTPA, OECD)


description: The indicator shows the total official and private EU financing to developing countries. These consist of net disbursements of Official Development Assistance (ODA), other official flows (OOFs), private flows (mainly foreign direct investment, FDI), grants by private agencies and NGOs and officially supported export credits. ODA consists of grants or concessional loans undertaken by the official sector with promotion of economic development and welfare in the recipient countries as the main objective. OOFs are transactions which do not meet the conditions for eligibility as ODA, either because they are not primarily aimed at development, or because they have a grant element of less than 25 %. Private flows include direct investment, bonds, export credits and multilateral private flows. Grants by private agencies and national NGOs consists of funds for development assistance and relief, together with any additional contributions in kind, including, for instance proceeds from charity Christmas card sales or special appeals (for example, for disaster relief). Developing countries are considered to be those on the OECD DAC (Development Assistance Committee) list of aid recipients. The values are given in current prices.

dimensions_codes_order: FREQ fin_source geo

fin_source: Financial source

EXPCRED_OSUP: Officially supported export credits

FLOW_PRV: Private flows

GRNT_NGO: Grants by non-governmental organisations

ODA: Official development assistance

OFLOW_OTH: Other official flows

name: EU financing to developing countries by financing source (source: OECD)


description: The indicator is defined as the value (at current prices) of EU imports from developing countries. In this context, developing countries are defined as the countries on the OECD Development Assistance Committee (DAC) list of official development assistance beneficiaries. The indicator is presented broken down by income groups of partner countries, as distinguished by the DAC list. Please note that these groups are not static over time, as countries can change groups.

dimensions_codes_order: FREQ sitc06 unit partner geo

sitc06: Standard International Trade Classification (SITC Rev. 4, 2006)

CN_X_HK: China except Hong Kong

LMIC: Lower middle income countries

OLIC: Other low income countries

UMIC_X_CN: Upper middle income countries except China

TOTAL: Total - all products

name: EU imports from developing countries by country income groups


General government gross debt

description: The Treaty on the Functioning of the European Union defines this indicator as the ratio of government debt outstanding at the end of the year to gross domestic product at current market prices. For this calculation, government debt is defined as the total consolidated gross debt at nominal value in the following categories of government liabilities (as defined in ESA 2010): currency and deposits (AF.2), debt securities (AF.3) and loans (AF.4). The general government sector comprises the subsectors of central government, state government, local government and social security funds. For further methodological guidance and interpretation, please refer to the Eurostat Manual on Government Deficit and Debt. Total government gross debt in million EUR is shown as well.

dimensions_codes_order: freq unit sector na_item geo

sector: Sector

GD: Government consolidated gross debt

S13: General government


description: The indicator measures the share of environmental taxes in total revenues from taxes and social contributions. Environmental taxes are defined as taxes whose tax base is a physical unit (or proxy of it) of something that has a proven, specific negative impact on the environment. Environmental tax revenues stem from four types of taxes: energy taxes (which contribute around three-quarters of the total), transport taxes (about one fifth of the total) and pollution and resource taxes (about 4 % of the total).

dimensions_codes_order: FREQ geo

name: Share of environmental taxes in total tax revenues


description: The indicator measures the share of households with fixed very high capacity network (VHCN) connection. Very high capacity network means either an electronic communications network that consists entirely of optical fibre elements at least up to the distribution point at the serving location, or an electronic communications network capable of delivering, under usual peak-time conditions, similar network performance in terms of available downlink and uplink bandwidth, resilience, error-related parameters, and latency and its variation.

dimensions_codes_order: FREQ unit terrtypo geo

terrtypo: Territorial typology

LSA: Low settled areas

PC_HH: Percentage of households

name: High-speed internet coverage, by type of area (source: DG CNECT and Eurostat)


dimensions_codes_order: FREQ spscheme spdep spfunc geo

spdep: ESSPROS-expenditure

spfunc: ESSPROS-function

spscheme: ESSPROS-category of schemes

EA12: Euro area - 12 countries (2001-2006)

EA18: Euro area - 18 countries (2014)

EU15: European Union - 15 countries (1995-2004)

SNONTARGETNOREROUTE: Non means-tested benefits

SNTCASH: Cash benefits (non means-tested)

SNTCLUMP: Lump sum cash benefits (non means-tested)

SNTCPERIOD: Periodic cash benefits (non means-tested)

SNTKIND: Benefits in kind (non means-tested)

SPBENEFNOREROUTE: Social protection benefits

STACASH: Cash benefits (means-tested)

STACLUMP: Lump sum cash benefits (means-tested)

STACPERIOD: Periodic cash benefits (means-tested)

STAKIND: Benefits in kind (means-tested)

STARGETNOREROUTE: Means-tested benefits

STTCASH: Cash benefits

STTCLUMP: Lump sum cash benefits

STTCPERIOD: Periodic cash benefits

STTKIND: Benefits in kind

DISA: Disability

EXCLU: Social exclusion n.e.c.

FAM: Family/Children

HOUSE: Housing

OLD: Old age

SICK: Sickness/Health care

SURVIV: Survivors

TOTAL: All functions

UNEMPLOY: Unemployment

TOTAL: All schemes

name: Tables by functions, aggregated benefits and grouped schemes - million EUR


dimensions_codes_order: FREQ spscheme spdep unit geo

SNTCLCARE: Lump sum care allowance (non means-tested)

SNTCLECOHAND: Lump sum economic integration of the handicapped (non means-tested)

SNTCL_OTH: Other lump sum cash benefits (non means-tested)

SNTCPCARE: Periodic care allowance (non means-tested)

SNTCPDISPEN: Disability pension (non means-tested)

SNTCPEARLYRED: Early retirement benefit due to reduced capacity to work (non means-tested)

SNTCPECOHAND: Periodic economic integration of the handicapped (non means-tested)

SNTCP_OTH: Other periodic cash benefits (non means-tested)

SNTKACCOMOD: Accommodation (non means-tested)

SNTKASSIST: Assistance in carrying daily tasks (non means-tested)

SNTKREHAB: Rehabilitation (non means-tested)

SNTK_OTH: Other benefits in kind (non means-tested)

STACLCARE: Lump sum care allowance (means-tested)

STACLECOHAND: Lump sum economic integration of the handicapped (means-tested)

STACL_OTH: Other lump sum cash benefits (means-tested)

STACPCARE: Periodic care allowance (means-tested)

STACPDISPEN: Disability pension (means-tested)

STACPEARLYRED: Early retirement benefit due to reduced capacity to work (means-tested)

STACPECOHAND: Periodic economic integration of the handicapped (means-tested)

STACP_OTH: Other periodic cash benefits (means-tested)

STAKACCOMOD: Accommodation (means-tested)

STAKASSIST: Assistance in carrying daily tasks (means-tested)

STAKREHAB: Rehabilitation (means-tested)

STAK_OTH: Other benefits in kind (means-tested)

STTCLCARE: Lump sum care allowance

STTCL_OTH: Other lump sum cash benefits

STTCPCARE: Periodic care allowance

STTCPDISPEN: Disability pension

STTCP_OTH: Other periodic cash benefits

STTKACCOMOD: Accomodation

STTKASSIST: Assistance in carrying daily tasks

STTKREHAB: Rehabilitation

STTK_OTH: Other benefits in kind

EUR_HAB_KP10: Euro per inhabitant (at constant 2010 prices)

MIO_NAC: Million units of national currency

MIO_PPS: Million purchasing power standards (PPS)

PPS_HAB: Purchasing power standard (PPS) per inhabitant

name: Tables by benefits - disability function


SNTCPINCSUP: Income support (non means-tested)

SNTKDRUGS: Rehabilitation of alcohol and drugs abusers (non means-tested)

STACPINCSUP: Income support (means-tested)

STAKDRUGS: Rehabilitation of alcohol and drugs abusers (means-tested)

STTCPINCSUP: Income support

name: Tables by benefits - social exclusion n.e.c. function


SNTCLBIRTH: Birth grant (non means-tested)

SNTCLPARENT: Parental leave benefits lump sum (non means-tested)

SNTCPALLOW: Family or child allowance (non means-tested)

SNTCPCHILD: Income maintenance benefit in the event of childbirth (non means-tested)

SNTCPPARENT: Parental leave benefit periodic (non means-tested)

SNTKCHILD: Child day care (non means-tested)

SNTKHOME: Home help (non means-tested)

STACLBIRTH: Birth grant (means-tested)

STACLPARENT: Parental leave benefits lump sum (means-tested)

STACPALLOW: Family or child allowance (means-tested)

STACPCHILD: Income maintenance benefit in the event of childbirth (means-tested)

STACPPARENT: Parental leave benefit periodic (means-tested)

STAKCHILD: Child day care (means-tested)

STAKHOME: Home help (means-tested)

STTCLBIRTH: Birth grant

STTCLPARENT: Parental leave benefits lump sum

STTCPALLOW: Family or child allowance

STTCPPARENT: Periodic parental leave benefit

STTKCHILD: Child day care

STTKHOME: Home help

name: Tables by benefits - family/children function


Tables by benefits - housing function

STAKOWNER: Benefits to owner-occupiers (means-tested)

STAKRENT: Rent benefits (means-tested)

STAKRHOUSE: Social housing (means-tested)

STAKR_OTH: Other rent benefits (means-tested)


Tables by benefits - old age function

SNTCPANTPEN: Anticipated old age pension (non means-tested)

SNTCPOLDPEN: Old age pension (non means-tested)

SNTCPPARPEN: Partial pension (non means-tested)

STACPANTPEN: Anticipated old age pension (means-tested)

STACPOLDPEN: Old age pension (means-tested)

STACPPARPEN: Partial pension (means-tested)

STTCPANTPEN: Anticipated old age pension

STTCPOLDPEN: Old age pension

STTCPPARPEN: Partial pension


SNTCPSICK: Paid sick leave benefit (non means-tested)

SNTKIDIRECT: In-patient care direct provision (non means-tested)

SNTKINCARE: In-patient care (non means-tested)

SNTKIREMB: In-patient care remboursment (non means-tested)

SNTKODIR_OTH: Out-patient care other direct provision (non means-tested)

SNTKODIR_PHAR: Out-patient care direct provision of pharmaceitical products (non means-tested)

SNTKOREMB_OTH: Out-patient care other rembursment (non means-tested)

SNTKOREMB_PHAR: Out-patient care rembursment of pharmaceutical products (non means-tested)

SNTKOUTCARE: Out-patient care (non means-tested)

STACPSICK: Paid sick leave benefit (means-tested)

STAKIDIRECT: In-patient care direct provision (means-tested)

STAKINCARE: In-patient care (means-tested)

STAKIREMB: In-patient care remboursment (means-tested)

STAKODIR_OTH: Out-patient care other direct provision (means-tested)

STAKODIR_PHAR: Out-patient care direct provision of pharm. products (means-tested)

STAKOREMB_OTH: Out-patient care other rembursment (means-tested)

STAKOREMB_PHAR: Out-patient care rembursment of pharmaceutical products (means-tested)

STAKOUTCARE: Out-patient care (means-tested)

STTCPSICK: Paid sick leave benefit

STTKIDIRECT: In-patient care direct provision

STTKINCARE: In-patient care

STTKIREMB: In-patient care reimbursment

STTKODIR_OTH: Out-patient care other direct provision

STTKODIR_PHAR: Out-patient care direct provision of pharmaceutical products

STTKOREMB_OTH: Out-patient care other reimbursment

STTKOREMB_PHAR: Out-patient care reimbursment of pharmaceutical products

STTKOUTCARE: Out-patient care

name: Tables by benefits - sickness/health care function


Tables by benefits - survivors function

SNTCLDEATH: Death grant (non means-tested)

SNTCPSURVPEN: Survivors pension (non means-tested)

SNTKFUNERAL: Funeral expenses (non means-tested)

STACLDEATH: Death grant (means-tested)

STACPSURVPEN: Survivors pension (means-tested)

STAKFUNERAL: Funeral expenses (means-tested)

STTCLDEATH: Death grant

STTCPSURVPEN: Survivors pension

STTKFUNERAL: Funeral expenses


SNTCLRED: Lump sum benefit redundancy compensation (non means-tested)

SNTCLVOCAT: Lump sum benefit vocational training (non means-tested)

SNTCPEARLYMARK: Early retirement benefit for labour market reasons (non means-tested)

SNTCPFULLUNEMP: Full unemployment benefits (non means-tested)

SNTCPPARTUNEMP: Partial unemployment. (non means-tested)

SNTCPVOCAT: Periodic benefit vocational training (non means-tested)

SNTKMOBIL: Mobility and resettlement benefits (non means-tested)

SNTKPLACEMENT: Placement services and job search assistance (non means-tested)

SNTKVOCAT: Vocational training (non means-tested)

STACLRED: Lump sum benefit redundancy compensation (means-tested)

STACLVOCAT: Lump sum benefit vocational training (means-tested)

STACPEARLYMARK: Early retirement benefit for labour market reasons (means-tested)

STACPFULLUNEMP: Full unemployment benefits (means-tested)

STACPPARTUNEMP: Partial unemployment (means-tested)

STACPVOCAT: Periodic benefit vocational training (means-tested)

STAKMOBIL: Mobility and resettlement benefits (means-tested)

STAKPLACEMENT: Placement services and job search assistance (means-tested)

STAKVOCAT: Vocational training (means-tested)

STTCLVOCAT: Lump sum benefit vocational training

STTCPFULLUNEMP: Full unemployment benefits

STTCPPARTUNEMP: Partial unemployment

STTCPVOCAT: Periodic benefit vocational training

STTKMOBIL: Mobility and resettlement benefits

STTKVOCAT: Vocational training

name: Tables by benefits - unemployment function


name: Tables by functions, aggregated benefits and grouped schemes - in % of the GDP


name: Tables by functions, aggregated benefits and grouped schemes - in MIO of national currency


Pensions

dimensions_codes_order: FREQ spdepb spdepm unit geo

spdepb: ESSPROS-pension type

spdepm: ESSPROS-means-testing

SCPANTPEN: Anticipated old age pension

SCPDISPEN: Disability pension

SCPEARLYMARK: Early retirement benefit for labour market reasons

SCPEARLYRED: Early retirement benefit due to reduced capacity to work

SCPOLDPEN: Old age pension

SCPPARPEN: Partial pension

SCPSURVPEN: Survivors pension

MEANS: Means-tested

NON_MEANS: Non means-tested


name: Tables by functions, aggregated benefits and grouped schemes - in MIO of PPS


name: Tables by functions, aggregated benefits and grouped schemes - in PPS per head


Expenditure: main results

dimensions_codes_order: FREQ spdeps unit geo

spdeps: ESSPROS-main expenditure types

ADMIN: Administration costs

HOUSEEXCLU: Housing and Social exclusion n.e.c.

OLDSURVIV: Old age and survivors

OTHER: Other expenditure

SICKDISA: Sickness / healthcare and disability

TOTALNOREROUTE: Total expenditure

MEUR_KP10: Million euro (at constant 2010 prices)

MNAC_KP10: Million units of national currency at constant 2010 prices

PC_BEN: Percentage of total benefits

PC_EXP: Percentage of total expenditure


Net social protection benefits

dimensions_codes_order: freq indic_sp spscheme spdeps geo

indic_sp: Social protection indicators

EA13: Euro area - 13 countries (2007)

EA15: Euro area - 15 countries (2008)

EA16: Euro area - 16 countries (2009-2010)

EA17: Euro area - 17 countries (2011-2013)

EU25: European Union - 25 countries (2004-2006)

GSP_MIO_EUR: Gross social protection in millions of Euros

GSP_MIO_NAC: Gross social protection in millions of national currency

GSP_PC_GDP: Gross social protection as a percentage of GDP

NSP_MIO_EUR: Net social protection in millions of Euros

NSP_MIO_NAC: Net social protection in millions of national currency

NSP_PC_GDP: Net social protection as a percentage of GDP

NSP_PC_GSP: Net social protection as a percentage of gross social protection

SPB_PC_SC: Percentage of social protection benefits subject to social contributions

SPB_PC_TSC: Percentage of social protection benefits subject to taxation or social contributions

SPC_PC_SC: Percentage of social protection cash benefits subject to social contributions

SPC_PC_TSC: Percentage of social protection cash benefits subject to taxation or social contributions

TSC_RT_LE: Effective combined taxation and social contribution rates on benefits subject to levies

TSC_RT_SPB: Effective combined taxation and social contribution rates on all social protection benefits


Pensions beneficiaries at 31st December

dimensions_codes_order: FREQ unit spdepm spdepb sex geo

SCPOLDSURV: Old age plus survivors pensions

SCPTOTDISAB: Total disability pensions

SCPTOTOLDAGE: Total old age pensions

PERS: Persons


dimensions_codes_order: FREQ spscheme spsector sptype geo

spsector: ESSPROS-receipts - sector of origin

sptype: ESSPROS-receipts

CORPORATION: Corporations (non-financial and financial)

GG_CENT: General government central

GG_LOC: General government state and local

GG_SS: General government social security funds

HOUSENOREROUTE: Households

NONPROF: Non-profit institutions serving households

RESTNOREROUTE: Rest of the world

TOTALNOREROUTE: Total receipts

GEARLYMARK: Earmarked taxes

GGENREV: General revenue

GG_CONTRIB: General government contributions

REC_OTH: Other receipts

SEACTUAL: Actual employers' social contribution

SEIMPUTED: Imputed employers' social contribution

SEMPLOYER: Employers' social contribution

SOC_CONTRIBNOREROUTE: Social contribution

SPEMPLOY: Social contribution paid by the employees

SPROT_PERS: Social contribution paid by the protected persons

SPSELF: Social contribution paid by the self-employed

SP_OTH: Social contribution paid by pensioners and other protected persons

name: Receipts - tables by sector of origin and type, million EUR


name: Receipts - Tables by sector of origin and type, in % of the GDP


name: Receipts - Tables by sector of origin and type, in MIO of national currency (including 'euro fixed' series for euro area countries)


Receipts by sector of origin

dimensions_codes_order: FREQ spsector unit geo

PC_REC: Percentage of total receipts


Receipts by type

dimensions_codes_order: FREQ sptype unit geo


Employment in sport by age

du: definition differs (see metadata), low reliability

dimensions_codes_order: freq age unit geo

Y30-64: From 30 to 64 years

Y_GE65: 65 years or over

THS_PER: Thousand persons


dimensions_codes_order: freq isced11 unit geo

isced11: International Standard Classification of Education (ISCED 2011)

ED0-2: Less than primary, primary and lower secondary education (levels 0-2)

ED3_4: Upper secondary and post-secondary non-tertiary education (levels 3 and 4)

ED5-8: Tertiary education (levels 5-8)

NRP: No response

TOTAL: All ISCED 2011 levels

name: Employment in sport by educational attainment level


Employment in sport by sex

dimensions_codes_order: freq sex unit geo


dimensions_codes_order: FREQ unit coicop geo

coicop: Classification of individual consumption by purpose (COICOP)

CP0921: Major durables for outdoor recreation

CP09222: Major durables for indoor recreation

CP0923: Maintenance and repair of other major durables for recreation and culture

CP0932: Equipment for sport, camping and open-air recreation

CP09321: Equipment for sport

CP09322: Equipment for camping and open-air recreation

CP09323: Repair of equipment for sport, camping and open-air recreation

CP0941: Recreational and sporting services

CP09411: Recreational and sporting services - Attendance

CP09412: Recreational and sporting services - Participation

SPRT: Sports goods and services

PPS: Purchasing power standard (PPS)

name: Mean consumption expenditure of private households on sporting goods and services by COICOP consumption purpose


dimensions_codes_order: FREQ unit quant_inc geo

quant_inc: Income quantile

QU1: First quintile

QU2: Second quintile

QU3: Third quintile

QU4: Fourth quintile

QU5: Fifth quintile

name: Mean consumption expenditure of private households on sporting goods and services by income quintile


dimensions_codes_order: FREQ unit age frequenc sex geo

frequenc: Frequency

Y25-34: From 25 to 34 years

Y25-44: From 25 to 44 years

Y35-44: From 35 to 44 years

Y35-54: From 35 to 54 years

Y45-54: From 45 to 54 years

Y45-64: From 45 to 64 years

Y55-64: From 55 to 64 years

From 1 to 6 times

GE1: At least once

GT6: More than 6 times

NVR: Never

name: Persons attending live sport events in the last 12 months by sex and age


dimensions_codes_order: FREQ unit isced97 frequenc sex geo

isced97: International Standard Classification of Education (ISCED 1997)

ED0-2: Pre-primary, primary and lower secondary education (levels 0-2)

ED5_6: First and second stage of tertiary education (levels 5 and 6)

TOTAL: All ISCED 1997 levels

name: Persons attending live sport events in the last 12 months by sex and educational attainment level


dimensions_codes_order: freq prod_sp partner stk_flow unit geo

prod_sp: Sport products

EXT_EU27_2020: Extra-EU27 (from 2020)

INT_EU27_2020: Intra-EU27 (from 2020)

WORLD: All countries of the world

BALL: Tennis balls, inflatable balls, other balls (excl. golf balls, and table-tennis balls)

CHUTE: Parachutes (including dirigible parachutes and paragliders) and rotochutes; parts thereof and accessories thereto

CYCLE: Bicycles and other cycles (including delivery tricycles), not motorised

FISHING: Fishing rods, fish-hooks, fishing reels and other fishing equipment

FTWEAR: Sports footwear

GOLF: Golf clubs and other golf equipment

GYMSWIM: Articles and equipment for general physical exercise, gymnastics or athletics, sport and outdoor games, swimming and paddling pools

RACKET: Articles and equipment for table tennis; tennis, badminton and similar rackets

SHOTGUN: Sporting, hunting or target-shooting shotguns

SKATE: Ice skates and roller skates, including skating boots with skates attached

SKI: Snow-skis and other snow-ski equipment, ski-boots, cross-country ski footwear and snowboard boots

SPWEAR: Swimwear, ski-suits, gloves designed for use in sports

WATER: Vessels, sailboats, other water-sport boats and water-sport equipment

EXP: Exports

IMP: Imports

PC_EU27_2020: Percentage of EU27 (from 2020) total

PC_TOT: Percentage of total

THS_EUR: Thousand euro

name: Intra and extra-EU trade in sporting goods by product


AD: Andorra

AE: United Arab Emirates

AU: Australia

BD: Bangladesh

BM: Bermuda

BR: Brazil

BS: Bahamas

BY: Belarus

CA: Canada

CL: Chile

CO: Colombia

DZ: Algeria

EG: Egypt

ET: Ethiopia

EXT_EU: Extra-EU

GI: Gibraltar

HK: Hong Kong

IL: Israel

IN: India

INT_EU: Intra-EU

KG: Kyrgyzstan

KH: Cambodia

KW: Kuwait

KY: Cayman Islands

KZ: Kazakhstan

LK: Sri Lanka

name: Intra and extra-EU trade in sporting goods by product and partner


dimensions_codes_order: FREQ indic_st geo

indic_st: Steel indicator

CZ: Czech Republic

V1010: Stocks on first day of year

V1020: Arising within the works

V1031: Receipts from home sources

V1032: Receipts from Community countries

V1033: Receipts from third countries

V1040: Total available (V1010 + V1020 + V1030)

V1050: Consumption total ...

V1051: Consumption of electric furnaces

V1052: Consumption of stainless scrap

V1060: Deliveries

V1070: Stocks on last day of year (V1040 - V1050 - V1060)

name: Annual statistics on the steel and cast iron scrap balance sheet (in tonnes)


dimensions_codes_order: FREQ plants prod_nrg geo

plants: Type of plant

prod_nrg: Energy product

EGS: Electricity generating stations

FRN: Blast furnaces and electric iron making furnaces

MLS: Melting shops

OTH: Other plant

PLP: Plant for load preparation

RMD: Rolling mill departments

COKE: Coke

DLV_GAS_BFUR: External deliveries of blast-furnace gas

DLV_GAS_CONV: External deliveries of converter gas

GAS_BFUR: Blast-furnace gas

GAS_COKE: Coke-oven gas

GAS_CONV: Converter gas

GAS_OTH: Other gas

LIQ_FUEL: Liquid fuels

SOL_FUEL: Solid fuels (v2011 + v2012)

SOL_FUEL_OTH: Other solid fuels

name: Annual statistics on the Fuel and Energy Consumption by type of plant (Gas products in GJ, other: tonnes)


V3100: Resources (V3101 + V3102)

V3101: Gross production

V3102: Receipts from outside

V3211: Sinter plant and plant for preparation of burden

V3212: Blast furnaces and electric iron making furnaces

V3213: Electric melting shops and continuing casting

V3214: Other melting shops and continuing casting

V3215: Rolling mill departments

V3216: Electricity generating stations

V3217: Other plant

V3220: Deliveries to outside

V3230: Losses

name: Annual statistics on the Balance Sheet for Electrical Energy in the Steel Industry (in MWh)


dimensions_codes_order: FREQ plants geo

CCA: Continuous casting

COA: Coating installations

COK: Coking plant

CWS: Cold wide strip mills

FPR: Flat products

IFA: Plant for iron-making and ferro-alloys (including blast furnaces)

LPR: Long products

POL: Environmental protection (not specified by plant)

SMS: Steelworks melting shops

SMSE: Electric Steelworks melting shops

name: Enquiry on investments in the Iron and Steel Industry (thousands EUR)


dimensions_codes_order: FREQ prodtyp indic_st geo

prodtyp: Production

V5010: Coke

V5020: Load preparation

V5030: Pig iron and ferro-alloys

V5040: Crude steel

V5041: Crude steel: electric

V5042: Crude steel used in continuous casting

V5050: Products obtained directly by hot rolling (V5051 + V5052)

V5051: Flat products

V5052: Long products

V5060: Products obtained from hot rolling products (excluding coated products)

V5061: Products obtained from hot rolling products obtained by cold rolling

V5070: Coated products

ACP: Actual production

MPP: Maximum possible production

name: Annual statistics on capacity (1 000 tonnes per year)


Building permits - annual data

cpa2_1: Statistical Classification of Products by Activity (CPA 2.1)

indic_bt: Business trend indicator

s_adj: Seasonal adjustment

CPA_F41001: Residential buildings

CPA_F410011: One-dwelling buildings

CPA_F410012_410013: Two- and more dwelling buildings

CPA_F410014: Residences for communities

CPA_F41001_41002: Buildings

CPA_F41001_X_410014: Residential buildings, except residences for communities

CPA_F41002: Non-residential buildings

CPA_F410023: Office buildings

CPA_F41002_X_410023: Non-residential buildings, except office buildings

BPRM_DW: Building permits - number of dwellings

BPRM_SQM: Building permits - m2 of useful floor area

NSA: Unadjusted data (i.e. neither seasonally adjusted nor calendar adjusted data)

MIO_M2: Million square metres

PCH_SM: Percentage change compared to same period in previous year

THS: Thousand


Building permits - monthly data

M: Monthly

SCA: Seasonally and calendar adjusted data

PCH_PRE: Percentage change on previous period


Building permits - quarterly data

Q: Quarterly


EMP: Persons employed

HW: Hours worked by employees

WAGE: Wages and salaries

F: Construction

CA: Calendar adjusted data, not seasonally adjusted data

name: Labour input in construction - annual data


ps: provisional, Eurostat estimate

name: Labour input in construction - monthly data


name: Labour input in construction - quarterly data


COST: Costs

PRC_PRR: Producer prices

name: Construction producer prices or costs, new residential buildings - annual data


name: Construction producer prices or costs, new residential buildings - monthly data


name: Construction producer prices or costs, new residential buildings - quarterly data


PRD: Production (volume)

B-D_F: Mining and quarrying; manufacturing; electricity, gas, steam and air conditioning supply; construction

F41: Construction of buildings

F42: Civil engineering

F43: Specialised construction activities

F_CC1: Buildings

F_CC2: Civil engineering works

N: Administrative and support service activities

name: Production in construction - annual data


M: Professional, scientific and technical activities

name: Production in construction - monthly data


name: Production in construction - quarterly data


Labour input in industry - annual data

B: Mining and quarrying

B-D: Mining and quarrying; manufacturing; electricity, gas, steam and air conditioning supply

B-E36_F: Industry and construction (except sewerage, waste management and remediation activities)

B-E36_X_FOOD: Industry (except construction, sewerage, waste management and remediation activities), except food, beverages and tobacco

B-N_X_K: Total business economy except financial and insurance activities

B05: Mining of coal and lignite

B06: Extraction of crude petroleum and natural gas

B07: Mining of metal ores

B08: Other mining and quarrying

B09: Mining support service activities

B_C: Mining and quarrying; manufacturing

B_C_X_FD_MIG_NRG: Mining and quarrying; manufacturing (except MIG energy), except food, beverages and tobacco

C10: Manufacture of food products

C10-C12: Manufacture of food products; beverages and tobacco products

C10_C11: Manufacture of food products and beverages

C11: Manufacture of beverages

C12: Manufacture of tobacco products

C13: Manufacture of textiles

C14: Manufacture of wearing apparel

C15: Manufacture of leather and related products

C16: Manufacture of wood and of products of wood and cork, except furniture; manufacture of articles of straw and plaiting materials

C17: Manufacture of paper and paper products

C18: Printing and reproduction of recorded media

C19: Manufacture of coke and refined petroleum products

C20: Manufacture of chemicals and chemical products

C21: Manufacture of basic pharmaceutical products and pharmaceutical preparations

C22: Manufacture of rubber and plastic products

C23: Manufacture of other non-metallic mineral products

C24: Manufacture of basic metals

C24_C25: Manufacture of basic metals and fabricated metal products, except machinery and equipment

C25: Manufacture of fabricated metal products, except machinery and equipment

C26: Manufacture of computer, electronic and optical products

C27: Manufacture of electrical equipment

C28: Manufacture of machinery and equipment n.e.c.

C29: Manufacture of motor vehicles, trailers and semi-trailers

C29_C30: Manufacture of motor vehicles, trailers, semi-trailers and of other transport equipment

C30: Manufacture of other transport equipment

C31: Manufacture of furniture

C32: Other manufacturing

C33: Repair and installation of machinery and equipment

C_HTC: High-technology manufacturing

C_HTC_M: Medium high-technology manufacturing

C_LTC: Low-technology manufacturing

C_LTC_M: Medium low-technology manufacturing

D: Electricity, gas, steam and air conditioning supply

E36: Water collection, treatment and supply

MIG_CAG: MIG - capital goods

MIG_COG: MIG - consumer goods

MIG_COG_X_FOOD: MIG - consumer goods (except food, beverages and tobacco)

MIG_DCOG: MIG - durable consumer goods

MIG_ING: MIG - intermediate goods

MIG_ING_CAG: MIG - intermediate and capital goods

MIG_NDCOG: MIG - non-durable consumer goods

MIG_NRG: MIG - energy

MIG_NRG_X_D_E: MIG - energy (except sections D and E)


Labour input in industry - monthly data

B-E36: Industry (except construction, sewerage, waste management and remediation activities)

B_C_X_MIG_NRG: Mining and quarrying; manufacturing (except MIG energy)

C31_C32: Manufacture of furniture; other manufacturing

D35: Electricity, gas, steam and air conditioning supply


D35_E36: Electricity, gas, steam and air conditioning supply; water collection, treatment and supply

name: Labour input in industry - quarterly data