name: Time when more than one activity undertaken simultaneously


dimensions_codes_order: FREQ unit sex startime acl00 geo

FREQ: Frequency

acl00: Classification of activities for time use

geo: Geopolitical entity (reporting)

sex: Sex

startime: Starting time of the activity

unit: Unit of measure

[A] Annual

AC02: Eating

AC0A: Personal care except eating

AC1_2_TR: Work and study

AC3_TR: Household and family care and related travel

AC4-8A: Leisure, social and associative life except TV and video

AC82: TV and video

AC9E: Travel to/from work/study

NSP: Unspecified time use and travel

TOTAL: Total

BE: Belgium

BG: Bulgaria

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

EE: Estonia

EL: Greece

ES: Spain

FI: Finland

FR: France

HU: Hungary

IT: Italy

LT: Lithuania

LU: Luxembourg

LV: Latvia

NL: Netherlands

NO: Norway

PL: Poland

RO: Romania

RS: Serbia

SI: Slovenia

TR: Türkiye

UK: United Kingdom

F: Females

M: Males

T: Total

TOTAL: Total (24 hours)

PTP_RT: Participation rate (%)

name: Participation rate in the main activity (wide groups) by sex and time of the day

provider_code: Eurostat

provider_name: Eurostat


dimensions_codes_order: FREQ unit tra_mode geo

tra_mode: Mode of transport

AT: Austria

BIKE: Bicycles

FOOT: On foot

OTH: Other

PRV: Private cars, motorcycles, vans

PUB: Public transport

PTP_TIME: Participation time (hh:mm)

TIME_SP: Time spent (hh:mm)

name: Time spent on travelling by mode of transport


dimensions_codes_order: FREQ unit daysweek sex acl00 geo

daysweek: Days of the week

AC0: Personal care

AC01: Sleep

AC03: Other and/or unspecified personal care

AC1A: Main and second job and related travel

AC1B: Activities related to employment and unspecified employment

AC1_TR: Employment, related activities and travel as part of/during main and second job

AC2: Study

AC212: Homework

AC21A: School and university except homework

AC22: Free time study

AC3: Household and family care

AC313: Dish washing

AC31A: Food management except dish washing

AC321: Cleaning dwelling

AC32A: Household upkeep except cleaning dwelling

AC331: Laundry

AC332: Ironing

AC33A: Handicraft and producing textiles and other care for textiles

AC342: Tending domestic animals

AC343: Caring for pets

AC344: Walking the dog

AC34A: Gardening; other pet care

AC35: Construction and repairs

AC36: Shopping and services

AC37_39: Household management and help family member

AC38A: Childcare, except teaching, reading and talking

AC38B: Teaching, reading and talking with child

AC4-8: Leisure, social and associative life

AC4-8NSP: Unspecified leisure

AC41: Organisational work

AC42: Informal help to other households

AC43: Participatory activities

AC51A: Visiting and feasts

AC51B: Other social life

AC52: Entertainment and culture

AC53: Resting

AC611: Walking and hiking

AC6A: Sports and outdoor activities except walking and hiking

AC733: Computer games

AC7A: Computing

AC7B: Hobbies and games except computing and computer games

AC811: Reading, except books

AC812: Reading books

AC83: Radio and music

AC90NSP: Unspecified travel

AC913: Travel to/from work

AC936: Travel related to shopping and services

AC938: Transporting a child

AC99NSP: Unspecified time use

AC9A: Travel except travel related to jobs

AC9B: Travel related to study

AC9C: Travel related to other household purposes

AC9D: Travel related to leisure, social and associative life

D1-5: Monday to Friday

D1-7: All days of the week

D6-7: Saturday to Sunday

name: Time spent, participation time and participation rate in the main activity by sex and day of the week


dimensions_codes_order: FREQ unit acl00 sex geo

AC_NP_SEC: Productive unpaid secondary activities

AC_PNP_MAIN: Paid and unpaid productive main activities

name: Time spent in total work (paid and unpaid work as main or secondary activity) by sex and by form of work


OBS_STATUS: Observation Status

b: break in time series

d: definition differs (see metadata)

u: low reliability

dimensions_codes_order: FREQ sex isced11 age unit geo

age: Age class

isced11: International Standard Classification of Education (ISCED 2011)

Y15-74: From 15 to 74 years

Y20-64: From 20 to 64 years

Y25-74: From 25 to 74 years

CH: Switzerland

CY: Cyprus

CZ: Czechia

DK: Denmark

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

EA20: Euro area – 20 countries (from 2023)

EU27_2020: European Union - 27 countries (from 2020)

HR: Croatia

IE: Ireland

IS: Iceland

ME: Montenegro

MK: North Macedonia

MT: Malta

PT: Portugal

SE: Sweden

SK: Slovakia

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)

PC_ACT: Percentage of population in the labour force

PC_UNE: Percentage of unemployment

THS_PER: Thousand persons

name: Unemployment by sex, age and educational attainment - annual data


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

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

FX: France (metropolitan)

name: Unemployment by sex, age and educational attainment (1998-2020) - annual data


c: confidential

dimensions_codes_order: FREQ sex isced11 age s_adj unit geo

s_adj: Seasonal adjustment

Q: Quarterly

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

SA: Seasonally adjusted data, not calendar adjusted data

TC: Trend cycle data

name: Unemployment by sex, age and educational attainment - quarterly data


name: Unemployment by sex, age and educational attainment (1998-2020) - quarterly data


dimensions_codes_order: FREQ indic_em age sex unit geo

indic_em: Employment indicator

LTU: Long-term unemployment

VLTU: Very long-term unemployment

name: Long-term unemployment by sex - annual data


e: estimated

name: Long-term unemployment by sex (1996-2020) - annual data


dimensions_codes_order: FREQ indic_em age unit s_adj sex geo

name: Long-term unemployment by sex - quarterly data


name: Long-term unemployment by sex (1992-2020) - quarterly data


dimensions_codes_order: FREQ age unit sex geo

Y15-24: From 15 to 24 years

Y15-29: From 15 to 29 years

Y25-54: From 25 to 54 years

Y55-74: From 55 to 74 years

PC_POP: Percentage of total population

name: Unemployment by sex and age – annual data


name: Unemployment by sex and age (1992-2020) - annual data


OBS_FLAG: Observation status (Flag)

p: provisional

dimensions_codes_order: freq s_adj age unit sex geo

freq: Time frequency

Y_LT25: Less than 25 years

M: Monthly

BA: Bosnia and Herzegovina

DE: Germany

JP: Japan

US: United States

name: Unemployment by sex and age – monthly data


dimensions_codes_order: FREQ s_adj age unit sex geo

name: Unemployment by sex and age – quarterly data


name: Unemployment by sex and age (1992-2020) - quarterly data


dimensions_codes_order: freq indic_ur cities

cities: Geopolitical entity (declaring)

indic_ur: Urban audit indicator

AT001C: Wien

AT002C: Graz

AT003C: Linz

AT004C: Salzburg

AT005C: Innsbruck

BE001C: Bruxelles/Brussel

BE002C: Antwerpen

BE003C: Gent

BE004C: Charleroi

BE005C: Liège

BE006C: Brugge

BE007C: Namur

BE008C: Leuven

BE009C: Mons

BE010C: Kortrijk

BE011C: Oostende

BG001C: Sofia

BG002C: Plovdiv

BG003C: Varna

BG004C: Burgas

BG005C: Pleven

BG006C: Ruse

BG007C: Vidin

BG008C: Stara Zagora

BG009C: Sliven

BG010C: Dobrich

BG011C: Shumen

BG012C: Pernik

BG013C: Yambol

BG014C: Haskovo

BG015C: Pazardzhik

BG016C: Blagoevgrad

BG017C: Veliko Tarnovo

BG018C: Vratsa

CH: Schweiz/Suisse

CH001C: Bern

CH002C: Zürich

CH003C: Genève

CH004C: Basel

CH005C: Lausanne

CH006C: Luzern

CH007C: Winterthur

CH008C: Lugano

CH009C: St. Gallen

CY001C: Lefkosia

CZ: Czech Republic

CZ001C: Praha

CZ002C: Brno

CZ003C: Ostrava

CZ004C: Plzen

CZ005C: Ústí nad Labem

CZ006C: Olomouc

CZ007C: Liberec

CZ008C: Ceské Budejovice

CZ009C: Hradec Králové

CZ010C: Pardubice

CZ011C: Zlín

CZ012C: Kladno

CZ013C: Karlovy Vary

CZ014C: Jihlava

CZ015C: Havírov

CZ016C: Most

CZ017C: Karviná

CZ018C: Chomutov-Jirkov

DE001C: Berlin

DE002C: Hamburg

DE003C: München

DE004C: Köln

DE005C: Frankfurt am Main

DE006C: Essen

DE007C: Stuttgart

DE008C: Leipzig

DE009C: Dresden

DE010C: Dortmund

DE011C: Düsseldorf

DE012C: Bremen

DE013C: Hannover

DE014C: Nürnberg

DE015C: Bochum

DE016C: Bielefeld

DE017C: Halle an der Saale

DE018C: Magdeburg

DE019C: Wiesbaden

DE020C: Göttingen

DE021C: Mülheim a.d.Ruhr

ES069C: Castellón de la Plana/Castelló de la Plana

ES098C: San Vicente del Raspeig/Sant Vicent del Raspeig

UK135C: Derry & Strabane Local Government District

EC2039V: Number of  local units - all economic activities

name: Economy and finance - cities and greater cities


Education - cities and greater cities

bc: break in time series, confidential

be: break in time series, estimated

bep: break in time series, estimated, provisional

bp: break in time series, provisional

bu: break in time series, low reliability

ep: estimated, provisional

AT006C: Klagenfurt

BE012C: Mechelen

BE013C: Mouscron

BE014C: La Louvière

BE015C: Verviers

CH010C: Biel/Bienne

TE1001I: Number of Children 0-4 in day care (publ.&priv) per 1000 children 0-4

TE1001V: Number of children 0-4 in day care or school

TE1026I: Share of students in higher education in the total population (per 1000 persons)

TE1026V: Students in higher education (ISCED level 5-8 from 2014 onwards), total

TE1027V: Students in higher education (ISCED level 5-8 from 2014 onwards), male

TE1028V: Students in higher education (ISCED level 5-8 from 2014 onwards), female

TE1039V: Share of early leavers from education and training, total -%

TE1040V: Share of early leavers from education and training, male -%

TE1041V: Share of early leavers from education and training, female -%

TE2025V: Persons (aged 25-64) with ISCED level 0, 1or 2 as the highest level of education

TE2028I: Proportion of working age population qualified at level 3 or 4 ISCED

TE2028V: Persons (aged 25-64) with ISCED level 3 or 4 as the highest level of education

TE2031I: Proportion of population aged 25-64 qualified at level 5 to 8 ISCED, from 2014 onwards

TE2031V: Persons aged 25-64 with ISCED level 5, 6, 7 or 8 as the highest level of education, from 2014 onwards


Environment - cities and greater cities

EN1002V: Total number of hours of sunshine per day

EN1003V: Average temperature of warmest month - degrees

EN1004V: Average temperature of coldest month - degrees

EN2002V: Number of days ozone O3 concentrations exceed 120 µg/m³

EN2003V: Number of hours nitrogen dioxide NO2 concentrations exceed 200 µg/m³

EN2005V: Number of days particulate matter PM10 concentrations exceed 50 µg/m³

EN2025V: Accumulated ozone concentration in excess 70 µg/m³

EN2026V: Annual average concentration of NO2 (µg/m³)

EN2027V: Annual average concentration of PM10 (µg/m³)

EN2029I: Proportion of residents exposed to air traffic noise >55 dB(A) at night time

EN2032I: Proportion of residents exposed to rail traffic noise >65 dB(A) at day time

EN2033I: Proportion of residents exposed to road traffic noise >65 dB(A) at day time

EN2035I: Proportion of residents exposed to road traffic noise >55 dB(A) at night time

EN2036I: Proportion of residents exposed to rail traffic noise >55 dB(A) at night time

EN3011V: Share of the urban waste water load (in population equivalents) treated according to the applicable standard -%

EN3012V: Share of population connected to potable drinking water system - %

EN3013V: Share of population connected to sewerage treatment system - %

EN4008V: Municipal waste generated (domestic and commercial), total - 1000 t

EN5200V: Share of land (%): Continuous residential urban fabric

EN5201V: Share of land (%): Discontinuous residential urban fabric

EN5202V: Share of land (%): Industrial, commercial, public, military and private units

EN5203V: Share of land (%): Transport infrastructure

EN5204V: Share of land (%): Other artificial areas

EN5205V: Share of land (%): Green urban areas and sports and leisure facilities


z: not applicable

SA2004I: Infant mortality rate (per 1000 live births)

SA2010V: Number of adolescent births  (from mothers aged 10-14 years; aged 15-19 years)

SA2013V: Number of deaths per year under 65 due to diseases of the circulatory or respiratory systems

name: Fertility and mortality - cities and greater cities


pu: provisional, low reliability

DE3001V: Private households (excluding institutional households)

DE3002I: Proportion of households that are 1-person households

DE3005I: Proportion of households that are lone-parent households

DE3005V: Lone parent private households (with children aged 0 to under 18)

DE3008I: Proportion of households that are lone-pensioner households

DE3008V: Lone pensioner (above retirement age) households

DE3011I: Proportion of households with children aged 0-17

DE3011V: Households with children aged 0 to under 18

DE3016I: Lone parent households per 100 households with children aged 0-17

DE3017V: Population living in private households (excluding institutional households)

EC3039V: Median disposable annual household income - EUR

EC3040V: Average disposable annual household income - EUR

EC3064V: Share of persons living in households with very low work intensity - %

EC3065V: Share of persons at risk of poverty after social transfers -%

EC3066V: Share of severely materially deprived persons -%

EC3067V: Share of persons at risk of poverty or social exclusion -%

SA1007I: Proportion of households living in houses

SA1008I: Proportion of households living in apartments

SA1008V: Number of households living in apartments

SA1011I: Proportion of households living in owned dwellings

SA1022V: Average area of living accommodation - m²/person

SA1029V: Number of people in accommodation for the homeless

SA1049V: Average annual rent for housing per m² - EUR

SA1051V: Average price for buying an apartment - EUR

SA1052V: Average price for buying a house per m2 - EUR

SA1053V: Average price for buying an apartment  per m2 - EUR

name: Living conditions - cities and greater cities


cd: confidential, definition differs (see metadata)

EC1145V: Economically active population 55-64, total

EC1146V: Economically active population 55-64, male

EC1147V: Economically active population 55-64, female

EC1174V: Economically active population, 20-64, total

EC1175V: Economically active population, 20-64, male

EC1176V: Economically active population, 20-64, female

EC2008V: Employment (jobs) in agriculture, fishery (NACE Rev. 2, A)

EC2009V: Employment (jobs) in mining, manufacturing, energy (NACE Rev. 2, B-E)

EC2020V: Total employment/jobs (work place based)

EC2022V: Employment (jobs) in construction (NACE Rev. 2, F)

EC2032V: Employment (jobs) in trade, transport, hotels, restaurants (NACE Rev. 2, G to I)

EC2033V: Employment (jobs) in information and communication (NACE Rev. 2, J)

EC2034V: Employment (jobs) in financial and insurance activities (NACE Rev. 2, K)

EC2035V: Employment (jobs) in real estate activities (NACE Rev. 2, L)

EC2036V: Employment (jobs) in professional, scientific and technical activities; administrative and support service activities (NACE Rev. 2, M and N)

EC2037V: Employment (jobs) in public administration, defence, education, human health and social work activities (NACE Rev. 2, O to Q)

EC2038V: Employment (jobs) in arts, entertainment and recreation; other service activities; activities of household and extra-territorial organizations and bodies (NACE Rev. 2, R to T)

name: Labour market - cities and greater cities


DE1003V: Population on the 1st of January, female

DE1025V: Population on the 1st of January, 55-64 years, total

DE1026V: Population on the 1st of January, 55-64 years, male

DE1027V: Population on the 1st of January, 55-64 years, female

DE1028V: Population on the 1st of January, 65-74 years, total

DE1029V: Population on the 1st of January, 65-74 years, male

DE1030V: Population on the 1st of January, 65-74 years, female

DE1040V: Population on the 1st of January, 0-4 years, total

DE1041V: Population on the 1st of January, 0-4 years, male

DE1042V: Population on the 1st of January, 0-4 years, female

DE1046V: Population on the 1st of January, 15-19 years, total

DE1047V: Population on the 1st of January, 15-19 years, male

DE1048V: Population on the 1st of January, 15-19 years, female

DE1049V: Population on the 1st of January, 20-24 years, total

DE1050V: Population on the 1st of January, 20-24 years, male

DE1051V: Population on the 1st of January, 20-24 years, female

DE1055V: Population on the 1st of January, 75 years and over, total

DE1056V: Population on the 1st of January, 75 years and over, male

DE1057V: Population on the 1st of January, 75 years and over, female

DE1058V: Population on the 1st of January, 25-34 years, total

DE1059V: Population on the 1st of January, 25-34 years, male

DE1060V: Population on the 1st of January, 25-34 years, female

DE1061V: Population on the 1st of January, 35-44 years, total

DE1062V: Population on the 1st of January, 35-44 years, male

DE1063V: Population on the 1st of January, 35-44 years, female

DE1064V: Population on the 1st of January, 45-54 years, total

DE1065V: Population on the 1st of January, 45-54 years, male

DE1066V: Population on the 1st of January, 45-54 years, female

DE1074V: Population on the 1st of January, 5-9 years, total

DE1075V: Population on the 1st of January, 5-9 years, male

DE1076V: Population on the 1st of January, 5-9 years, female

DE1077V: Population on the 1st of January, 10-14 years, total

DE1078V: Population on the 1st of January, 10-14 years, male

DE1079V: Population on the 1st of January, 10-14 years, female

DE1101V: Population on the 1st of January, 25-29 years, total

DE1102V: Population on the 1st of January, 25-29 years, male

DE1103V: Population on the 1st of January, 25-29 years, female

DE1104V: Population on the 1st of January, 30-34 years, total

DE1105V: Population on the 1st of January, 30-34 years, male

DE1106V: Population on the 1st of January, 30-34 years, female

DE1107V: Population on the 1st of January, 35-39 years, total

DE1108V: Population on the 1st of January, 35-39 years, male

DE1109V: Population on the 1st of January, 35-39 years, female

DE1110V: Population on the 1st of January, 40-44 years, total

DE1111V: Population on the 1st of January, 40-44 years, male

DE1112V: Population on the 1st of January, 40-44 years, female

DE1113V: Population on the 1st of January, 45-49 years, total

DE1114V: Population on the 1st of January, 45-49 years, male

DE1115V: Population on the 1st of January, 45-49 years, female

DE1116V: Population on the 1st of January, 50-54 years, total

DE1117V: Population on the 1st of January, 50-54 years, male

DE1118V: Population on the 1st of January, 50-54 years, female

DE1119V: Population on the 1st of January, 55-59 years, total

DE1120V: Population on the 1st of January, 55-59 years, male

DE1121V: Population on the 1st of January, 55-59 years, female

DE1122V: Population on the 1st of January, 60-64 years, total

DE1123V: Population on the 1st of January, 60-64 years, male

DE1124V: Population on the 1st of January, 60-64 years, female

DE1125V: Population on the 1st of January, 65-69 years, total

DE1126V: Population on the 1st of January, 65-69 years, male

DE1127V: Population on the 1st of January, 65-69 years, female

DE1128V: Population on the 1st of January, 70-74 years, total

DE1129V: Population on the 1st of January, 70-74 years, male

DE1130V: Population on the 1st of January, 70-74 years, female

DE1131V: Population on the 1st of January, 75-79 years, total

DE1132V: Population on the 1st of January, 75-79 years, male

DE1133V: Population on the 1st of January, 75-79 years, female

DE1134V: Population on the 1st of January, 80-84 years, total

DE1135V: Population on the 1st of January, 80-84 years, male

DE1136V: Population on the 1st of January, 80-84 years, female

DE1137V: Population on the 1st of January, 85 years or over, total

DE1138V: Population on the 1st of January, 85 years or over, male

DE1139V: Population on the 1st of January, 85 years or over, female

name: Population on 1 January by age groups and sex - cities and greater cities


DE2003I: Non-EU foreigners as a proportion of population

DE2007I: Foreigners as a proportion of population

DE2008I: Native-born as a proportion of population

DE2009I: Foreign-born as a proportion of population

DE4001V: Population with the place of residence in the same dwelling, in the year before

DE4002V: Population with the place of residence in another dwelling in the same city/FUA, in the year before

DE4003V: Population with the place of residence in another dwelling outside the current city/FUA in the same country, in the year before

DE4004V: Population with the place of residence in another EU country, in the year before

DE4005V: Population with the place of residence outside the EU, in the year before

name: Population by citizenship and country of birth - cities and greater cities


DE1025I: Proportion of total population aged 55-64

DE1028I: Proportion of population aged 65-74 years

DE1046I: Proportion of population aged 15-19 years

DE1049I: Proportion of population aged 20-24 years

DE1055I: Proportion of population aged 75 years and over

DE1057I: Women per 100 men - aged 75 years and over

DE1058I: Age dependency ratio (population aged 0-19 and 65 and more to population aged 20-64)

DE1059I: Young-age dependency ratio (population aged 0-19 to population 20-64 years)

DE1060I: Old age dependency ratio (population 65 and over to population 20 to 64 years)

DE1064I: Proportion of population aged 45-54 years

DE1073I: Proportion of population aged 25-34 years

DE1076I: Proportion of population aged 35-44 years

DE1085I: Proportion of population aged 10-14 years

name: Population structure - cities and greater cities


CR1003I: Number of cinema seats per 1000 residents

CR1010V: Number of public libraries (all distribution points)

CR1015V: Number of public swimming pools (indoor and outdoor, excluding beaches)

CR2009V: Number of bed-places in tourist accommodation establishments

CR2010I: Number of available beds per 1000 residents

CR2010V: Nights spent in tourist accommodation establishments by residents

CR2011I: Total nights spent in tourist accommodation establishments per resident population

CR2011V: Nights spent in tourist accommodation establishments by non-residents

name: Culture and tourism - cities and greater cities


Transport - cities and greater cities

TT1006V: Share of journeys to work by motor cycle -%

TT1010V: Share of journeys to work by public transport (rail, metro, bus, tram) -%

TT1012V: Share of journeys to work by car or motor cycle -%

TT1019V: Average time of journey to work - minutes

TT1020V: Average length of journey to work by private car - km

TT1057I: Number of registered cars per 1000 population

TT1060I: People killed in road accidents per 10000 pop.

TT1079V: Length of bicycle network (dedicated cycle paths and lanes) - km

TT1080V: Cost of a combined monthly ticket (all modes of public transport) for 5-10 km in the central zone - EUR

TT1081V: Cost of a taxi ride of 5 km to the centre at day time - EUR


Education - functional urban areas

BG001F: Sofia

BG002F: Plovdiv

BG003F: Varna

BG004F: Burgas

BG005F: Pleven

BG006F: Ruse

BG007F: Vidin

BG008F: Stara Zagora

BG009F: Sliven

BG010F: Dobrich

BG011F: Shumen

BG013F: Yambol

BG014F: Haskovo

BG015F: Pazardzhik

BG016F: Blagoevgrad

BG017F: Veliko Tarnovo

BG018F: Vratsa

CH001F: Bern

CH002F: Zürich

CH003F: Genève

CH003T: Geneva crossborder FUA

CH004F: Basel

CH004T: Basel crossborder FUA

CH005F: Lausanne

CH006F: Luzern

CH008F: Lugano

CH009F: St. Gallen

CH010F: Biel/Bienne

CY001F: Lefkosia

CZ001F: Praha

CZ002F: Brno

CZ003F: Ostrava

CZ004F: Plzen

CZ005F: Ústí nad Labem

CZ006F: Olomouc

CZ007F: Liberec

CZ008F: Ceské Budejovice

CZ009F: Hradec Králové

CZ010F: Pardubice

CZ011F: Zlín

CZ013F: Karlovy Vary

CZ014F: Jihlava

CZ016F: Most

CZ018F: Chomutov

DE001F: Berlin

DE002F: Hamburg

DE003F: München

DE004F: Köln

DE005F: Frankfurt am Main

DE006F: Ruhrgebiet

DE007F: Stuttgart

DE008F: Leipzig

DE009F: Dresden

DE011F: Düsseldorf

DE012F: Bremen

DE013F: Hannover

DE014F: Nürnberg

DE016F: Bielefeld

DE017F: Halle an der Saale

DE018F: Magdeburg

DE019F: Wiesbaden

DE020F: Göttingen

DE023F: Darmstadt

DE024F: Trier

DE025F: Freiburg im Breisgau

DE026F: Regensburg

DE027F: Frankfurt (Oder)

DE028F: Weimar

DE029F: Schwerin

DE030F: Erfurt

DE031F: Augsburg

DE032F: Bonn

DE033F: Karlsruhe

DE034F: Mönchengladbach

DE035F: Mainz

DE036F: Kiel

DE037F: Saarbrücken

DE039F: Koblenz

DE040F: Rostock

DE041F: Kaiserslautern

DE042F: Iserlohn

DE045F: Wilhelmshaven

ES069F: Castellón de la Plana/Castelló de la Plana


Environment - functional urban areas

BE001F: Bruxelles/Brussel/Leuven

BE002F: Antwerpen

BE004F: Charleroi

BE005F: Liège

BE007F: Namur

BE010F: Kortrijk

BE011F: Oostende


BE003F: Gent

BE006F: Brugge

BE009F: Mons

BE012F: Mechelen

BE013F: Mouscron

BE014F: La Louvière

BE015F: Verviers

CY003F: Lemesos

name: Fertility and mortality - functional urban areas


name: Living conditions - functional urban areas


Labour market - functional urban areas

EC2008I: Proportion of employment in agriculture fishery

EC2009I: Proportion of employment in industries (NACE Rev.1.1 C-E)

EC2022I: Proportion of employment in construction (NACE Rev.1.1 F)


name: Population on 1 January by age groups and sex - functional urban areas


DE2002I: EU foreigners as a proportion of population

name: Population by citizenship and country of birth - functional urban areas


name: Population structure - functional urban areas


Perception survey results

dimensions_codes_order: FREQ unit indic_ur cities

DE023C: Darmstadt

DE025C: Freiburg im Breisgau

DE027C: Frankfurt (Oder)

DE031C: Augsburg

DE033C: Karlsruhe

DE037C: Saarbrücken

DE039C: Koblenz

DE040C: Rostock

DE041C: Kaiserslautern

DE051C: Konstanz

DE081C: Mannheim

DE083C: Münster

DE085C: Braunschweig

DE086C: Aachen

DE088C: Oberhausen

DE091C: Kassel

DE095C: Osnabrück

DE102C: Würzburg

DE103C: Recklinghausen

DE104C: Wolfsburg

DE112C: Ingolstadt

DE116C: Fürth

DE122C: Zwickau

DK001C: København

DK004C: Aalborg

EE001C: Tallinn

EE002C: Tartu

EE003C: Narva

EL001C: Athina

EL004C: Irakleio

ES001C: Madrid

ES002C: Barcelona

ES006C: Málaga

ES013C: Oviedo

FI001C: Helsinki/Helsingfors

FI004C: Oulu/Uleåborg

FR001C: Paris

FR004C: Marseille

FR005C: Bordeaux

FR009C: Strasbourg

FR016C: Rennes

HR001C: Zagreb

HU001C: Budapest

HU002C: Miskolc

IE001C: Dublin

IS001C: Reykjavík

IT001C: Roma

IT003C: Napoli

IT004C: Torino

IT005C: Palermo

IT009C: Bologna

IT012C: Verona

LT001C: Vilnius

LU001C: Luxembourg

LV001C: Riga

LV002C: Liepaja

LV003C: Jelgava

LV004C: Daugavpils

LV005C: Jurmala

LV006C: Ventspils

LV007C: Rezekne

LV008C: Valmiera

LV009C: Jekabpils

MT001C: Greater Valletta

NL001C: Amsterdam

NL018C: Groningen

PS1012V: Public transport in the city, for example bus, tram or metro: very satisfied

PS1013V: Public transport in the city, for example bus, tram or metro: rather satisfied

PS1014V: Public transport in the city, for example bus, tram or metro: rather unsatisfied

PS1015V: Public transport in the city, for example bus, tram or metro: not at all satisfied

PS1016V: Public transport in the city, for example bus, tram or metro: don't know / no answer

PS1025V: Schools in the city: not at all satisfied

PS1026V: Schools in the city: don't know / no answer

PS1032V: Health care services offered by hospitals in the city: very satisfied

PS1033V: Health care services offered by hospitals in the city: rather satisfied

PS1034V: Health care services offered by hospitals in the city: rather unsatisfied

PS1035V: Health care services offered by hospitals in the city: not at all satisfied

PS1036V: Health care services offered by hospitals in the city: don't know / no answer

PS1042V: Health care services offered by doctors in the city: very satisfied

PS1043V: Health care services offered by doctors in the city: rather satisfied

PS1044V: Health care services offered by doctors in the city: rather unsatisfied

PS1045V: Health care services offered by doctors in the city: not at all satisfied

PS1046V: Health care services offered by doctors in the city: don't know / no answer

PS1052V: Green spaces such as public parcs or gardens: very satisfied

PS1053V: Green spaces such as public parcs or gardens: rather satisfied

PS1054V: Green spaces such as public parcs or gardens: rather unsatisfied

PS1055V: Green spaces such as public parcs or gardens: not at all satisfied

PS1056V: Green spaces such as public parcs or gardens: don't know / no answer

PS1062V: Sports facilities such as sport fields and indoor sport halls in the city: very satisfied

PS1063V: Sports facilities such as sport fields and indoor sport halls in the city: rather satisfied

PS1064V: Sports facilities such as sport fields and indoor sport halls in the city: rather unsatisfied

PS1065V: Sports facilities such as sport fields and indoor sport halls in the city: not at all satisfied

PS1066V: Sports facilities such as sport fields and indoor sport halls in the city: don't know / no answer

PS1075V: Cinemas in the city: not at all satisfied

PS1076V: Cinemas in the city: don't know / no answer

PS1082V: Cultural facilities such as concert halls, theatres, museums and libraries in the city: very satisfied

PS1083V: Cultural facilities such as concert halls, theatres, museums and libraries in the city: rather satisfied

PS1084V: Cultural facilities such as concert halls, theatres, museums and libraries in the city: rather unsatisfied

PS1085V: Cultural facilities such as concert halls, theatres, museums and libraries in the city: not at all satisfied

PS1086V: Cultural facilities such as concert halls, theatres, museums and libraries in the city: don't know / no answer

PS1092V: Public Internet access such as internet cafes or libraries in the city: very satisfied

PS1093V: Public Internet access such as internet cafes or libraries in the city: rather satisfied

PS1094V: Public Internet access such as internet cafes or libraries in the city: rather unsatisfied

PS1095V: Public Internet access such as internet cafes or libraries in the city: not at all satisfied

PS1096V: Public Internet access such as internet cafes or libraries in the city: don't know / no answer

PS1102V: Internet access at home in the city: very satisfied

PS1103V: Internet access at home in the city: rather satisfied

PS1104V: Internet access at home in the city: rather unsatisfied

PS1105V: Internet access at home in the city: not at all satisfied

PS1106V: Internet access at home in the city: don't know / no answer

PS1501V: Schools and other educational facilities: very satisfied

PS1502V: Schools and other educational facilities: rather satisfied

PS1503V: Schools and other educational facilities: rather unsatisfied

PS1504V: Schools and other educational facilities: very unsatisfied

PS1505V: Schools and other educational facilities: don't know / no answer / refuses

PS1506V: Health care services, doctors and hospitals: very satisfied

PS1507V: Health care services, doctors and hospitals: rather satisfied

PS1508V: Health care services, doctors and hospitals: rather unsatisfied

PS1509V: Health care services, doctors and hospitals: very unsatisfied

PS1510V: Health care services, doctors and hospitals: don't know / no answer / refuses

PS2012V: In this city it is easy to find a good job: strongly agree

PS2013V: In this city it is easy to find a good job: somewhat agree

PS2014V: In this city it is easy to find a good job: somewhat disagree

PS2015V: In this city it is easy to find a good job: strongly disagree

PS2016V: In this city it is easy to find a good job: don't know / no answer

PS2022V: Foreigners who live in this city are well integrated: strongly agree

PS2023V: Foreigners who live in this city are well integrated: somewhat agree

PS2024V: Foreigners who live in this city are well integrated: somewhat disagree

PS2025V: Foreigners who live in this city are well integrated: strongly disagree

PS2026V: Foreigners who live in this city are well integrated: don't know / no answer

PS2032V: In this city, it is easy to find good housing at a reasonable price: strongly agree

PS2033V: In this city, it is easy to find good housing at a reasonable price: somewhat agree

PS2034V: In this city, it is easy to find good housing at a reasonable price: somewhat disagree

PS2035V: In this city, it is easy to find good housing at a reasonable price: strongly disagree

PS2036V: In this city, it is easy to find good housing at a reasonable price: don't know / no answer

PS2042V: When you contact administrative services of this city, they help you efficiently: strongly agree

PS2043V: When you contact administrative services of this city, they help you efficiently: somewhat agree

PS2044V: When you contact administrative services of this city, they help you efficiently: somewhat disagree

PS2045V: When you contact administrative services of this city, they help you efficiently: strongly disagree

PS2046V: When you contact administrative services of this city, they help you efficiently: don't know / no answer

PS2052V: In this city, air pollution is a big problem: strongly agree

PS2053V: In this city, air pollution is a big problem: somewhat agree

PS2054V: In this city, air pollution is a big problem: somewhat disagree

PS2055V: In this city, air pollution is a big problem: strongly disagree

PS2056V: In this city, air pollution is a big problem: don't know / no answer

PS2062V: In this city, noise is a big problem: strongly agree

PS2063V: In this city, noise is a big problem: somewhat agree

PS2064V: In this city, noise is a big problem: somewhat disagree

PS2065V: In this city, noise is a big problem: strongly disagree

PS2066V: In this city, noise is a big problem: don't know / no answer

PS2072V: this city is a clean city: strongly agree

PS2073V: this city is a clean city: somewhat agree

PS2074V: this city is a clean city: somewhat disagree

PS2075V: this city is a clean city: strongly disagree

PS2076V: this city is a clean city: don't know / no answer

PS2082V: This city spends its resources in a responsible way: strongly agree

PS2083V: This city spends its resources in a responsible way: somewhat agree

PS2084V: This city spends its resources in a responsible way: somewhat disagree

PS2085V: This city spends its resources in a responsible way: strongly disagree

PS2086V: This city spends its resources in a responsible way: don't know / no answer

PS2092V: You are satisfied to live in this city: strongly agree

PS2093V: You are satisfied to live in this city: somewhat agree

PS2094V: You are satisfied to live in this city: somewhat disagree

PS2095V: You are satisfied to live in this city: strongly disagree

PS2096V: You are satisfied to live in this city: don't know / no answer

PS2102V: In the next five years, it will be more pleasant to live in this city: strongly agree

PS2103V: In the next five years, it will be more pleasant to live in this city: somewhat agree

PS2104V: In the next five years, it will be more pleasant to live in this city: somewhat disagree

PS2105V: In the next five years, it will be more pleasant to live in this city: strongly disagree

PS2106V: In the next five years, it will be more pleasant to live in this city: don't know / no answer

PS3014V: You have difficulty paying your bills at the end of the month: rarely or never

PS3024V: You feel safe in the neighborhood you live in: rarely or never

PS3042V: Health care services offered by doctors and hospitals in this city: very satisfied

PS3043V: Health care services offered by doctors and hospitals in this city: rather satisfied

PS3044V: Health care services offered by doctors and hospitals in this city: rather unsatisfied

PS3045V: Health care services offered by doctors and hospitals in this city: not at all satisfied

PS3046V: Health care services offered by doctors and hospitals in this city: don't know / no answer

PS3052V: The beauty of streets and buildings in your neighborhood: very satisfied

PS3053V: The beauty of streets and buildings in your neighborhood: rather satisfied

PS3054V: The beauty of streets and buildings in your neighborhood: rather unsatisfied

PS3055V: The beauty of streets and buildings in your neighborhood: not at all satisfied

PS3056V: The beauty of streets and buildings in your neighborhood: don't know / no answer

PS3062V: Public spaces in this city such as markets, squares, pedestrian areas: very satisfied

PS3063V: Public spaces in this city such as markets, squares, pedestrian areas: rather satisfied

PS3064V: Public spaces in this city such as markets, squares, pedestrian areas: rather unsatisfied

PS3065V: Public spaces in this city such as markets, squares, pedestrian areas: not at all satisfied

PS3066V: Public spaces in this city such as markets, squares, pedestrian areas: don't know / no answer4

PS3072V: Outdoor recreation outside / around this city, such as walking, cycling or picnicking : very satisfied

PS3073V: Outdoor recreation outside / around this city, such as walking, cycling or picnicking : rather satisfied

PS3074V: Outdoor recreation outside / around this city, such as walking, cycling or picnicking : rather unsatisfied

PS3075V: Outdoor recreation outside / around this city, such as walking, cycling or picnicking : not at all satisfied

PS3076V: Outdoor recreation outside / around this city, such as walking, cycling or picnicking : don't know / no answer

PS3082V: The presence of foreigners is good for this city: strongly agree

PS3083V: The presence of foreigners is good for this city: somewhat agree

PS3084V: The presence of foreigners is good for this city: somewhat disagree

PS3085V: The presence of foreigners is good for this city: strongly disagree

PS3086V: The presence of foreigners is good for this city: don't know / no answer

PS3092V: Generally speaking, most people in this city can be trusted: strongly agree

PS3093V: Generally speaking, most people in this city can be trusted: somewhat agree

PS3094V: Generally speaking, most people in this city can be trusted: somewhat disagree

PS3095V: Generally speaking, most people in this city can be trusted: strongly disagree

PS3096V: Generally speaking, most people in this city can be trusted: don't know / no answer

PS3112V: In this city, poverty is a problem: strongly agree

PS3113V: In this city, poverty is a problem: somewhat agree

PS3114V: In this city, poverty is a problem: somewhat disagree

PS3115V: In this city, poverty is a problem: strongly disagree

PS3116V: In this city, poverty is a problem: don't know / no answer

PS3122V: This city is committed to the fight against climate change (e.g; reducing energy consumption in housing or promoting alternatives to transport by car): strongly agree

PS3123V: This city is committed to the fight against climate change (e.g; reducing energy consumption in housing or promoting alternatives to transport by car): somewhat agree

PS3124V: This city is committed to the fight against climate change (e.g; reducing energy consumption in housing or promoting alternatives to transport by car): somewhat disagree

PS3125V: This city is committed to the fight against climate change (e.g; reducing energy consumption in housing or promoting alternatives to transport by car): strongly disagree

PS3126V: This city is committed to the fight against climate change (e.g; reducing energy consumption in housing or promoting alternatives to transport by car): don't know / no answer

PS3132V: This city is a healthy city to live in: strongly agree

PS3133V: This city is a healthy city to live in: somewhat agree

PS3134V: This city is a healthy city to live in: somewhat disagree

PS3135V: This city is a healthy city to live in: strongly disagree

PS3136V: This city is a healthy city to live in: don't know / no answer

PS3142V: You have difficulty paying your bills at the end of the month: always

PS3143V: You have difficulty paying your bills at the end of the month: sometimes

PS3144V: You have difficulty paying your bills at the end of the month: rarely

PS3145V: You have difficulty paying your bills at the end of the month: never

PS3146V: You have difficulty paying your bills at the end of the month: don't know / no answer

PS3151V: Minutes per day spent travelling to work/training place: less than 10 minutes

PS3152V: Minutes per day spent travelling to work/training place: 10-20 minutes

PS3153V: Minutes per day spent travelling to work/training place: 20-30 minutes

PS3154V: Minutes per day spent travelling to work/training place: 30-45 minuts

PS3155V: Minutes per day spent travelling to work/training place: 45-60 minutes

PS3156V: Minutes per day spent travelling to work/training place: more than 60 minutes

PS3157V: Minutes per day spent travelling to work/training place: does not cummute, work from home

PS3158V: Minutes per day spent travelling to work or training place: No work or training

PS3159V: Minutes per day spent travelling to work/training place: don't know / no answer

PS3161V: Means of transport primarily used to go to work/training place: public transport

PS3162V: Means of transport primarily used to go to work/training place: car

PS3163V: Means of transport primarily used to go to work/training place: bicycle

PS3164V: Means of transport primarily used to go to work/training place: walking

PS3165V: Means of transport primarily used to go to work/training place: motorcycle

PS3166V: Means of transport primarily used to go to work/training place: other

PS3167V: Means of transport primarily used to go to work/training place: don't know / no answer

PS3168V: Means of transport primarily used to go to work/training place: train

PS3169V: Means of transport primarily used to go to work/training place: ship or boat

PS3170V: Means of transport primarily used to go to work/training place: none

PS3171V: How often do you use public transport in this city?: never

PS3172V: How often do you use public transport in this city?: less than once a month

PS3173V: How often do you use public transport in this city?: more than once a month

PS3174V: How often do you use public transport in this city?: at least once a week, but not every day

PS3175V: How often do you use public transport in this city?: every day

PS3176V: How often do you use public transport in this city?: don't know / no answer

PS3181V: Why don't you use public transport?: not frequent enough

PS3182V: Why don't you use public transport?: too congested

PS3183V: Why don't you use public transport?: time schedule is not reliable

PS3184V: Why don't you use public transport?: not adapted to my itinerary

PS3185V: Why don't you use public transport? Not easy to access

PS3186V: Why don't you use public transport? Not safe

PS3187V: Why don't you use public transport?: I do not like public transport

PS3188V: Why don't you use public transport?: too expensive

PS3189V: Why don't you use public transport?: other

PS3191V: Why don't you use public transport?: don't know / no answer

PS3212V: Most important in my city: air pollution

PS3214V: Most important in my city: public transport

PS3215V: Most important in my city: health services

PS3216V: Most important in my city: social services

PS3217V: Most important in my city: education and training

PS3221V: Most important in my city: jobs creation / reduce unemployment

PS3222V: Most important in my city: housing conditions

PS3223V: Most important in my city: road infrastructure

PS3224V: Most important in my city: don't know / no answer

PS3230V: State of streets and buildings in my neighbourhood: very satisfied

PS3231V: State of streets and buildings in my neighbourhood: rather satisfied

PS3232V: State of streets and buildings in my neighbourhood: rather unsatisfied

PS3233V: State of streets and buildings in my neighbourhood: not at all satisfied

PS3234V: State of streets and buildings in my neighbourhood: don't know / no answer

PS3250V: Availability of retail shops: very satisfied

PS3251V: Availability of retail shops: rather satisfied

PS3252V: Availability of retail shops: rather unsatisfied

PS3253V: Availability of retail shops: not at all satisfied

PS3254V: Availability of retail shops: don't know / no answer

PS3260V: The quality of the air in the city: very satisfied

PS3261V: The quality of the air in the city: rather satisfied

PS3262V: The quality of the air in the city: rather unsatisfied

PS3263V: The quality of the air in the city: not at all satisfied

PS3264V: The quality of the air in the city: don't know / no answer

PS3270V: The noise level in the city: very satisfied

PS3271V: The noise level in the city: rather satisfied

PS3272V: The noise level in the city: rather unsatisfied

PS3273V: The noise level in the city: not at all satisfied

PS3274V: The noise level in the city: don't know / no answer

PS3280V: The cleanliness in the city: very satisfied

PS3281V: The cleanliness in the city: rather satisfied

PS3282V: The cleanliness in the city: rather unsatisfied

PS3283V: The cleanliness in the city: not at all satisfied

PS3284V: The cleanliness in the city: don't know / no answer

PS3290V: You feel safe in this city: strongly agree

PS3291V: You feel safe in this city: somewhat agree

PS3292V: You feel safe in this city: somewhat disagree

PS3293V: You feel safe in this city: strongly disagree

PS3294V: You feel safe in this city: don't know / no answer

PS3300V: You feel safe in the neighborhood you live in: strongly agree

PS3301V: You feel safe in the neighborhood you live in: somewhat agree

PS3302V: You feel safe in the neighborhood you live in: somewhat disagree

PS3303V: You feel safe in the neighborhood you live in: strongly disagree

PS3304V: You feel safe in the neighborhood you live in: don't know / no answer

PS3310V: Most people in my neighbourhood can be trusted: strongly agree

PS3311V: Most people in my neighbourhood can be trusted: somewhat agree

PS3312V: Most people in my neighbourhood can be trusted: somewhat disagree

PS3313V: Most people in my neighbourhood can be trusted: strongly disagree

PS3314V: Most people in my neighbourhood can be trusted: don't know / no answer

PS3320V: The public administration of the city can be trusted: strongly agree

PS3321V: The public administration of the city can be trusted: somewhat agree

PS3322V: The public administration of the city can be trusted: somewhat disagree

PS3323V: The public administration of the city can be trusted: strongly disagree

PS3324V: The public administration of the city can be trusted: don't know / no answer

PS3330V: Your personal job situation: very satisfied

PS3331V: Your personal job situation: fairly satisfied

PS3332V: Your personal job situation: not very satisfied

PS3333V: Your personal job situation: not at all satisfied

PS3334V: Your personal job situation: don't know / no answer

PS3335V: Your personal job situation: not applicable

PS3340V: The financial situation of your household: very satisfied

PS3341V: The financial situation of your household: fairly satisfied

PS3342V: The financial situation of your household: not very satisfied

PS3343V: The financial situation of your household: not at all satisfied

PS3344V: The financial situation of your household: don't know / no answer

PS3354V: The life you lead: don't know / no answer

PS3360V: I'm satisfied to live in this city: strongly agree

PS3361V: I'm satisfied to live in this city: somewhat agree

PS3362V: I'm satisfied to live in this city: somewhat disagree

PS3363V: I'm satisfied to live in this city: strongly disagree

PS3364V: I'm satisfied to live in this city: don't know / no answer

PS3501V: Within the last 12 months, would you say you had difficulties to pay your bills at the end of the month: Most of the time

PS3502V: Within the last 12 months, would you say you had difficulties to pay your bills at the end of the month: From time to time

PS3503V: Within the last 12 months, would you say you had difficulties to pay your bills at the end of the month: Almost never/never

PS3504V: Within the last 12 months, would you say you had difficulties to pay your bills at the end of the month: Don't know/No Answer/Refuses

PS3506V: Means of transport most often used: motorcycle

PS3507V: Means of transport most often used: bicycle

PS3508V: Means of transport most often used: foot

PS3509V: Means of transport most often used: train

PS3510V: Means of transport most often used: urban public transport

PS3511V: Means of transport most often used: other

PS3512V: Means of transport most often used: do not commute

PS3513V: Means of transport most often used: don't know / no answer / refuses

PS3514V: I feel safe walking alone at night in my city: strongly agree

PS3515V: I feel safe walking alone at night in my city: somewhat agree

PS3516V: I feel safe walking alone at night in my city: somewhat disagree

PS3517V: I feel safe walking alone at night in my city: strongly disagree

PS3518V: I feel safe walking alone at night in my city: don't know / no answer / refuses

PS3519V: I feel safe walking alone at night in my neighbourhood: strongly agree

PS3520V: I feel safe walking alone at night in my neighbourhood: somewhat agree

PS3521V: I feel safe walking alone at night in my neighbourhood: somewhat disagree

PS3522V: I feel safe walking alone at night in my neighbourhood: strongly disagree

PS3523V: I feel safe walking alone at night in my neighbourhood: don't know / no answer / refuses

PS3524V: The neighbourhood where you live: very satisfied

PS3525V: The neighbourhood where you live: fairly satisfied

PS3526V: The neighbourhood where you live: not very satisfied

PS3527V: The neighbourhood where you live: not at all satisfied

PS3528V: The neighbourhood where you live: don't know / no answer

PS3529V: For people in general: a good place to live

PS3530V: For people in general: not a good place to live

PS3531V: For people in general: don’t know/no answer/refuses

PS3532V: For racial and ethnic minorities: a good place to live

PS3533V: For racial and ethnic minorities: not a good place to live

PS3534V: For racial and ethnic minorities: don’t know/no answer/refuses

PS3535V: For gay or lesbian people: a good place to live

PS3536V: For gay or lesbian people: not a good place to live

PS3537V: For gay or lesbian people: don’t know/no answer/refuses

PS3538V: For immigrants from other countries: a good place to live

PS3539V: For immigrants from other countries: not a good place to live

PS3540V: For immigrants from other countries: don’t know/no answer/refuses

PS3541V: For young families with children: a good place to live

PS3542V: For young families with children: not a good place to live

PS3543V: For young families with children: don’t know/no answer/refuses

PS3544V: For elderly people: a good place to live

PS3545V: For elderly people: not a good place to live

PS3546V: For elderly people: don’t know/no answer/refuses

PS3547V: Public transport Affordable: strongly agree

PS3548V: Public transport Affordable: somewhat agree

PS3549V: Public transport Affordable: somewhat disagree

PS3550V: Public transport Affordable: strongly disagree

PS3551V: Public transport Affordable: don't know / no answer / refuses

PS3554V: Public transport Safe: somewhat disagree

PS3555V: Public transport Safe: strongly disagree

PS3556V: Public transport Safe: don't know / no answer / refuses

PS3557V: Public transport Easy to get: strongly agree

PS3558V: Public transport Easy to get: somewhat agree

PS3559V: Public transport Easy to get: somewhat disagree

PS3560V: Public transport Easy to get: strongly disagree

PS3561V: Public transport Easy to get: don't know / no answer / refuses

PS3562V: Public transport Frequent (comes often): strongly agree

PS3563V: Public transport Frequent (comes often): somewhat agree

PS3564V: Public transport Frequent (comes often): somewhat disagree

PS3565V: Public transport Frequent (comes often): strongly disagree

PS3566V: Public transport Frequent (comes often): don't know / no answer / refuses

PS3567V: Public transport Reliable (comes when it says it will): strongly agree

PS3568V: Public transport Reliable (comes when it says it will): somewhat agree

PS3569V: Public transport Reliable (comes when it says it will): somewhat disagree

PS3570V: Public transport Reliable (comes when it says it will): strongly disagree

PS3571V: Public transport Reliable (comes when it says it will): don't know / no answer / refuses

PS3572V: Confidence in the local police force: yes

PS3573V: Confidence in the local police force: no

PS3574V: Confidence in the local police force: don't know / no answer / refuses

PS3575V: Money or property stolen from you or another household member in your city the last 12 months: yes

PS3576V: Money or property stolen from you or another household member in your city the last 12 months: no

PS3577V: Money or property stolen from you or another household member in your city the last 12 months: don't know / no answer / refuses

PS3578V: Being assaulted or mugged in your city the last 12 months: yes

PS3579V: Being assaulted or mugged in your city the last 12 months: no

PS3580V: Being assaulted or mugged in your city the last 12 months: don't know / no answer / refuses

PS3581V: if you needed material help (e.g. money, loan or an object) you could receive it from relatives, friends, neighbours or other persons you know: yes

PS3582V: if you needed material help (e.g. money, loan or an object) you could receive it from relatives, friends, neighbours or other persons you know: no

PS3583V: if you needed material help (e.g. money, loan or an object) you could receive it from relatives, friends, neighbours or other persons you know: don't know / no answer / refuses

PS3584V: if you needed non material help (e.g. somebody to talk to, help with doing something or collecting something) you could receive it from relatives, friends, neighbours or other persons you know: yes

PS3585V: if you needed non material help (e.g. somebody to talk to, help with doing something or collecting something) you could receive it from relatives, friends, neighbours or other persons you know: no

PS3586V: if you needed non material help (e.g. somebody to talk to, help with doing something or collecting something) you could receive it from relatives, friends, neighbours or other persons you know: don't know / no answer / refuses

PS3587V: I am satisfied with the amount of time it takes to get a request solved by my local public administration: strongly agree

PS3588V: I am satisfied with the amount of time it takes to get a request solved by my local public administration: somewhat agree

PS3589V: I am satisfied with the amount of time it takes to get a request solved by my local public administration: somewhat disagree

PS3590V: I am satisfied with the amount of time it takes to get a request solved by my local public administration: strongly disagree

PS3591V: I am satisfied with the amount of time it takes to get a request solved by my local public administration: don't know / no answer / refuses

PS3592V: The procedures used by my local public administration are straightforward and easy to understand: strongly agree

PS3593V: The procedures used by my local public administration are straightforward and easy to understand: somewhat agree

PS3594V: The procedures used by my local public administration are straightforward and easy to understand: somewhat disagree

PS3595V: The procedures used by my local public administration are straightforward and easy to understand: strongly disagree

PS3596V: The procedures used by my local public administration are straightforward and easy to understand: don't know / no answer / refuses

PS3601V: The fees charged by my local public administration are reasonable: strongly agree

PS3602V: The fees charged by my local public administration are reasonable: somewhat agree

PS3603V: The fees charged by my local public administration are reasonable: somewhat disagree

PS3604V: The fees charged by my local public administration are reasonable: strongly disagree

PS3605V: The fees charged by my local public administration are reasonable: don't know / no answer / refuses

PS3606V: Information and services of my local public administration can be easily accessed online: strongly agree

PS3607V: Information and services of my local public administration can be easily accessed online: somewhat agree

PS3608V: Information and services of my local public administration can be easily accessed online: somewhat disagree

PS3609V: Information and services of my local public administration can be easily accessed online: strongly disagree

PS3610V: Information and services of my local public administration can be easily accessed online: don't know / no answer / refuses

PS3611V: There is corruption in my local public administration: strongly agree

PS3612V: There is corruption in my local public administration: somewhat agree

PS3613V: There is corruption in my local public administration: somewhat disagree

PS3614V: There is corruption in my local public administration: strongly disagree

PS3615V: There is corruption in my local public administration: don't know / no answer / refuses

PS3616V: Compared to five years ago quality of life in your city or area has: decreased

PS3617V: Compared to five years ago quality of life in your city or area has: stayed the same

PS3618V: Compared to five years ago quality of life in your city or area has: increased

PS3619V: Compared to five years ago quality of life in your city or area has: don't know / no answer / refuses

PS3622V: How is your health: fair (neither good or bad)

PS3625V: How is your health: don't know / no answer / refuses

PS9112V: Public transport in the city, for example bus, tram or metro: satisfied

PS9182V: Cultural facilities such as concert halls, theatres, museums and libraries in the city: satisfied

PS9222V: Foreigners who live in this city are well integrated: agree

PS9232V: In this city, it is easy to find good housing at a reasonable price: agree

PS9242V: When you contact administrative services of this city, they help you efficiently: agree

PS9292V: You are satisfied to live in this city: agree

PS9322V: This city is committed to the fight against climate change (e.g., reducing energy consumption in housing or promoting alternatives to transport by car): agree

PS9340V: The financial situation of your household: satisfied

PS9342V: Health care services offered by doctors and hospitals in this city: satisfied

PS9382V: The presence of foreigners is good for this city: agree

PS9392V: Generally speaking, most people in this city can be trusted: agree


dimensions_codes_order: FREQ unit wstatus nace_r2 terrtypo geo

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

terrtypo: Territorial typology

wstatus: Activity and employment status

[A] Agriculture, forestry and fishing

B-E: Industry (except construction)

C: Manufacturing

F: Construction

G-I: Wholesale and retail trade, transport, accommodation and food service activities

G-J: Wholesale and retail trade; transport; accommodation and food service activities; information and communication

J: Information and communication

K: Financial and insurance activities

K-N: Financial and insurance activities; real estate activities; professional, scientific and technical activities; administrative and support service activities

L: Real estate activities

M_N: Professional, scientific and technical activities; administrative and support service activities

O-Q: Public administration, defence, education, human health and social work activities

O-U: Public administration and defence; compulsory social security; education; human health and social work activities; arts, entertainment and recreation, repair of household goods and other services

R-U: Arts, entertainment and recreation; other service activities; activities of household and extra-territorial organizations and bodies

TOTAL: Total - all NACE activities

BRD_R: Border regions

CST_R: Coastal regions

INT: Intermediate regions

INT_CTC: Intermediate regions - close to city

INT_RMT: Intermediate regions - remote

ISL_R: Island regions

MNT_R: Mountain regions

NBRD_R: Non-border regions

NCST_R: Non-coastal regions

NISL_R: Non-island regions

NMNT_R: Non-mountain regions

RUR: Predominantly rural regions

RUR_CTC: Predominantly rural regions - close to city

RUR_RMT: Predominantly rural regions - remote

URB: Predominantly urban regions

THS: Thousand

EMP: Employed persons

SAL: Employees

name: Employment by NACE Rev. 2 activity and other typologies


dimensions_codes_order: FREQ unit terrtypo geo

AL: Albania

EUR_HAB: Euro per inhabitant

EUR_HAB_EU27_2020: Euro per inhabitant in percentage of the EU27 (from 2020) average

MIO_EUR: Million euro

MIO_NAC: Million units of national currency

MIO_PPS_EU27_2020: Million purchasing power standards (PPS, EU27 from 2020)

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

name: Gross domestic product (GDP) at current market prices by other typologies


dimensions_codes_order: FREQ currency nace_r2 terrtypo geo

currency: Currency

name: Gross value added at basic prices by other typologies


name: Average annual population to calculate regional GDP data by other typologies


dimensions_codes_order: FREQ unit terrtypo indic_sb nace_r2 geo

indic_sb: Economical indicator for structural business statistics

V11910: Population of active enterprises in t - number

V11920: Births of enterprises in t - number

V11930: Deaths of enterprises in t - number

V11943: Enterprises newly born in t-3 having survived to t - number

V16910: Persons employed in the population of active enterprises in t - number

V16911: Employees in the population of active enterprises in t - number

V16920: Persons employed in the population of births in t - number

V16921: Employees in the population of births in t - number

V16930: Persons employed in the population of deaths in t - number

V16931: Employees in the population of deaths in t - number

V16943: Persons employed in the population of enterprises newly born in t-3 having survived to t - number

V16953: Persons employed in the year of birth in the population of enterprises newly born in t-3 having survived to t - number

V97010: Net business population growth - percentage

V97015: Business churn: birth rate + death rate - percentage

V97020: Birth rate: number of enterprise births in the reference period (t) divided by the number of enterprises active in t - percentage

V97030: Death rate: number of enterprise deaths in the reference period (t) divided by the number of enterprises active in t - percentage

V97043: Survival rate 3: number of enterprises in the reference period (t) newly born in t-3 having survived to t divided by the number of enterprise births in t-3 - percentage

V97053: 3 year old enterprises' share of the business population - percentage

V97120: Employment share of enterprise births: number of persons employed in the reference period (t) among enterprises newly born in t divided by the number of persons employed in t among the stock of enterprises active in t - percentage

V97121: Average size of newly born enterprises: number of persons employed in the reference period (t) among enterprises newly born in t divided by the number of enterprises newly born in t - number

V97122: New enterprise paid employment rate: number of employees in the reference period (t) among enterprises newly born in t divided by the number of persons employed in t among enterprises newly born in t - percentage

V97130: Employment share of enterprise deaths: number of persons employed in the reference period (t) among enterprise deaths divided by the number of persons employed in t among the stock of active enterprises in t - percentage

V97131: Average employment in enterprise deaths: number of persons employed in the reference period (t) among enterprise deaths  in t divided by the number of enterprise deaths in t - number

V97143: Three-year old enterprises employment growth rate: number of persons employed in the reference period (t) among enterprises newly born in t-3 having survived to t divided by the number of persons employed in t-3 by the same enterprises, expressed as a percentage growth rate - percentage

V97153: Employment share of 3 year old enterprises: Number of persons employed in enterprises newly born in t-3 having survived to t, divided by the number of persons employed in the population of active enterprises in t - percentage

B-S_X_K642: Industry, construction and services except insurance activities of holding companies

G: Wholesale and retail trade; repair of motor vehicles and motorcycles

[H] Transportation and storage

I: Accommodation and food service activities

K_L_X_K642: Financial and insurance activities; real estate activities except activities of holding companies

P_Q: Education; human health and social work activities

R_S: Arts, entertainment and recreation; other service activities

NR: Number

name: Employer business demography by NACE Rev. 2 activity and other typologies


dimensions_codes_order: FREQ unit nace_r2 sizeclas terrtypo indic_sb geo

sizeclas: Size classes in number of employees

V97021: Proportion of enterprise births in the reference period (t) by size class - percentage

V97031: Proportion of enterprise deaths in the reference period (t) by size class - percentage

V97163: Average size of three-year old enterprises: number of persons employed in the reference period (t) among enterprises newly born in t-3 having survived to t divided by the number of enterprises in t newly born in t-3 having survived to t - number

Zero

From 1 to 9 employees

GE10: 10 employees or more

name: Employer business demography by size class and other typologies


V11960: High growth enterprises measured in employment (growth by 10% or more) - number

V97460: Share of high growth enterprises measured in employment: number of high growth enterprises divided by the number of active enterprises with at least 10 employees - percentage

name: Business demography and high growth enterprise by NACE Rev. 2 activity and other typologies


name: Business demography by size class and other typologies


Live births (total) by other typologies

LI: Liechtenstein


dimensions_codes_order: FREQ unit terrtypo iccs geo

iccs: International classification of crime for statistical purposes (ICCS)

ICCS0101: Intentional homicide

ICCS0401: Robbery

ICCS05012: Burglary of private residential premises

ICCS050211: Theft of a motorized land vehicle

name: Crimes recorded by the police by other typologies


Area of the regions by other typologies

dimensions_codes_order: FREQ unit landuse terrtypo geo

landuse: Land use

L0008: Land area - Total

TOTAL: Total area

KM2: Square kilometre


Population density by other typologies

dimensions_codes_order: freq terrtypo geo


Deaths (total) by other typologies

dimensions_codes_order: freq unit terrtypo geo


dimensions_codes_order: FREQ age unit sex isced11 terrtypo geo

Y25-64: From 25 to 64 years

ED3-8: Upper secondary, post-secondary non-tertiary and tertiary education (levels 3-8)

PC: Percentage

name: Population aged 25-64 by educational attainment level, sex and other typologies


dimensions_codes_order: FREQ indic_de terrtypo geo

indic_de: Demographic indicator

CNMIGRAT: Net migration plus statistical adjustment

CNMIGRATRT: Crude rate of net migration plus statistical adjustment

DEATH: Deaths - total

GBIRTHRT: Crude birth rate

GDEATHRT: Crude death rate

GROW: Total population change

GROWRT: Crude rate of total population change

JAN: Population on 1 January - total

LBIRTH: Live births - total

NATGROW: Natural change of population

NATGROWRT: Crude rate of natural change of population

name: Demographic balance and crude rates by other typologies


name: Community design (CD) applications by other typologies


EUR_BGDP: Euro per billion GDP

PPS_BGDP: Purchasing power standard (PPS) per billion GDP

name: Community design (CD) applications per billion GDP by other typologies


P_MHAB: Per million inhabitants

name: Community design (CD) applications per million population by other typologies


name: Community designs (CD) by other typologies


name: Community designs (CD) per billion GDP by other typologies


name: Community designs (CD) per million population by other typologies


name: Registered Community designs (RCD) by other typologies


name: European Union trade mark (EUTM) applications by other typologies


name: European Union trade mark (EUTM) applications per billion GDP by other typologies


name: European Union trade mark (EUTM) applications per million population by other typologies


TR: Turkey

name: European Union trade mark (EUTM) registrations by other typologies


dimensions_codes_order: FREQ unit sex age terrtypo geo

Y15-64: From 15 to 64 years

name: Employment by sex, age and other typologies


name: Employment rates by sex, age and other typologies


dimensions_codes_order: FREQ unit age sex terrtypo geo

Y_GE15: 15 years or over

Y_GE25: 25 years or over

name: Economically active population by sex, age and other typologies


name: Population by sex, age and other typologies


name: Unemployment by sex, age and other typologies


name: Unemployment rates by sex, age and other typologies


dimensions_codes_order: FREQ unit ipc terrtypo geo

ipc: International patent classification (IPC)

BIO: Biotechnology sector - total

name: Biotechnology patent applications to the EPO by priority year and other typologies


COE: Consumer electronics

COM: Computers, office machinery

ICT: Information and communication technology (ICT) - total

ICT_OTH: Other ICT

TEL: Telecommunications

name: ICT patent applications to the EPO by priority year and other typologies


[A] Section A - Human necessities

A01: Agriculture; forestry; animal husbandry; hunting; trapping; fishing

A21: Baking; equipment for making or processing doughs; doughs for baking

A22: Butchering; meat treatment; processing poultry or fish

A23: Foods or foodstuffs; their treatment, not covered by other classes

A24: Tobacco; cigars; cigarettes; smokers' requisites

A41: Wearing apparel

A42: Headwear

A43: Footwear

A44: Haberdashery; jewellery

A45: Hand or travelling articles

A46: Brushware

A47: Furniture; domestic articles or appliances; coffee mills; spice mills; suction cleaners in general

A61: Medical or veterinary science; hygiene

A62: Life-saving; fire-fighting

A63: Sports; games; amusements

B: Section B - Performing operations; transporting

B01: Physical or chemical processes or apparatus in general

B02: Crushing, pulverising, or disintegrating; preparatory treatment of grain for milling

B03: Separation of solid materials using liquids or using pneumatic tables or jigs; magnetic or electrostatic separation of solid materials from solid materials or fluids; separation by high-voltage electric fields

B04: Centrifugal apparatus or machines for carrying-out physical or chemical processes

B05: Spraying or atomising in general; applying liquids or other fluent materials to surfaces, in general

B06: Generating or transmitting mechanical vibrations in general

B07: Separating solids from solids; sorting

B08: Cleaning

B09: Disposal of solid waste; reclamation of contaminated soil

B21: Mechanical metal-working without essentially removing material; punching metal

B22: Casting; powder metallurgy

B23: Machine tools; metal-working not otherwise provided for

B24: Grinding; polishing

B25: Hand tools; portable power-driven tools; handles for hand implements; workshop equipment; manipulators

B26: Hand cutting tools; cutting; severing

B27: Working or preserving wood or similar material; nailing or stapling machines in general

B28: Working cement, clay, or stone

B29: Working of plastics; working of substances in a plastic state in general

B30: Presses

B31: Making paper articles; working paper

B32: Layered products

B41: Printing; lining machines; typewriters; stamps

B42: Bookbinding; albums; files; special printed matter

B43: Writing or drawing implements; bureau accessories

B44: Decorative arts

B60: Vehicles in general

B61: Railways

B62: Land vehicles for travelling otherwise than on rails

B63: Ships or other waterborne vessels; related equipment

B64: Aircraft; aviation; cosmonautics

B65: Conveying; packing; storing; handling thin or filamentary material

B66: Hoisting; lifting; hauling

B67: Opening or closing bottles, jars or similar containers; liquid handling

B68: Saddlery; upholstery

B81: Micro-structural technology

B82: Nanotechnology

C: Section C - Chemistry; metallurgy

C01: Inorganic chemistry

C02: Treatment of water, waste water, sewage, or sludge

C03: Glass; mineral or slag wool

C04: Cements; concrete; artificial stone; ceramics; refractories

C05: Fertilisers; manufacture thereof

C06: Explosives; matches

C07: Organic chemistry

C08: Organic macromolecular compounds; their preparation or chemical working-up; compositions based thereon

C09: Dyes; paints; polishes; natural resins; adhesives; compositions not otherwise provided for; applications of materials not otherwise provided for

C10: Petroleum, gas or coke industries; technical gases containing carbon monoxide; fuels; lubricants; peat

C11: Animal or vegetable oils, fats, fatty substances or waxes; fatty acids therefrom; detergents; candles

C12: Biochemistry; beer; spirits; wine; vinegar; microbiology; enzymology; mutation or genetic engineering

C13: Sugar industry

C14: Skins; hides; pelts; leather

C21: Metallurgy of iron

C22: Metallurgy; ferrous or non-ferrous alloys; treatment of alloys or non-ferrous metals

C23: Coating metallic material; coating material with metallic material; chemical surface treatment; diffusion treatment of metallic material; coating by vacuum evaporation, by sputtering, by ion implantation or by chemical vapour deposition, in general; inhibiting corrosion of metallic material or incrustation in general

C25: Electrolytic or electrophoretic processes; apparatus therefor

C30: Crystal growth

C40: Combinatorial technology

D: Section D - Textiles; paper

D01: Natural or artificial threads or fibres; spinning

D02: Yarns; mechanical finishing of yarns or ropes; warping or beaming

D03: Weaving

D04: Braiding; lace-making; knitting; trimmings; non-woven fabrics

D05: Sewing; embroidering; tufting

D06: Treatment of textiles or the like; laundering; flexible materials not otherwise provided for

D07: Ropes; cables other than electric

D21: Paper-making; production of cellulose

E: Section E - Fixed constructions

E01: Construction of roads, railways, or bridges

E02: Hydraulic engineering; foundations; soil-shifting

E03: Water supply; sewerage

E04: Building

E05: Locks; keys; window or door fittings; safes

E06: Doors, windows, shutters, or roller blinds, in general; ladders

E21: Earth or rock drilling; mining

F: Section F - Mechanical engineering; lighting; heating; weapons; blasting

F01: Machines or engines in general; engine plants in general; steam engines

F02: Combustion engines; hot-gas or combustion-product engine plants

F03: Machines or engines for liquids; wind, spring, or weight motors; producing mechanical power or a reactive propulsive thrust, not otherwise provided for

F04: Positive-displacement machines for liquids; pumps for liquids or elastic fluids

F15: Fluid-pressure actuators; hydraulics or pneumatics in general

F16: Engineering elements or units; general measures for producing and maintaining effective functioning of machines or installations; thermal insulation in general

F17: Storing or distributing gases or liquids

F21: Lighting

F22: Steam generation

F23: Combustion apparatus; combustion processes

F24: Heating; ranges; ventilating

F25: Refrigeration or cooling; combined heating and refrigeration systems; heat pump systems; manufacture or storage of ice; liquefaction or solidification of gases

F26: Drying

F27: Furnaces; kilns; ovens; retorts

F28: Heat exchange in general

F41: Weapons

F42: Ammunition; blasting

G: Section G - Physics

G01: Measuring; testing

G02: Optics

G03: Photography; cinematography; analogous techniques using waves other than optical waves; electrography; holography

G04: Horology

G05: Controlling; regulating

G06: Computing; calculating; counting

G09: Educating; cryptography; display; advertising; seals

H02: Generation, conversion, or distribution of electric power

H05: Electric techniques not otherwise provided for

IPC: International patent classification (IPC) - total

name: Patent applications to the EPO by priority year, international patent classification (IPC) sections, classes and other typologies


AVI: Aviation

CAB: Computer and automated business equipment

CTE: Communication technology

HT: High tech - total

LSR: Laser

MGE: Micro-organism and genetic engineering

SMC: Semiconductors

name: High-tech patent applications to the EPO by priority year and other typologies


name: Patent applications to the EPO by priority year and other typologies


dimensions_codes_order: freq sex age terrtypo geo

UNK: Unknown

Y_GE65: 65 years or over

Y_LT15: Less than 15 years

name: Population on 1 January by broad age group, sex and other typologies


Y10-14: From 10 to 14 years

Y15-19: From 15 to 19 years

Y20-24: From 20 to 24 years

Y25-29: From 25 to 29 years

Y30-34: From 30 to 34 years

Y35-39: From 35 to 39 years

Y40-44: From 40 to 44 years

Y45-49: From 45 to 49 years

Y5-9: From 5 to 9 years

Y50-54: From 50 to 54 years

Y55-59: From 55 to 59 years

Y60-64: From 60 to 64 years

Y65-69: From 65 to 69 years

Y70-74: From 70 to 74 years

Y75-79: From 75 to 79 years

Y80-84: From 80 to 84 years

Y85-89: From 85 to 89 years

Y_GE90: 90 years or over

Y_LT5: Less than 5 years

name: Population on 1 January by five year age group, sex and other typologies


dimensions_codes_order: FREQ projection age unit terrtypo sex geo

projection: Type of projection

BSL: Baseline projections

PER: Person

name: Assumptions for net migration by age, sex, type of projection and other typologies


dimensions_codes_order: FREQ projection unit terrtypo indic_de geo

FLBIRTH: Live births - females

MLBIRTH: Live births - males

NMIGRAT: Net migration - total

name: Demographic balances and indicators by type of projection and other typologies


name: Projected deaths by age, sex, type of projection and other typologies


name: Population on 1st January by age, sex, type of projection and other typologies


dimensions_codes_order: FREQ unit terrtypo sex age geo

Y1: 1 year

Y10: 10 years

Y11: 11 years

Y12: 12 years

Y13: 13 years

Y14: 14 years

Y15: 15 years

Y16: 16 years

Y17: 17 years

Y18: 18 years

Y19: 19 years

Y2: 2 years

Y20: 20 years

Y21: 21 years

Y22: 22 years

Y23: 23 years

Y24: 24 years

Y25: 25 years

Y26: 26 years

Y27: 27 years

Y28: 28 years

Y29: 29 years

Y3: 3 years

Y30: 30 years

Y31: 31 years

Y32: 32 years

Y33: 33 years

Y34: 34 years

Y35: 35 years

Y36: 36 years

Y37: 37 years

Y38: 38 years

Y39: 39 years

Y4: 4 years

Y40: 40 years

Y41: 41 years

Y42: 42 years

Y43: 43 years

Y44: 44 years

Y45: 45 years

Y46: 46 years

Y47: 47 years

Y48: 48 years

Y49: 49 years

Y5: 5 years

Y50: 50 years

Y51: 51 years

Y52: 52 years

Y53: 53 years

Y54: 54 years

Y55: 55 years

Y56: 56 years

Y57: 57 years

Y58: 58 years

Y59: 59 years

Y6: 6 years

Y60: 60 years

Y61: 61 years

Y62: 62 years

Y63: 63 years

Y64: 64 years

Y65: 65 years

Y66: 66 years

Y67: 67 years

Y68: 68 years

Y69: 69 years

Y7: 7 years

Y70: 70 years

Y71: 71 years

Y72: 72 years

Y73: 73 years

Y74: 74 years

Y75: 75 years

Y76: 76 years

Y77: 77 years

Y78: 78 years

Y79: 79 years

Y8: 8 years

Y80: 80 years

Y81: 81 years

Y82: 82 years

Y83: 83 years

Y84: 84 years

Y85: 85 years

Y86: 86 years

Y87: 87 years

Y88: 88 years

Y89: 89 years

Y9: 9 years

Y90: 90 years

Y91: 91 years

name: Main scenario - Population on 1st January by age, sex and urban-rural typology


dimensions_codes_order: FREQ unit terrtypo nst07 geo

nst07: Standard goods classification for transport statistics (NST 2007, 20 group)

GT01: Products of agriculture, hunting, and forestry; fish and other fishing products

GT02: Coal and lignite; crude petroleum and natural gas

GT03: Metal ores and other mining and quarrying products; peat; uranium and thorium

GT04: Food products, beverages and tobacco

GT05: Textiles and textile products; leather and leather products

GT06: Wood and products of wood and cork (except furniture); articles of straw and plaiting materials; pulp, paper and paper products; printed matter and recorded media

GT07: Coke and refined petroleum products

GT08: Chemicals, chemical products, and man-made fibers; rubber and plastic products ; nuclear fuel

GT09: Other non metallic mineral products

GT10: Basic metals; fabricated metal products, except machinery and equipment

GT11: Machinery and equipment n.e.c.; office machinery and computers; electrical machinery and apparatus n.e.c.; radio, television and communication equipment and apparatus; medical, precision and optical instruments; watches and clocks

GT12: Transport equipment

GT13: Furniture; other manufactured goods n.e.c.

GT14: Secondary raw materials; municipal wastes and other wastes

GT15: Mail, parcels

GT16: Equipment and material utilized in the transport of goods

GT17: Goods moved in the course of household and office removals; baggage and articles accompanying travellers; motor vehicles being moved for repair; other non market goods n.e.c.

GT18: Grouped goods: a mixture of types of goods which are transported together

GT19: Unidentifiable goods: goods which for any reason cannot be identified and therefore cannot be assigned to groups 01-16.

GT20: Other goods n.e.c.

TOTAL: Total transported goods

THS_T: Thousand tonnes

name: National annual road freight transport by regions of loading, group of goods and other typologies


name: National annual road freight transport by regions of unloading, group of goods and other typologies


dimensions_codes_order: FREQ yieldcls geo

yieldcls: Yield class

AT1: Ostösterreich

AT11: Burgenland (AT)

AT12: Niederösterreich

AT13: Wien

AT13_OTHBL: Wien and other Bundesländer

AT2: Südösterreich

AT22: Steiermark

DE1: Baden-Württemberg

DE1BA: Baden

DE1WU: Württemberg

DE2: Bayern

DE2FRA: Franken

DE7: Hessen

DE7HBG: Hessische Bergstraße

DE7RHE: Rheingau

DE8: Mecklenburg-Vorpommern

DEA-C: Nordrhein-Westfalen, Rheinland-Pfalz and Saarland

DEB_AHR: Ahr

DEB_MSR: Mosel-Saar-Ruwer

DEB_MTR: Mittelrhein

DEB_NAH: Nahe

DEB_RHE: Rheinhessen

DEB_RPF: Rhein-Pfalz

DED: Sachsen

DEE: Sachsen-Anhalt

DEE_SAU: Saale-Unstrut

EL1: Voreia Ellada (NUTS 2010)

EL11: Anatoliki Makedonia, Thraki (NUTS 2010)

EL12: Kentriki Makedonia (NUTS 2010)

EL13: Dytiki Makedonia (NUTS 2010)

EL14: Thessalia (NUTS 2010)

EL2: Kentriki Ellada (NUTS 2010)

EL21: Ipeiros (NUTS 2010)

EL22: Ionia Nisia (NUTS 2010)

EL23: Dytiki Ellada (NUTS 2010)

EL24: Sterea Ellada (NUTS 2010)

EL25: Peloponnisos (NUTS 2010)

EL2ATT: Kentriki Ellada, Attiki

EL2EV: Kentriki Ellada, Evvoia

EL3: Attiki

EL4: Nisia Aigaiou, Kriti

EL41: Voreio Aigaio

EL41_42: Nisia Aigaiou

EL42: Notio Aigaio

EL43: Kriti

EL_MAK: Makedonia

EL_TRA: Thraki

ES11: Galicia

ES12: Principado de Asturias

ES13: Cantabria

ES21: País Vasco

ES211: Araba/Álava

ES212_213: Gipuzkoa, Bizkaia

ES22: Comunidad Foral de Navarra

ES23: La Rioja

ES24: Aragón

ES241_242: Huesca, Teruel

ES243: Zaragoza

ES3: Comunidad de Madrid

ES41: Castilla y León

ES411_414-417: Ávila, Palencia, Salamanca, Segovia, Soria

ES412: Burgos

ES413: León

ES418: Valladolid

ES419: Zamora

ES42: Castilla-la Mancha

ES421: Albacete

ES422: Ciudad Real

ES423: Cuenca

ES424: Guadalajara

ES425: Toledo

ES43: Extremadura

ES431: Badajoz

ES432: Cáceres

ES51: Cataluña

ES511: Barcelona

ES512_513: Girona, Lleida

ES514: Tarragona

ES52: Comunitat Valenciana

ES521: Alicante/Alacant

ES522: Castellón/Castelló

ES523: Valencia/València

ES53: Illes Balears

ES61: Andalucía

ES611_614_616_618: Almería, Granada, Jaén, Sevilla

ES612: Cádiz

ES613: Córdoba

ES615: Huelva

ES617: Málaga

ES62: Región de Murcia

ES7: Canarias

FR10: Île de France

FR51_X_513: Pays-de-la-Loire except Mayenne (NUTS 2013)

FR821-823: Alpes-de-Haute-Provence, Hautes-Alpes, Alpes-Maritimes (NUTS 2013)

ITD1: Provincia Autonoma Bolzano/Bozen (NUTS 2006)

ITD1_D2: Province Autonome Bolzano/Bozen, Trento (NUTS 2006)

OWA_AR_INPRD: Area for other wines - In production (ha)

OWA_AR_NOPRD: Area for other wines - Not yet in production (ha)

OWA_CL1_EFF: Area for other wines - In production - Actual (for the reference year) yield <40 hl/ha (ha)

OWA_CL1_POT: Area for other wines - In production - Potential (or average) yield <40 hl/ha (ha)

OWA_CL2_EFF: Area for other wines - In production - Actual (for the reference year) yield 40-<70 hl/ha (ha)

OWA_CL2_POT: Area for other wines - In production - Potential (or average) yield 40-<70 hl/ha (ha)

OWA_CL3_EFF: Area for other wines - In production - Actual (for the reference year) yield 70-<100 hl/ha (ha)

OWA_CL3_POT: Area for other wines - In production - Potential (or average) yield 70-<100 hl/ha (ha)

OWA_CL4_EFF: Area for other wines - In production - Actual (for the reference year) yield 100-<130 hl/ha (ha)

OWA_CL4_POT: Area for other wines - In production - Potential (or average) yield 100-<130 hl/ha (ha)

OWA_CL5_EFF: Area for other wines - In production - Actual (for the reference year) yield >130 hl/ha (ha)

OWA_CL5_POT: Area for other wines - In production - Potential (or average) yield >130 hl/ha (ha)

QWA_AR_INPRD: Area for quality wines - In production (ha)

QWA_AR_NOPRD: Area for quality wines - Not yet in production (ha)

QWA_CL1_EFF: Area for quality wines - In production - Actual (for the reference year) yield <30 hl/ha (ha)

QWA_CL1_POT: Area for quality wines - In production - Potential (or average) yield <30 hl/ha (ha)

QWA_CL2_EFF: Area for quality wines - In production - Actual (for the reference year) yield 30-<70 hl/ha (ha)

QWA_CL2_POT: Area for quality wines - In production - Potential (or average) yield 30-<70 hl/ha (ha)

QWA_CL3_EFF: Area for quality wines - In production - Actual (for the reference year) yield 70 -<110 hl/ha (ha)

QWA_CL3_POT: Area for quality wines - In production - Potential (or average) yield 70-<110 hl/ha (ha)

QWA_CL4_EFF: Area for quality wines - In production - Actual (for the reference year) yield >110 hl/ha (ha)

QWA_CL4_POT: Area for quality wines - In production - Potential (or average) yield >110 hl/ha (ha)

TOT_AR: Area under wine-grape vines - Total (ha)

TOT_AR_INPRD: Area under wine-grape vines - In production (ha)

TOT_AR_NOPRD: Area under wine-grape vines - Not yet in production (ha)

name: Area under wine-grape vine varieties by type of production, yield class and regions


dimensions_codes_order: FREQ indic_vi yieldcls geo

indic_vi: Survey on variables under vines

name: Area under wine-grape vine varieties which have been grubbed, planted or replanted, by type of production, yield class and regions


FR102: Seine-et-Marne

OWP_ALCOOL: Natural alcoholic strength, other wines (% vol.)

OWP_CL1_EFF: Production of grape must or wine, other wines - Actual (effective) yield <40 hl/ha (1 000 hl)

OWP_CL1_POT: Production of grape must or wine, other wines - Potential (or average) yield <40 hl/ha (1 000 hl)

OWP_CL2_EFF: Production of grape must or wine, other wines - Actual (effective) yield 40-<70 hl/ha (1 000 hl)

OWP_CL2_POT: Production of grape must or wine, other wines - Potential (or average) yield 40-<70 hl/ha (1 000 hl)

OWP_CL3_EFF: Production of grape must or wine, other wines - Actual (effective) yield 70-<100 hl/ha (1 000 hl)

OWP_CL3_POT: Production of grape must or wine, other wines - Potential (or average) yield 70-<100 hl/ha (1 000 hl)

OWP_CL4_EFF: Production of grape must or wine, other wines - Actual (effective) yield 100-<130 hl/ha (1 000 hl)

OWP_CL4_POT: Production of grape must or wine, other wines - Potential (or average) yield 100-<130 hl/ha (1 000 hl)

OWP_CL5_EFF: Production of grape must or wine, other wines - Actual (effective) yield >130 hl/ha (1 000 hl)

OWP_CL5_POT: Production of grape must or wine, other wines - Potential (or average) yield >130 hl/ha (1 000 hl)

OWP_PRD: Production of grape must or wine, other wines  (1 000 hl)

QWP_ALCOOL: Natural alcoholic strength, quality wines (% vol.)

QWP_CL1_EFF: Production of grape must or wine, quality wines - Actual (effective) yield <30 hl/ha (1 000 hl)

QWP_CL1_POT: Production of grape must or wine, quality wines - Potential (or average) yield <30 hl/ha (1 000 hl)

QWP_CL2_EFF: Production of grape must or wine, quality wines - Actual (effective) yield 30-<70 hl/ha (1 000 hl)

QWP_CL2_POT: Production of grape must or wine, quality wines - Potential (or average) yield 30-<70 hl/ha (1 000 hl)

QWP_CL3_EFF: Production of grape must or wine, quality wines - Actual (effective) yield 70-<110 hl/ha (1 000 hl)

QWP_CL3_POT: Production of grape must or wine, quality wines - Potential (or average) yield 70-<110 hl/ha (1 000 hl)

QWP_CL4_EFF: Production of grape must or wine, quality wines - Actual (effective) yield >110 hl/ha (1 000 hl)

QWP_CL4_POT: Production of grape must or wine, quality wines - Potential (or average) yield >110 hl/ha (1 000 hl)

QWP_PRD: Production of grape must or wine, quality wines (1 000 hl)

TOT_PRD: Total production of grape must or wine (1 000 hl)

name: Grape must or wine production of the area under wine-grape vine varieties, by yield class and estimated average natural alcoholic strength, broken down by type of production and regions


dimensions_codes_order: FREQ vitype indic_vi vtarcls geo

vitype: Type of area under vines

vtarcls: Class of area under vines

BG31: Severozapaden

BG32: Severen tsentralen

BG33: Severoiztochen

BG34: Yugoiztochen

BG41: Yugozapaden

BG42: Yuzhen tsentralen

CZ_CEC: Cechy

CZ_MOR: Morava

EL30: Attiki

ES30: Comunidad de Madrid

ES70: Canarias

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

FR21: Champagne-Ardenne (NUTS 2013)

FR221: Aisne (NUTS 2013)

AAU: Agricultural area in use of vineyard holdings (ha)

NURSE: Area under vines for propagation in nurseries

OTHWINE: Area for the production of other wines including potable spirits

VQPRD: Area for the production of quality wines psr

name: Holdings, cultivated area under vines (CAV) and agricultural area in use broken down by type of production, size class and regions


dimensions_codes_order: FREQ prodtyp vit_vtv indic_vi vtarcls geo

prodtyp: Production

vit_vtv: Part of area under vines in agricultural area in use (AA)

FR24: Centre (FR) (NUTS 2013)

OTHER: Others (other types of production, mixed production, etc.)

VITARC1: Holdings with > 0 <= 10 % of agricultural area in use under vines

VITARC2: Holdings with 10 <= 25 % of agricultural area in use under vines

VITARC3: Holdings with 25 <= 50 % of agricultural area in use under vines

VITARC4: Holdings with 50 <= 75 % of agricultural area in use under vines

VITARC5: Holdings with 75 <= 90 % of agricultural area in use under vines

VITARC6: Holdings with >= 90 % of agricultural area in use under vines

name: Holdings, cultivated area under vines (CAV) and utilised agricultural area (AA) by AV/AA ratio, size class and regions


dimensions_codes_order: FREQ indic_vi percent vtarcls geo

percent: Size classes in percentage

QWAREA: Cultivated area under wine-grape vine varieties for the production of quality wines psr (ha)

WGVAREA: Cultivated area under wine-grape vine varieties (ha)

name: Holdings and areas under wine-grape vine varieties, broken down by vine area size class and classes of % of area producing quality wines produced in specific regions (quality wines psr) in the total area under wine-grape vines


wine_var: Wine-grape vine variety

Y10-19: From 10 to 19 years

Y20-29: From 20 to 29 years

Y3-5: From 3 to 5 years

Y3-9: From 3 to 9 years

Y6-9: From 6 to 9 years

Y_GE20: 20 years or over

Y_GE30: 30 years or over

Y_LT3: Less than 3 years

AT1000: Blauburger

AT1001: Blauer Burgunder (Blauer Spätburgunder, Blauburgunder, Pinot Noir)

AT1002: Blauer Potugieser

AT1003: Blauer Wildbacher

AT1004: Blaufränkisch

AT1005: Cabernet Franc

AT1006: Cabernet Sauvignon

AT1007: Merlot

AT1008: St. Laurent

AT1009: Zweigelt (Blauer Zweigelt,Rotburger)

AT1010: Rathay

AT1011: Roesler

AT1012: Syrah

AT2000: Bouvier

AT2001: Frühroter Veltliner (Malvasier)

AT2002: Furmint

AT2003: Goldburger

AT2004: Grauer Burgunder (Pinot Gris, Ruländer)

AT2005: Grüner Veltliner (Weißgipfler)

AT2006: Jubiläumsrebe

AT2007: Müller-Thurgau (Riesling Sylvaner, Rivaner)

AT2008: Muskateller (Gelber Muskateller, Roter Muskateller)

AT2009: Muskat-Ottonel

AT2010: Neuburger

AT2011: Roter Veltliner

AT2012: Rotgipfler

AT2013: Sauvignon Blanc  (Muskat-Sylvaner)

AT2014: Scheurebe (Sämling 88)

AT2015: Sylvaner (Grüner Sylvaner)

AT2016: Traminer (Gewürztraminer, Roter Traminer)

AT2017: Weißer Burgunder (Weißburgunder, Pinot Blanc, Klevner)

AT2018: Weißer Riesling (Riesling, Rheinriesling)

AT2019: Welschriesling

AT2020: Zierfandler (Spätrot)

AT2021: Chardonnay (Feinburgunder,Morillon)

B_IND: Total black individual varieties

OTH_BNS: Other black, varieties not mentioned

OTH_WNS: Other white varieties not mentioned and other colours

TOT_BLK: Total, black varieties

TOT_IND: Total, individual varieties

TOT_OTH: Total, other varieties

TOT_VAR: Total, all varieties

TOT_WHI: Total, white varieties and other colours

W_IND: Total, white individual varieties and other colours

name: Area under wine-grape vine varieties broken down by vine variety and by age of the vines - Austria


BG1000: Merlot

BG1001: Cabernet Sauvignon

BG1002: Pamid

BG1003: Mavrud

BG1004: Shiroka melnishka loza

BG1005: Gamza

BG1006: Storgozia

BG1007: Ranna melnishka loza

BG2001: Misket cherven

BG2002: Muscat Ottonel

BG2003: Rkatsiteli

BG2004: Chardonnay Blanc

BG2005: Dimyat

BG2006: Traminer Rot

BG2007: Ugni blanc, Trebbiano

BG2008: Misket varnenski

name: Area under wine-grape vine varieties broken down by vine variety and by age of the vines - Bulgaria


CY1000: Mavro (local variety)

CY1001: Mavro (local variety)-for quality wines

CY1002: Carignan noir

CY1003: Cabernet franc

CY1004: Cabernet sauvignon

CY1005: Maratheftiko (local variety)

CY1006: Mataro

CY1007: Ofthalmo (local variety)

CY1008: Merlot

CY1009: Shiraz

CY1010: Lefkada (local variety)

CY1011: Grenache

CY2000: Xynisteri (local variety)

CY2001: Xynisteri (local variety)-for quality wines

CY2002: Malaga (local variety)

CY2003: Chardonnay

CY2004: Soultanina (local  variety)

name: Area under wine-grape vine varieties broken down by vine variety and by age of the vines - Cyprus


CZ1000: André

CZ1001: Cabernet Moravia

CZ1002: Cabernet Sauvignon

CZ1003: Dornfelder

CZ1004: Frankovka

CZ1005: Merlot

CZ1006: Modrý Portugal

CZ1007: Rulandské modré

CZ1008: Svatovavrinecké

CZ1009: Zweigetrebe

CZ1010: Neronet

CZ1011: Alibernet

CZ1012: Laurot

CZ1013: Agni

CZ1014: Ariana

CZ2000: Chardonnay

CZ2001: Muskát moravský

CZ2002: Muller Thurgau

CZ2003: Neuburské

CZ2004: Pálava

CZ2005: Rulandské bílé

CZ2006: Rulandské sedé

CZ2007: Ryzlink rýnský

CZ2008: Ryzlink vlasský

CZ2009: Sauvignon

CZ2010: Tramín cervený

CZ2011: Veltlínské cervené rané

CZ2012: Veltlínské zelené

CZ2013: Sylvánské zelené

CZ2014: Irsai Oliver

CZ2015: Muskát Ottonel

CZ2016: Aurelius

name: Area under wine-grape vine varieties broken down by vine variety and by age of the vines - Czech Republic


DE1000: Acolon

DE1001: André

DE1002: Blauburger

DE1003: Cabernet Cortis

DE1004: Cabernet Cubin

DE1005: Cabernet Dorio

DE1006: Cabernet Dorsa

DE1007: Cabernet Franc

DE1008: Cabernet Mitos

DE1009: Cabernet Sauvignon

DE1010: Dakapo

DE1011: Deckrot

DE1012: Domina

DE1013: Dornfelder

DE1014: Dunkelfelder

DE1015: Färbertraube

DE1016: Frühburgunder, Blauer

DE1017: Hegel

DE1018: Helfensteiner

DE1019: Heroldrebe

DE2000: Albalonga

DE2001: Arnsburger

DE2002: Auxerrois

DE2003: Bacchus

DE2004: Bronner

DE2005: Burgunder, Weißer

DE2006: Chardonnay

DE2007: Ehrenbreitsteiner

DE2008: Ehrenfelser

DE2009: Elbling, Roter

DE2010: Elbling, Weißer

DE2011: Faberrebe

DE2012: Findling

DE2013: Fontanara

DE2014: Freisamer

DE2015: Goldriesling

DE2016: Gutedel, Roter

DE2017: Gutedel, Weißer

DE2018: Hibernal

DE2019: Hölder

DE2020: Huxelrebe

DE2021: Johanniter

DE2022: Juwel

DE2023: Kanzler

DE2024: Kerner

DE2025: Kernling

DE2026: Malinger, Früher (Malingre, Früher)

DE2027: Malvasier, Früher Roter

DE2028: Mariensteiner

DE2029: Merzling

DE2030: Morio-Muskat

DE2031: Müller-Thurgau

DE2032: Muskateller, Gelber

DE2033: Muskateller, Roter

DE2034: Muskat-Ottonel

DE2035: Nobling

DE2036: Optima 113

DE2037: Orion

DE2038: Ortega

DE2039: Osteiner

DE2040: Perle

DE2041: Perle von Zala

DE2042: Phoenix

DE2043: Prinzipal

DE2044: Regner

DE2045: Reichensteiner

DE2046: Rieslaner

DE2047: Riesling, Weißer

DE2048: Ruländer (Burgunder, Grauer)

DE2049: Sauvignon blanc

DE2050: Scheurebe

name: Area under wine-grape vine varieties broken down by vine variety and by age of the vines - Germany


EL1002: Vilana

EL1003: Agiorgitiko

EL1004: Moschofilero

EL1005: Mavrodafni

EL1006: Moschato

EL1007: Roditis

EL1008: Rombola

EL1010: Krasato

EL1011: Stavroto

EL1012: Xinomavro

EL1013: Limnio

EL1014: Moschato (for wine, Moschato Lasithiou,Chania)

EL1015: Asirtiko

EL1016: Athiri

EL1017: Kotsifali

EL1018: Mandilari

EL1019: Liatiko

EL1020: Fileri

EL1021: Romeiko

EL1022: Mavroudi

EL1024: Vertzami

EL1029: Kamberne Sovinion (Black)

EL1030: Kamberne Fran (Black)

EL1032: Fokiano

EL1033: Zoumiatiko

EL1036: Batily

EL1039: Messenikola (Black)

EL1040: Negkoska

EL1042: Grenas Rose

EL1046: Alikante Mouse

EL1047: Uni Blan

EL1048: Sirach

EL1049: Senso

EL1051: Merlo

EL2001: Savvatiano

EL2002: Vilana

EL2006: Moschato

EL2007: Roditis

EL2008: Rombola

EL2009: Dembina

EL2012: Xinomavro

EL2013: Limnio

EL2015: Asirtiko

EL2016: Athiri

EL2019: Liatiko

EL2020: Fileri

EL2025: Asproudi

EL2026: Pamiti

EL2027: Sovinion (White)

EL2028: Sardone (White)

EL2031: Malagouzia (White)

EL2032: Fokiano

EL2033: Zoumiatiko

EL2034: Monemvasia

EL2036: Batili

EL2037: Goustolidi (Vostilidas)

EL2041: Moschofilero II

EL2042: GRenas Rose

EL2045: Semigion

EL2047: Uni Blance

EL2050: Karinian

EL2051: Merlo

name: Area under wine-grape vine varieties broken down by vine variety and by age of the vines - Greece