[met_lfe3emp] Employment by sex, age and metropolitan regions
Updated by provider on October 22, 2022 (4:00 AM).
[FREQ] Frequency
- [A] Annual
[unit] Unit of measure
- [THS_PER] Thousand persons
[sex] Sex
- [F] Females
- [M] Males
- [T] Total
[age] Age class
- [Y15-64] From 15 to 64 years
- [Y20-64] From 20 to 64 years
[metroreg] Metropolitan regions
- [AT] Austria
- [AT001MC] Wien
- [AT002M] Graz
- [AT003M] Linz
- [AT004M] Salzburg
- [AT005M] Innsbruck
- [AT_NM] Non-metropolitan regions in Austria
- [BE] Belgium
- [BE001MC] Bruxelles / Brussel
- [BE002M] Antwerpen
- [BE003M] Gent
- [BE004M] Charleroi
- [BE005M] Liège
- [BE007M] Namur
- [BE_NM] Non-metropolitan regions in Belgium
- [BG] Bulgaria
- [BG001MC] Sofia
- [BG002M] Plovdiv
- [BG003M] Varna
- [BG004M] Burgas
- [BG_NM] Non-metropolitan regions in Bulgaria
- [CH] Switzerland
- [CY] Cyprus
- [CY001MC] Lefkosia
- [CZ] Czechia
- [CZ001MC] Praha
- [CZ002M] Brno
- [CZ003M] Ostrava
- [CZ004M] Plzen
- [CZ007M] Liberec
- [CZ_NM] Non-metropolitan regions in Czech Republic
- [DE] Germany (until 1990 former territory of the FRG)
- [DE001MC] Berlin
- [DE002M] Hamburg
- [DE003M] München
- [DE004M] Köln
- [DE005M] Frankfurt am Main
- [DE007M] Stuttgart
- [DE008M] Leipzig
- [DE009M] Dresden
- [DE011M] Düsseldorf
- [DE012M] Bremen
- [DE013M] Hannover
- [DE014M] Nürnberg
- [DE017M] Bielefeld
- [DE018M] Halle an der Saale
- [DE019M] Magdeburg
- [DE020M] Wiesbaden
- [DE021M] Göttingen
- [DE025M] Darmstadt
- [DE027M] Freiburg im Breisgau
- [DE028M] Regensburg
- [DE031M] Schwerin
- [DE032M] Erfurt
- [DE033M] Augsburg
- [DE034M] Bonn
- [DE035M] Karlsruhe
- [DE036M] Mönchengladbach
- [DE037M] Mainz
- [DE038M] Ruhrgebiet
- [DE039M] Kiel
- [DE040M] Saarbrücken
- [DE042M] Koblenz
- [DE043M] Rostock
- [DE044M] Kaiserslautern
- [DE045M] Iserlohn
- [DE052M] Flensburg
- [DE054M] Konstanz
- [DE057M] Gießen
- [DE059M] Bayreuth
- [DE061M] Aschaffenburg
- [DE064M] Neubrandenburg
- [DE069M] Rosenheim
- [DE073M] Offenburg
- [DE074M] Görlitz
- [DE077M] Schweinfurt
- [DE079M] Wetzlar
- [DE083M] Braunschweig-Salzgitter-Wolfsburg
- [DE084M] Mannheim-Ludwigshafen
- [DE504M] Münster
- [DE507M] Aachen
- [DE510M] Lübeck
- [DE513M] Kassel
- [DE517M] Osnabrück
- [DE520M] Oldenburg (Oldenburg)
- [DE522M] Heidelberg
- [DE523M] Paderborn
- [DE524M] Würzburg
- [DE527M] Bremerhaven
- [DE529M] Heilbronn
- [DE532M] Ulm
- [DE533M] Pforzheim
- [DE534M] Ingolstadt
- [DE537M] Reutlingen
- [DE540M] Siegen
- [DE542M] Hildesheim
- [DE544M] Zwickau
- [DE546M] Wuppertal
- [DE548M] Düren
- [DE549M] Bocholt
- [DE_NM] Non-metropolitan regions in Germany
- [DK] Denmark
- [DK001MC] København
- [DK002M] Århus
- [DK003M] Odense
- [DK004M] Aalborg
- [DK_NM] Non-metropolitan regions in Denmark
- [EE] Estonia
- [EE001MC] Tallinn
- [EE_NM] Non-metropolitan regions in Estonia
- [EL] Greece
- [EL001MC] Athina
- [EL002M] Thessaloniki
- [EL_NM] Non-metropolitan regions in Greece
- [ES] Spain
- [ES001MC] Madrid
- [ES002M] Barcelona
- [ES003M] Valencia
- [ES004M] Sevilla
- [ES005M] Zaragoza
- [ES006M] Málaga - Marbella
- [ES007M] Murcia - Cartagena
- [ES008M] Las Palmas
- [ES009M] Valladolid
- [ES010M] Palma de Mallorca
- [ES012M] Vitoria/Gasteiz
- [ES013M] Oviedo - Gijón
- [ES014M] Pamplona/Iruña
- [ES015M] Santander
- [ES019M] Bilbao
- [ES020M] Córdoba
- [ES021M] Alicante/Alacant - Elche/Elx
- [ES022M] Vigo
- [ES025M] Santa Cruz de Tenerife
- [ES026M] A Coruña
- [ES501M] Granada
- [ES510M] Guipúzcoa
- [ES522M] Cádiz
- [ES_NM] Non-metropolitan regions in Spain
- [FI] Finland
- [FI001MC] Helsinki
- [FI002M] Tampere
- [FI003M] Turku
- [FI_NM] Non-metropolitan regions in Finland
- [FR] France
- [FR001MC] Paris
- [FR003M] Lyon
- [FR004M] Toulouse
- [FR006M] Strasbourg
- [FR007M] Bordeaux
- [FR008M] Nantes
- [FR009M] Lille - Dunkerque - Valenciennes
- [FR010M] Montpellier
- [FR011M] Saint-Etienne
- [FR013M] Rennes
- [FR014M] Amiens
- [FR015M] Rouen
- [FR016M] Nancy
- [FR018M] Reims
- [FR019M] Orléans
- [FR020M] Dijon
- [FR021M] Poitiers
- [FR022M] Clermont-Ferrand
- [FR023M] Caen
- [FR024M] Limoges
- [FR025M] Besançon
- [FR026M] Grenoble
- [FR030M] Fort-de-France
- [FR035M] Tours
- [FR036M] Angers
- [FR037M] Brest
- [FR038M] Le Mans
- [FR040M] Mulhouse
- [FR043M] Perpignan
- [FR044M] Nimes
- [FR045M] Pau
- [FR048M] Annecy (FR) / Genève (CH)
- [FR203M] Marseille
- [FR205M] Nice
- [FR520M] Les Abymes
- [HR] Croatia
- [HR001MC] Zagreb
- [HR005M] Split
- [HR_NM] Non-metropolitan regions in Croatia
- [HU] Hungary
- [HU001MC] Budapest
- [HU002M] Miskolc
- [HU004M] Pécs
- [HU005M] Debrecen
- [HU009M] Székesfehérvár
- [HU_NM] Non-metropolitan regions in Hungary
- [IE] Ireland
- [IE001MC] Dublin
- [IE002M] Cork
- [IE_NM] Non-metropolitan regions in Ireland
- [IS] Iceland
- [IT] Italy
- [IT001MC] Roma
- [IT002M] Milano
- [IT003M] Napoli
- [IT004M] Torino
- [IT005M] Palermo
- [IT006M] Genova
- [IT007M] Firenze
- [IT008M] Bari
- [IT009M] Bologna
- [IT010M] Catania
- [IT011M] Venezia
- [IT012M] Verona
- [IT016M] Perugia
- [IT022M] Taranto
- [IT027M] Cagliari
- [IT028M] Padova
- [IT029M] Brescia
- [IT501M] Messina
- [IT502M] Prato
- [IT503M] Parma
- [IT505M] Reggio nell Emilia
- [IT511M] Bergamo
- [IT_NM] Non-metropolitan regions in Italy
- [LT] Lithuania
- [LT001MC] Vilnius
- [LT002M] Kaunas
- [LT_NM] Non-metropolitan regions in Lithuania
- [LU] Luxembourg
- [LU001MC] Luxembourg
- [LV] Latvia
- [LV001MC] Riga
- [LV_NM] Non-metropolitan regions in Latvia
- [ME] Montenegro
- [MK] North Macedonia
- [MT] Malta
- [MT001MC] Valletta
- [MT_NM] Non-metropolitan regions in Malta
- [NL] Netherlands
- [NL001M] s' Gravenhage
- [NL002MC] Amsterdam
- [NL003M] Rotterdam
- [NL004M] Utrecht
- [NL005M] Eindhoven
- [NL006M] Tilburg
- [NL007M] Groningen
- [NL008M] Enschede
- [NL009M] Arnhem - Nijmegen
- [NL012M] Breda
- [NL015M] Leeuwarden
- [NL507M] Leiden
- [NL511M] Zwolle
- [NL_NM] Non-metropolitan regions in Netherlands
- [NO] Norway
- [NO001MC] Oslo
- [NO002M] Bergen
- [PL] Poland
- [PL001MC] Warszawa
- [PL002M] Lódz
- [PL003M] Kraków
- [PL004M] Wroclaw
- [PL005M] Poznan
- [PL006M] Gdansk
- [PL007M] Szczecin
- [PL008M] Bydgoszcz - Torún
- [PL009M] Lublin
- [PL010M] Katowice
- [PL011M] Bialystok
- [PL012M] Kielce
- [PL014M] Olsztyn
- [PL015M] Rzeszów
- [PL016M] Opole
- [PL024M] Czestochowa
- [PL025M] Radom
- [PL506M] Bielsko-Biala
- [PL514M] Tarnów
- [PL_NM] Non-metropolitan regions in Poland
- [PT] Portugal
- [PT001MC] Lisboa
- [PT002M] Porto
- [PT005M] Coimbra
- [PT_NM] Non-metropolitan regions in Portugal
- [RO] Romania
- [RO001MC] Bucuresti
- [RO002M] Cluj-Napoca
- [RO003M] Timisoara
- [RO004M] Craiova
- [RO501M] Constanta
- [RO502M] Iasi
- [RO503M] Galati
- [RO504M] Brasov
- [RO505M] Ploiesti
- [RO_NM] Non-metropolitan regions in Romania
- [SE] Sweden
- [SE001MC] Stockholm
- [SE002M] Göteborg
- [SE003M] Malmö
- [SE006M] Uppsala
- [SE_NM] Non-metropolitan regions in Sweden
- [SI] Slovenia
- [SI001MC] Ljubljana
- [SI002M] Maribor
- [SI_NM] Non-metropolitan regions in Slovenia
- [SK] Slovakia
- [SK001MC] Bratislava
- [SK002M] Kosice
- [SK_NM] Non-metropolitan regions in Slovakia
- [TR] Türkiye
- [UK] United Kingdom
- [UK001MC] London
- [UK002M] West Midlands urban area
- [UK003M] Leeds
- [UK004M] Glasgow
- [UK005M] Bradford
- [UK006M] Liverpool
- [UK007M] Edinburgh
- [UK008M] Manchester
- [UK009M] Cardiff
- [UK010M] Sheffield
- [UK011M] Bristol
- [UK012M] Belfast
- [UK013M] Newcastle upon Tyne
- [UK014M] Leicester
- [UK016M] Aberdeen
- [UK017M] Cambridge
- [UK018M] Exeter
- [UK023M] Portsmouth
- [UK025M] Coventry
- [UK026M] Kingston upon Hull
- [UK027M] Stoke-on-Trent
- [UK029M] Nottingham
- [UK501M] Kirklees
- [UK506M] Doncaster
- [UK510M] Sunderland
- [UK513M] Medway
- [UK515M] Brighton and Hove
- [UK516M] Plymouth
- [UK517M] Swansea
- [UK518M] Derby
- [UK520M] Southampton
- [UK528M] Northampton
- [UK539M] Bournemouth
- [UK546M] Colchester
- [UK553M] Blackburn - Blackpool - Preston
- [UK559M] Middlesbrough
- [UK560M] Oxford
- [UK566M] Norwich
- [UK568M] Cheshire West and Chester
- [UK569M] Ipswich
- [UK_NM] Non-metropolitan regions in United Kingdom
Search filters
Frequency [FREQ] (1)
Unit of measure [unit] (1)
Sex [sex] (3)
Age class [age] (2)
Metropolitan regions [metroreg] (346)
This dataset has 2,067 series:
- from
- 1999=1,600.4
- to
- 2021=1,988.4
- min:
- 1,600.4
- max:
- 2,013.6
- avg:
- 1,818.209
- σ:
- 139.904
- from
- 1999=511.1
- to
- 2021=629.3
- min:
- 493
- max:
- 629.3
- avg:
- 562.748
- σ:
- 44.794
- from
- 1999=101.3
- to
- 2021=147.9
- min:
- 97.5
- max:
- 147.9
- avg:
- 122.604
- σ:
- 15.07
- from
- 1999=146.3
- to
- 2021=179.3
- min:
- 146.3
- max:
- 187.2
- avg:
- 166.913
- σ:
- 11.396
- from
- 1999=73.5
- to
- 2021=83.3
- min:
- 73.5
- max:
- 87
- avg:
- 80.839
- σ:
- 4.085
- from
- 1999=53.8
- to
- 2021=75.2
- min:
- 52.3
- max:
- 75.4
- avg:
- 65.291
- σ:
- 6.773
- from
- 1999=714.4
- to
- 2021=873.4
- min:
- 714.4
- max:
- 907.1
- avg:
- 819.822
- σ:
- 61.438
- from
- 1999=1,672.7
- to
- 2021=2,259
- min:
- 1,672.7
- max:
- 2,259
- avg:
- 1,976.074
- σ:
- 184.483
- from
- 1999=365
- to
- 2021=652.8
- min:
- 364.9
- max:
- 652.8
- avg:
- 439.582
- σ:
- 70.151
- from
- 1999=164.9
- to
- 2021=219.8
- min:
- 157.1
- max:
- 219.8
- avg:
- 183.965
- σ:
- 16.962
Series code | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.THS_PER.F.Y15-64.AT] | 1600.4 | 1608.7 | 1619.9 | 1645 | 1671.6 | 1631.1 | 1689.2 | 1724.9 | 1763.3 | 1806.7 | 1822.1 | 1840.4 | 1862.3 | 1884.6 | 1896.6 | 1908.1 | 1923 | 1955.6 | 1976.7 | 1993.2 | 2013.6 | 1993.4 | 1988.4 |
[A.THS_PER.F.Y15-64.AT001MC] | 511.1 | 506.9 | 514 | 507.8 | 514.1 | 493 | 512 | 524.4 | 530.8 | 556.3 | 564.2 | 569.2 | 571.9 | 582.6 | 583.8 | 587 | 593 | 604 | 623.8 | 622.8 | 621.4 | 619.8 | 629.3 |
[A.THS_PER.F.Y15-64.AT002M] | 101.3 | 97.5 | 102.7 | 101.3 | 102.6 | 103.2 | 113 | 121 | 126.6 | 124.5 | 121.2 | 124.8 | 119.5 | 126.6 | 126.2 | 127.5 | 131.8 | 133.6 | 142.1 | 141.4 | 139.2 | 144.4 | 147.9 |
[A.THS_PER.F.Y15-64.AT003M] | 146.3 | 156.1 | 152.7 | 157.5 | 162.2 | 148.3 | 155.3 | 153.2 | 157.9 | 168.3 | 164.9 | 170.9 | 176.9 | 174.9 | 176.6 | 172.7 | 169.4 | 171 | 178.2 | 183.6 | 187.2 | 175.6 | 179.3 |
[A.THS_PER.F.Y15-64.AT004M] | 73.5 | 76.3 | 76.9 | 77.9 | 76.2 | 74.7 | 79 | 77 | 78 | 78.3 | 81 | 82 | 79.3 | 84 | 83 | 83.7 | 86.9 | 87 | 85.8 | 86 | 83.3 | 86.2 | 83.3 |
[A.THS_PER.F.Y15-64.AT005M] | 53.8 | 55.1 | 52.3 | 60.1 | 60.4 | 60.8 | 59.8 | 59.9 | 64.2 | 65.1 | 66.4 | 64.6 | 64.4 | 65.8 | 70.2 | 67.8 | 65.5 | 73.8 | 74.4 | 73.6 | 75.4 | 73.1 | 75.2 |
[A.THS_PER.F.Y15-64.AT_NM] | 714.4 | 716.7 | 721.3 | 740.3 | 756.1 | 751.1 | 770 | 789.4 | 805.8 | 814.3 | 824.4 | 828.9 | 850.3 | 850.7 | 856.8 | 869.4 | 876.5 | 886.3 | 872.5 | 885.8 | 907.1 | 894.4 | 873.4 |
[A.THS_PER.F.Y15-64.BE] | 1672.7 | 1730.6 | 1693.7 | 1714.5 | 1731.4 | 1792.8 | 1838 | 1861.8 | 1927 | 1974.9 | 1983.8 | 2018 | 2035.9 | 2045.7 | 2064.8 | 2094.9 | 2102.4 | 2107.5 | 2126.1 | 2204.2 | 2244.8 | 2225.2 | 2259 |
[A.THS_PER.F.Y15-64.BE001MC] | 365 | 376.8 | 364.9 | 367.7 | 378 | 388.2 | 392.4 | - | - | - | - | - | - | 440.4 | 440.6 | 454.2 | 467.4 | 450.9 | 465.8 | 484.1 | 496.3 | 487.4 | 652.8 |
[A.THS_PER.F.Y15-64.BE002M] | 164.9 | 168.3 | 157.1 | 169.9 | 168.7 | 169.3 | 181 | - | - | - | - | - | - | 173.5 | 180.7 | 186.6 | 197.3 | 190.4 | 189.7 | 197 | 201.7 | 211.5 | 219.8 |
Showing results 1 - 10 / 2,067