[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:
- min:
- 894.5
- max:
- 1,046.1
- avg:
- 979.362
- σ:
- 47.167
- min:
- 15,590.2
- max:
- 19,258.7
- avg:
- 17,443.939
- σ:
- 1,220.858
- min:
- 1,106.5
- max:
- 1,271.3
- avg:
- 1,200.137
- σ:
- 64.866
- min:
- 629.3
- max:
- 814.1
- avg:
- 709.485
- σ:
- 61.667
- min:
- 574.7
- max:
- 741.9
- avg:
- 642.12
- σ:
- 56.893
- min:
- 392.9
- max:
- 469.7
- avg:
- 434.88
- σ:
- 26.604
- min:
- 500
- max:
- 648.5
- avg:
- 559.605
- σ:
- 44.939
- min:
- 539.4
- max:
- 684.6
- avg:
- 596.035
- σ:
- 43.232
- min:
- 216.7
- max:
- 247
- avg:
- 232.15
- σ:
- 11.586
- min:
- 287.2
- max:
- 307.9
- avg:
- 298.575
- σ:
- 6.369
Series code | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.THS_PER.F.Y15-64.CZ_NM] | 894.5 | 906.6 | 913 | 967.3 | 951.9 | 963.9 | 956.4 | 961.7 | 974.6 | 996.4 | 1025.3 | 1034.6 | 1046.1 | 1040.2 | 1018 | 1019.3 | NA | NA | NA | NA | NA | NA | NA |
[A.THS_PER.F.Y15-64.DE] | 16632.6 | 17018.8 | 17271.1 | 17407 | 17318 | 17707.9 | 17808.6 | 18056.1 | 18210 | 18367.7 | 18789.7 | 18929.4 | 19027.9 | 19258.7 | 19146.1 | 18865.4 | 15590.2 | 15788.7 | 16009.4 | 16012.9 | 15993.6 | 15792.1 | 16208.7 |
[A.THS_PER.F.Y15-64.DE001MC] | NA | NA | NA | NA | NA | 1106.5 | 1118.1 | 1134.6 | NA | NA | 1213.3 | 1235.8 | 1263.1 | 1271.3 | NA | 1258.4 | NA | NA | NA | NA | NA | NA | NA |
[A.THS_PER.F.Y15-64.DE002M] | 678.1 | 687.8 | 707.6 | 723.7 | 715.9 | 729.9 | 736.9 | 749.7 | NA | NA | 779 | 801 | 799.5 | 814.1 | NA | 783.5 | 629.6 | 636.2 | 647.7 | 642.7 | 648.6 | 629.3 | 648.9 |
[A.THS_PER.F.Y15-64.DE003M] | 608.6 | 622.8 | 637.5 | 643.9 | 643 | 664 | 675.8 | 697 | NA | NA | 723.2 | 726.1 | 732 | 741.9 | NA | 661 | 575.5 | 579.7 | 592.5 | 584.5 | 574.7 | 575.5 | 583.2 |
[A.THS_PER.F.Y15-64.DE004M] | 435.5 | 450.5 | 454.8 | 462.4 | 455.9 | 413 | 419.4 | 423.6 | NA | NA | 467 | 465.1 | 466.7 | 469.7 | NA | 468 | 392.9 | 406.2 | 411.4 | 408 | 405.3 | 398.1 | 424.1 |
[A.THS_PER.F.Y15-64.DE005M] | 527.2 | 536 | 550.4 | 557.2 | 558.5 | 572.8 | 579.6 | 593.1 | NA | NA | 609.8 | 624.5 | 641.2 | 648.5 | NA | 590.9 | 500 | 510.4 | 528.4 | 522.2 | 520.2 | 507.3 | 513.9 |
[A.THS_PER.F.Y15-64.DE007M] | 577.9 | 588.2 | 598.3 | 600.7 | 578.1 | 595.6 | 599.3 | 616.6 | NA | NA | 652.7 | 657.3 | 677 | 684.6 | NA | 627.7 | 541.3 | 539.4 | 549.1 | 558.1 | 559.5 | 557 | 562.3 |
[A.THS_PER.F.Y15-64.DE008M] | NA | NA | NA | NA | NA | 216.7 | 222.2 | 226.4 | NA | NA | 241.3 | 240.1 | 244.7 | 247 | NA | 218.8 | NA | NA | NA | NA | NA | NA | NA |
[A.THS_PER.F.Y15-64.DE009M] | NA | NA | NA | NA | NA | 296.3 | 287.2 | 293.4 | NA | NA | 297.2 | 303.6 | 297.5 | 307.9 | NA | 305.5 | NA | NA | NA | NA | NA | NA | NA |
Showing results 31 - 40 / 2,067