[met_lfe3emp] Employment by sex, age and metropolitan regions

Updated by provider on October 22, 2022 (4:00 AM).

Documentation

[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:

Trim NA Values

Series code	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	1999	2000	2001	2002
[A.THS_PER.F.Y15-64.BG_NM]	745.6	763	762.3	792.2	820	838.4	809.6	743.6	718.8	718.3	706.7	706.2	705.8	695.3	717	711.1	727.1	698.4	685	NA	NA	NA	NA
[A.THS_PER.F.Y15-64.CH]	1747	1752.2	1769.1	1799.6	1822.7	1892.8	1914.5	1871.6	1916.5	1944.7	1966	2006.8	2041.6	2074.6	2078.7	2099.4	2125.8	2123.3	2118.5	1665.1	1666.8	1709.7	1748.7
[A.THS_PER.F.Y15-64.CY]	143.5	145	148.4	154.8	166.3	168.3	174.9	183.1	186.1	180.8	172.6	175.5	172.1	171.7	179.3	188.3	192.2	191.8	199.1	112.1	120.2	131.4	136.9
[A.THS_PER.F.Y15-64.CY001MC]	143.5	145	148.4	154.8	166.3	168.3	174.9	183.1	186.1	180.8	172.6	175.5	172.1	171.7	179.3	188.3	192.2	191.8	199.1	112.1	120.2	131.4	136.9
[A.THS_PER.F.Y15-64.CZ]	2034.5	2026.6	2038.9	2065	2091.5	2113.7	2080.6	2057.1	2063.5	2078.6	2103.8	2119.9	2159.1	2210.3	2251	2285.2	2288.1	2244.9	2236.5	2045.4	2032	2034.8	2047.8
[A.THS_PER.F.Y15-64.CZ001MC]	505.5	496.4	509.7	522.1	525.9	533.9	536.1	529.6	529.8	544.7	548.3	551.8	556.2	568.9	586.2	604.2	611.5	600.9	600.8	507.3	498.5	504.3	503.2
[A.THS_PER.F.Y15-64.CZ002M]	NA	NA	NA	219.2	225.9	224.4	224.5	230	223.4	226.1	238.8	237.1	247	247.5	251.8	251.8	252.9	250.8	247.3	NA	NA	NA	NA
[A.THS_PER.F.Y15-64.CZ003M]	222.5	225.1	231.5	230.8	232.9	239.2	238.3	230.9	230.8	235.6	235.7	237.2	238.5	247.2	252.9	257.8	258.3	249.6	245.4	230.8	229.4	220.8	231.4
[A.THS_PER.F.Y15-64.CZ004M]	115	111.8	115.2	115.4	116.4	120.3	114.3	114.7	115.6	115.8	119.3	119.3	121	121.3	125.5	125.3	125.2	125.6	123.7	111.9	114.7	114.3	116.4
[A.THS_PER.F.Y15-64.CZ007M]	87	89.5	84.5	83.2	83.9	82.8	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	86.7	89.5	88.9	88

Loading chart

Showing results 21 - 30 / 2,067