[met_pjanaggr3] Population on 1 January by broad age group, sex and metropolitan regions

Updated by provider on February 29, 2024 (10:00 PM).

Documentation

[freq] Time frequency

[A] Annual

[sex] Sex

[F] Females
[M] Males
[T] Total

[age] Age class

[TOTAL] Total
[UNK] Unknown
[Y15-64] From 15 to 64 years
[Y_GE65] 65 years or over
[Y_LT15] Less than 15 years

[metroreg] Metropolitan regions

[AL] Albania
[AL_NM] Non-metropolitan regions in Albania
[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
[CH001M] Zürich
[CH002M] Genève
[CH003M] Basel
[CH004MC] Bern
[CH005M] Lausanne
[CH006M] St. Gallen
[CH007M] Lucerne
[CH_NM] Non-metropolitan regions in Switzerland
[CY] Cyprus
[CY001MC] Lefkosia
[CZ] Czechia
[CZ001MC] Praha
[CZ002M] Brno
[CZ003M] Ostrava
[CZ004M] Plzen
[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
[FR_NM] Non-metropolitan regions in France
[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
[IS_NM] Non-metropolitan regions in 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
[LI] Liechtenstein
[LI_NM] Non-metropolitan regions in Liechtenstein
[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
[ME_NM] Non-metropolitan regions in Montenegro
[MK] North Macedonia
[MK_NM] Non-metropolitan regions in 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
[NO003M] Trondheim
[NO004M] Stavanger
[NO_NM] Non-metropolitan regions in Norway
[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
[RS] Serbia
[RS_NM] Non-metropolitan regions in Serbia
[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
[TR_NM] Non-metropolitan regions in 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
[UK013M] Newcastle upon Tyne
[UK014M] Leicester
[UK016M] Aberdeen
[UK017M] Cambridge
[UK018M] Exeter
[UK019M] Lincoln
[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
[UK561M] Milton Keynes
[UK566M] Norwich
[UK568M] Cheshire West and Chester
[UK569M] Ipswich

Search filters

Time frequency [freq] (1)

Sex [sex] (3)

Age class [age] (5)

Metropolitan regions [metroreg] (367)

This dataset has 5,505 series:

Trim NA Values

Series code	1990	1991	1992	1993	1994	1995	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022	2023	1996	1997	1998	1999
[A.F.TOTAL.BG003M]	233266	233211	233351	234107	232948	230967	224442	221910	237128	237714	238434	239107	239755	240414	241009	241492	242121	242294	242203	241781	242214	242175	241871	241964	241819	241638	241173	241499	240624	223689	NA	NA	NA	NA
[A.F.TOTAL.BG004M]	223612	223391	222985	222090	222482	222614	217870	217423	215577	214885	214444	214020	213635	213305	212940	212683	212662	212209	211808	211620	212041	212554	212594	212316	212060	211701	211475	212058	211705	196617	NA	NA	NA	NA
[A.F.TOTAL.BG_NM]	2738581	2699505	2677968	2636968	2630618	2620275	2533549	2517336	2376606	2340369	2306652	2275222	2243678	2213578	2183974	2156228	2130334	2102675	2083900	2063914	2043342	2022365	1999934	1976883	1955230	1934084	1914518	1902424	1871566	1753537	NA	NA	NA	NA
[A.F.TOTAL.CH]	3416313	3460226	3501103	3534043	3564707	3590651	3663736	3684357	3711304	3738824	3762609	3786406	3806626	3829380	3866480	3915181	3955240	3992708	4032409	4070536	4117540	4163786	4205655	4246113	4277696	4307406	4337170	4367701	4400588	4435432	3613512	3623725	3631222	3644848
[A.F.TOTAL.CH001M]	588263	589196	592832	595731	597600	600625	614046	619832	627011	633934	638039	643443	648261	653746	663946	675108	683799	694284	703352	710721	718749	728652	737907	748155	756070	763887	772596	779124	784417	791121	604107	605422	606490	609128
[A.F.TOTAL.CH002M]	195284	198199	200005	201445	203117	205239	211153	194409	216449	218840	221395	223036	224628	225831	227952	231654	235111	236930	238355	239364	242486	246779	250309	252412	255135	257632	259944	261023	262530	265107	207078	207003	207919	208918
[A.F.TOTAL.CH003M]	NA	NA	NA	NA	NA	NA	342532	327067	344268	345649	346516	346950	347003	347305	348767	350277	351516	348990	350353	352011	354417	356979	359499	361524	362847	363904	365114	365888	366623	369632	NA	NA	NA	NA
[A.F.TOTAL.CH004MC]	481295	484488	488010	490067	483977	484372	485360	457708	487121	488595	489643	491188	491924	492503	494137	497018	499332	501896	504222	507959	511767	515410	519225	522724	525215	527186	529304	530832	532864	534632	484717	484237	483006	484083
[A.F.TOTAL.CH005M]	295676	299612	304166	307245	309180	311805	318870	298549	323151	326132	329903	333760	337161	341021	345652	353635	359888	365401	371576	375373	382607	388259	394333	399433	403625	406616	409909	414545	418657	422222	313518	314134	314984	316704
[A.F.TOTAL.CH006M]	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	267413	269400	271007	273090	275101	276710	278202	279275	280738	282202	283822	286186	289091	NA	NA	NA	NA

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