[met_10r_3pgdp] Average annual population to calculate regional GDP data by metropolitan regions
Updated by provider on February 23, 2023 (4:04 PM).
[FREQ] Frequency
- [A] Annual
[unit] Unit of measure
- [THS] Thousand
[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
- [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
- [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
- [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
- [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
Search filters
Frequency [FREQ] (1)
Unit of measure [unit] (1)
Metropolitan regions [metroreg] (318)
This dataset has 318 series:
- from
- 2008=2,947.31
- to
- 2021=2,811.67
- min:
- 2,811.67
- max:
- 2,947.31
- avg:
- 2,884.142
- σ:
- 34.181
- from
- 2008=2,947.33
- to
- 2021=2,811.68
- min:
- 2,811.68
- max:
- 2,947.33
- avg:
- 2,884.151
- σ:
- 34.183
- from
- 2000=8,011.57
- to
- 2021=8,951.52
- min:
- 8,011.57
- max:
- 8,951.52
- avg:
- 8,446.377
- σ:
- 292.165
- from
- 2000=2,366.82
- to
- 2020=2,881.37
- min:
- 2,366.82
- max:
- 2,881.37
- avg:
- 2,616.033
- σ:
- 157.5
- from
- 2000=543.52
- to
- 2020=644.91
- min:
- 543.52
- max:
- 644.91
- avg:
- 592.773
- σ:
- 30.211
- from
- 2000=723.71
- to
- 2020=807.36
- min:
- 723.71
- max:
- 807.36
- avg:
- 759.453
- σ:
- 25.235
- from
- 2000=330.65
- to
- 2020=370.2
- min:
- 330.65
- max:
- 370.2
- avg:
- 347.499
- σ:
- 11.913
- from
- 2000=273.26
- to
- 2020=312.75
- min:
- 268.68
- max:
- 312.75
- avg:
- 288.025
- σ:
- 14.816
- from
- 2000=3,773.63
- to
- 2020=3,900.28
- min:
- 3,772.82
- max:
- 3,900.28
- avg:
- 3,818.56
- σ:
- 39.37
- from
- 2000=10,251
- to
- 2021=11,592
- min:
- 10,251
- max:
- 11,592
- avg:
- 10,921.273
- σ:
- 443.624
Series code | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.THS.AL] | - | - | - | - | - | - | - | - | 2947.31 | 2927.52 | 2913.02 | 2905.2 | 2900.4 | 2895.09 | 2889.1 | 2880.7 | 2876.1 | 2873.46 | 2866.38 | 2854.19 | 2837.85 | 2811.67 |
[A.THS.AL_NM] | - | - | - | - | - | - | - | - | 2947.33 | 2927.53 | 2913.03 | 2905.19 | 2900.42 | 2895.1 | 2889.12 | 2880.7 | 2876.11 | 2873.47 | 2866.39 | 2854.2 | 2837.85 | 2811.68 |
[A.THS.AT] | 8011.57 | 8042.29 | 8082.12 | 8118.25 | 8169.44 | 8225.28 | 8267.95 | 8295.19 | 8321.54 | 8341.48 | 8361.07 | 8388.53 | 8426.31 | 8477.23 | 8543.93 | 8629.52 | 8739.81 | 8795.07 | 8837.71 | 8877.64 | 8916.85 | 8951.52 |
[A.THS.AT001MC] | 2366.82 | 2382.42 | 2421.17 | 2444.42 | 2471.64 | 2502.11 | 2525.74 | 2542.58 | 2559.69 | 2574.96 | 2590.67 | 2608.81 | 2632.72 | 2664.61 | 2699.93 | 2742.12 | 2793.21 | 2823.98 | 2845.04 | 2862.69 | 2881.37 | - |
[A.THS.AT002M] | 543.52 | 545.76 | 556.48 | 560.21 | 565.24 | 570.57 | 575.09 | 578.91 | 582.41 | 585.57 | 589.2 | 593.22 | 597.56 | 602.23 | 608.17 | 617.48 | 626.33 | 630.79 | 634.97 | 639.62 | 644.91 | - |
[A.THS.AT003M] | 723.71 | 725.16 | 729.28 | 733.05 | 737.53 | 741.89 | 745.4 | 747.93 | 750.1 | 751.56 | 752.82 | 754.96 | 758.31 | 762.56 | 768.99 | 776.96 | 786.74 | 792.65 | 798.19 | 803.36 | 807.36 | - |
[A.THS.AT004M] | 330.65 | 331.72 | 333.7 | 334.72 | 337.04 | 339.27 | 341.18 | 341.97 | 342.74 | 343.33 | 343.99 | 345.28 | 346.94 | 349.06 | 351.91 | 355.96 | 360.64 | 363.44 | 365.79 | 367.95 | 370.2 | - |
[A.THS.AT005M] | 273.26 | 274.13 | 268.68 | 269.99 | 272.26 | 274.89 | 277.37 | 278.78 | 280.07 | 281.58 | 283.23 | 285.24 | 288.29 | 292.06 | 296.36 | 301.3 | 306.8 | 309.11 | 310.62 | 311.75 | 312.75 | - |
[A.THS.AT_NM] | 3773.63 | 3783.13 | 3772.82 | 3775.89 | 3785.74 | 3796.56 | 3803.19 | 3805.02 | 3806.57 | 3804.5 | 3801.18 | 3801.06 | 3802.51 | 3806.74 | 3818.61 | 3835.71 | 3866.11 | 3875.11 | 3883.12 | 3892.29 | 3900.28 | - |
[A.THS.BE] | 10251 | 10287 | 10333 | 10376 | 10421 | 10479 | 10548 | 10626 | 10710 | 10796 | 10896 | 11038 | 11107 | 11159 | 11209 | 11274 | 11331 | 11375 | 11427 | 11489 | 11544 | 11592 |
Showing results 1 - 10 / 318