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Data are not updated anymore. We invite you to use instead our new data dissemination platform OECD Data Explorer.

To find the corresponding OECD Data Explorer dataset, see this Excel file.


Statistics presented in this dataset correspond to a previous version of the Functional Urban Areas’ and cities’ boundaries. This dataset is no longer updated. Latest update: November 2022.

Please refer to the City Statistics dataset for the most updated version of FUA and city indicators.

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Metropolitan areasInformation on dimension
Hide subtree AUS: Australia..
AUS01: Greater Sydney..
AUS02: Greater Melbourne..
AUS03: Greater Brisbane..
AUS04: Greater Perth..
AUS05: Greater Adelaide..
AUS06: Gold Coast..
AUS07: Canberra..
AUS08: Newcastle..
AUS10: Wollongong..
AUS14: Geelong..
Hide subtree AUT: Austria..
AT001: Vienna0.27
AT002: Graz0.27
AT003: Linz0.25
AT004: Salzburg..
AT005: Innsbruck..
AT006: Klagenfurt..
Hide subtree BEL: Belgium..
BE001: Brussels..
BE002: Antwerp0.30
BE003: Gent0.29
BE004: Charleroi..
BE005: Liege0.31
Hide subtree CAN: Canada..
CAN01: Toronto0.41
CAN02: Montreal0.35
CAN03: Vancouver0.40
CAN04: Ottawa..
CAN05: Calgary0.45
CAN06: Edmonton..
CAN07: Quebec..
CAN08: Winnipeg0.36
CAN09: Hamilton0.34
CAN10: London0.35
CAN11: Kitchener..
CAN12: Halifax0.34
CAN13: Victoria0.35
CAN14: Windsor0.36
CAN15: Saskatoon0.36
CAN16: Sherbrooke0.30
Hide subtree CHE: Switzerland..
CH001: Zurich..
CH002: Geneva..
CH003: Basel..
CH004: Bern..
CH005: Lausanne..
Hide subtree CHL: Chile..
CL004: Antofagasta..
CL006: Coquimbo-La Serena..
CL010: Valparaiso..
CL011: Santiago..
CL014: Rancagua..
CL017: Talca..
CL020: Concepcion..
CL022: Temuco..
CL025: Puerto Montt..
Hide subtree COL: Colombia..
COL01: Bogota D.C...
COL02: Medellin..
COL03: Cali..
COL04: Barranquilla..
COL05: Cartagena..
COL06: Bucaramanga..
COL07: Cucuta..
COL08: Pereira..
COL09: Ibague..
COL10: Manizales..
COL11: Santa Marta..
COL12: Pasto..
COL13: Armenia..
COL14: Villavicencio..
COL15: Monteria..
COL16: Valledupar..
COL17: Buenaventura..
COL18: Neiva..
COL19: Palmira..
COL20: Popayan..
COL21: Sincelejo..
COL25: Riohacha..
Hide subtree CZE: Czechia..
CZ001: Prague..
CZ002: Brno..
CZ003: Ostrava..
CZ004: Plzen..
Hide subtree DEU: Germany..
DE001: Berlin..
DE002: Hamburg..
DE003: Munich..
DE004: Cologne..
DE005: Frankfurt am Main..
DE007: Stuttgart..
DE008: Leipzig..
DE009: Dresden..
DE011: Dusseldorf..
DE012: Bremen..
DE013: Hanover..
DE014: Nuremberg..
DE017: Bielefeld..
DE018: Halle an der Saale..
DE019: Magdeburg..
DE020: Wiesbaden..
DE021: Gottingen..
DE025: Darmstadt..
DE026: Trier..
DE027: Freiburg im Breisgau..
DE028: Regensburg..
DE031: Schwerin..
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Data extracted on 22 Apr 2024 08:34 UTC (GMT) from OECD.Stat


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