[DSD_REG_ECO@DF_TYPE_METRO] Economic indicators by access to city typology
Updated by provider on July 9, 2024 (4:12 PM).
This dataset provides economic indicators aggregated at national level and broken down by territorial typology according to the population's access to cities.
Data source and definition
The indicators include GDP, GDP per capita, gross value added, employment at place of work and labour productivity by type of territory. Data is collected from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites.
The indicators are aggregated data at the national level, using the typology of small (TL3) regions to calculate totals or averages for all metropolitan large regions, metropolitan midsize regions, near a midsize/large FUA regions, near a small FUA regions and remote regions.
Territorial typology on the population's access to cities
Territorial typologies helps to assess differences in socio-economic trends in regions, both within and across countries and to highlight the specific issues faced by each type of region.
The OECD territorial typology on access to cities uses the concept of functional urban areas (FUA) – composed of urban centres and their commuting areas – and classifies small (TL3) regions (Fadic et al., 2019) according to the following criteria:
- Metropolitan regions, if more than half of the population live in a FUA. Metropolitan regions are further classified into: metropolitan large, if more than half of the population live in a (large) FUA of at least 1.5 million inhabitants; and metropolitan midsize, if more than half of the population live in a (midsize) FUA of at 250 000 to 1.5 million inhabitants.
- Non-metropolitan regions, if less than half of the population live in a midsize/large FUA. These regions are further classified according to their level of access to FUAs of different sizes: near a midsize/large FUA if more than half of the population live within a 60-minute drive from a midsize/large FUA (of more than 250 000 inhabitants) or if the TL3 region contains more than 80% of the area of a midsize/large FUA; near a small FUA if the region does not have access to a midsize/large FUA and at least half of its population have access to a small FUA (i.e. between 50 000 and 250 000 inhabitants) within a 60-minute drive, or contains 80% of the area of a small FUA; and remote, otherwise.
List of OECD regions and typologies are presented in the OECD Territorial correspondence table (xlsx). Maps of OECD regions are presented in the OECD Territorial grid (pdf).
Cite this dataset
OECD Regions and Cities databases http://oe.cd/geostats
Further information
- The interactive web-tool OECD Regions and Cities Statistical Atlas
- The report OECD Regions and Cities at a Glance
Contact: RegionStat@oecd.org
[FREQ] Frequency of observation
- [A] Annual
[TERRITORIAL_LEVEL] Territorial level
- [CTRY] Country
[REF_AREA] Reference area
- [AUS] Australia
- [AUT] Austria
- [BEL] Belgium
- [BGR] Bulgaria
- [CAN] Canada
- [CHE] Switzerland
- [CHL] Chile
- [COL] Colombia
- [CZE] Czechia
- [DEU] Germany
- [DNK] Denmark
- [ESP] Spain
- [EST] Estonia
- [FIN] Finland
- [FRA] France
- [GBR] United Kingdom
- [GRC] Greece
- [HRV] Croatia
- [HUN] Hungary
- [IRL] Ireland
- [ISL] Iceland
- [ITA] Italy
- [JPN] Japan
- [KOR] Korea
- [LTU] Lithuania
- [LUX] Luxembourg
- [LVA] Latvia
- [MEX] Mexico
- [MLT] Malta
- [NLD] Netherlands
- [NOR] Norway
- [NZL] New Zealand
- [POL] Poland
- [PRT] Portugal
- [ROU] Romania
- [SRB] Serbia
- [SVK] Slovak Republic
- [SVN] Slovenia
- [SWE] Sweden
- [TUR] Türkiye
- [USA] United States
[TERRITORIAL_TYPE] Territorial typology
- [MR] Metropolitan region
- [MR_L] Metropolitan large region
- [MR_M] Metropolitan midsize region
- [NMR_FAR] Region far from a midsize/large FUA
- [NMR_M] Region near a metropolitan area
- [NMR_R] Remote region
- [NMR_S] Region near a small FUA
- [TYPO_METRO] Total typology on access to city
[MEASURE] Measure
- [B5N] Primary incomes, net
- [B6N] Disposable income, net
- [EMP] Employment
- [GDP] Gross domestic product
- [GVA] Value added, gross
- [LAB_PROD] Labour productivity
- [POP] Population
- [TB] Trade balance
[ACTIVITY] Economic activity
- [A] Agriculture, forestry and fishing
- [BTE] Industry (except construction)
- [C] Manufacturing
- [F] Construction
- [GTI] Wholesale and retail trade; repair of motor vehicles and motorcycles; transportation and storage; accommodation and food service activities
- [J] Information and communication
- [K] Financial and insurance activities
- [L] Real estate activities
- [M_N] Professional, scientific and technical activities; administrative and support service activities
- [OTQ] Public administration, defence, education, human health and social work activities
- [RTU] Arts, entertainment and recreation; other service activities; activities of household and extra-territorial organizations and bodies
- [_T] Total - all activities
[PRICES] Price base
- [Q] Constant prices
- [V] Current prices
- [_Z] Not applicable
[UNIT_MEASURE] Unit of measure
- [PS] Persons
- [PT_B1G] Percentage of gross value added
- [PT_EMP] Percentage of employment
- [PT_POP] Percentage of population
- [USD_PPP] US dollars, PPP converted
- [USD_PPP_PS] US dollars per person, PPP converted
- [USD_PPP_WR] US dollars per worker, PPP converted
- [XDC] National currency
- [XDC_HH_EQ] National currency per equivalised household
- [XDC_PS] National currency per person
- [XDC_WR] National currency per worker
This dataset has 29,032 series:
- from
- 1999=65,898
- to
- 2023=64,694
- min:
- 50,264
- max:
- 70,516
- avg:
- 60,439.84
- σ:
- 5,714.999
- from
- 1999=1.07
- to
- 2023=0.62
- min:
- 0.61
- max:
- 1.07
- avg:
- 0.768
- σ:
- 0.158
- from
- 1999=873,957
- to
- 2023=946,755
- min:
- 862,016
- max:
- 946,755
- avg:
- 899,739.44
- σ:
- 21,697.676
- from
- 1999=14.21
- to
- 2023=9.05
- min:
- 8.78
- max:
- 14.3
- avg:
- 11.381
- σ:
- 1.687
- from
- 1999=793,657
- to
- 2023=672,548
- min:
- 624,988
- max:
- 819,759
- avg:
- 726,092.84
- σ:
- 58,225.895
- from
- 1999=12.9
- to
- 2023=6.43
- min:
- 6.18
- max:
- 12.98
- avg:
- 9.297
- σ:
- 2.127
- from
- 1999=470,573
- to
- 2023=977,011
- min:
- 470,573
- max:
- 977,011
- avg:
- 704,698.08
- σ:
- 140,186.231
- from
- 1999=7.65
- to
- 2023=9.34
- min:
- 7.57
- max:
- 9.34
- avg:
- 8.656
- σ:
- 0.523
- from
- 1999=1,749,157
- to
- 2023=2,502,191
- min:
- 1,740,251
- max:
- 2,502,191
- avg:
- 2,114,466.56
- σ:
- 227,919.395
- from
- 1999=28.44
- to
- 2023=23.93
- min:
- 23.93
- max:
- 28.44
- avg:
- 26.335
- σ:
- 1.19
Series code | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[A.CTRY.AUS.MR.EMP.A._Z.PS] | 65898 | 66308 | 68195 | 70516 | 64310 | 60937 | 65668 | 56551 | 59258 | 51582 | 51379 | 56258 | 57514 | 54175 | 50264 | 52870 | 53764 | 63407 | 60856 | 60767 | 59999 | 65803 | 66093 | 63930 | 64694 |
[A.CTRY.AUS.MR.EMP.A._Z.PT_EMP] | 1.07 | 1.05 | 1.06 | 1.07 | 0.96 | 0.89 | 0.93 | 0.78 | 0.79 | 0.67 | 0.66 | 0.71 | 0.71 | 0.66 | 0.61 | 0.63 | 0.62 | 0.72 | 0.67 | 0.65 | 0.63 | 0.71 | 0.69 | 0.63 | 0.62 |
[A.CTRY.AUS.MR.EMP.BTE._Z.PS] | 873957 | 903442 | 885764 | 904580 | 889733 | 895056 | 879341 | 886874 | 900480 | 940222 | 909130 | 907095 | 906651 | 936130 | 915381 | 902428 | 868379 | 884434 | 862016 | 925858 | 898305 | 869824 | 913680 | 887971 | 946755 |
[A.CTRY.AUS.MR.EMP.BTE._Z.PT_EMP] | 14.21 | 14.3 | 13.78 | 13.77 | 13.28 | 13.12 | 12.42 | 12.25 | 12.06 | 12.2 | 11.72 | 11.42 | 11.21 | 11.39 | 11.02 | 10.74 | 10.05 | 10.01 | 9.53 | 9.97 | 9.42 | 9.34 | 9.48 | 8.78 | 9.05 |
[A.CTRY.AUS.MR.EMP.C._Z.PS] | 793657 | 819759 | 799309 | 814787 | 794060 | 792708 | 764085 | 763176 | 771645 | 780155 | 746242 | 723818 | 709752 | 707750 | 688995 | 693843 | 661059 | 690201 | 665637 | 702097 | 661661 | 634648 | 675741 | 624988 | 672548 |
[A.CTRY.AUS.MR.EMP.C._Z.PT_EMP] | 12.9 | 12.98 | 12.44 | 12.4 | 11.86 | 11.62 | 10.79 | 10.55 | 10.33 | 10.13 | 9.62 | 9.11 | 8.77 | 8.61 | 8.3 | 8.26 | 7.65 | 7.81 | 7.36 | 7.56 | 6.94 | 6.82 | 7.01 | 6.18 | 6.43 |
[A.CTRY.AUS.MR.EMP.F._Z.PS] | 470573 | 496920 | 486126 | 507662 | 535711 | 560993 | 596387 | 635819 | 644822 | 696253 | 700263 | 714297 | 727069 | 699420 | 711622 | 738255 | 763226 | 784351 | 829059 | 867545 | 865186 | 861070 | 840839 | 906973 | 977011 |
[A.CTRY.AUS.MR.EMP.F._Z.PT_EMP] | 7.65 | 7.87 | 7.57 | 7.73 | 8 | 8.22 | 8.42 | 8.79 | 8.64 | 9.04 | 9.03 | 8.99 | 8.99 | 8.51 | 8.57 | 8.79 | 8.84 | 8.88 | 9.17 | 9.34 | 9.08 | 9.25 | 8.72 | 8.97 | 9.34 |
[A.CTRY.AUS.MR.EMP.GTI._Z.PS] | 1749157 | 1740251 | 1771128 | 1798970 | 1845025 | 1875012 | 1941792 | 1940527 | 2038003 | 2079975 | 2104624 | 2108534 | 2142303 | 2137440 | 2193304 | 2178176 | 2253352 | 2270197 | 2326839 | 2380909 | 2415580 | 2265600 | 2327575 | 2475200 | 2502191 |
[A.CTRY.AUS.MR.EMP.GTI._Z.PT_EMP] | 28.44 | 27.55 | 27.56 | 27.38 | 27.55 | 27.49 | 27.42 | 26.81 | 27.3 | 26.99 | 27.14 | 26.54 | 26.48 | 26.01 | 26.41 | 25.92 | 26.09 | 25.69 | 25.74 | 25.63 | 25.34 | 24.34 | 24.14 | 24.48 | 23.93 |
Showing results 1 - 10 / 29,032