Economic indicators by access to city typology — Employment by country

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...

Countries reporting
32
Highest
134.70 million Persons
United States
Lowest
308,430 Persons
Malta
Median
2.83 million Persons
Years covered
32
1993–2024
Data points
817

What the numbers show

Economic indicators by access to city typology — Employment is currently reported for 32 countries. The highest value is 134.70 million Persons in United States; the lowest is 308,430 Persons in Malta.

The median across all reporting countries is 2.83 million Persons, and the mean is 10.93 million Persons.

The gap between the highest and lowest reporting country is a factor of about 437.

Economic indicators by access to city typology — Employment: full country ranking

#Country LatestYear 10-year changeTrend
1 United States 134.70 million Persons 2022 up 14.5% rising
2 Japan 57.22 million Persons 2021 volatile
3 Germany 33.04 million Persons 2023 up 9.6% rising
4 France 22.29 million Persons 2024 up 12.6% rising
5 Spain 16.63 million Persons 2023 up 21.2% rising
6 Italy 13.90 million Persons 2023 up 10.1% rising
7 Australia 10.46 million Persons 2023 up 25.9% rising
8 Poland 10.20 million Persons 2023 up 19.6% rising
9 Netherlands 7.70 million Persons 2024 up 18.8% rising
10 Romania 3.86 million Persons 2024 up 5.5% falling
11 Switzerland 3.71 million Persons 2023 up 13.2% rising
12 Belgium 3.26 million Persons 2024 up 12.1% rising
13 Sweden 3.22 million Persons 2024 up 14.4% rising
14 Czechia 3.13 million Persons 2024 up 10.5% rising
15 Austria 3.04 million Persons 2023 up 13.8% rising
16 Hungary 2.96 million Persons 2024 up 18.6% rising
17 Portugal 2.70 million Persons 2023 up 22.9% flat
18 Greece 2.46 million Persons 2023 up 25.0% rising
19 Denmark 2.31 million Persons 2024 up 17.6% rising
20 Bulgaria 2.10 million Persons 2023 up 21.7% rising
21 Ireland 1.69 million Persons 2024 up 40.7% rising
22 New Zealand 1.68 million Persons 2023 up 32.5% rising
23 Finland 1.48 million Persons 2024 up 15.6% rising
24 Norway 1.28 million Persons 2018 up 10.9% rising
25 Lithuania 884,460 Persons 2024 up 19.9% rising
26 Croatia 831,470 Persons 2024 up 12.2% rising
27 Slovenia 680,800 Persons 2024 up 21.1% rising
28 Latvia 582,870 Persons 2023 up 7.0% flat
29 Luxembourg 516,030 Persons 2024 up 30.6% rising
30 Cyprus 506,700 Persons 2024 up 39.4% rising
31 Estonia 420,470 Persons 2024 up 18.9% rising
32 Malta 308,430 Persons 2024 up 64.1% rising

Regions and income groups

Aggregates are excluded from the country ranking above so that a region can never outrank a country.

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Economic indicators by access to city typology — Employment by country. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 30 August 2026, from https://economy.statizoid.com/stat/economic-indicators-by-access-to-city-typology-employment/

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About this data

Indicator
Economic indicators by access to city typology — Employment
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
34 places, 817 data points, 1993–2024
Last refreshed

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 For more information, see the OECD Territorial grid (pdf). Cite this dataset OECD Regions, Cities and Local Areas database http://oe.cd/geostats. Further information OECD Regions and Cities Statistical Atlas OECD Regions and Cities at a Glance For questions and/or comments, please email RegionStat@oecd.org.