Economic indicators by access to city typology — Population 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
37
Highest
287.75 million Persons
United States
Lowest
532,997 Persons
Malta
Median
5.74 million Persons
Years covered
31
1995–2025
Data points
1,164

What the numbers show

Economic indicators by access to city typology — Population is currently reported for 37 countries. The highest value is 287.75 million Persons in United States; the lowest is 532,997 Persons in Malta.

The median across all reporting countries is 5.74 million Persons, and the mean is 24.49 million Persons.

The gap between the highest and lowest reporting country is a factor of about 540.

Over the past decade 29 countries rose and 8 fell. The largest increase was in Malta (up 29.4%), and the largest decrease in Croatia (down 3.6%).

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

#Country LatestYear 10-year changeTrend
1 United States 287.75 million Persons 2024 up 7.4% rising
2 Japan 103.54 million Persons 2024 down 1.3% flat
3 Mexico 84.56 million Persons 2022 up 12.2% rising
4 Germany 58.55 million Persons 2025 up 3.4% rising
5 United Kingdom 52.43 million Persons 2024 up 7.4% rising
6 France 47.18 million Persons 2025 up 4.6% rising
7 Spain 37.17 million Persons 2025 up 6.8% rising
8 Colombia 30.51 million Persons 2025 up 13.6% rising
9 Italy 29.47 million Persons 2025 down 1.1% rising
10 Canada 27.89 million Persons 2024 up 19.3% rising
11 Australia 19.80 million Persons 2024 up 18.1% rising
12 Poland 19.12 million Persons 2025 up 0.0% flat
13 Chile 14.04 million Persons 2024 up 14.5% rising
14 Netherlands 13.28 million Persons 2025 up 7.2% rising
15 Romania 7.98 million Persons 2025 down 2.5% falling
16 Belgium 7.31 million Persons 2025 up 5.8% rising
17 Sweden 6.08 million Persons 2025 up 10.5% rising
18 Czechia 5.89 million Persons 2025 up 6.6% rising
19 Austria 5.74 million Persons 2025 up 8.5% rising
20 Switzerland 5.66 million Persons 2025 up 9.2% rising
21 Portugal 5.28 million Persons 2025 up 5.3% rising
22 Hungary 4.92 million Persons 2025 down 0.7% flat
23 Greece 4.68 million Persons 2025 down 1.2% flat
24 Denmark 4.20 million Persons 2025 up 7.2% rising
25 Ireland 3.12 million Persons 2025 up 16.6% rising
26 Bulgaria 3.09 million Persons 2025 down 2.3% falling
27 New Zealand 3.05 million Persons 2024 up 16.5% rising
28 Finland 2.82 million Persons 2025 up 8.9% rising
29 Norway 2.46 million Persons 2025 up 13.8% rising
30 Croatia 1.77 million Persons 2025 down 3.6% falling
31 Lithuania 1.59 million Persons 2025 up 4.4% falling
32 Slovenia 1.22 million Persons 2025 up 4.3% rising
33 Latvia 1.07 million Persons 2025 down 2.0% falling
34 Cyprus 982,966 Persons 2025 up 14.0% rising
35 Estonia 769,894 Persons 2025 up 10.0% rising
36 Luxembourg 681,973 Persons 2025 up 19.8% rising
37 Malta 532,997 Persons 2025 up 29.4% 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 — Population by country. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 23 August 2026, from https://economy.statizoid.com/stat/economic-indicators-by-access-to-city-typology-population/

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About this data

Indicator
Economic indicators by access to city typology — Population
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
40 places, 1,164 data points, 1995–2025
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.