China (People's Republic of) vs India: Population density - Regions

China (People's Republic of)
1.41 billion Persons
in 2024
India
1.35 billion Persons
in 2022
China (People's Republic of) rank
1st
India rank
1st

Population density - Regions over time

  • China (People's Republic of)
  • India
0500.0M1.0B1.5B199120072024

How they compare

China (People's Republic of) currently reports 1.41 billion Persons against 1.35 billion Persons in India, a difference of 53.58 million Persons.

Across all 20 years both countries report, China (People's Republic of) has been ahead every year.

China (People's Republic of) ranks 1st and India ranks 1st of 3 groups.

China (People's Republic of) has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade China (People's Republic of) India Difference Ahead
2000s 1.30 billion Persons 1.11 billion Persons 191.64 million Persons China (People's Republic of)
2010s 1.38 billion Persons 1.26 billion Persons 120.11 million Persons China (People's Republic of)
2020s 1.41 billion Persons 1.34 billion Persons 70.63 million Persons China (People's Republic of)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher population density - regions, China (People's Republic of) or India?
China (People's Republic of), at 1.41 billion Persons against 1.35 billion Persons in India as of 2024.
What is the difference in population density - regions between China (People's Republic of) and India?
53.58 million Persons, with China (People's Republic of) ahead.
How many years of comparable data are there for China (People's Republic of) and India?
20 years are reported by both, from 2001 to 2022.
How do China (People's Republic of) and India rank globally for population density - regions?
China (People's Republic of) ranks 1st and India ranks 1st of 3 groups.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Population density - Regions. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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China (People's Republic of) vs India: Population density - Regions. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 20 August 2026, from https://population.statizoid.com/compare/population-density-regions/china-people-s-republic-of/india/

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About this data

Indicator
Population density - Regions
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
57 places, 1,906 data points, 1990–2025
Last refreshed

This dataset provides indicators on population density and land areas, in large (TL2) regions and small (TL3) regions. Data definition and source Population density per land area excludes inland water bodies. This indicator measures the number of people residing in small TL3 and large TL2 regions per square kilometers. Data is collected from Eurostat (reg_dem) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. Definition of regions Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). For more information, see the OECD Territorial grid (pdf) and the OECD Territorial Correspondence Table (xlsx). Use of data on small regions When demographic data are analysed along with economic data using the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting, see the list of OECD metropolitan regions (xlsx) and the EU methodology (link). Territorial typologies Small TL3 regions are categorized based on shared characteristics into regional typologies. See the demographic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link). 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.