Korea vs Russia: Population density - Regions
Population density - Regions over time
- Korea
- Russia
How they compare
Russia currently reports 146.65 million Persons against 51.22 million Persons in Korea, a difference of 95.43 million Persons.
That makes Russia's figure about 2.9 times Korea's.
Across all 31 years both countries report, Russia has been ahead every year.
Korea ranks 2nd and Russia ranks 5th of 3 groups.
Russia has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Korea | Russia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 44.82 million Persons | 149.98 million Persons | 105.16 million Persons | Russia |
| 2000s | 48.17 million Persons | 146.35 million Persons | 98.18 million Persons | Russia |
| 2010s | 51.24 million Persons | 145.92 million Persons | 94.68 million Persons | Russia |
| 2020s | 51.83 million Persons | 146.65 million Persons | 94.82 million Persons | Russia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher population density - regions, Korea or Russia?
- Russia, at 146.65 million Persons against 51.22 million Persons in Korea as of 2020.
- What is the difference in population density - regions between Korea and Russia?
- 95.43 million Persons, with Russia ahead.
- How many years of comparable data are there for Korea and Russia?
- 31 years are reported by both, from 1990 to 2020.
- How do Korea and Russia rank globally for population density - regions?
- Korea ranks 2nd and Russia ranks 5th 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.
Individual pages
About this data
<p>This dataset provides indicators on population density and land areas, in large (TL2) regions and small (TL3) regions.</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">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.</p> <p><strong>Definition of regions</strong></p> <p style="text-align: justify;">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 <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD_territorial-grid_TL2024.pdf">(pdf)</a> and the OECD Territorial Correspondence Table <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a>. </p> <p><strong>Use of data on small regions</strong></p> <p style="text-align: justify;">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 <a href="https://webfs-cfe.oecd.org/files/.Stat/region/OECD%20Territorial%20correspondence%20-%20TL2024c.xlsx">(xlsx)</a> and the EU methodology <a href="https://ec.europa.eu/eurostat/web/metropolitan-regions/background">(link)</a>.</p> <p><strong>Territorial typologies</strong></p> <p style="text-align: justify;">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 <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_METRO&df[ag]=OECD.CFE.EDS&df[vs]=1.0">(link)</a> and by urban-rural typology <a href="https://data-explorer.oecd.org/vis?df[ds]=dsDisseminateFinalDMZ&df[id]=DSD_REG_DEMO%40DF_REGION_TYPE_RURB&df[ag]=OECD.CFE.EDS&df[vs]=1.0">(link)</a>. </p> <p><strong>Cite this dataset</strong></p> <p>OECD Regions, Cities and Local Areas database <a href="http://oe.cd/geostats">http://oe.cd/geostats</a>.</p> <p><strong>Further information</strong></p> <ul> <li><a href="https://regions-cities-atlas.oecd.org/">OECD Regions and Cities Statistical Atlas</a> </li> <li><a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html">OECD Regions and Cities at a Glance</a></li> </ul> <p>For questions and/or comments, please email <a href="mailto:RegionStat@oecd.org">RegionStat@oecd.org</a>.</p>