India vs Indonesia: Population by 5-year age groups - Regions
Population by 5-year age groups - Regions over time
- India
- Indonesia
How they compare
India currently reports 1.35 billion Persons against 284.83 million Persons in Indonesia, a difference of 1.07 billion Persons.
That makes India's figure about 4.7 times Indonesia's.
Across all 16 years both countries report, India has been ahead every year.
India ranks 1st and Indonesia ranks 3rd of 51 countries.
India has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | India | Indonesia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.15 billion Persons | 231.05 million Persons | 915.41 million Persons | India |
| 2010s | 1.26 billion Persons | 254.22 million Persons | 1.00 billion Persons | India |
| 2020s | 1.34 billion Persons | 272.82 million Persons | 1.07 billion Persons | India |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher population by 5-year age groups - regions, India or Indonesia?
- India, at 1.35 billion Persons against 284.83 million Persons in Indonesia as of 2022.
- What is the difference in population by 5-year age groups - regions between India and Indonesia?
- 1.07 billion Persons, with India ahead.
- How many years of comparable data are there for India and Indonesia?
- 16 years are reported by both, from 2005 to 2022.
- How do India and Indonesia rank globally for population by 5-year age groups - regions?
- India ranks 1st and Indonesia ranks 3rd of 51 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Population by 5-year age groups - Regions. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
<p style="text-align: justify;">This dataset provides regional population indicators by sex and 5-year age groups, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">Population data refer to the usual resident population on January 1st for EU countries, Iceland, Israel, Norway, Switzerland and Türkiye. Mid-year population estimates for Australia, Canada, Chile, Colombia, Costa Rica, Korea, Mexico, New Zeland, United Kingdom and the United States. October 1st for Japan. 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>