Finland vs Serbia: Dependency rates - Regions — Dependency ratio
Dependency rates - Regions — Dependency ratio over time
- Finland
- Serbia
How they compare
Finland currently reports 38.11 Percentage of population aged 15-64 years against 36.16 Percentage of population aged 15-64 years in Serbia, a difference of 1.95 Percentage of population aged 15-64 years.
That makes Finland's figure about 1.1 times Serbia's.
The two have swapped places 1 time across 27 shared years of data; in 1999 it was Serbia ahead.
Finland ranks 5th and Serbia ranks 8th of 49 countries.
Across the 4 decades both report, Finland averaged higher in 2 and Serbia in 2.
Head to head by decade
| Decade | Finland | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 22 Percentage of population aged 15-64 years | 22.99 Percentage of population aged 15-64 years | 0.99 Percentage of population aged 15-64 years | Serbia |
| 2000s | 23.6 Percentage of population aged 15-64 years | 25.04 Percentage of population aged 15-64 years | 1.44 Percentage of population aged 15-64 years | Serbia |
| 2010s | 30.54 Percentage of population aged 15-64 years | 27.49 Percentage of population aged 15-64 years | 3.05 Percentage of population aged 15-64 years | Finland |
| 2020s | 37.31 Percentage of population aged 15-64 years | 34.17 Percentage of population aged 15-64 years | 3.13 Percentage of population aged 15-64 years | Finland |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dependency rates - regions — dependency ratio, Finland or Serbia?
- Finland, at 38.11 Percentage of population aged 15-64 years against 36.16 Percentage of population aged 15-64 years in Serbia as of 2025.
- What is the difference in dependency rates - regions — dependency ratio between Finland and Serbia?
- 1.95 Percentage of population aged 15-64 years, with Finland ahead.
- How many years of comparable data are there for Finland and Serbia?
- 27 years are reported by both, from 1999 to 2025.
- How do Finland and Serbia rank globally for dependency rates - regions — dependency ratio?
- Finland ranks 5th and Serbia ranks 8th of 49 countries.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Dependency rates - Regions — Dependency ratio. 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 dependency rates, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <p style="text-align: justify;">The dependency ratio is a demographic indicator that measures the ratio of dependents (typically defined as those too young or too old to work) to the working-age population. The most common age ranges used for the working-age population are 20-64 and 15-64. 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>