Dependency rates - Regions β Dependency ratio in Brazil
Brazil: Dependency rates - Regions β Dependency ratio was 13.28 Percentage of population aged 15-64 years in 2018. β² Rising
Dependency rates - Regions β Dependency ratio in Brazil, 2000β2018
Source: Organisation for Economic Co-operation and Development. Measured in Percentage of population aged 15-64 years.
Analysis
In 2018, dependency rates - regions β dependency ratio in Brazil stood at 13.28 Percentage of population aged 15-64 years. That is the highest value across all 19 years on record.
That represents a change of up 3.2% on the previous year and up 29.3% over ten years.
Over the whole period, dependency rates - regions β dependency ratio in Brazil peaked at 13.28 Percentage of population aged 15-64 years in 2018 and was at its lowest, 9.07 Percentage of population aged 15-64 years, in 2000.
Brazil ranks 45th of 49 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 19 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 9.74 Percentage of population aged 15-64 years | 9.07 Percentage of population aged 15-64 years | 10.51 Percentage of population aged 15-64 years | 10 |
| 2010s | 11.9 Percentage of population aged 15-64 years | 10.77 Percentage of population aged 15-64 years | 13.28 Percentage of population aged 15-64 years | 9 |
Countries ranked near Brazil
- 42 Costa Rica 18.65 Percentage of population aged 15-64 years compare
- 43 Argentina 18.48 Percentage of population aged 15-64 years compare
- 44 Colombia 15.26 Percentage of population aged 15-64 years compare
- 46 Mexico 12.88 Percentage of population aged 15-64 years compare
- 47 Tunisia 12.54 Percentage of population aged 15-64 years compare
- 48 Peru 10.01 Percentage of population aged 15-64 years compare
More reference data data for Brazil
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 13.82 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 72.83 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 139.27 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 9.01 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 139.27 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 46.34 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 18.99 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 405.35 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 699.19 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 49.04 (2050)
Frequently asked questions
- What is dependency rates - regions β dependency ratio in Brazil?
- Dependency rates - regions β dependency ratio in Brazil was 13.28 Percentage of population aged 15-64 years in 2018, according to Organisation for Economic Co-operation and Development.
- What is the highest dependency rates - regions β dependency ratio recorded in Brazil?
- The highest recorded value was 13.28 Percentage of population aged 15-64 years in 2018.
- What is the lowest dependency rates - regions β dependency ratio recorded in Brazil?
- The lowest recorded value was 9.07 Percentage of population aged 15-64 years in 2000.
- How does Brazil rank for dependency rates - regions β dependency ratio?
- Brazil ranks 45th out of 49 countries with data for 2018.
- Is dependency rates - regions β dependency ratio rising or falling in Brazil?
- Over the last ten years it is up 29.3%. The long-run trend across the full record is rising.
- Where does this Brazil data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Dependency rates - Regions β Dependency ratio. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 19 observations, free to reuse under OECD Terms and Conditions (attribution required).
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>