Deaths by 5-year age groups - Regions in Brazil
Brazil: Deaths by 5-year age groups - Regions was 6.35 Per 1 000 inhabitants in 2016. β² Rising
Deaths by 5-year age groups - Regions in Brazil, 2000β2016
Source: Organisation for Economic Co-operation and Development. Measured in Per 1 000 inhabitants.
Analysis
The most recent figure for deaths by 5-year age groups - regions in Brazil is 6.35 Per 1 000 inhabitants, measured in 2016. That is the highest value across all 17 years on record.
The figure is up 2.8% on the previous year and up 15.0% over ten years.
Over the whole period, deaths by 5-year age groups - regions in Brazil peaked at 6.35 Per 1 000 inhabitants in 2016 and was at its lowest, 5.45 Per 1 000 inhabitants, in 2000.
Brazil ranks 41st of 47 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 17 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 5.58 Per 1 000 inhabitants | 5.45 Per 1 000 inhabitants | 5.73 Per 1 000 inhabitants | 10 |
| 2010s | 6.07 Per 1 000 inhabitants | 5.83 Per 1 000 inhabitants | 6.35 Per 1 000 inhabitants | 7 |
Countries ranked near Brazil
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 deaths by 5-year age groups - regions in Brazil?
- Deaths by 5-year age groups - regions in Brazil was 6.35 Per 1 000 inhabitants in 2016, according to Organisation for Economic Co-operation and Development.
- What is the highest deaths by 5-year age groups - regions recorded in Brazil?
- The highest recorded value was 6.35 Per 1 000 inhabitants in 2016.
- What is the lowest deaths by 5-year age groups - regions recorded in Brazil?
- The lowest recorded value was 5.45 Per 1 000 inhabitants in 2000.
- How does Brazil rank for deaths by 5-year age groups - regions?
- Brazil ranks 41st out of 47 countries with data for 2016.
- Is deaths by 5-year age groups - regions rising or falling in Brazil?
- Over the last ten years it is up 15.0%. 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 Deaths by 5-year age groups - Regions. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 17 observations, free to reuse under OECD Terms and Conditions (attribution required).
About this data
<p>This dataset provides indicators on deaths and mortality rates, in large regions (TL2) and small regions (TL3).</p> <p><strong>Data definition and source</strong></p> <ul> <li><strong>Deaths by 5-year age group</strong> are reported according to the last place of residence of the deceased person.</li> <li><strong>Crude death rate</strong> is the number of deaths per 1 000 population.</li> <li><strong>Age-adjusted mortality rates</strong> eliminate the difference in mortality rates due to a population’s age profile and are comparable across countries and regions. Age-adjusted mortality rates are calculd by applying the age-specific death rates of one region to the age distribution of a standard population. Here, the standard population is represented by the OECD area population in 2010, and the adjusted mortality rate is based on deaths in five-year age groups.</li> </ul> <p>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>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>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>