Africa's Development: Environmental causes of premature deaths … Low in Belarus
Belarus: Africa's Development: Environmental causes of premature deaths … Low was 589.42 Per 1 000 000 inhabitants in 2019. ▼ Falling
Africa's Development Dynamics (AfDD) Table 30 - Environmental causes in Belarus, 2000–2019
Source: Organisation for Economic Co-operation and Development. Measured in Per 1 000 000 inhabitants.
Analysis
The most recent figure for africa's development dynamics (afdd) table 30 - environmental causes in Belarus is 589.42 Per 1 000 000 inhabitants, measured in 2019.
Compared with earlier readings it is up 0.1% on the previous year and down 10.5% over ten years.
Over the whole period, africa's development dynamics (afdd) table 30 - environmental causes in Belarus peaked at 696.01 Per 1 000 000 inhabitants in 2003 and was at its lowest, 588.83 Per 1 000 000 inhabitants, in 2018.
Belarus ranks 14th of 168 countries on this measure, in the top 10%.
The long-run direction has been consistently falling across the 20 years of available data.
Africa's Development: Environmental causes of premature deaths … Low in Belarus, year by year
| Year | Per 1 000 000 inhabitants | Change |
|---|---|---|
| 2000 | 598.74 Per 1 000 000 inhabitants | — |
| 2001 | 641.79 Per 1 000 000 inhabitants | +7.2% |
| 2002 | 664.5 Per 1 000 000 inhabitants | +3.5% |
| 2003 | 696.01 Per 1 000 000 inhabitants | +4.7% |
| 2004 | 686.62 Per 1 000 000 inhabitants | -1.3% |
| 2005 | 691.38 Per 1 000 000 inhabitants | +0.7% |
| 2006 | 659.46 Per 1 000 000 inhabitants | -4.6% |
| 2007 | 630.27 Per 1 000 000 inhabitants | -4.4% |
| 2008 | 635.28 Per 1 000 000 inhabitants | +0.8% |
| 2009 | 658.76 Per 1 000 000 inhabitants | +3.7% |
| 2010 | 641.94 Per 1 000 000 inhabitants | -2.6% |
| 2011 | 658.39 Per 1 000 000 inhabitants | +2.6% |
| 2012 | 612.15 Per 1 000 000 inhabitants | -7.0% |
| 2013 | 610.25 Per 1 000 000 inhabitants | -0.3% |
| 2014 | 598.94 Per 1 000 000 inhabitants | -1.9% |
| 2015 | 597.38 Per 1 000 000 inhabitants | -0.3% |
| 2016 | 624.94 Per 1 000 000 inhabitants | +4.6% |
| 2017 | 636.18 Per 1 000 000 inhabitants | +1.8% |
| 2018 | 588.83 Per 1 000 000 inhabitants | -7.4% |
| 2019 | 589.42 Per 1 000 000 inhabitants | +0.1% |
Belarus compared with similar countries
- Belarus's 589.42 Per 1 000 000 inhabitants is above the median for upper middle income countries, which is 64.8 Per 1 000 000 inhabitants, 9.1× the median. (51 countries reporting)
- Belarus's 589.42 Per 1 000 000 inhabitants is above the median for Europe & Central Asia, which is 476.5 Per 1 000 000 inhabitants, 1.2× the median. (40 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 656.28 Per 1 000 000 inhabitants | 598.74 Per 1 000 000 inhabitants | 696.01 Per 1 000 000 inhabitants | 10 |
| 2010s | 615.84 Per 1 000 000 inhabitants | 588.83 Per 1 000 000 inhabitants | 658.39 Per 1 000 000 inhabitants | 10 |
Countries ranked near Belarus
- 11 Montenegro 605.97 Per 1 000 000 inhabitants compare
- 12 Portugal 603.31 Per 1 000 000 inhabitants compare
- 13 Russia 599.17 Per 1 000 000 inhabitants compare
- 15 United Kingdom 527.62 Per 1 000 000 inhabitants compare
- 16 Armenia 523.29 Per 1 000 000 inhabitants compare
- 16 Ethiopia 53 Per 1 000 000 inhabitants compare
- 17 Germany 516.12 Per 1 000 000 inhabitants compare
- 17 Madagascar 52.12 Per 1 000 000 inhabitants compare
More environment data for Belarus
- Historical exposure to drought — Land soil moisture anomaly -0.1734 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.1993 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.869 °C (2025)
- Temperature change 2.57 °C (2025)
- Sawnwood, coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Wood-based panels — Production, annual growth rate 0.1172 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 0.6422 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per unit 0 Mt CO2e per US$ of GDP (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), per capita 0 Mt CO2e per person (2024)
Frequently asked questions
- What is africa's development dynamics (afdd) table 30 - environmental causes in Belarus?
- Africa's development dynamics (afdd) table 30 - environmental causes in Belarus was 589.42 Per 1 000 000 inhabitants in 2019, according to Organisation for Economic Co-operation and Development.
- What is the highest africa's development dynamics (afdd) table 30 - environmental causes recorded in Belarus?
- The highest recorded value was 696.01 Per 1 000 000 inhabitants in 2003.
- What is the lowest africa's development dynamics (afdd) table 30 - environmental causes recorded in Belarus?
- The lowest recorded value was 588.83 Per 1 000 000 inhabitants in 2018.
- How does Belarus rank for africa's development dynamics (afdd) table 30 - environmental causes?
- Belarus ranks 14th out of 168 countries with data for 2019.
- Is africa's development dynamics (afdd) table 30 - environmental causes rising or falling in Belarus?
- Over the last ten years it is down 10.5%. The long-run trend across the full record is falling.
- Where does this Belarus data come from?
- The figures come from Organisation for Economic Co-operation and Development, published as part of Africa's Development Dynamics (AfDD) Table 30 - Environmental causes of premature deaths — Low temperature, premature deaths. Statizoid updates them automatically from the source API.
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About this data
The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. Table 30 shows the economic costs of premature deaths caused by various environmental hazards, such as air pollution, unsafe water, and high and low temperatures.