Africa's Development: Environmental causes of premature … Ambient in China
China: Africa's Development: Environmental causes of premature … Ambient was 1,001 Per 1 000 000 inhabitants in 2019. ▲ Rising
Africa's Development Dynamics (AfDD) Table 30 - Environmental causes in China, 2000–2019
Source: Organisation for Economic Co-operation and Development. Measured in Per 1 000 000 inhabitants.
Analysis
China recorded 1,001 Per 1 000 000 inhabitants for africa's development dynamics (afdd) table 30 - environmental causes in 2019. That is the highest value across all 20 years on record.
The figure is up 3.3% on the previous year and up 18.9% over ten years.
Over the whole period, africa's development dynamics (afdd) table 30 - environmental causes in China peaked at 1,001 Per 1 000 000 inhabitants in 2019 and was at its lowest, 642.73 Per 1 000 000 inhabitants, in 2000.
China ranks 6th of 168 countries on this measure, in the top 10%.
The long-run direction has been consistently rising across the 20 years of available data.
Africa's Development: Environmental causes of premature … Ambient in China, year by year
| Year | Per 1 000 000 inhabitants | Change |
|---|---|---|
| 2000 | 642.73 Per 1 000 000 inhabitants | — |
| 2001 | 665.5 Per 1 000 000 inhabitants | +3.5% |
| 2002 | 692.15 Per 1 000 000 inhabitants | +4.0% |
| 2003 | 717.02 Per 1 000 000 inhabitants | +3.6% |
| 2004 | 747.31 Per 1 000 000 inhabitants | +4.2% |
| 2005 | 760.73 Per 1 000 000 inhabitants | +1.8% |
| 2006 | 755.62 Per 1 000 000 inhabitants | -0.7% |
| 2007 | 770.5 Per 1 000 000 inhabitants | +2.0% |
| 2008 | 803.16 Per 1 000 000 inhabitants | +4.2% |
| 2009 | 842.15 Per 1 000 000 inhabitants | +4.9% |
| 2010 | 879.47 Per 1 000 000 inhabitants | +4.4% |
| 2011 | 905.29 Per 1 000 000 inhabitants | +2.9% |
| 2012 | 921.1 Per 1 000 000 inhabitants | +1.7% |
| 2013 | 939.93 Per 1 000 000 inhabitants | +2.0% |
| 2014 | 955.12 Per 1 000 000 inhabitants | +1.6% |
| 2015 | 962.95 Per 1 000 000 inhabitants | +0.8% |
| 2016 | 964.06 Per 1 000 000 inhabitants | +0.1% |
| 2017 | 956.75 Per 1 000 000 inhabitants | -0.8% |
| 2018 | 969.28 Per 1 000 000 inhabitants | +1.3% |
| 2019 | 1,001 Per 1 000 000 inhabitants | +3.3% |
China compared with similar countries
- China's 1,001 Per 1 000 000 inhabitants is above the median for upper middle income countries, which is 426.6 Per 1 000 000 inhabitants, 2.3× the median. (51 countries reporting)
- China's 1,001 Per 1 000 000 inhabitants is above the median for East Asia & Pacific, which is 221.38 Per 1 000 000 inhabitants, 4.5× the median. (24 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 739.69 Per 1 000 000 inhabitants | 642.73 Per 1 000 000 inhabitants | 842.15 Per 1 000 000 inhabitants | 10 |
| 2010s | 945.52 Per 1 000 000 inhabitants | 879.47 Per 1 000 000 inhabitants | 1,001 Per 1 000 000 inhabitants | 10 |
Countries ranked near China
- 3 Bulgaria 1,286 Per 1 000 000 inhabitants compare
- 4 Armenia 1,096 Per 1 000 000 inhabitants compare
- 5 Bosnia and Herzegovina 1,078 Per 1 000 000 inhabitants compare
- 6 Cabo Verde 552.83 Per 1 000 000 inhabitants compare
- 7 Ukraine 970.71 Per 1 000 000 inhabitants compare
- 8 Latvia 583.86 Per 1 000 000 inhabitants compare
- 8 Montenegro 894.68 Per 1 000 000 inhabitants compare
- 9 Belarus 868.62 Per 1 000 000 inhabitants compare
- 9 Lesotho 376.96 Per 1 000 000 inhabitants compare
More environment data for China
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.279 °C (2025)
- Temperature change 1.92 °C (2025)
- Sawnwood, coniferous — Production, annual growth rate 0 % change on previous year (2024)
- Wood-based panels — Production, annual growth rate 5.29 % change on previous year (2024)
- Total greenhouse gas emissions excluding LULUCF (Mt CO2e), annual 0.8065 % 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)
- Methane (CH4) emissions from Agriculture (Mt CO2e), annual growth rate -0.2517 % change on previous year (2024)
- Methane (CH4) emissions from Agriculture (Mt CO2e), per unit of GDP 0 Mt CO2e per US$ of GDP (2024)
Frequently asked questions
- What is africa's development dynamics (afdd) table 30 - environmental causes in China?
- Africa's development dynamics (afdd) table 30 - environmental causes in China was 1,001 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 China?
- The highest recorded value was 1,001 Per 1 000 000 inhabitants in 2019.
- What is the lowest africa's development dynamics (afdd) table 30 - environmental causes recorded in China?
- The lowest recorded value was 642.73 Per 1 000 000 inhabitants in 2000.
- How does China rank for africa's development dynamics (afdd) table 30 - environmental causes?
- China ranks 6th out of 168 countries with data for 2019.
- Is africa's development dynamics (afdd) table 30 - environmental causes rising or falling in China?
- Over the last ten years it is up 18.9%. The long-run trend across the full record is rising.
- Where does this China 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 — Ambient particulate matter, 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.