Mortality rate attributed to unintentional poisoning, female in High income
High income: Mortality rate attributed to unintentional poisoning, female was 0.3932 per 100,000 female population in 2021. ▼ Falling
Mortality rate attributed to unintentional poisoning, female in High income, 2000–2021
Source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO). Measured in per 100,000 female population.
Analysis
The most recent figure for mortality rate attributed to unintentional poisoning, female in High income is 0.3932 per 100,000 female population, measured in 2021.
Compared with earlier readings it is up 3.6% on the previous year and down 27.4% over ten years.
Over the whole period, mortality rate attributed to unintentional poisoning, female in High income peaked at 0.7489 per 100,000 female population in 2003 and was at its lowest, 0.3794 per 100,000 female population, in 2020.
That places High income 32nd out of 47 groups with data for 2021, putting it in the middle of the range.
The long-run direction has been consistently falling across the 22 years of available data.
Mortality rate attributed to unintentional poisoning, female in High income, year by year
| Year | per 100,000 female population | Change |
|---|---|---|
| 2000 | 0.7195 per 100,000 female population | — |
| 2001 | 0.7418 per 100,000 female population | +3.1% |
| 2002 | 0.7479 per 100,000 female population | +0.8% |
| 2003 | 0.7489 per 100,000 female population | +0.1% |
| 2004 | 0.716 per 100,000 female population | -4.4% |
| 2005 | 0.7086 per 100,000 female population | -1.0% |
| 2006 | 0.6617 per 100,000 female population | -6.6% |
| 2007 | 0.6047 per 100,000 female population | -8.6% |
| 2008 | 0.5972 per 100,000 female population | -1.2% |
| 2009 | 0.595 per 100,000 female population | -0.4% |
| 2010 | 0.5676 per 100,000 female population | -4.6% |
| 2011 | 0.5418 per 100,000 female population | -4.5% |
| 2012 | 0.5185 per 100,000 female population | -4.3% |
| 2013 | 0.4618 per 100,000 female population | -10.9% |
| 2014 | 0.449 per 100,000 female population | -2.8% |
| 2015 | 0.4503 per 100,000 female population | +0.3% |
| 2016 | 0.4424 per 100,000 female population | -1.7% |
| 2017 | 0.4286 per 100,000 female population | -3.1% |
| 2018 | 0.4102 per 100,000 female population | -4.3% |
| 2019 | 0.3945 per 100,000 female population | -3.8% |
| 2020 | 0.3794 per 100,000 female population | -3.8% |
| 2021 | 0.3932 per 100,000 female population | +3.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.6842 per 100,000 female population | 0.595 per 100,000 female population | 0.7489 per 100,000 female population | 10 |
| 2010s | 0.4665 per 100,000 female population | 0.3945 per 100,000 female population | 0.5676 per 100,000 female population | 10 |
| 2020s | 0.3863 per 100,000 female population | 0.3794 per 100,000 female population | 0.3932 per 100,000 female population | 2 |
Countries ranked near High income
- 29 Kiribati 1.06 per 100,000 female population compare
- 30 Kenya 1.05 per 100,000 female population compare
- 31 Nigeria 1.03 per 100,000 female population compare
- 32 Zambia 1.02 per 100,000 female population compare
- 33 Grenada 0.97 per 100,000 female population compare
- 33 Korea, Democratic People's Republic of 0.97 per 100,000 female population compare
- 33 Uganda 0.97 per 100,000 female population compare
More health data for High income
- Population ages 35-39, female, annual growth rate -0.0602 % change on previous year (2025)
- Population ages 40-44, female, per capita 0.0338 units per person (2025)
- Population ages 40-44, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, female, annual growth rate -0.0702 % change on previous year (2025)
- Population ages 35-39, male, per capita 0.0367 units per person (2025)
- Population ages 35-39, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, male, annual growth rate 0.4572 % change on previous year (2025)
- Population ages 35-39, female, per capita 0.0337 units per person (2025)
- Population ages 35-39, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 25-29, male, per capita 0.0322 units per person (2025)
Frequently asked questions
- What is mortality rate attributed to unintentional poisoning, female in High income?
- Mortality rate attributed to unintentional poisoning, female in High income was 0.3932 per 100,000 female population in 2021, according to World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO).
- What is the highest mortality rate attributed to unintentional poisoning, female recorded in High income?
- The highest recorded value was 0.7489 per 100,000 female population in 2003.
- What is the lowest mortality rate attributed to unintentional poisoning, female recorded in High income?
- The lowest recorded value was 0.3794 per 100,000 female population in 2020.
- How does High income rank for mortality rate attributed to unintentional poisoning, female?
- High income ranks 32nd out of 47 groups with data for 2021.
- Is mortality rate attributed to unintentional poisoning, female rising or falling in High income?
- Over the last ten years it is down 27.4%. The long-run trend across the full record is falling.
- Where does this High income data come from?
- The figures come from World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), published as part of Mortality rate attributed to unintentional poisoning, female (per 100,000 female population). Statizoid updates them automatically from the source API.
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About this data
Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.