Mortality rate attributed to unintentional poisoning, female in Upper middle income
Upper middle income: Mortality rate attributed to unintentional poisoning, female was 0.7095 per 100,000 female population in 2021. ▼ Falling
Mortality rate attributed to unintentional poisoning, female in Upper middle 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
In 2021, mortality rate attributed to unintentional poisoning, female in Upper middle income stood at 0.7095 per 100,000 female population.
Compared with earlier readings it is up 0.3% on the previous year and down 25.1% over ten years.
Over the whole period, mortality rate attributed to unintentional poisoning, female in Upper middle income peaked at 0.9796 per 100,000 female population in 2005 and was at its lowest, 0.7077 per 100,000 female population, in 2020.
That places Upper middle income 17th 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 Upper middle income, year by year
| Year | per 100,000 female population | Change |
|---|---|---|
| 2000 | 0.7883 per 100,000 female population | — |
| 2001 | 0.8168 per 100,000 female population | +3.6% |
| 2002 | 0.8692 per 100,000 female population | +6.4% |
| 2003 | 0.9231 per 100,000 female population | +6.2% |
| 2004 | 0.9721 per 100,000 female population | +5.3% |
| 2005 | 0.9796 per 100,000 female population | +0.8% |
| 2006 | 0.943 per 100,000 female population | -3.7% |
| 2007 | 0.9386 per 100,000 female population | -0.5% |
| 2008 | 0.9404 per 100,000 female population | +0.2% |
| 2009 | 0.971 per 100,000 female population | +3.2% |
| 2010 | 0.9688 per 100,000 female population | -0.2% |
| 2011 | 0.9477 per 100,000 female population | -2.2% |
| 2012 | 0.9058 per 100,000 female population | -4.4% |
| 2013 | 0.8838 per 100,000 female population | -2.4% |
| 2014 | 0.8631 per 100,000 female population | -2.3% |
| 2015 | 0.839 per 100,000 female population | -2.8% |
| 2016 | 0.8146 per 100,000 female population | -2.9% |
| 2017 | 0.7878 per 100,000 female population | -3.3% |
| 2018 | 0.772 per 100,000 female population | -2.0% |
| 2019 | 0.7484 per 100,000 female population | -3.1% |
| 2020 | 0.7077 per 100,000 female population | -5.4% |
| 2021 | 0.7095 per 100,000 female population | +0.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.9142 per 100,000 female population | 0.7883 per 100,000 female population | 0.9796 per 100,000 female population | 10 |
| 2010s | 0.8531 per 100,000 female population | 0.7484 per 100,000 female population | 0.9688 per 100,000 female population | 10 |
| 2020s | 0.7086 per 100,000 female population | 0.7077 per 100,000 female population | 0.7095 per 100,000 female population | 2 |
Countries ranked near Upper middle income
- 14 Russian Federation 1.41 per 100,000 female population compare
- 15 Namibia 1.33 per 100,000 female population compare
- 16 Djibouti 1.28 per 100,000 female population compare
- 16 Romania 1.28 per 100,000 female population compare
- 18 Mozambique 1.24 per 100,000 female population compare
- 19 China 1.22 per 100,000 female population compare
- 20 Madagascar 1.21 per 100,000 female population compare
More health data for Upper middle income
- Population ages 35-39, male, per capita 0.0413 units per person (2025)
- Population ages 45-49, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 45-49, female, annual growth rate 0.1721 % change on previous year (2025)
- Population ages 40-44, male, per capita 0.0368 units per person (2025)
- Population ages 40-44, male, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 40-44, male, annual growth rate 1.94 % change on previous year (2025)
- Population ages 40-44, female, per capita 0.0359 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 1.71 % change on previous year (2025)
- Population ages 30-34, male, per capita 0.038 units per person (2025)
Frequently asked questions
- What is mortality rate attributed to unintentional poisoning, female in Upper middle income?
- Mortality rate attributed to unintentional poisoning, female in Upper middle income was 0.7095 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 Upper middle income?
- The highest recorded value was 0.9796 per 100,000 female population in 2005.
- What is the lowest mortality rate attributed to unintentional poisoning, female recorded in Upper middle income?
- The lowest recorded value was 0.7077 per 100,000 female population in 2020.
- How does Upper middle income rank for mortality rate attributed to unintentional poisoning, female?
- Upper middle income ranks 17th out of 47 groups with data for 2021.
- Is mortality rate attributed to unintentional poisoning, female rising or falling in Upper middle income?
- Over the last ten years it is down 25.1%. The long-run trend across the full record is falling.
- Where does this Upper middle 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.