Mortality rate attributed to unintentional poisoning, female in Low & middle income
Low & middle income: Mortality rate attributed to unintentional poisoning, female was 0.5929 per 100,000 female population in 2021. ▼ Falling
Mortality rate attributed to unintentional poisoning, female in Low & 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
Low & middle income recorded 0.5929 per 100,000 female population for mortality rate attributed to unintentional poisoning, female in 2021.
Compared with earlier readings it is up 0.2% on the previous year and down 17.1% over ten years.
Over the whole period, mortality rate attributed to unintentional poisoning, female in Low & middle income peaked at 0.7408 per 100,000 female population in 2005 and was at its lowest, 0.5917 per 100,000 female population, in 2020.
Low & middle income ranks 20th of 47 groups on this measure, 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 Low & middle income, year by year
| Year | per 100,000 female population | Change |
|---|---|---|
| 2000 | 0.6516 per 100,000 female population | — |
| 2001 | 0.6623 per 100,000 female population | +1.6% |
| 2002 | 0.6869 per 100,000 female population | +3.7% |
| 2003 | 0.7192 per 100,000 female population | +4.7% |
| 2004 | 0.7373 per 100,000 female population | +2.5% |
| 2005 | 0.7408 per 100,000 female population | +0.5% |
| 2006 | 0.7202 per 100,000 female population | -2.8% |
| 2007 | 0.7169 per 100,000 female population | -0.4% |
| 2008 | 0.7192 per 100,000 female population | +0.3% |
| 2009 | 0.7317 per 100,000 female population | +1.7% |
| 2010 | 0.7259 per 100,000 female population | -0.8% |
| 2011 | 0.7156 per 100,000 female population | -1.4% |
| 2012 | 0.7043 per 100,000 female population | -1.6% |
| 2013 | 0.7013 per 100,000 female population | -0.4% |
| 2014 | 0.6892 per 100,000 female population | -1.7% |
| 2015 | 0.6658 per 100,000 female population | -3.4% |
| 2016 | 0.654 per 100,000 female population | -1.8% |
| 2017 | 0.6347 per 100,000 female population | -3.0% |
| 2018 | 0.6316 per 100,000 female population | -0.5% |
| 2019 | 0.6188 per 100,000 female population | -2.0% |
| 2020 | 0.5917 per 100,000 female population | -4.4% |
| 2021 | 0.5929 per 100,000 female population | +0.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.7086 per 100,000 female population | 0.6516 per 100,000 female population | 0.7408 per 100,000 female population | 10 |
| 2010s | 0.6741 per 100,000 female population | 0.6188 per 100,000 female population | 0.7259 per 100,000 female population | 10 |
| 2020s | 0.5923 per 100,000 female population | 0.5917 per 100,000 female population | 0.5929 per 100,000 female population | 2 |
Countries ranked near Low & middle income
- 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
- 21 Comoros 1.19 per 100,000 female population compare
- 22 Botswana 1.15 per 100,000 female population compare
- 23 South Sudan 1.12 per 100,000 female population compare
- 23 Yemen 1.12 per 100,000 female population compare
More health data for Low & middle income
- Population ages 30-34, male, per capita 0.0379 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 2.32 % change on previous year (2025)
- Population ages 35-39, male, per capita 0.0373 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 1.93 % change on previous year (2025)
- Population ages 35-39, female, per capita 0.036 units per person (2025)
- Population ages 35-39, female, per unit of GDP 0 units per US$ of GDP (2025)
- Population ages 35-39, female, annual growth rate 1.74 % change on previous year (2025)
- Population ages 25-29, male, per capita 0.0388 units per person (2025)
Frequently asked questions
- What is mortality rate attributed to unintentional poisoning, female in Low & middle income?
- Mortality rate attributed to unintentional poisoning, female in Low & middle income was 0.5929 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 Low & middle income?
- The highest recorded value was 0.7408 per 100,000 female population in 2005.
- What is the lowest mortality rate attributed to unintentional poisoning, female recorded in Low & middle income?
- The lowest recorded value was 0.5917 per 100,000 female population in 2020.
- How does Low & middle income rank for mortality rate attributed to unintentional poisoning, female?
- Low & middle income ranks 20th out of 47 groups with data for 2021.
- Is mortality rate attributed to unintentional poisoning, female rising or falling in Low & middle income?
- Over the last ten years it is down 17.1%. The long-run trend across the full record is falling.
- Where does this Low & 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.