Mortality rate attributed to unintentional poisoning, female in Pre-demographic dividend
Pre-demographic dividend: Mortality rate attributed to unintentional poisoning, female was 0.9994 per 100,000 female population in 2021. ▲ Rising
Mortality rate attributed to unintentional poisoning, female in Pre-demographic dividend, 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
Pre-demographic dividend recorded 0.9994 per 100,000 female population for mortality rate attributed to unintentional poisoning, female in 2021.
That represents a change of down 1.0% on the previous year and up 0.9% over ten years.
Over the whole period, mortality rate attributed to unintentional poisoning, female in Pre-demographic dividend peaked at 1.07 per 100,000 female population in 2013 and was at its lowest, 0.8907 per 100,000 female population, in 2001.
That places Pre-demographic dividend 7th out of 47 groups with data for 2021, putting it in the top quarter.
The long-run direction has been consistently rising across the 22 years of available data.
Mortality rate attributed to unintentional poisoning, female in Pre-demographic dividend, year by year
| Year | per 100,000 female population | Change |
|---|---|---|
| 2000 | 0.8921 per 100,000 female population | — |
| 2001 | 0.8907 per 100,000 female population | -0.2% |
| 2002 | 0.8975 per 100,000 female population | +0.8% |
| 2003 | 0.9429 per 100,000 female population | +5.1% |
| 2004 | 0.9616 per 100,000 female population | +2.0% |
| 2005 | 0.9721 per 100,000 female population | +1.1% |
| 2006 | 0.9997 per 100,000 female population | +2.8% |
| 2007 | 0.9965 per 100,000 female population | -0.3% |
| 2008 | 1.01 per 100,000 female population | +1.1% |
| 2009 | 1.02 per 100,000 female population | +1.7% |
| 2010 | 0.9873 per 100,000 female population | -3.6% |
| 2011 | 0.9907 per 100,000 female population | +0.3% |
| 2012 | 1.02 per 100,000 female population | +3.4% |
| 2013 | 1.07 per 100,000 female population | +4.7% |
| 2014 | 1.07 per 100,000 female population | -0.4% |
| 2015 | 1.03 per 100,000 female population | -4.0% |
| 2016 | 1.02 per 100,000 female population | -0.2% |
| 2017 | 1.02 per 100,000 female population | -0.6% |
| 2018 | 1.03 per 100,000 female population | +1.7% |
| 2019 | 1.03 per 100,000 female population | -0.6% |
| 2020 | 1.01 per 100,000 female population | -1.8% |
| 2021 | 0.9994 per 100,000 female population | -1.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.9586 per 100,000 female population | 0.8907 per 100,000 female population | 1.02 per 100,000 female population | 10 |
| 2010s | 1.03 per 100,000 female population | 0.9873 per 100,000 female population | 1.07 per 100,000 female population | 10 |
| 2020s | 1 per 100,000 female population | 0.9994 per 100,000 female population | 1.01 per 100,000 female population | 2 |
Countries ranked near Pre-demographic dividend
- 4 Eswatini 2.42 per 100,000 female population compare
- 5 Somalia 2.38 per 100,000 female population compare
- 6 Afghanistan 2.11 per 100,000 female population compare
- 7 Republic of Moldova 1.96 per 100,000 female population compare
- 8 Burundi 1.95 per 100,000 female population compare
- 9 Bosnia and Herzegovina 1.81 per 100,000 female population compare
- 10 Eritrea 1.65 per 100,000 female population compare
More health data for Pre-demographic dividend
- Population ages 30-34, male, per capita 0.0326 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 3.24 % change on previous year (2025)
- Population ages 35-39, male, per capita 0.0271 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 3.03 % change on previous year (2025)
- Population ages 35-39, female, per capita 0.0276 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 2.97 % change on previous year (2025)
- Population ages 25-29, male, per capita 0.0392 units per person (2025)
Frequently asked questions
- What is mortality rate attributed to unintentional poisoning, female in Pre-demographic dividend?
- Mortality rate attributed to unintentional poisoning, female in Pre-demographic dividend was 0.9994 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 Pre-demographic dividend?
- The highest recorded value was 1.07 per 100,000 female population in 2013.
- What is the lowest mortality rate attributed to unintentional poisoning, female recorded in Pre-demographic dividend?
- The lowest recorded value was 0.8907 per 100,000 female population in 2001.
- How does Pre-demographic dividend rank for mortality rate attributed to unintentional poisoning, female?
- Pre-demographic dividend ranks 7th out of 47 groups with data for 2021.
- Is mortality rate attributed to unintentional poisoning, female rising or falling in Pre-demographic dividend?
- Over the last ten years it is up 0.9%. The long-run trend across the full record is rising.
- Where does this Pre-demographic dividend 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.