Peru vs Tonga: Share of women of reproductive age who have anemia vs. GDP per capita
Peru
21.0%
in 2023
Tonga
20.7%
in 2023
Peru rank
137th
Tonga rank
140th
Share of women of reproductive age who have anemia vs. GDP per capita over time
- Peru
- Tonga
How they compare
Peru currently reports 21.0% against 20.7% in Tonga, a difference of 0.3%.
The two have swapped places 2 times across 24 shared years of data; in 2000 it was Peru ahead.
Peru ranks 137th and Tonga ranks 140th of 194 countries.
Peru has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Peru | Tonga | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 24.5% | 18.5% | 6.0% | Peru |
| 2010s | 18.4% | 18.2% | 0.2% | Peru |
| 2020s | 20.1% | 19.9% | 0.2% | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher share of women of reproductive age who have anemia vs. gdp per capita, Peru or Tonga?
- Peru, at 21.0% against 20.7% in Tonga as of 2023.
- What is the difference in share of women of reproductive age who have anemia vs. gdp per capita between Peru and Tonga?
- 0.3%, with Peru ahead.
- How many years of comparable data are there for Peru and Tonga?
- 24 years are reported by both, from 2000 to 2023.
- How do Peru and Tonga rank globally for share of women of reproductive age who have anemia vs. gdp per capita?
- Peru ranks 137th and Tonga ranks 140th of 194 countries.
- Where does this data come from?
- World Health Organization - Global Health Observatory (2026) – with minor processing by Our World in Data, published as Share of women of reproductive age who have anemia vs. GDP per capita. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant women with hemoglobin levels below 12 g/dL and pregnant women with hemoglobin levels below 11 g/dL. GDP per capita is adjusted for inflation and differences in living costs between countries.