Northern Africa vs Venezuela (Bolivarian Republic of): Prevalence of anemia among women of reproductive age (15-49 years)

Northern Africa
32 %
in 2023
Venezuela (Bolivarian Republic of)
25.2 %
in 2023
Northern Africa rank
12th
Venezuela (Bolivarian Republic of) rank
15th

Prevalence of anemia among women of reproductive age (15-49 years) over time

  • Northern Africa
  • Venezuela (Bolivarian Republic of)
0102030200020112023

How they compare

Northern Africa currently reports 32 % against 25.2 % in Venezuela (Bolivarian Republic of), a difference of 6.8 %.

That makes Northern Africa's figure about 1.3 times Venezuela (Bolivarian Republic of)'s.

Across all 24 years both countries report, Northern Africa has been ahead every year.

Northern Africa ranks 12th and Venezuela (Bolivarian Republic of) ranks 15th of 37 groups.

Northern Africa has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Northern Africa Venezuela (Bolivarian Republic of) Difference Ahead
2000s 32.02 % 23.28 % 8.74 % Northern Africa
2010s 29.56 % 20.3 % 9.26 % Northern Africa
2020s 31.05 % 24.18 % 6.88 % Northern Africa

Averages of every year both report within each decade.

Frequently asked questions

Which has higher prevalence of anemia among women of reproductive age (15-49 years), Northern Africa or Venezuela (Bolivarian Republic of)?
Northern Africa, at 32 % against 25.2 % in Venezuela (Bolivarian Republic of) as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Northern Africa and Venezuela (Bolivarian Republic of)?
6.8 %, with Northern Africa ahead.
How many years of comparable data are there for Northern Africa and Venezuela (Bolivarian Republic of)?
24 years are reported by both, from 2000 to 2023.
How do Northern Africa and Venezuela (Bolivarian Republic of) rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Northern Africa ranks 12th and Venezuela (Bolivarian Republic of) ranks 15th of 37 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Prevalence of anemia among women of reproductive age (15-49 years) (percent) — Value — Female — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Northern Africa vs Venezuela (Bolivarian Republic of): Prevalence of anemia among women of reproductive age (15-49 years). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 September 2026, from https://economy.statizoid.com/compare/prevalence-of-anemia-among-women-of-reproductive-age-15-49-years-percent-value-female-all/northern-africa/venezuela-bolivarian-republic-of/

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<a href="https://economy.statizoid.com/compare/prevalence-of-anemia-among-women-of-reproductive-age-15-49-years-percent-value-female-all/northern-africa/venezuela-bolivarian-republic-of/">Northern Africa vs Venezuela (Bolivarian Republic of): Prevalence of anemia among women of reproductive age (15-49 years)</a> — Statizoid

About this data

Indicator
Prevalence of anemia among women of reproductive age (15-49 years) (percent) — Value — Female — All age ranges or no breakdown by age — National
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
234 places, 5,616 data points, 2000–2023
Last refreshed

The Suite of Gender Indicators presents a set of indicators relevant to agrifood systems that are disaggregated by sex, with the aim of highlighting gender differences across agrifood systems. The initial set of indicators is based on those used in FAO’s 2023 Status of Women in Agrifood Systems (SWAFS) report and on the recommendations of an expert consultation held in December 2023, and covers key dimensions including economic participation, governance, agency, social norms, assets and services, education, health, and nutrition. Indicator selection was informed by expert judgment and by the availability of data with sufficient geographic and temporal coverage to enable meaningful comparisons across regions and over time. While most indicators are produced and published by FAO and other international organizations, the objective of this domain is to provide a one-stop shop for sex-disaggregated data on agrifood systems.