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

Micronesia
24.5 %
in 2023
Venezuela (Bolivarian Republic of)
25.2 %
in 2023
Micronesia rank
17th
Venezuela (Bolivarian Republic of) rank
15th

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

  • Micronesia
  • Venezuela (Bolivarian Republic of)
0102030200020112023

How they compare

Venezuela (Bolivarian Republic of) currently reports 25.2 % against 24.5 % in Micronesia, a difference of 0.7 %.

The two have swapped places 2 times across 24 shared years of data; in 2000 it was Venezuela (Bolivarian Republic of) ahead.

Micronesia ranks 17th and Venezuela (Bolivarian Republic of) ranks 15th of 20 countries.

Across the 3 decades both report, Micronesia averaged higher in 1 and Venezuela (Bolivarian Republic of) in 2.

Head to head by decade

Decade Micronesia Venezuela (Bolivarian Republic of) Difference Ahead
2000s 21.57 % 23.28 % 1.71 % Venezuela (Bolivarian Republic of)
2010s 21.96 % 20.3 % 1.66 % Micronesia
2020s 23.7 % 24.18 % 0.475 % Venezuela (Bolivarian Republic of)

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), Micronesia or Venezuela (Bolivarian Republic of)?
Venezuela (Bolivarian Republic of), at 25.2 % against 24.5 % in Micronesia as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Micronesia and Venezuela (Bolivarian Republic of)?
0.7 %, with Venezuela (Bolivarian Republic of) ahead.
How many years of comparable data are there for Micronesia and Venezuela (Bolivarian Republic of)?
24 years are reported by both, from 2000 to 2023.
How do Micronesia and Venezuela (Bolivarian Republic of) rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Micronesia ranks 17th and Venezuela (Bolivarian Republic of) ranks 15th of 20 countries.
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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Micronesia 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 18 September 2026, from https://economy.statizoid.com/compare/prevalence-of-anemia-among-women-of-reproductive-age-15-49-years-percent-value-female-all/micronesia/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/micronesia/venezuela-bolivarian-republic-of/">Micronesia 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.