Belarus vs Micronesia (Federated States of): Prevalence of anemia: Value Female All age ranges or no

Belarus
22.1 %
in 2023
Micronesia (Federated States of)
22.1 %
in 2023
Belarus rank
130th
Micronesia (Federated States of) rank
130th

Prevalence of anemia: Value Female All age ranges or no over time

  • Belarus
  • Micronesia (Federated States of)
05101520200020112023

How they compare

Belarus currently reports 22.1 % against 22.1 % in Micronesia (Federated States of), a difference of 0 %.

The two have swapped places 3 times across 24 shared years of data; in 2000 it was Belarus ahead.

Belarus ranks 130th and Micronesia (Federated States of) ranks 130th of 196 countries.

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

Head to head by decade

Decade Belarus Micronesia (Federated States of) Difference Ahead
2000s 18.56 % 17.7 % 0.86 % Belarus
2010s 18.85 % 18.68 % 0.17 % Belarus
2020s 21.27 % 21.07 % 0.2 % Belarus

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), Belarus or Micronesia (Federated States of)?
Belarus, at 22.1 % against 22.1 % in Micronesia (Federated States of) as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Belarus and Micronesia (Federated States of)?
0 %, with Belarus ahead.
How many years of comparable data are there for Belarus and Micronesia (Federated States of)?
24 years are reported by both, from 2000 to 2023.
How do Belarus and Micronesia (Federated States of) rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Belarus ranks 130th and Micronesia (Federated States of) ranks 130th of 196 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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Belarus vs Micronesia (Federated States of): Prevalence of anemia among women of reproductive age (15-49 years). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 09 November 2026, from https://economy.statizoid.com/compare/prevalence-of-anemia-among-women-of-reproductive-age-15-49-years-percent-value-female-all/belarus/micronesia-federated-states-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/belarus/micronesia-federated-states-of/">Belarus vs Micronesia (Federated States 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.