Burundi vs United Republic of Tanzania: Prevalence of anemia: Value Female All age ranges or no

Burundi
39 %
in 2023
United Republic of Tanzania
38.8 %
in 2023
Burundi rank
31st
United Republic of Tanzania rank
33rd

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

  • Burundi
  • United Republic of Tanzania
010203040200020112023

How they compare

Burundi currently reports 39 % against 38.8 % in United Republic of Tanzania, a difference of 0.2 %.

The two have swapped places 1 time across 24 shared years of data; in 2000 it was United Republic of Tanzania ahead.

Burundi ranks 31st and United Republic of Tanzania ranks 33rd of 196 countries.

United Republic of Tanzania has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Burundi United Republic of Tanzania Difference Ahead
2000s 29.15 % 40.56 % 11.41 % United Republic of Tanzania
2010s 29.29 % 37.05 % 7.76 % United Republic of Tanzania
2020s 36.88 % 38.08 % 1.2 % United Republic of Tanzania

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), Burundi or United Republic of Tanzania?
Burundi, at 39 % against 38.8 % in United Republic of Tanzania as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Burundi and United Republic of Tanzania?
0.2 %, with Burundi ahead.
How many years of comparable data are there for Burundi and United Republic of Tanzania?
24 years are reported by both, from 2000 to 2023.
How do Burundi and United Republic of Tanzania rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Burundi ranks 31st and United Republic of Tanzania ranks 33rd 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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Burundi vs United Republic of Tanzania: 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/burundi/united-republic-of-tanzania/

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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/burundi/united-republic-of-tanzania/">Burundi vs United Republic of Tanzania: 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.