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

Oceania
16.8 %
in 2023
United Republic of Tanzania
38.8 %
in 2023
Oceania rank
32nd
United Republic of Tanzania rank
33rd

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

  • Oceania
  • United Republic of Tanzania
10203040200020112023

How they compare

United Republic of Tanzania currently reports 38.8 % against 16.8 % in Oceania, a difference of 22 %.

That makes United Republic of Tanzania's figure about 2.3 times Oceania's.

Across all 24 years both countries report, United Republic of Tanzania has been ahead every year.

Oceania ranks 32nd and United Republic of Tanzania ranks 33rd of 38 groups.

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

Head to head by decade

Decade Oceania United Republic of Tanzania Difference Ahead
2000s 12.52 % 40.56 % 28.04 % United Republic of Tanzania
2010s 13.12 % 37.05 % 23.93 % United Republic of Tanzania
2020s 15.83 % 38.08 % 22.25 % 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), Oceania or United Republic of Tanzania?
United Republic of Tanzania, at 38.8 % against 16.8 % in Oceania as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Oceania and United Republic of Tanzania?
22 %, with United Republic of Tanzania ahead.
How many years of comparable data are there for Oceania and United Republic of Tanzania?
24 years are reported by both, from 2000 to 2023.
How do Oceania and United Republic of Tanzania rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Oceania ranks 32nd and United Republic of Tanzania ranks 33rd of 38 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.

Individual pages

Share, cite or embed this page

Cite this page

Oceania 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/oceania/united-republic-of-tanzania/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://economy.statizoid.com/compare/prevalence-of-anemia-among-women-of-reproductive-age-15-49-years-percent-value-female-all/oceania/united-republic-of-tanzania/">Oceania 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.