Central Asia and Southern Asia vs Democratic Republic of the Congo: Prevalence of anemia among women of reproductive age (15-49 years)

Central Asia and Southern Asia
48.7 %
in 2023
Democratic Republic of the Congo
40 %
in 2023
Central Asia and Southern Asia rank
3rd
Democratic Republic of the Congo rank
2nd

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

  • Central Asia and Southern Asia
  • Democratic Republic of the Congo
0204060200020112023

How they compare

Central Asia and Southern Asia currently reports 48.7 % against 40 % in Democratic Republic of the Congo, a difference of 8.7 %.

That makes Central Asia and Southern Asia's figure about 1.2 times Democratic Republic of the Congo's.

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

Central Asia and Southern Asia ranks 3rd and Democratic Republic of the Congo ranks 2nd of 37 groups.

Across the 3 decades both report, Central Asia and Southern Asia averaged higher in 2 and Democratic Republic of the Congo in 1.

Head to head by decade

Decade Central Asia and Southern Asia Democratic Republic of the Congo Difference Ahead
2000s 45.08 % 51.16 % 6.08 % Democratic Republic of the Congo
2010s 46.02 % 42.1 % 3.92 % Central Asia and Southern Asia
2020s 48 % 39.73 % 8.27 % Central Asia and Southern Asia

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), Central Asia and Southern Asia or Democratic Republic of the Congo?
Central Asia and Southern Asia, at 48.7 % against 40 % in Democratic Republic of the Congo as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Central Asia and Southern Asia and Democratic Republic of the Congo?
8.7 %, with Central Asia and Southern Asia ahead.
How many years of comparable data are there for Central Asia and Southern Asia and Democratic Republic of the Congo?
24 years are reported by both, from 2000 to 2023.
How do Central Asia and Southern Asia and Democratic Republic of the Congo rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Central Asia and Southern Asia ranks 3rd and Democratic Republic of the Congo ranks 2nd 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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Central Asia and Southern Asia vs Democratic Republic of the Congo: 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/central-asia-and-southern-asia/democratic-republic-of-the-congo/

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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.