Land Locked Developing Countries (LLDCs) vs Somalia: Prevalence of anemia among women of reproductive age (15-49 years)

Land Locked Developing Countries (LLDCs)
32.2 %
in 2023
Somalia
46.2 %
in 2023
Land Locked Developing Countries (LLDCs) rank
11th
Somalia rank
11th

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

  • Land Locked Developing Countries (LLDCs)
  • Somalia
01020304050200020112023

How they compare

Somalia currently reports 46.2 % against 32.2 % in Land Locked Developing Countries (LLDCs), a difference of 14 %.

That makes Somalia's figure about 1.4 times Land Locked Developing Countries (LLDCs)'s.

Across all 24 years both countries report, Somalia has been ahead every year.

Land Locked Developing Countries (LLDCs) ranks 11th and Somalia ranks 11th of 37 groups.

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

Head to head by decade

Decade Land Locked Developing Countries (LLDCs) Somalia Difference Ahead
2000s 32.73 % 43.24 % 10.51 % Somalia
2010s 29.61 % 42.95 % 13.34 % Somalia
2020s 31.27 % 45.45 % 14.18 % Somalia

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), Land Locked Developing Countries (LLDCs) or Somalia?
Somalia, at 46.2 % against 32.2 % in Land Locked Developing Countries (LLDCs) as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Land Locked Developing Countries (LLDCs) and Somalia?
14 %, with Somalia ahead.
How many years of comparable data are there for Land Locked Developing Countries (LLDCs) and Somalia?
24 years are reported by both, from 2000 to 2023.
How do Land Locked Developing Countries (LLDCs) and Somalia rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Land Locked Developing Countries (LLDCs) ranks 11th and Somalia ranks 11th 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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Land Locked Developing Countries (LLDCs) vs Somalia: 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/land-locked-developing-countries-lldcs/somalia-fed-rep/

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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/land-locked-developing-countries-lldcs/somalia-fed-rep/">Land Locked Developing Countries (LLDCs) vs Somalia: 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.