High-income economies vs Kenya: Number of women of reproductive age (15-49 years) affected by anemia

High-income economies
53.5 million No
in 2023
Kenya
4.7 million No
in 2023
High-income economies rank
12th
Kenya rank
13th

Number of women of reproductive age (15-49 years) affected by anemia over time

  • High-income economies
  • Kenya
0204060200020112023

How they compare

High-income economies currently reports 53.5 million No against 4.7 million No in Kenya, a difference of 48.8 million No.

That makes High-income economies's figure about 11.4 times Kenya's.

Across all 24 years both countries report, High-income economies has been ahead every year.

High-income economies ranks 12th and Kenya ranks 13th of 37 groups.

High-income economies has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade High-income economies Kenya Difference Ahead
2000s 43.33 million No 2.64 million No 40.69 million No High-income economies
2010s 45.21 million No 3.23 million No 41.98 million No High-income economies
2020s 50.92 million No 4.33 million No 46.6 million No High-income economies

Averages of every year both report within each decade.

Frequently asked questions

Which has higher number of women of reproductive age (15-49 years) affected by anemia, High-income economies or Kenya?
High-income economies, at 53.5 million No against 4.7 million No in Kenya as of 2023.
What is the difference in number of women of reproductive age (15-49 years) affected by anemia between High-income economies and Kenya?
48.8 million No, with High-income economies ahead.
How many years of comparable data are there for High-income economies and Kenya?
24 years are reported by both, from 2000 to 2023.
How do High-income economies and Kenya rank globally for number of women of reproductive age (15-49 years) affected by anemia?
High-income economies ranks 12th and Kenya ranks 13th of 37 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Number of women of reproductive age (15-49 years) affected by anemia (million) — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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High-income economies vs Kenya: Number of women of reproductive age (15-49 years) affected by anemia. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/number-of-women-of-reproductive-age-15-49-years-affected-by-anemia-million-value/high-income-economies/kenya/

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<a href="https://agriculture.statizoid.com/compare/number-of-women-of-reproductive-age-15-49-years-affected-by-anemia-million-value/high-income-economies/kenya/">High-income economies vs Kenya: Number of women of reproductive age (15-49 years) affected by anemia</a> — Statizoid

About this data

Indicator
Number of women of reproductive age (15-49 years) affected by anemia (million) — Value
Unit
million No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
201 places, 4,770 data points, 2000–2023
Last refreshed

The Suite of Food Security Indicators presents the core set of food security indicators. Following the recommendation of experts gathered in the Committee on World Food Security (CFS) Round Table on hunger measurement, hosted at FAO headquarters in September 2011, an initial set of indicators aiming to capture various aspects of food insecurity is presented here. The choice of the indicators has been informed by expert judgement and the availability of data with sufficient coverage to enable comparisons across regions and over time. Many of these indicators are produced and published elsewhere by FAO and other international organizations. They are reported here in a single database with the aim of building a wide food security information system. More indicators will be added to this set as more data will become available. Indicators are classified along the four dimensions of food security -- availability, access, utilization and stability.