Botswana vs Kenya: Maternal Mortality Ratio, Modeled Estimate

Botswana
155
in 2023
Kenya
149
in 2023
Botswana rank
47th
Kenya rank
50th

Maternal Mortality Ratio, Modeled Estimate over time

  • Botswana
  • Kenya
05001.0k1.5k198520042023

How they compare

Botswana currently reports 155 against 149 in Kenya, a difference of 6.

The two have swapped places 3 times across 39 shared years of data; in 1985 it was Kenya ahead.

Botswana ranks 47th and Kenya ranks 50th of 194 countries.

Kenya has averaged higher in every one of the 5 decades both report.

Head to head by decade

Decade Botswana Kenya Difference Ahead
1980s 307.6 962.6 655 Kenya
1990s 191.2 350.6 159.4 Kenya
2000s 169 189.9 20.9 Kenya
2010s 167.6 198.6 31 Kenya
2020s 134.5 167.75 33.25 Kenya

Averages of every year both report within each decade.

Frequently asked questions

Which has higher maternal mortality ratio, modeled estimate, Botswana or Kenya?
Botswana, at 155 against 149 in Kenya as of 2023.
What is the difference in maternal mortality ratio, modeled estimate between Botswana and Kenya?
6, with Botswana ahead.
How many years of comparable data are there for Botswana and Kenya?
39 years are reported by both, from 1985 to 2023.
How do Botswana and Kenya rank globally for maternal mortality ratio, modeled estimate?
Botswana ranks 47th and Kenya ranks 50th of 194 countries.
Where does this data come from?
International Monetary Fund, published as Maternal Mortality Ratio, Modeled Estimate. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Botswana vs Kenya: Maternal Mortality Ratio, Modeled Estimate. Statizoid, drawing on International Monetary Fund. Retrieved 19 August 2026, from https://gender.statizoid.com/compare/maternal-mortality-ratio-modeled-estimate/botswana/kenya/

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About this data

Indicator
Maternal Mortality Ratio, Modeled Estimate
Source
International Monetary Fund
Licence
IMF Terms and Conditions (attribution required)
Coverage
195 places, 7,569 data points, 1985–2023
Last refreshed

Gender-disaggregated data on health outcomes.