Botswana vs Upper-middle-income economies: 2.1.2 Prevalence of moderate or severe food insecurity (15 years old)

Botswana
49.6 %
in 2024
Upper-middle-income economies
11.8 %
in 2024
Botswana rank
27th
Upper-middle-income economies rank
26th

2.1.2 Prevalence of moderate or severe food insecurity (15 years old) over time

  • Botswana
  • Upper-middle-income economies
1020304050201520192024

How they compare

Botswana currently reports 49.6 % against 11.8 % in Upper-middle-income economies, a difference of 37.8 %.

That makes Botswana's figure about 4.2 times Upper-middle-income economies's.

Across all 10 years both countries report, Botswana has been ahead every year.

Botswana ranks 27th and Upper-middle-income economies ranks 26th of 121 countries.

Botswana has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Botswana Upper-middle-income economies Difference Ahead
2010s 47.78 % 13.62 % 34.16 % Botswana
2020s 51.64 % 13.04 % 38.6 % Botswana

Averages of every year both report within each decade.

Frequently asked questions

Which has higher 2.1.2 prevalence of moderate or severe food insecurity (15 years old), Botswana or Upper-middle-income economies?
Botswana, at 49.6 % against 11.8 % in Upper-middle-income economies as of 2024.
What is the difference in 2.1.2 prevalence of moderate or severe food insecurity (15 years old) between Botswana and Upper-middle-income economies?
37.8 %, with Botswana ahead.
How many years of comparable data are there for Botswana and Upper-middle-income economies?
10 years are reported by both, from 2015 to 2024.
How do Botswana and Upper-middle-income economies rank globally for 2.1.2 prevalence of moderate or severe food insecurity (15 years old)?
Botswana ranks 27th and Upper-middle-income economies ranks 26th of 121 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as 2.1.2 Prevalence of moderate or severe food insecurity (15 years old and over) (no breakdown by urbanisation) — Value — Male — 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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Botswana vs Upper-middle-income economies: 2.1.2 Prevalence of moderate or severe food insecurity (15 years old). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://agriculture.statizoid.com/compare/2-1-2-prevalence-of-moderate-or-severe-food-insecurity-15-years-old-and-over-no-breakdown/botswana/upper-middle-income-economies/

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<a href="https://agriculture.statizoid.com/compare/2-1-2-prevalence-of-moderate-or-severe-food-insecurity-15-years-old-and-over-no-breakdown/botswana/upper-middle-income-economies/">Botswana vs Upper-middle-income economies: 2.1.2 Prevalence of moderate or severe food insecurity (15 years old)</a> — Statizoid

About this data

Indicator
2.1.2 Prevalence of moderate or severe food insecurity (15 years old and over) (no breakdown by urbanisation) — Value — Male — 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
169 places, 1,581 data points, 2015–2024
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.