Low-income economies vs United Republic of Tanzania: 2.1.2 Prevalence of moderate or severe food insecurity (15 years old)

Low-income economies
64 %
in 2024
United Republic of Tanzania
56.3 %
in 2024
Low-income economies rank
1st
United Republic of Tanzania rank
3rd

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

  • Low-income economies
  • United Republic of Tanzania
0204060201520192024

How they compare

Low-income economies currently reports 64 % against 56.3 % in United Republic of Tanzania, a difference of 7.7 %.

That makes Low-income economies's figure about 1.1 times United Republic of Tanzania's.

The two have swapped places 2 times across 10 shared years of data; in 2015 it was Low-income economies ahead.

Low-income economies ranks 1st and United Republic of Tanzania ranks 3rd of 37 groups.

Low-income economies has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Low-income economies United Republic of Tanzania Difference Ahead
2010s 57.02 % 55.52 % 1.5 % Low-income economies
2020s 63.18 % 57.54 % 5.64 % Low-income economies

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), Low-income economies or United Republic of Tanzania?
Low-income economies, at 64 % against 56.3 % in United Republic of Tanzania as of 2024.
What is the difference in 2.1.2 prevalence of moderate or severe food insecurity (15 years old) between Low-income economies and United Republic of Tanzania?
7.7 %, with Low-income economies ahead.
How many years of comparable data are there for Low-income economies and United Republic of Tanzania?
10 years are reported by both, from 2015 to 2024.
How do Low-income economies and United Republic of Tanzania rank globally for 2.1.2 prevalence of moderate or severe food insecurity (15 years old)?
Low-income economies ranks 1st and United Republic of Tanzania ranks 3rd of 37 groups.
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 — 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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Low-income economies vs United Republic of Tanzania: 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 18 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-2/low-income-economies/united-republic-of-tanzania/

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About this data

Indicator
2.1.2 Prevalence of moderate or severe food insecurity (15 years old and over) (no breakdown by urbanisation) — 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
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.