Democratic Republic of the Congo vs Sierra Leone: 2.1.2 Prevalence of moderate or severe food insecurity (15 years old)

Democratic Republic of the Congo
81.6 %
in 2024
Sierra Leone
87.7 %
in 2024
Democratic Republic of the Congo rank
1st
Sierra Leone rank
2nd

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

  • Democratic Republic of the Congo
  • Sierra Leone
020406080201520192024

How they compare

Sierra Leone currently reports 87.7 % against 81.6 % in Democratic Republic of the Congo, a difference of 6.1 %.

That makes Sierra Leone's figure about 1.1 times Democratic Republic of the Congo's.

Across all 6 years both countries report, Sierra Leone has been ahead every year.

Democratic Republic of the Congo ranks 1st and Sierra Leone ranks 2nd of 11 countries.

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

Head to head by decade

Decade Democratic Republic of the Congo Sierra Leone Difference Ahead
2010s 69.7 % 84.1 % 14.4 % Sierra Leone
2020s 78.5 % 88.32 % 9.82 % Sierra Leone

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), Democratic Republic of the Congo or Sierra Leone?
Sierra Leone, at 87.7 % against 81.6 % in Democratic Republic of the Congo as of 2024.
What is the difference in 2.1.2 prevalence of moderate or severe food insecurity (15 years old) between Democratic Republic of the Congo and Sierra Leone?
6.1 %, with Sierra Leone ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Sierra Leone?
6 years are reported by both, from 2019 to 2024.
How do Democratic Republic of the Congo and Sierra Leone rank globally for 2.1.2 prevalence of moderate or severe food insecurity (15 years old)?
Democratic Republic of the Congo ranks 1st and Sierra Leone ranks 2nd of 11 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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Democratic Republic of the Congo vs Sierra Leone: 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 17 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/democratic-republic-of-the-congo/sierra-leone/

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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/democratic-republic-of-the-congo/sierra-leone/">Democratic Republic of the Congo vs Sierra Leone: 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.