How many years of comparable data are there for Eswatini and Guatemala?

5 years are reported by both, from 2020 to 2024.

Where does this data come from?

Food and Agriculture Organization of the United Nations, published as Gender gap in the prevalence of moderate or severe food insecurity (15 years old and over) (no breakdown by urbanisation) — Value — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Eswatini vs Guatemala: Gender gap in the prevalence of moderate or severe food insecurity

Eswatini

-7.7 %

in 2024

Guatemala

-6.4 %

in 2024

Eswatini rank

114th

Guatemala rank

113th

Gender gap in the prevalence of moderate or severe food insecurity over time

Eswatini
Guatemala

How they compare

Guatemala currently reports -6.4 % against -7.7 % in Eswatini, a difference of 1.3 %.

The two have swapped places 1 time across 5 shared years of data; in 2020 it was Eswatini ahead.

Eswatini ranks 114th and Guatemala ranks 113th of 121 countries.

Eswatini has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher gender gap in the prevalence of moderate or severe food insecurity, Eswatini or Guatemala?: Guatemala, at -6.4 % against -7.7 % in Eswatini as of 2024.
What is the difference in gender gap in the prevalence of moderate or severe food insecurity between Eswatini and Guatemala?: 1.3 %, with Guatemala ahead.
How many years of comparable data are there for Eswatini and Guatemala?: 5 years are reported by both, from 2020 to 2024.
How do Eswatini and Guatemala rank globally for gender gap in the prevalence of moderate or severe food insecurity?: Eswatini ranks 114th and Guatemala ranks 113th of 121 countries.
Where does this data come from?: Food and Agriculture Organization of the United Nations, published as Gender gap in the prevalence of moderate or severe food insecurity (15 years old and over) (no breakdown by urbanisation) — Value — 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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Eswatini vs Guatemala: Gender gap in the prevalence of moderate or severe food insecurity. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://agriculture.statizoid.com/compare/gender-gap-in-the-prevalence-of-moderate-or-severe-food-insecurity-15-years-old-and-over/eswatini/guatemala/

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<a href="https://agriculture.statizoid.com/compare/gender-gap-in-the-prevalence-of-moderate-or-severe-food-insecurity-15-years-old-and-over/eswatini/guatemala/">Eswatini vs Guatemala: Gender gap in the prevalence of moderate or severe food insecurity</a> — Statizoid

About this data

Indicator: Gender gap in the prevalence of moderate or severe food insecurity (15 years old and over) (no breakdown by urbanisation) — Value — 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: 13 August 2026

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.