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

5 years are reported by both, from 2012 to 2018.

Where does this data come from?

Food and Agriculture Organization of the United Nations, published as Share of Self-employed people in [industry] out of total employment in [industry] by [sex]: Total employment — 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.

Guatemala vs Namibia: Share of Self-employed people in [industry] out of total employment

Guatemala

48.92 %

in 2024

Namibia

42.89 %

in 2018

Guatemala rank

19th

Namibia rank

21st

Share of Self-employed people in [industry] out of total employment over time

Guatemala
Namibia

How they compare

Guatemala currently reports 48.92 % against 42.89 % in Namibia, a difference of 6.03 %.

That makes Guatemala's figure about 1.1 times Namibia's.

Across all 5 years both countries report, Guatemala has been ahead every year.

Guatemala ranks 19th and Namibia ranks 21st of 68 countries.

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

Frequently asked questions

Which has higher share of self-employed people in [industry] out of total employment, Guatemala or Namibia?: Guatemala, at 48.92 % against 42.89 % in Namibia as of 2024.
What is the difference in share of self-employed people in [industry] out of total employment between Guatemala and Namibia?: 6.03 %, with Guatemala ahead.
How many years of comparable data are there for Guatemala and Namibia?: 5 years are reported by both, from 2012 to 2018.
How do Guatemala and Namibia rank globally for share of self-employed people in [industry] out of total employment?: Guatemala ranks 19th and Namibia ranks 21st of 68 countries.
Where does this data come from?: Food and Agriculture Organization of the United Nations, published as Share of Self-employed people in [industry] out of total employment in [industry] by [sex]: Total employment — 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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Guatemala vs Namibia: Share of Self-employed people in [industry] out of total employment. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://economy.statizoid.com/compare/share-of-self-employed-people-in-industry-out-of-total-employment-in-industry-by-sex-6/guatemala/namibia/

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<a href="https://economy.statizoid.com/compare/share-of-self-employed-people-in-industry-out-of-total-employment-in-industry-by-sex-6/guatemala/namibia/">Guatemala vs Namibia: Share of Self-employed people in [industry] out of total employment</a> — Statizoid

About this data

Indicator: Share of Self-employed people in [industry] out of total employment in [industry] by [sex]: Total employment — 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: 77 places, 1,154 data points, 2000–2025
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.