United Republic of Tanzania vs United States of America: Gender gap in the share of Employees in [industry]: Total employment

United Republic of Tanzania
8.33 %
in 2024
United States of America
-1.49 %
in 2025
United Republic of Tanzania rank
2nd
United States of America rank
2nd

Gender gap in the share of Employees in [industry]: Total employment over time

  • United Republic of Tanzania
  • United States of America
-50510200320142025

How they compare

United Republic of Tanzania currently reports 8.33 % against -1.49 % in United States of America, a difference of 9.82 %.

That makes United Republic of Tanzania's figure about 5.6 times United States of America's.

Across all 6 years both countries report, United Republic of Tanzania has been ahead every year.

United Republic of Tanzania ranks 2nd and United States of America ranks 2nd of 7 countries.

United Republic of Tanzania has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade United Republic of Tanzania United States of America Difference Ahead
2000s 8.42 % -2.68 % 11.1 % United Republic of Tanzania
2010s 9.46 % -2.3 % 11.76 % United Republic of Tanzania
2020s 8.94 % -1.61 % 10.56 % United Republic of Tanzania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gender gap in the share of employees in [industry]: total employment, United Republic of Tanzania or United States of America?
United Republic of Tanzania, at 8.33 % against -1.49 % in United States of America as of 2024.
What is the difference in gender gap in the share of employees in [industry]: total employment between United Republic of Tanzania and United States of America?
9.82 %, with United Republic of Tanzania ahead.
How many years of comparable data are there for United Republic of Tanzania and United States of America?
6 years are reported by both, from 2006 to 2024.
How do United Republic of Tanzania and United States of America rank globally for gender gap in the share of employees in [industry]: total employment?
United Republic of Tanzania ranks 2nd and United States of America ranks 2nd of 7 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gender gap in the share of Employees in [industry]: Total employment — 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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United Republic of Tanzania vs United States of America: Gender gap in the share of Employees in [industry]: Total employment. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 September 2026, from https://economy.statizoid.com/compare/gender-gap-in-the-share-of-employees-in-industry-total-employment-value-all-age-ranges-or/united-republic-of-tanzania/united-states-of-america/

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About this data

Indicator
Gender gap in the share of Employees in [industry]: Total employment — 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
77 places, 1,154 data points, 2000–2025
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.