Middle Africa vs United Republic of Tanzania: Share of employment by sex in industry: Employment in agriculture

Middle Africa
52.71 %
in 2023
United Republic of Tanzania
50.26 %
in 2023
Middle Africa rank
3rd
United Republic of Tanzania rank
5th

Share of employment by sex in industry: Employment in agriculture over time

  • Middle Africa
  • United Republic of Tanzania
0204060200020112023

How they compare

Middle Africa currently reports 52.71 % against 50.26 % in United Republic of Tanzania, a difference of 2.45 %.

Across all 24 years both countries report, Middle Africa has been ahead every year.

Middle Africa ranks 3rd and United Republic of Tanzania ranks 5th of 19 groups.

Middle Africa has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Middle Africa United Republic of Tanzania Difference Ahead
2000s 53 % 51.42 % 1.58 % Middle Africa
2010s 52.76 % 50.04 % 2.72 % Middle Africa
2020s 52.74 % 50.08 % 2.66 % Middle Africa

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of employment by sex in industry: employment in agriculture, Middle Africa or United Republic of Tanzania?
Middle Africa, at 52.71 % against 50.26 % in United Republic of Tanzania as of 2023.
What is the difference in share of employment by sex in industry: employment in agriculture between Middle Africa and United Republic of Tanzania?
2.45 %, with Middle Africa ahead.
How many years of comparable data are there for Middle Africa and United Republic of Tanzania?
24 years are reported by both, from 2000 to 2023.
How do Middle Africa and United Republic of Tanzania rank globally for share of employment by sex in industry: employment in agriculture?
Middle Africa ranks 3rd and United Republic of Tanzania ranks 5th of 19 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Share of employment by sex in industry: Employment in agriculture — Value — Female — All age ranges or no breakdown by age — National — Agriculture. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Middle Africa vs United Republic of Tanzania: Share of employment by sex in industry: Employment in agriculture. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/share-of-employment-by-sex-in-industry-employment-in-agriculture-value-female-all-age/middle-africa/united-republic-of-tanzania/

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<a href="https://agriculture.statizoid.com/compare/share-of-employment-by-sex-in-industry-employment-in-agriculture-value-female-all-age/middle-africa/united-republic-of-tanzania/">Middle Africa vs United Republic of Tanzania: Share of employment by sex in industry: Employment in agriculture</a> — Statizoid

About this data

Indicator
Share of employment by sex in industry: Employment in agriculture — Value — Female — All age ranges or no breakdown by age — National — Agriculture
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 5,306 data points, 2000–2023
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.