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

Azerbaijan
55.95 %
in 2023
United Republic of Tanzania
50.26 %
in 2023
Azerbaijan rank
6th
United Republic of Tanzania rank
5th

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

  • Azerbaijan
  • United Republic of Tanzania
0204060200020112023

How they compare

Azerbaijan currently reports 55.95 % against 50.26 % in United Republic of Tanzania, a difference of 5.69 %.

That makes Azerbaijan's figure about 1.1 times United Republic of Tanzania's.

The two have swapped places 2 times across 24 shared years of data; in 2000 it was Azerbaijan ahead.

Azerbaijan ranks 6th and United Republic of Tanzania ranks 5th of 174 countries.

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

Head to head by decade

Decade Azerbaijan United Republic of Tanzania Difference Ahead
2000s 54.87 % 51.42 % 3.44 % Azerbaijan
2010s 58.3 % 50.04 % 8.26 % Azerbaijan
2020s 56.02 % 50.08 % 5.94 % Azerbaijan

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, Azerbaijan or United Republic of Tanzania?
Azerbaijan, at 55.95 % 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 Azerbaijan and United Republic of Tanzania?
5.69 %, with Azerbaijan ahead.
How many years of comparable data are there for Azerbaijan and United Republic of Tanzania?
24 years are reported by both, from 2000 to 2023.
How do Azerbaijan and United Republic of Tanzania rank globally for share of employment by sex in industry: employment in agriculture?
Azerbaijan ranks 6th and United Republic of Tanzania ranks 5th of 174 countries.
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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Azerbaijan 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/azerbaijan/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/azerbaijan/united-republic-of-tanzania/">Azerbaijan 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.