India vs United Republic of Tanzania: Employment in agrifood systems by subindustry and sex: Agriculture

India
149,984 1000 No
in 2023
United Republic of Tanzania
10,197 1000 No
in 2023
India rank
1st
United Republic of Tanzania rank
4th

Employment in agrifood systems by subindustry and sex: Agriculture over time

  • India
  • United Republic of Tanzania
050.0k100.0k150.0k200020112023

How they compare

India currently reports 149,984 1000 No against 10,197 1000 No in United Republic of Tanzania, a difference of 139,787 1000 No.

That makes India's figure about 14.7 times United Republic of Tanzania's.

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

India ranks 1st and United Republic of Tanzania ranks 4th of 139 countries.

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

Head to head by decade

Decade India United Republic of Tanzania Difference Ahead
2000s 148,998 1000 No 6,290 1000 No 142,707 1000 No India
2010s 142,528 1000 No 7,860 1000 No 134,668 1000 No India
2020s 148,283 1000 No 9,771 1000 No 138,512 1000 No India

Averages of every year both report within each decade.

Frequently asked questions

Which has higher employment in agrifood systems by subindustry and sex: agriculture, India or United Republic of Tanzania?
India, at 149,984 1000 No against 10,197 1000 No in United Republic of Tanzania as of 2023.
What is the difference in employment in agrifood systems by subindustry and sex: agriculture between India and United Republic of Tanzania?
139,787 1000 No, with India ahead.
How many years of comparable data are there for India and United Republic of Tanzania?
24 years are reported by both, from 2000 to 2023.
How do India and United Republic of Tanzania rank globally for employment in agrifood systems by subindustry and sex: agriculture?
India ranks 1st and United Republic of Tanzania ranks 4th of 139 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Employment in agrifood systems by subindustry and sex: Agriculture — Value — Male — 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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India vs United Republic of Tanzania: Employment in agrifood systems by subindustry and sex: Agriculture. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 September 2026, from https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-agriculture-value-male-all-age/india/united-republic-of-tanzania/

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<a href="https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-agriculture-value-male-all-age/india/united-republic-of-tanzania/">India vs United Republic of Tanzania: Employment in agrifood systems by subindustry and sex: Agriculture</a> — Statizoid

About this data

Indicator
Employment in agrifood systems by subindustry and sex: Agriculture — Value — Male — All age ranges or no breakdown by age — National — Agriculture
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
185 places, 4,373 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.