Least Developed Countries (LDCs) vs United Republic of Tanzania: FAO Model — Share of females in non-agricultural AFS employment

Least Developed Countries (LDCs)
47.2 %
in 2023
United Republic of Tanzania
52.2 %
in 2023
Least Developed Countries (LDCs) rank
12th
United Republic of Tanzania rank
10th

FAO Model — Share of females in non-agricultural AFS employment over time

  • Least Developed Countries (LDCs)
  • United Republic of Tanzania
0204060200020112023

How they compare

United Republic of Tanzania currently reports 52.2 % against 47.2 % in Least Developed Countries (LDCs), a difference of 5 %.

That makes United Republic of Tanzania's figure about 1.1 times Least Developed Countries (LDCs)'s.

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

Least Developed Countries (LDCs) ranks 12th and United Republic of Tanzania ranks 10th of 15 groups.

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

Head to head by decade

Decade Least Developed Countries (LDCs) United Republic of Tanzania Difference Ahead
2000s 38.12 % 49.99 % 11.87 % United Republic of Tanzania
2010s 43.29 % 51.2 % 7.91 % United Republic of Tanzania
2020s 45.32 % 53.21 % 7.89 % United Republic of Tanzania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher fao model — share of females in non-agricultural afs employment, Least Developed Countries (LDCs) or United Republic of Tanzania?
United Republic of Tanzania, at 52.2 % against 47.2 % in Least Developed Countries (LDCs) as of 2023.
What is the difference in fao model — share of females in non-agricultural afs employment between Least Developed Countries (LDCs) and United Republic of Tanzania?
5 %, with United Republic of Tanzania ahead.
How many years of comparable data are there for Least Developed Countries (LDCs) and United Republic of Tanzania?
24 years are reported by both, from 2000 to 2023.
How do Least Developed Countries (LDCs) and United Republic of Tanzania rank globally for fao model — share of females in non-agricultural afs employment?
Least Developed Countries (LDCs) ranks 12th and United Republic of Tanzania ranks 10th of 15 groups.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as FAO Model — Share of females in non-agricultural AFS employment — Female — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Least Developed Countries (LDCs) vs United Republic of Tanzania: FAO Model — Share of females in non-agricultural AFS employment. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/fao-model-share-of-females-in-non-agricultural-afs-employment-female-value/least-developed-countries-ldcs/united-republic-of-tanzania/

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About this data

Indicator
FAO Model — Share of females in non-agricultural AFS employment — Female — Value
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
171 places, 3,932 data points, 2000–2023
Last refreshed

The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.