China, mainland vs Indonesia: ILO: ILO Modelled Estimates Employment in agriculture ILO … Female

China, mainland
62,928 1000 No
in 2025
Indonesia
14,275 1000 No
in 2025
China, mainland rank
3rd
Indonesia rank
5th

ILO: ILO Modelled Estimates Employment in agriculture ILO … Female over time

  • China, mainland
  • Indonesia
050.0k100.0k150.0k199120082025

How they compare

China, mainland currently reports 62,928 1000 No against 14,275 1000 No in Indonesia, a difference of 48,653 1000 No.

That makes China, mainland's figure about 4.4 times Indonesia's.

Across all 35 years both countries report, China, mainland has been ahead every year.

China, mainland ranks 3rd and Indonesia ranks 5th of 194 countries.

China, mainland has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade China, mainland Indonesia Difference Ahead
1990s 145,271 1000 No 14,283 1000 No 130,988 1000 No China, mainland
2000s 133,794 1000 No 15,378 1000 No 118,415 1000 No China, mainland
2010s 87,651 1000 No 14,362 1000 No 73,289 1000 No China, mainland
2020s 66,269 1000 No 14,103 1000 No 52,166 1000 No China, mainland

Averages of every year both report within each decade.

Frequently asked questions

Which has higher ilo - ilo modelled estimates — employment in agriculture - ilo, China, mainland or Indonesia?
China, mainland, at 62,928 1000 No against 14,275 1000 No in Indonesia as of 2025.
What is the difference in ilo - ilo modelled estimates — employment in agriculture - ilo between China, mainland and Indonesia?
48,653 1000 No, with China, mainland ahead.
How many years of comparable data are there for China, mainland and Indonesia?
35 years are reported by both, from 1991 to 2025.
How do China, mainland and Indonesia rank globally for ilo - ilo modelled estimates — employment in agriculture - ilo?
China, mainland ranks 3rd and Indonesia ranks 5th of 194 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — Female — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

China, mainland vs Indonesia: ILO - ILO Modelled Estimates — Employment in agriculture - ILO. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 24 October 2026, from https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-female-value/china-mainland/indonesia/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://agriculture.statizoid.com/compare/ilo-ilo-modelled-estimates-employment-in-agriculture-ilo-modelled-estimates-female-value/china-mainland/indonesia/">China, mainland vs Indonesia: ILO - ILO Modelled Estimates — Employment in agriculture - ILO</a> — Statizoid

About this data

Indicator
ILO - ILO Modelled Estimates — Employment in agriculture - ILO modelled estimates — Female — Value
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
227 places, 7,928 data points, 1991–2025
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.