Democratic Republic of the Congo vs Indonesia: Employment in agrifood systems by subindustry and sex: Agriculture

Democratic Republic of the Congo
9,104 1000 No
in 2023
Indonesia
25,179 1000 No
in 2023
Democratic Republic of the Congo rank
5th
Indonesia rank
3rd

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

  • Democratic Republic of the Congo
  • Indonesia
5.0k10.0k15.0k20.0k25.0k30.0k200020112023

How they compare

Indonesia currently reports 25,179 1000 No against 9,104 1000 No in Democratic Republic of the Congo, a difference of 16,075 1000 No.

That makes Indonesia's figure about 2.8 times Democratic Republic of the Congo's.

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

Democratic Republic of the Congo ranks 5th and Indonesia ranks 3rd of 16 countries.

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

Head to head by decade

Decade Democratic Republic of the Congo Indonesia Difference Ahead
2000s 6,365 1000 No 27,542 1000 No 21,178 1000 No Indonesia
2010s 7,422 1000 No 25,852 1000 No 18,430 1000 No Indonesia
2020s 8,798 1000 No 24,957 1000 No 16,159 1000 No Indonesia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher employment in agrifood systems by subindustry and sex: agriculture, Democratic Republic of the Congo or Indonesia?
Indonesia, at 25,179 1000 No against 9,104 1000 No in Democratic Republic of the Congo as of 2023.
What is the difference in employment in agrifood systems by subindustry and sex: agriculture between Democratic Republic of the Congo and Indonesia?
16,075 1000 No, with Indonesia ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Indonesia?
24 years are reported by both, from 2000 to 2023.
How do Democratic Republic of the Congo and Indonesia rank globally for employment in agrifood systems by subindustry and sex: agriculture?
Democratic Republic of the Congo ranks 5th and Indonesia ranks 3rd of 16 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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Democratic Republic of the Congo vs Indonesia: Employment in agrifood systems by subindustry and sex: Agriculture. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-agriculture-value-male-all-age/democratic-republic-of-the-congo/indonesia/

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<a href="https://agriculture.statizoid.com/compare/employment-in-agrifood-systems-by-subindustry-and-sex-agriculture-value-male-all-age/democratic-republic-of-the-congo/indonesia/">Democratic Republic of the Congo vs Indonesia: 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.