Democratic Republic of the Congo vs Thailand: Employment in agrifood systems by subindustry and sex: Total — Value

Democratic Republic of the Congo
12,673 1000 No
in 2023
Thailand
10,217 1000 No
in 2023
Democratic Republic of the Congo rank
6th
Thailand rank
8th

Employment in agrifood systems by subindustry and sex: Total — Value over time

  • Democratic Republic of the Congo
  • Thailand
05.0k10.0k15.0k200020112023

How they compare

Democratic Republic of the Congo currently reports 12,673 1000 No against 10,217 1000 No in Thailand, a difference of 2,456 1000 No.

That makes Democratic Republic of the Congo's figure about 1.2 times Thailand's.

The two have swapped places 1 time across 24 shared years of data; in 2000 it was Thailand ahead.

Democratic Republic of the Congo ranks 6th and Thailand ranks 8th of 16 countries.

Across the 3 decades both report, Democratic Republic of the Congo averaged higher in 1 and Thailand in 2.

Head to head by decade

Decade Democratic Republic of the Congo Thailand Difference Ahead
2000s 8,445 1000 No 10,026 1000 No 1,581 1000 No Thailand
2010s 9,690 1000 No 10,656 1000 No 966.37 1000 No Thailand
2020s 12,036 1000 No 10,056 1000 No 1,979 1000 No Democratic Republic of the Congo

Averages of every year both report within each decade.

Frequently asked questions

Which has higher employment in agrifood systems by subindustry and sex: total — value, Democratic Republic of the Congo or Thailand?
Democratic Republic of the Congo, at 12,673 1000 No against 10,217 1000 No in Thailand as of 2023.
What is the difference in employment in agrifood systems by subindustry and sex: total — value between Democratic Republic of the Congo and Thailand?
2,456 1000 No, with Democratic Republic of the Congo ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Thailand?
24 years are reported by both, from 2000 to 2023.
How do Democratic Republic of the Congo and Thailand rank globally for employment in agrifood systems by subindustry and sex: total — value?
Democratic Republic of the Congo ranks 6th and Thailand ranks 8th 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: Total — Value — Female — All age ranges or no breakdown by age — National — Agrifood systems. 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 Thailand: Employment in agrifood systems by subindustry and sex: Total — Value. 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-total-value-female-all-age-ranges/democratic-republic-of-the-congo/thailand/

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About this data

Indicator
Employment in agrifood systems by subindustry and sex: Total — Value — Female — All age ranges or no breakdown by age — National — Agrifood systems
Unit
1000 No
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
185 places, 4,402 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.