Democratic Republic of the Congo vs Republic of Moldova: Gender gap in share of employment in industry: Total employment in

Democratic Republic of the Congo
-11.83 %
in 2023
Republic of Moldova
-9.62 %
in 2023
Democratic Republic of the Congo rank
19th
Republic of Moldova rank
18th

Gender gap in share of employment in industry: Total employment in over time

  • Democratic Republic of the Congo
  • Republic of Moldova
-12.5-10-7.5-5-2.5200020112023

How they compare

Republic of Moldova currently reports -9.62 % against -11.83 % in Democratic Republic of the Congo, a difference of 2.21 %.

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

Democratic Republic of the Congo ranks 19th and Republic of Moldova ranks 18th of 19 countries.

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

Head to head by decade

Decade Democratic Republic of the Congo Republic of Moldova Difference Ahead
2000s -10.89 % -5.82 % 5.07 % Republic of Moldova
2010s -9.55 % -8.35 % 1.2 % Republic of Moldova
2020s -11.14 % -9.3 % 1.84 % Republic of Moldova

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gender gap in share of employment in industry: total employment in, Democratic Republic of the Congo or Republic of Moldova?
Republic of Moldova, at -9.62 % against -11.83 % in Democratic Republic of the Congo as of 2023.
What is the difference in gender gap in share of employment in industry: total employment in between Democratic Republic of the Congo and Republic of Moldova?
2.21 %, with Republic of Moldova ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Republic of Moldova?
24 years are reported by both, from 2000 to 2023.
How do Democratic Republic of the Congo and Republic of Moldova rank globally for gender gap in share of employment in industry: total employment in?
Democratic Republic of the Congo ranks 19th and Republic of Moldova ranks 18th of 19 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Gender gap in share of employment in industry: Total employment in agrifood systems — Value — 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 Republic of Moldova: Gender gap in share of employment in industry: Total employment in. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/gender-gap-in-share-of-employment-in-industry-total-employment-in-agrifood-systems-value/democratic-republic-of-the-congo/republic-of-moldova/

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About this data

Indicator
Gender gap in share of employment in industry: Total employment in agrifood systems — Value — All age ranges or no breakdown by age — National — Agrifood systems
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 5,335 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.