Micronesia vs United States of America: Gender gap in share of employment in industry: Employment in off-farm

Micronesia
-20.2 %
in 2023
United States of America
9.07 %
in 2023
Micronesia rank
12th
United States of America rank
13th

Gender gap in share of employment in industry: Employment in off-farm over time

  • Micronesia
  • United States of America
-250255075100200020112023

How they compare

United States of America currently reports 9.07 % against -20.2 % in Micronesia, a difference of 29.27 %.

The two have swapped places 6 times across 7 shared years of data; in 2013 it was United States of America ahead.

Micronesia ranks 12th and United States of America ranks 13th of 18 countries.

Across the 2 decades both report, Micronesia averaged higher in 1 and United States of America in 1.

Head to head by decade

Decade Micronesia United States of America Difference Ahead
2010s 8.62 % 11.92 % 3.29 % United States of America
2020s 23.02 % 11.6 % 11.42 % Micronesia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gender gap in share of employment in industry: employment in off-farm, Micronesia or United States of America?
United States of America, at 9.07 % against -20.2 % in Micronesia as of 2023.
What is the difference in gender gap in share of employment in industry: employment in off-farm between Micronesia and United States of America?
29.27 %, with United States of America ahead.
How many years of comparable data are there for Micronesia and United States of America?
7 years are reported by both, from 2013 to 2023.
How do Micronesia and United States of America rank globally for gender gap in share of employment in industry: employment in off-farm?
Micronesia ranks 12th and United States of America ranks 13th of 18 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: Employment in off-farm agrifood systems — Value — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Micronesia vs United States of America: Gender gap in share of employment in industry: Employment in off-farm. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 September 2026, from https://agriculture.statizoid.com/compare/gender-gap-in-share-of-employment-in-industry-employment-in-off-farm-agrifood-systems/micronesia/united-states-of-america/

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<a href="https://agriculture.statizoid.com/compare/gender-gap-in-share-of-employment-in-industry-employment-in-off-farm-agrifood-systems/micronesia/united-states-of-america/">Micronesia vs United States of America: Gender gap in share of employment in industry: Employment in off-farm</a> — Statizoid

About this data

Indicator
Gender gap in share of employment in industry: Employment in off-farm agrifood systems — Value — All age ranges or no breakdown by age — National — Non-agricultural agrifood systems
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
206 places, 4,710 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.