China, Macao SAR vs Serbia: Share of employment by sex in industry: Employment in agriculture

China, Macao SAR
45.65 %
in 2023
Serbia
45.03 %
in 2023
China, Macao SAR rank
37th
Serbia rank
39th

Share of employment by sex in industry: Employment in agriculture over time

  • China, Macao SAR
  • Serbia
0204060200020112023

How they compare

China, Macao SAR currently reports 45.65 % against 45.03 % in Serbia, a difference of 0.62 %.

The two have swapped places 5 times across 24 shared years of data; in 2000 it was Serbia ahead.

China, Macao SAR ranks 37th and Serbia ranks 39th of 174 countries.

Across the 3 decades both report, China, Macao SAR averaged higher in 2 and Serbia in 1.

Head to head by decade

Decade China, Macao SAR Serbia Difference Ahead
2000s 48.48 % 48.92 % 0.447 % Serbia
2010s 47.47 % 43.67 % 3.79 % China, Macao SAR
2020s 46.16 % 44.21 % 1.95 % China, Macao SAR

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of employment by sex in industry: employment in agriculture, China, Macao SAR or Serbia?
China, Macao SAR, at 45.65 % against 45.03 % in Serbia as of 2023.
What is the difference in share of employment by sex in industry: employment in agriculture between China, Macao SAR and Serbia?
0.62 %, with China, Macao SAR ahead.
How many years of comparable data are there for China, Macao SAR and Serbia?
24 years are reported by both, from 2000 to 2023.
How do China, Macao SAR and Serbia rank globally for share of employment by sex in industry: employment in agriculture?
China, Macao SAR ranks 37th and Serbia ranks 39th of 174 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Share of employment by sex in industry: Employment in agriculture — Value — Female — 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.

Individual pages

Share, cite or embed this page

Cite this page

China, Macao SAR vs Serbia: Share of employment by sex in industry: Employment in agriculture. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 19 September 2026, from https://agriculture.statizoid.com/compare/share-of-employment-by-sex-in-industry-employment-in-agriculture-value-female-all-age/china-macao-sar/serbia/

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/share-of-employment-by-sex-in-industry-employment-in-agriculture-value-female-all-age/china-macao-sar/serbia/">China, Macao SAR vs Serbia: Share of employment by sex in industry: Employment in agriculture</a> — Statizoid

About this data

Indicator
Share of employment by sex in industry: Employment in agriculture — Value — Female — All age ranges or no breakdown by age — National — Agriculture
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
224 places, 5,306 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.