Angola vs Mexico: Share of Workers not classified by status in [industry] out of total
Share of Workers not classified by status in [industry] out of total over time
- Angola
- Mexico
How they compare
Mexico currently reports 1.67 % against 1.52 % in Angola, a difference of 0.15 %.
That makes Mexico's figure about 1.1 times Angola's.
The two have swapped places 3 times across 6 shared years of data; in 2020 it was Angola ahead.
Angola ranks 7th and Mexico ranks 5th of 34 countries.
Angola has averaged higher in every one of the 1 decades both report.
Frequently asked questions
- Which has higher share of workers not classified by status in [industry] out of total, Angola or Mexico?
- Mexico, at 1.67 % against 1.52 % in Angola as of 2025.
- What is the difference in share of workers not classified by status in [industry] out of total between Angola and Mexico?
- 0.15 %, with Mexico ahead.
- How many years of comparable data are there for Angola and Mexico?
- 6 years are reported by both, from 2020 to 2025.
- How do Angola and Mexico rank globally for share of workers not classified by status in [industry] out of total?
- Angola ranks 7th and Mexico ranks 5th of 34 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Share of Workers not classified by status in [industry] out of total employment in [industry] by [sex]: Total employment — Value — Male — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
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.