Angola vs Iran (Islamic Republic of): Share of Self-employed people in [industry] out of total employment

Angola
99.05 %
in 2025
Iran (Islamic Republic of)
85.17 %
in 2024
Angola rank
3rd
Iran (Islamic Republic of) rank
6th

Share of Self-employed people in [industry] out of total employment over time

  • Angola
  • Iran (Islamic Republic of)
020406080100200520152025

How they compare

Angola currently reports 99.05 % against 85.17 % in Iran (Islamic Republic of), a difference of 13.88 %.

That makes Angola's figure about 1.2 times Iran (Islamic Republic of)'s.

Across all 8 years both countries report, Angola has been ahead every year.

Angola ranks 3rd and Iran (Islamic Republic of) ranks 6th of 65 countries.

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

Head to head by decade

Decade Angola Iran (Islamic Republic of) Difference Ahead
2000s 98.65 % 93 % 5.65 % Angola
2010s 98.02 % 89.69 % 8.34 % Angola
2020s 99.54 % 87.8 % 11.73 % Angola

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of self-employed people in [industry] out of total employment, Angola or Iran (Islamic Republic of)?
Angola, at 99.05 % against 85.17 % in Iran (Islamic Republic of) as of 2025.
What is the difference in share of self-employed people in [industry] out of total employment between Angola and Iran (Islamic Republic of)?
13.88 %, with Angola ahead.
How many years of comparable data are there for Angola and Iran (Islamic Republic of)?
8 years are reported by both, from 2009 to 2024.
How do Angola and Iran (Islamic Republic of) rank globally for share of self-employed people in [industry] out of total employment?
Angola ranks 3rd and Iran (Islamic Republic of) ranks 6th of 65 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Share of Self-employed people in [industry] out of total employment in [industry] by [sex]: Agricultural employment — 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.

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Angola vs Iran (Islamic Republic of): Share of Self-employed people in [industry] out of total employment. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://agriculture.statizoid.com/compare/share-of-self-employed-people-in-industry-out-of-total-employment-in-industry-by-sex-2/angola/iran-islamic-republic-of/

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<a href="https://agriculture.statizoid.com/compare/share-of-self-employed-people-in-industry-out-of-total-employment-in-industry-by-sex-2/angola/iran-islamic-republic-of/">Angola vs Iran (Islamic Republic of): Share of Self-employed people in [industry] out of total employment</a> — Statizoid

About this data

Indicator
Share of Self-employed people in [industry] out of total employment in [industry] by [sex]: Agricultural employment — 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
74 places, 1,132 data points, 2000–2025
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.