Gender gap in the share of Self-employed people in [industry]: Total in Serbia
Serbia: Gender gap in the share of Self-employed people in [industry]: Total was 1.82 % in 2018. ◆ Volatile
Gender gap in the share of Self-employed people in [industry]: Total in Serbia, 2007–2018
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for gender gap in the share of self-employed people in [industry]: total in Serbia is 1.82 %, measured in 2018.
That represents a change of up 48.0% on the previous year and up 133.6% over ten years.
Over the whole period, gender gap in the share of self-employed people in [industry]: total in Serbia peaked at 4.15 % in 2007 and was at its lowest, -5.41 %, in 2008.
Serbia ranks 23rd of 60 countries on this measure, in the middle of the range.
Gender gap in the share of Self-employed people in [industry]: Total in Serbia, year by year
| Year | % | Change |
|---|---|---|
| 2007 | 4.15 % | — |
| 2008 | -5.41 % | -230.4% |
| 2009 | -4.91 % | -9.2% |
| 2011 | -2.04 % | -58.5% |
| 2014 | 0.66 % | -132.4% |
| 2015 | 2.99 % | +353.0% |
| 2016 | 2.84 % | -5.0% |
| 2017 | 1.23 % | -56.7% |
| 2018 | 1.82 % | +48.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -2.06 % | -5.41 % | 4.15 % | 3 |
| 2010s | 1.25 % | -2.04 % | 2.99 % | 6 |
Countries ranked near Serbia
More agriculture & rural data for Serbia
- Agriculture, forestry, and fishing, value added (current US$), annual 14.89 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0328 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 501.36 current US$ per person (2025)
- Rural population, annual growth rate -1.24 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3736 units per person (2025)
- Share of GDP from agriculture 3.3% (2025)
- Agriculture as a share of GDP vs. GDP per capita 3.3% (2025)
- Agricultural raw materials exports 2.0% (2007)
- Agricultural raw materials imports 1.6% (2007)
Frequently asked questions
- What is gender gap in the share of self-employed people in [industry]: total in Serbia?
- Gender gap in the share of self-employed people in [industry]: total in Serbia was 1.82 % in 2018, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in the share of self-employed people in [industry]: total recorded in Serbia?
- The highest recorded value was 4.15 % in 2007.
- What is the lowest gender gap in the share of self-employed people in [industry]: total recorded in Serbia?
- The lowest recorded value was -5.41 % in 2008.
- How does Serbia rank for gender gap in the share of self-employed people in [industry]: total?
- Serbia ranks 23rd out of 60 countries with data for 2018.
- Is gender gap in the share of self-employed people in [industry]: total rising or falling in Serbia?
- Over the last ten years it is up 133.6%. The long-run trend across the full record is volatile.
- Where does this Serbia data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gender gap in the share of Self-employed people in [industry]: Total AFSemployment — Value — All age ranges or no breakdown by age — National — Agrifood systems. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.