Gender gap in formal employment by industry: Agriculture — Value in Botswana
Botswana: Gender gap in formal employment by industry: Agriculture — Value was -1.11 % in 2024. ◆ Volatile
Gender gap in formal employment by industry: Agriculture — Value in Botswana, 2006–2024
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
In 2024, gender gap in formal employment by industry: agriculture — value in Botswana stood at -1.11 %.
The figure is down 146.7% on the previous year and up 80.3% over ten years.
Over the whole period, gender gap in formal employment by industry: agriculture — value in Botswana peaked at 0.01 % in 2006 and was at its lowest, -5.64 %, in 2019.
Botswana ranks 31st of 39 countries on this measure, in the bottom quarter.
Gender gap in formal employment by industry: Agriculture — Value in Botswana, year by year
| Year | % | Change |
|---|---|---|
| 2006 | 0.01 % | — |
| 2019 | -5.64 % | -56500.0% |
| 2020 | -1.76 % | -68.8% |
| 2021 | -1.41 % | -19.9% |
| 2022 | -2.64 % | +87.2% |
| 2023 | -0.45 % | -83.0% |
| 2024 | -1.11 % | +146.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.01 % | 0.01 % | 0.01 % | 1 |
| 2010s | -5.64 % | -5.64 % | -5.64 % | 1 |
| 2020s | -1.47 % | -2.64 % | -0.45 % | 5 |
Countries ranked near Botswana
More agriculture & rural data for Botswana
- Agriculture, forestry, and fishing, value added (current US$), annual 4.45 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.0178 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 138.54 current US$ per person (2025)
- Rural population, annual growth rate 0.0839 % change on previous year (2025)
- Rural population, per unit of GDP 0 units per US$ of GDP (2025)
- Rural population, per capita 0.3204 units per person (2025)
- Share of GDP from agriculture 1.8% (2025)
- Agriculture as a share of GDP vs. GDP per capita 1.8% (2025)
- Agricultural raw materials exports 0.0% (2023)
- Agricultural raw materials imports 0.8% (2023)
Frequently asked questions
- What is gender gap in formal employment by industry: agriculture — value in Botswana?
- Gender gap in formal employment by industry: agriculture — value in Botswana was -1.11 % in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gender gap in formal employment by industry: agriculture — value recorded in Botswana?
- The highest recorded value was 0.01 % in 2006.
- What is the lowest gender gap in formal employment by industry: agriculture — value recorded in Botswana?
- The lowest recorded value was -5.64 % in 2019.
- How does Botswana rank for gender gap in formal employment by industry: agriculture — value?
- Botswana ranks 31st out of 39 countries with data for 2024.
- Is gender gap in formal employment by industry: agriculture — value rising or falling in Botswana?
- Over the last ten years it is up 80.3%. The long-run trend across the full record is volatile.
- Where does this Botswana data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Gender gap in formal employment by industry: Agriculture — Value — All age ranges or no breakdown by age — National — Agriculture. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 7 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.