Botswana vs Yemen: ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$)
ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) over time
- Botswana
- Yemen
How they compare
Botswana currently reports 1,870 USD against 1,751 USD in Yemen, a difference of 119 USD.
That makes Botswana's figure about 1.1 times Yemen's.
The two have swapped places 2 times across 34 shared years of data; in 1991 it was Botswana ahead.
Botswana ranks 137th and Yemen ranks 138th of 168 countries.
Across the 4 decades both report, Botswana averaged higher in 3 and Yemen in 1.
Head to head by decade
| Decade | Botswana | Yemen | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 4,958 USD | 1,211 USD | 3,747 USD | Botswana |
| 2000s | 2,736 USD | 2,509 USD | 227.57 USD | Botswana |
| 2010s | 2,402 USD | 3,123 USD | 720.43 USD | Yemen |
| 2020s | 1,997 USD | 1,827 USD | 170.21 USD | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ilo - modelled estimates; faostat - value added (2015 us$), Botswana or Yemen?
- Botswana, at 1,870 USD against 1,751 USD in Yemen as of 2024.
- What is the difference in ilo - modelled estimates; faostat - value added (2015 us$) between Botswana and Yemen?
- 119 USD, with Botswana ahead.
- How many years of comparable data are there for Botswana and Yemen?
- 34 years are reported by both, from 1991 to 2024.
- How do Botswana and Yemen rank globally for ilo - modelled estimates; faostat - value added (2015 us$)?
- Botswana ranks 137th and Yemen ranks 138th of 168 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as ILO - Modelled Estimates; FAOSTAT - Value added (2015 US$) — Agriculture value added per worker (constant 2015 US$) — Value. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAOSTAT Employment indicators domain focuses on indicators related to employment in agrifood systems and rural areas. The update is performed yearly, using data from the International Labour Organization (ILO) database that contains a rich set of indicators from a wide range of topics related to labour statistics. The indicators published in FAOSTAT are derived from the labour force statistics (LFS) and rural and urban labour markets (RURURB) databases of the ILOSTAT database. In addition, the ILO modelled estimates and projections (ILOEST) are used to provide information on employment in agriculture. FAOSTAT also publishes indicators on employment in agrifood systems (AFS) from 2000 at the national, regional, and global levels, using a methodology developed by the FAO to estimate the number of people employed within these systems.