Botswana vs Nepal: Merchandise imports from high-income economies
Merchandise imports from high-income economies over time
- Botswana
- Nepal
How they compare
Nepal currently reports 12.6% against 9.3% in Botswana, a difference of 3.3%.
That makes Nepal's figure about 1.4 times Botswana's.
The two have swapped places 4 times across 24 shared years of data; in 2000 it was Nepal ahead.
Botswana ranks 202nd and Nepal ranks 200th of 206 countries.
Across the 3 decades both report, Botswana averaged higher in 2 and Nepal in 1.
Head to head by decade
| Decade | Botswana | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 14.4% | 27.8% | 13.3% | Nepal |
| 2010s | 19.6% | 13.8% | 5.8% | Botswana |
| 2020s | 19.8% | 12.3% | 7.4% | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher merchandise imports from high-income economies, Botswana or Nepal?
- Nepal, at 12.6% against 9.3% in Botswana as of 2023.
- What is the difference in merchandise imports from high-income economies between Botswana and Nepal?
- 3.3%, with Nepal ahead.
- How many years of comparable data are there for Botswana and Nepal?
- 24 years are reported by both, from 2000 to 2023.
- How do Botswana and Nepal rank globally for merchandise imports from high-income economies?
- Botswana ranks 202nd and Nepal ranks 200th of 206 countries.
- Where does this data come from?
- Staff estimates, World Bank (WB), published as Merchandise imports from high-income economies (% of total merchandise imports). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Merchandise imports from high-income economies are the sum of merchandise imports by the reporting economy from high-income economies according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.