Bhutan vs Zimbabwe: Merchandise imports from high-income economies
Merchandise imports from high-income economies over time
- Bhutan
- Zimbabwe
How they compare
Zimbabwe currently reports 8.7% against 4.9% in Bhutan, a difference of 3.8%.
That makes Zimbabwe's figure about 1.8 times Bhutan's.
The two have swapped places 4 times across 24 shared years of data; in 2000 it was Zimbabwe ahead.
Bhutan ranks 205th and Zimbabwe ranks 203rd of 206 countries.
Zimbabwe has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Bhutan | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 17.9% | 18.3% | 0.5% | Zimbabwe |
| 2010s | 11.2% | 11.4% | 0.2% | Zimbabwe |
| 2020s | 4.7% | 8.7% | 4.0% | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher merchandise imports from high-income economies, Bhutan or Zimbabwe?
- Zimbabwe, at 8.7% against 4.9% in Bhutan as of 2023.
- What is the difference in merchandise imports from high-income economies between Bhutan and Zimbabwe?
- 3.8%, with Zimbabwe ahead.
- How many years of comparable data are there for Bhutan and Zimbabwe?
- 24 years are reported by both, from 2000 to 2023.
- How do Bhutan and Zimbabwe rank globally for merchandise imports from high-income economies?
- Bhutan ranks 205th and Zimbabwe ranks 203rd 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.