Bhutan vs Eswatini: Imports of low carbon technology products, US dollar (World), gaps
Bhutan
49.20 million
in 2023
Eswatini
38.57 million
in 2023
Bhutan rank
157th
Eswatini rank
160th
Imports of low carbon technology products, US dollar (World), gaps over time
- Bhutan
- Eswatini
How they compare
Bhutan currently reports 49.20 million against 38.57 million in Eswatini, a difference of 10.62 million.
That makes Bhutan's figure about 1.3 times Eswatini's.
The two have swapped places 1 time across 10 shared years of data; in 2005 it was Eswatini ahead.
Bhutan ranks 157th and Eswatini ranks 160th of 194 countries.
Across the 3 decades both report, Bhutan averaged higher in 2 and Eswatini in 1.
Head to head by decade
| Decade | Bhutan | Eswatini | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 16.95 million | 18.50 million | 1.55 million | Eswatini |
| 2010s | 43.96 million | 27.97 million | 15.99 million | Bhutan |
| 2020s | 55.96 million | 38.76 million | 17.21 million | Bhutan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher imports of low carbon technology products, us dollar (world), gaps, Bhutan or Eswatini?
- Bhutan, at 49.20 million against 38.57 million in Eswatini as of 2023.
- What is the difference in imports of low carbon technology products, us dollar (world), gaps between Bhutan and Eswatini?
- 10.62 million, with Bhutan ahead.
- How many years of comparable data are there for Bhutan and Eswatini?
- 10 years are reported by both, from 2005 to 2023.
- How do Bhutan and Eswatini rank globally for imports of low carbon technology products, us dollar (world), gaps?
- Bhutan ranks 157th and Eswatini ranks 160th of 194 countries.
- Where does this data come from?
- Statizoid (derived), published as Imports of low carbon technology products, US dollar (World), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Imports of low carbon technology products, US dollar (World) with 96 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.