Bhutan vs Eswatini: Trade balance in low carbon technology products, US dollar (World)
Bhutan
-49.15 million
in 2023
Eswatini
-36.94 million
in 2023
Bhutan rank
49th
Eswatini rank
46th
Trade balance in low carbon technology products, US dollar (World) over time
- Bhutan
- Eswatini
How they compare
Eswatini currently reports -36.94 million against -49.15 million in Bhutan, a difference of 12.21 million.
The two have swapped places 1 time across 9 shared years of data; in 2005 it was Bhutan ahead.
Bhutan ranks 49th and Eswatini ranks 46th of 187 countries.
Across the 3 decades both report, Bhutan averaged higher in 1 and Eswatini in 2.
Head to head by decade
| Decade | Bhutan | Eswatini | Difference | Ahead |
|---|---|---|---|---|
| 2000s | -16.64 million | -16.83 million | 194,740 | Bhutan |
| 2010s | -43.88 million | -24.70 million | 19.18 million | Eswatini |
| 2020s | -49.15 million | -36.94 million | 12.21 million | Eswatini |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher trade balance in low carbon technology products, us dollar (world), Bhutan or Eswatini?
- Eswatini, at -36.94 million against -49.15 million in Bhutan as of 2023.
- What is the difference in trade balance in low carbon technology products, us dollar (world) between Bhutan and Eswatini?
- 12.21 million, with Eswatini ahead.
- How many years of comparable data are there for Bhutan and Eswatini?
- 9 years are reported by both, from 2005 to 2023.
- How do Bhutan and Eswatini rank globally for trade balance in low carbon technology products, us dollar (world)?
- Bhutan ranks 49th and Eswatini ranks 46th of 187 countries.
- Where does this data come from?
- Statizoid (derived), published as Trade balance in 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
Trade balance in low carbon technology products, US dollar (World) with 118 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.