Botswana vs Maldives: Imports of low carbon technology products, US dollar (World), gaps
Botswana
122.17 million
in 2023
Maldives
122.50 million
in 2024
Botswana rank
141st
Maldives rank
140th
Imports of low carbon technology products, US dollar (World), gaps over time
- Botswana
- Maldives
How they compare
Maldives currently reports 122.50 million against 122.17 million in Botswana, a difference of 331,000.
The two have swapped places 2 times across 24 shared years of data; in 2000 it was Botswana ahead.
Botswana ranks 141st and Maldives ranks 140th of 194 countries.
Botswana has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Botswana | Maldives | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 70.25 million | 23.92 million | 46.34 million | Botswana |
| 2010s | 180.32 million | 65.42 million | 114.90 million | Botswana |
| 2020s | 122.69 million | 91.78 million | 30.91 million | Botswana |
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, Botswana or Maldives?
- Maldives, at 122.50 million against 122.17 million in Botswana as of 2024.
- What is the difference in imports of low carbon technology products, us dollar (world), gaps between Botswana and Maldives?
- 331,000, with Maldives ahead.
- How many years of comparable data are there for Botswana and Maldives?
- 24 years are reported by both, from 2000 to 2023.
- How do Botswana and Maldives rank globally for imports of low carbon technology products, us dollar (world), gaps?
- Botswana ranks 141st and Maldives ranks 140th 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.