Sri Lanka vs Zimbabwe: Imports of low carbon technology products, US dollar (World), gaps
Sri Lanka
424.41 million
in 2024
Zimbabwe
416.98 million
in 2024
Sri Lanka rank
104th
Zimbabwe rank
105th
Imports of low carbon technology products, US dollar (World), gaps over time
- Sri Lanka
- Zimbabwe
How they compare
Sri Lanka currently reports 424.41 million against 416.98 million in Zimbabwe, a difference of 7.43 million.
Across all 25 years both countries report, Sri Lanka has been ahead every year.
Sri Lanka ranks 104th and Zimbabwe ranks 105th of 194 countries.
Sri Lanka has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Sri Lanka | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 142.66 million | 38.11 million | 104.54 million | Sri Lanka |
| 2010s | 440.52 million | 133.31 million | 307.21 million | Sri Lanka |
| 2020s | 457.99 million | 338.81 million | 119.18 million | Sri Lanka |
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, Sri Lanka or Zimbabwe?
- Sri Lanka, at 424.41 million against 416.98 million in Zimbabwe as of 2024.
- What is the difference in imports of low carbon technology products, us dollar (world), gaps between Sri Lanka and Zimbabwe?
- 7.43 million, with Sri Lanka ahead.
- How many years of comparable data are there for Sri Lanka and Zimbabwe?
- 25 years are reported by both, from 2000 to 2024.
- How do Sri Lanka and Zimbabwe rank globally for imports of low carbon technology products, us dollar (world), gaps?
- Sri Lanka ranks 104th and Zimbabwe ranks 105th 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.