Kenya vs Zimbabwe: Imports of low carbon technology products, US dollar (World), gaps
Kenya
391.48 million
in 2023
Zimbabwe
416.98 million
in 2024
Kenya rank
107th
Zimbabwe rank
105th
Imports of low carbon technology products, US dollar (World), gaps over time
- Kenya
- Zimbabwe
How they compare
Zimbabwe currently reports 416.98 million against 391.48 million in Kenya, a difference of 25.50 million.
That makes Zimbabwe's figure about 1.1 times Kenya's.
The two have swapped places 2 times across 24 shared years of data; in 2000 it was Kenya ahead.
Kenya ranks 107th and Zimbabwe ranks 105th of 194 countries.
Kenya has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Kenya | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 115.27 million | 38.11 million | 77.16 million | Kenya |
| 2010s | 503.79 million | 133.31 million | 370.48 million | Kenya |
| 2020s | 554.21 million | 319.27 million | 234.94 million | Kenya |
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, Kenya or Zimbabwe?
- Zimbabwe, at 416.98 million against 391.48 million in Kenya as of 2024.
- What is the difference in imports of low carbon technology products, us dollar (world), gaps between Kenya and Zimbabwe?
- 25.50 million, with Zimbabwe ahead.
- How many years of comparable data are there for Kenya and Zimbabwe?
- 24 years are reported by both, from 2000 to 2023.
- How do Kenya and Zimbabwe rank globally for imports of low carbon technology products, us dollar (world), gaps?
- Kenya ranks 107th 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.