Ethiopia vs Zimbabwe: Sugar cane — Gross Production Value
Sugar cane — Gross Production Value over time
- Ethiopia
- Zimbabwe
How they compare
Zimbabwe currently reports 3.59 million 1000 SLC against 2.55 million 1000 SLC in Ethiopia, a difference of 1.05 million 1000 SLC.
That makes Zimbabwe's figure about 1.4 times Ethiopia's.
The two have swapped places 3 times across 27 shared years of data; in 1993 it was Ethiopia ahead.
Ethiopia ranks 39th and Zimbabwe ranks 36th of 63 countries.
Across the 4 decades both report, Ethiopia averaged higher in 3 and Zimbabwe in 1.
Head to head by decade
| Decade | Ethiopia | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 3.98 million 1000 SLC | 1.97 million 1000 SLC | 2.00 million 1000 SLC | Ethiopia |
| 2000s | 5.98 million 1000 SLC | 2.12 million 1000 SLC | 3.86 million 1000 SLC | Ethiopia |
| 2010s | 3.53 million 1000 SLC | 2.42 million 1000 SLC | 1.11 million 1000 SLC | Ethiopia |
| 2020s | 2.72 million 1000 SLC | 3.36 million 1000 SLC | 637,122 1000 SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Ethiopia or Zimbabwe?
- Zimbabwe, at 3.59 million 1000 SLC against 2.55 million 1000 SLC in Ethiopia as of 2024.
- What is the difference in sugar cane — gross production value between Ethiopia and Zimbabwe?
- 1.05 million 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Ethiopia and Zimbabwe?
- 27 years are reported by both, from 1993 to 2024.
- How do Ethiopia and Zimbabwe rank globally for sugar cane — gross production value?
- Ethiopia ranks 39th and Zimbabwe ranks 36th of 63 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane — Gross Production Value (constant 2014-2016 thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.