Ethiopia vs Honduras: Sugar cane — Gross Production Value
Ethiopia
4.68 million 1000 SLC
in 2024
Honduras
4.50 million 1000 SLC
in 2024
Ethiopia rank
37th
Honduras rank
39th
Sugar cane — Gross Production Value over time
- Ethiopia
- Honduras
How they compare
Ethiopia currently reports 4.68 million 1000 SLC against 4.50 million 1000 SLC in Honduras, a difference of 184,080 1000 SLC.
The two have swapped places 8 times across 32 shared years of data; in 1993 it was Ethiopia ahead.
Ethiopia ranks 37th and Honduras ranks 39th of 64 countries.
Across the 4 decades both report, Ethiopia averaged higher in 3 and Honduras in 1.
Head to head by decade
| Decade | Ethiopia | Honduras | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 607,278 1000 SLC | 489,678 1000 SLC | 117,600 1000 SLC | Ethiopia |
| 2000s | 976,635 1000 SLC | 1.48 million 1000 SLC | 507,238 1000 SLC | Honduras |
| 2010s | 2.81 million 1000 SLC | 2.00 million 1000 SLC | 803,582 1000 SLC | Ethiopia |
| 2020s | 4.47 million 1000 SLC | 3.62 million 1000 SLC | 850,764 1000 SLC | Ethiopia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Ethiopia or Honduras?
- Ethiopia, at 4.68 million 1000 SLC against 4.50 million 1000 SLC in Honduras as of 2024.
- What is the difference in sugar cane — gross production value between Ethiopia and Honduras?
- 184,080 1000 SLC, with Ethiopia ahead.
- How many years of comparable data are there for Ethiopia and Honduras?
- 32 years are reported by both, from 1993 to 2024.
- How do Ethiopia and Honduras rank globally for sugar cane — gross production value?
- Ethiopia ranks 37th and Honduras ranks 39th of 64 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane — Gross Production Value (current 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.