Honduras vs Rwanda: Non Food — Gross Production Value
Honduras
2.09 million 1000 SLC
in 2024
Rwanda
1.99 million 1000 SLC
in 2024
Honduras rank
39th
Rwanda rank
41st
Non Food — Gross Production Value over time
- Honduras
- Rwanda
How they compare
Honduras currently reports 2.09 million 1000 SLC against 1.99 million 1000 SLC in Rwanda, a difference of 100,290 1000 SLC.
That makes Honduras's figure about 1.1 times Rwanda's.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Rwanda ahead.
Honduras ranks 39th and Rwanda ranks 41st of 120 countries.
Rwanda has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Honduras | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 179,834 1000 SLC | 758,068 1000 SLC | 578,234 1000 SLC | Rwanda |
| 2000s | 609,116 1000 SLC | 1.12 million 1000 SLC | 515,201 1000 SLC | Rwanda |
| 2010s | 939,401 1000 SLC | 2.11 million 1000 SLC | 1.17 million 1000 SLC | Rwanda |
| 2020s | 1.76 million 1000 SLC | 1.99 million 1000 SLC | 224,804 1000 SLC | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production value, Honduras or Rwanda?
- Honduras, at 2.09 million 1000 SLC against 1.99 million 1000 SLC in Rwanda as of 2024.
- What is the difference in non food — gross production value between Honduras and Rwanda?
- 100,290 1000 SLC, with Honduras ahead.
- How many years of comparable data are there for Honduras and Rwanda?
- 34 years are reported by both, from 1991 to 2024.
- How do Honduras and Rwanda rank globally for non food — gross production value?
- Honduras ranks 39th and Rwanda ranks 41st of 120 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Non Food — 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.