Congo vs Honduras: Beans, dry — Gross Production Value
Congo
8.14 million 1000 SLC
in 2024
Honduras
6.48 million 1000 SLC
in 2024
Congo rank
33rd
Honduras rank
36th
Beans, dry — Gross Production Value over time
- Congo
- Honduras
How they compare
Congo currently reports 8.14 million 1000 SLC against 6.48 million 1000 SLC in Honduras, a difference of 1.67 million 1000 SLC.
That makes Congo's figure about 1.3 times Honduras's.
Across all 34 years both countries report, Congo has been ahead every year.
Congo ranks 33rd and Honduras ranks 36th of 107 countries.
Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Honduras | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 970,660 1000 SLC | 378,884 1000 SLC | 591,776 1000 SLC | Congo |
| 2000s | 2.49 million 1000 SLC | 862,507 1000 SLC | 1.63 million 1000 SLC | Congo |
| 2010s | 6.58 million 1000 SLC | 1.76 million 1000 SLC | 4.82 million 1000 SLC | Congo |
| 2020s | 7.51 million 1000 SLC | 4.87 million 1000 SLC | 2.64 million 1000 SLC | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Congo or Honduras?
- Congo, at 8.14 million 1000 SLC against 6.48 million 1000 SLC in Honduras as of 2024.
- What is the difference in beans, dry — gross production value between Congo and Honduras?
- 1.67 million 1000 SLC, with Congo ahead.
- How many years of comparable data are there for Congo and Honduras?
- 34 years are reported by both, from 1991 to 2024.
- How do Congo and Honduras rank globally for beans, dry — gross production value?
- Congo ranks 33rd and Honduras ranks 36th of 107 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry — 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.