Congo vs Nicaragua: Beans, dry — Gross Production Value
Congo
8.14 million 1000 SLC
in 2024
Nicaragua
8.07 million 1000 SLC
in 2023
Congo rank
28th
Nicaragua rank
29th
Beans, dry — Gross Production Value over time
- Congo
- Nicaragua
How they compare
Congo currently reports 8.14 million 1000 SLC against 8.07 million 1000 SLC in Nicaragua, a difference of 72,350 1000 SLC.
The two have swapped places 1 time across 33 shared years of data; in 1991 it was Congo ahead.
Congo ranks 28th and Nicaragua ranks 29th of 98 countries.
Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Nicaragua | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 970,660 1000 SLC | 550,020 1000 SLC | 420,640 1000 SLC | Congo |
| 2000s | 2.49 million 1000 SLC | 1.88 million 1000 SLC | 609,892 1000 SLC | Congo |
| 2010s | 6.58 million 1000 SLC | 3.91 million 1000 SLC | 2.67 million 1000 SLC | Congo |
| 2020s | 7.36 million 1000 SLC | 7.05 million 1000 SLC | 307,852 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 Nicaragua?
- Congo, at 8.14 million 1000 SLC against 8.07 million 1000 SLC in Nicaragua as of 2024.
- What is the difference in beans, dry — gross production value between Congo and Nicaragua?
- 72,350 1000 SLC, with Congo ahead.
- How many years of comparable data are there for Congo and Nicaragua?
- 33 years are reported by both, from 1991 to 2023.
- How do Congo and Nicaragua rank globally for beans, dry — gross production value?
- Congo ranks 28th and Nicaragua ranks 29th of 98 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.