Madagascar vs Rwanda: Beans, dry — Gross Production Value
Beans, dry — Gross Production Value over time
- Madagascar
- Rwanda
How they compare
Rwanda currently reports 400.96 million 1000 SLC against 154.49 million 1000 SLC in Madagascar, a difference of 246.47 million 1000 SLC.
That makes Rwanda's figure about 2.6 times Madagascar's.
The two have swapped places 3 times across 34 shared years of data; in 1991 it was Madagascar ahead.
Madagascar ranks 13th and Rwanda ranks 11th of 107 countries.
Across the 4 decades both report, Madagascar averaged higher in 2 and Rwanda in 2.
Head to head by decade
| Decade | Madagascar | Rwanda | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 33.13 million 1000 SLC | 13.74 million 1000 SLC | 19.39 million 1000 SLC | Madagascar |
| 2000s | 70.16 million 1000 SLC | 48.55 million 1000 SLC | 21.61 million 1000 SLC | Madagascar |
| 2010s | 125.69 million 1000 SLC | 166.42 million 1000 SLC | 40.73 million 1000 SLC | Rwanda |
| 2020s | 145.95 million 1000 SLC | 358.76 million 1000 SLC | 212.81 million 1000 SLC | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Madagascar or Rwanda?
- Rwanda, at 400.96 million 1000 SLC against 154.49 million 1000 SLC in Madagascar as of 2024.
- What is the difference in beans, dry — gross production value between Madagascar and Rwanda?
- 246.47 million 1000 SLC, with Rwanda ahead.
- How many years of comparable data are there for Madagascar and Rwanda?
- 34 years are reported by both, from 1991 to 2024.
- How do Madagascar and Rwanda rank globally for beans, dry — gross production value?
- Madagascar ranks 13th and Rwanda ranks 11th 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.