Chad vs Madagascar: Beans, dry — Gross Production Value
Chad
123.54 million 1000 SLC
in 2024
Madagascar
154.49 million 1000 SLC
in 2024
Chad rank
14th
Madagascar rank
13th
Beans, dry — Gross Production Value over time
- Chad
- Madagascar
How they compare
Madagascar currently reports 154.49 million 1000 SLC against 123.54 million 1000 SLC in Chad, a difference of 30.95 million 1000 SLC.
That makes Madagascar's figure about 1.3 times Chad's.
Across all 18 years both countries report, Madagascar has been ahead every year.
Chad ranks 14th and Madagascar ranks 13th of 107 countries.
Madagascar has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Chad | Madagascar | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 43.32 million 1000 SLC | 102.45 million 1000 SLC | 59.14 million 1000 SLC | Madagascar |
| 2010s | 60.89 million 1000 SLC | 125.69 million 1000 SLC | 64.80 million 1000 SLC | Madagascar |
| 2020s | 78.52 million 1000 SLC | 145.95 million 1000 SLC | 67.42 million 1000 SLC | Madagascar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Chad or Madagascar?
- Madagascar, at 154.49 million 1000 SLC against 123.54 million 1000 SLC in Chad as of 2024.
- What is the difference in beans, dry — gross production value between Chad and Madagascar?
- 30.95 million 1000 SLC, with Madagascar ahead.
- How many years of comparable data are there for Chad and Madagascar?
- 18 years are reported by both, from 2007 to 2024.
- How do Chad and Madagascar rank globally for beans, dry — gross production value?
- Chad ranks 14th and Madagascar ranks 13th 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.