Brazil vs Madagascar: Non Food — Gross Production Value
Non Food — Gross Production Value over time
- Brazil
- Madagascar
How they compare
Brazil currently reports 14.32 million 1000 SLC against 8.88 million 1000 SLC in Madagascar, a difference of 5.45 million 1000 SLC.
That makes Brazil's figure about 1.6 times Madagascar's.
The two have swapped places 5 times across 34 shared years of data; in 1991 it was Madagascar ahead.
Brazil ranks 24th and Madagascar ranks 27th of 120 countries.
Across the 4 decades both report, Brazil averaged higher in 1 and Madagascar in 3.
Head to head by decade
| Decade | Brazil | Madagascar | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 668,539 1000 SLC | 6.72 million 1000 SLC | 6.05 million 1000 SLC | Madagascar |
| 2000s | 3.72 million 1000 SLC | 7.88 million 1000 SLC | 4.16 million 1000 SLC | Madagascar |
| 2010s | 7.10 million 1000 SLC | 8.03 million 1000 SLC | 933,309 1000 SLC | Madagascar |
| 2020s | 10.67 million 1000 SLC | 8.74 million 1000 SLC | 1.93 million 1000 SLC | Brazil |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production value, Brazil or Madagascar?
- Brazil, at 14.32 million 1000 SLC against 8.88 million 1000 SLC in Madagascar as of 2024.
- What is the difference in non food — gross production value between Brazil and Madagascar?
- 5.45 million 1000 SLC, with Brazil ahead.
- How many years of comparable data are there for Brazil and Madagascar?
- 34 years are reported by both, from 1991 to 2024.
- How do Brazil and Madagascar rank globally for non food — gross production value?
- Brazil ranks 24th and Madagascar ranks 27th 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.