Madagascar vs Papua New Guinea: Vanilla, raw — Gross Production Value
Vanilla, raw — Gross Production Value over time
- Madagascar
- Papua New Guinea
How they compare
Madagascar currently reports 6,446 1000 Int$ against 1,028 1000 Int$ in Papua New Guinea, a difference of 5,418 1000 Int$.
That makes Madagascar's figure about 6.3 times Papua New Guinea's.
The two have swapped places 2 times across 24 shared years of data; in 2001 it was Madagascar ahead.
Madagascar ranks 1st and Papua New Guinea ranks 4th of 17 countries.
Madagascar has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Madagascar | Papua New Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 3,794 1000 Int$ | 1,110 1000 Int$ | 2,684 1000 Int$ | Madagascar |
| 2010s | 6,176 1000 Int$ | 960 1000 Int$ | 5,216 1000 Int$ | Madagascar |
| 2020s | 6,468 1000 Int$ | 1,039 1000 Int$ | 5,429 1000 Int$ | Madagascar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher vanilla, raw — gross production value, Madagascar or Papua New Guinea?
- Madagascar, at 6,446 1000 Int$ against 1,028 1000 Int$ in Papua New Guinea as of 2024.
- What is the difference in vanilla, raw — gross production value between Madagascar and Papua New Guinea?
- 5,418 1000 Int$, with Madagascar ahead.
- How many years of comparable data are there for Madagascar and Papua New Guinea?
- 24 years are reported by both, from 2001 to 2024.
- How do Madagascar and Papua New Guinea rank globally for vanilla, raw — gross production value?
- Madagascar ranks 1st and Papua New Guinea ranks 4th of 17 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Vanilla, raw — Gross Production Value (constant 2014-2016 thousand I$). 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.