Madagascar vs Serbia and Montenegro: Peas, dry — Gross Production Value
Peas, dry — Gross Production Value over time
- Madagascar
- Serbia and Montenegro
How they compare
Madagascar currently reports 1.23 million 1000 SLC against 720,411 1000 SLC in Serbia and Montenegro, a difference of 512,499 1000 SLC.
That makes Madagascar's figure about 1.7 times Serbia and Montenegro's.
The two have swapped places 4 times across 12 shared years of data; in 1994 it was Madagascar ahead.
Madagascar ranks 20th and Serbia and Montenegro ranks 23rd of 79 countries.
Madagascar has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Madagascar | Serbia and Montenegro | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 365,833 1000 SLC | 33,298 1000 SLC | 332,536 1000 SLC | Madagascar |
| 2000s | 503,827 1000 SLC | 435,542 1000 SLC | 68,285 1000 SLC | Madagascar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher peas, dry — gross production value, Madagascar or Serbia and Montenegro?
- Madagascar, at 1.23 million 1000 SLC against 720,411 1000 SLC in Serbia and Montenegro as of 2024.
- What is the difference in peas, dry — gross production value between Madagascar and Serbia and Montenegro?
- 512,499 1000 SLC, with Madagascar ahead.
- How many years of comparable data are there for Madagascar and Serbia and Montenegro?
- 12 years are reported by both, from 1994 to 2005.
- How do Madagascar and Serbia and Montenegro rank globally for peas, dry — gross production value?
- Madagascar ranks 20th and Serbia and Montenegro ranks 23rd of 79 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Peas, 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.