Madagascar vs Myanmar: Lentils, dry — Gross Production Value
Lentils, dry — Gross Production Value over time
- Madagascar
- Myanmar
How they compare
Myanmar currently reports 1.44 million 1000 SLC against 1.04 million 1000 SLC in Madagascar, a difference of 401,040 1000 SLC.
That makes Myanmar's figure about 1.4 times Madagascar's.
The two have swapped places 5 times across 34 shared years of data; in 1991 it was Madagascar ahead.
Madagascar ranks 14th and Myanmar ranks 12th of 47 countries.
Across the 4 decades both report, Madagascar averaged higher in 3 and Myanmar in 1.
Head to head by decade
| Decade | Madagascar | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 388,153 1000 SLC | 57,535 1000 SLC | 330,618 1000 SLC | Madagascar |
| 2000s | 629,214 1000 SLC | 474,458 1000 SLC | 154,756 1000 SLC | Madagascar |
| 2010s | 879,516 1000 SLC | 847,951 1000 SLC | 31,565 1000 SLC | Madagascar |
| 2020s | 1.01 million 1000 SLC | 1.27 million 1000 SLC | 260,784 1000 SLC | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher lentils, dry — gross production value, Madagascar or Myanmar?
- Myanmar, at 1.44 million 1000 SLC against 1.04 million 1000 SLC in Madagascar as of 2024.
- What is the difference in lentils, dry — gross production value between Madagascar and Myanmar?
- 401,040 1000 SLC, with Myanmar ahead.
- How many years of comparable data are there for Madagascar and Myanmar?
- 34 years are reported by both, from 1991 to 2024.
- How do Madagascar and Myanmar rank globally for lentils, dry — gross production value?
- Madagascar ranks 14th and Myanmar ranks 12th of 47 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Lentils, 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.