Bangladesh vs Eastern Asia: Lentils, dry — Gross Production Value
Lentils, dry — Gross Production Value over time
- Bangladesh
- Eastern Asia
How they compare
Eastern Asia currently reports 299,029 1000 USD against 137,970 1000 USD in Bangladesh, a difference of 161,059 1000 USD.
That makes Eastern Asia's figure about 2.2 times Bangladesh's.
The two have swapped places 7 times across 34 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 9th and Eastern Asia ranks 9th of 48 countries.
Across the 4 decades both report, Bangladesh averaged higher in 1 and Eastern Asia in 3.
Head to head by decade
| Decade | Bangladesh | Eastern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 67,234 1000 USD | 63,564 1000 USD | 3,671 1000 USD | Bangladesh |
| 2000s | 54,114 1000 USD | 114,415 1000 USD | 60,301 1000 USD | Eastern Asia |
| 2010s | 109,688 1000 USD | 279,267 1000 USD | 169,579 1000 USD | Eastern Asia |
| 2020s | 158,287 1000 USD | 316,112 1000 USD | 157,825 1000 USD | Eastern Asia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher lentils, dry — gross production value, Bangladesh or Eastern Asia?
- Eastern Asia, at 299,029 1000 USD against 137,970 1000 USD in Bangladesh as of 2024.
- What is the difference in lentils, dry — gross production value between Bangladesh and Eastern Asia?
- 161,059 1000 USD, with Eastern Asia ahead.
- How many years of comparable data are there for Bangladesh and Eastern Asia?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Eastern Asia rank globally for lentils, dry — gross production value?
- Bangladesh ranks 9th and Eastern Asia ranks 9th of 48 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Lentils, dry — Gross Production Value (current thousand US$). 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.