Bangladesh vs Nepal: Lentils, dry — Gross Production Value
Bangladesh
137,970 1000 USD
in 2024
Nepal
162,418 1000 USD
in 2024
Bangladesh rank
9th
Nepal rank
8th
Lentils, dry — Gross Production Value over time
- Bangladesh
- Nepal
How they compare
Nepal currently reports 162,418 1000 USD against 137,970 1000 USD in Bangladesh, a difference of 24,448 1000 USD.
That makes Nepal's figure about 1.2 times Bangladesh's.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 9th and Nepal ranks 8th of 48 countries.
Across the 4 decades both report, Bangladesh averaged higher in 1 and Nepal in 3.
Head to head by decade
| Decade | Bangladesh | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 67,234 1000 USD | 26,542 1000 USD | 40,692 1000 USD | Bangladesh |
| 2000s | 54,114 1000 USD | 99,107 1000 USD | 44,993 1000 USD | Nepal |
| 2010s | 109,688 1000 USD | 196,770 1000 USD | 87,082 1000 USD | Nepal |
| 2020s | 158,287 1000 USD | 182,335 1000 USD | 24,048 1000 USD | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher lentils, dry — gross production value, Bangladesh or Nepal?
- Nepal, at 162,418 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 Nepal?
- 24,448 1000 USD, with Nepal ahead.
- How many years of comparable data are there for Bangladesh and Nepal?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Nepal rank globally for lentils, dry — gross production value?
- Bangladesh ranks 9th and Nepal ranks 8th 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.