Bangladesh vs Nicaragua: Oranges — Gross Production Value
Bangladesh
53,096 1000 SLC
in 2024
Nicaragua
58,961 1000 SLC
in 2023
Bangladesh rank
61st
Nicaragua rank
60th
Oranges — Gross Production Value over time
- Bangladesh
- Nicaragua
How they compare
Nicaragua currently reports 58,961 1000 SLC against 53,096 1000 SLC in Bangladesh, a difference of 5,865 1000 SLC.
That makes Nicaragua's figure about 1.1 times Bangladesh's.
The two have swapped places 5 times across 33 shared years of data; in 1991 it was Bangladesh ahead.
Bangladesh ranks 61st and Nicaragua ranks 60th of 90 countries.
Across the 4 decades both report, Bangladesh averaged higher in 1 and Nicaragua in 3.
Head to head by decade
| Decade | Bangladesh | Nicaragua | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 17,083 1000 SLC | 20,306 1000 SLC | 3,223 1000 SLC | Nicaragua |
| 2000s | 32,947 1000 SLC | 20,084 1000 SLC | 12,864 1000 SLC | Bangladesh |
| 2010s | 34,476 1000 SLC | 45,110 1000 SLC | 10,633 1000 SLC | Nicaragua |
| 2020s | 45,524 1000 SLC | 60,402 1000 SLC | 14,879 1000 SLC | Nicaragua |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross production value, Bangladesh or Nicaragua?
- Nicaragua, at 58,961 1000 SLC against 53,096 1000 SLC in Bangladesh as of 2023.
- What is the difference in oranges — gross production value between Bangladesh and Nicaragua?
- 5,865 1000 SLC, with Nicaragua ahead.
- How many years of comparable data are there for Bangladesh and Nicaragua?
- 33 years are reported by both, from 1991 to 2023.
- How do Bangladesh and Nicaragua rank globally for oranges — gross production value?
- Bangladesh ranks 61st and Nicaragua ranks 60th of 90 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — 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.