Bangladesh vs Jordan: Oranges — Gross Production Value
Bangladesh
53,096 1000 SLC
in 2024
Jordan
25,021 1000 SLC
in 2024
Bangladesh rank
61st
Jordan rank
63rd
Oranges — Gross Production Value over time
- Bangladesh
- Jordan
How they compare
Bangladesh currently reports 53,096 1000 SLC against 25,021 1000 SLC in Jordan, a difference of 28,075 1000 SLC.
That makes Bangladesh's figure about 2.1 times Jordan's.
Across all 34 years both countries report, Bangladesh has been ahead every year.
Bangladesh ranks 61st and Jordan ranks 63rd of 90 countries.
Bangladesh has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bangladesh | Jordan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 17,083 1000 SLC | 5,873 1000 SLC | 11,210 1000 SLC | Bangladesh |
| 2000s | 32,947 1000 SLC | 10,074 1000 SLC | 22,873 1000 SLC | Bangladesh |
| 2010s | 34,476 1000 SLC | 16,819 1000 SLC | 17,658 1000 SLC | Bangladesh |
| 2020s | 47,038 1000 SLC | 25,129 1000 SLC | 21,909 1000 SLC | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross production value, Bangladesh or Jordan?
- Bangladesh, at 53,096 1000 SLC against 25,021 1000 SLC in Jordan as of 2024.
- What is the difference in oranges — gross production value between Bangladesh and Jordan?
- 28,075 1000 SLC, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Jordan?
- 34 years are reported by both, from 1991 to 2024.
- How do Bangladesh and Jordan rank globally for oranges — gross production value?
- Bangladesh ranks 61st and Jordan ranks 63rd 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.