Bangladesh vs Croatia: Oranges — Gross Production Value
Bangladesh
459 1000 USD
in 2024
Croatia
381 1000 USD
in 2024
Bangladesh rank
80th
Croatia rank
82nd
Oranges — Gross Production Value over time
- Bangladesh
- Croatia
How they compare
Bangladesh currently reports 459 1000 USD against 381 1000 USD in Croatia, a difference of 78 1000 USD.
That makes Bangladesh's figure about 1.2 times Croatia's.
The two have swapped places 4 times across 33 shared years of data; in 1992 it was Bangladesh ahead.
Bangladesh ranks 80th and Croatia ranks 82nd of 89 countries.
Bangladesh has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Bangladesh | Croatia | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 392 1000 USD | 309.75 1000 USD | 82.25 1000 USD | Bangladesh |
| 2000s | 537.2 1000 USD | 367.8 1000 USD | 169.4 1000 USD | Bangladesh |
| 2010s | 437.7 1000 USD | 164.1 1000 USD | 273.6 1000 USD | Bangladesh |
| 2020s | 486.6 1000 USD | 344.4 1000 USD | 142.2 1000 USD | Bangladesh |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross production value, Bangladesh or Croatia?
- Bangladesh, at 459 1000 USD against 381 1000 USD in Croatia as of 2024.
- What is the difference in oranges — gross production value between Bangladesh and Croatia?
- 78 1000 USD, with Bangladesh ahead.
- How many years of comparable data are there for Bangladesh and Croatia?
- 33 years are reported by both, from 1992 to 2024.
- How do Bangladesh and Croatia rank globally for oranges — gross production value?
- Bangladesh ranks 80th and Croatia ranks 82nd of 89 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — 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.