Eastern Africa vs Romania: Watermelons — Gross Production Value
Eastern Africa
99,983 1000 Int$
in 2024
Romania
114,517 1000 Int$
in 2017
Eastern Africa rank
23rd
Romania rank
23rd
Watermelons — Gross Production Value over time
- Eastern Africa
- Romania
How they compare
Romania currently reports 114,517 1000 Int$ against 99,983 1000 Int$ in Eastern Africa, a difference of 14,534 1000 Int$.
That makes Romania's figure about 1.1 times Eastern Africa's.
Across all 22 years both countries report, Romania has been ahead every year.
Eastern Africa ranks 23rd and Romania ranks 23rd of 27 groups.
Romania has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Eastern Africa | Romania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 8,325 1000 Int$ | 153,005 1000 Int$ | 144,680 1000 Int$ | Romania |
| 2000s | 8,958 1000 Int$ | 132,851 1000 Int$ | 123,892 1000 Int$ | Romania |
| 2010s | 39,440 1000 Int$ | 119,046 1000 Int$ | 79,606 1000 Int$ | Romania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Eastern Africa or Romania?
- Romania, at 114,517 1000 Int$ against 99,983 1000 Int$ in Eastern Africa as of 2017.
- What is the difference in watermelons — gross production value between Eastern Africa and Romania?
- 14,534 1000 Int$, with Romania ahead.
- How many years of comparable data are there for Eastern Africa and Romania?
- 22 years are reported by both, from 1996 to 2017.
- How do Eastern Africa and Romania rank globally for watermelons — gross production value?
- Eastern Africa ranks 23rd and Romania ranks 23rd of 27 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross Production Value (constant 2014-2016 thousand I$). 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.