Montenegro vs Sri Lanka: Oranges — Gross Production Value
Montenegro
3,149 1000 Int$
in 2024
Sri Lanka
2,410 1000 Int$
in 2024
Montenegro rank
74th
Sri Lanka rank
77th
Oranges — Gross Production Value over time
- Montenegro
- Sri Lanka
How they compare
Montenegro currently reports 3,149 1000 Int$ against 2,410 1000 Int$ in Sri Lanka, a difference of 739 1000 Int$.
That makes Montenegro's figure about 1.3 times Sri Lanka's.
The two have swapped places 2 times across 19 shared years of data; in 2006 it was Montenegro ahead.
Montenegro ranks 74th and Sri Lanka ranks 77th of 117 countries.
Montenegro has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Montenegro | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 2,182 1000 Int$ | 2,024 1000 Int$ | 157.75 1000 Int$ | Montenegro |
| 2010s | 2,911 1000 Int$ | 2,455 1000 Int$ | 455.6 1000 Int$ | Montenegro |
| 2020s | 3,152 1000 Int$ | 2,734 1000 Int$ | 417.8 1000 Int$ | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross production value, Montenegro or Sri Lanka?
- Montenegro, at 3,149 1000 Int$ against 2,410 1000 Int$ in Sri Lanka as of 2024.
- What is the difference in oranges — gross production value between Montenegro and Sri Lanka?
- 739 1000 Int$, with Montenegro ahead.
- How many years of comparable data are there for Montenegro and Sri Lanka?
- 19 years are reported by both, from 2006 to 2024.
- How do Montenegro and Sri Lanka rank globally for oranges — gross production value?
- Montenegro ranks 74th and Sri Lanka ranks 77th of 117 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — Gross Production Value (constant 2014-2016 thousand I$). 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.