Montenegro vs Seychelles: Tea leaves — Gross Production Value
Montenegro
193 1000 Int$
in 2024
Seychelles
14 1000 Int$
in 2022
Montenegro rank
42nd
Seychelles rank
45th
Tea leaves — Gross Production Value over time
- Montenegro
- Seychelles
How they compare
Montenegro currently reports 193 1000 Int$ against 14 1000 Int$ in Seychelles, a difference of 179 1000 Int$.
That makes Montenegro's figure about 13.8 times Seychelles's.
The two have swapped places 1 time across 17 shared years of data; in 2006 it was Seychelles ahead.
Montenegro ranks 42nd and Seychelles ranks 45th of 45 countries.
Across the 3 decades both report, Montenegro averaged higher in 2 and Seychelles in 1.
Head to head by decade
| Decade | Montenegro | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 193 1000 Int$ | 294.75 1000 Int$ | 101.75 1000 Int$ | Seychelles |
| 2010s | 193 1000 Int$ | 42.9 1000 Int$ | 150.1 1000 Int$ | Montenegro |
| 2020s | 193 1000 Int$ | 13 1000 Int$ | 180 1000 Int$ | Montenegro |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher tea leaves — gross production value, Montenegro or Seychelles?
- Montenegro, at 193 1000 Int$ against 14 1000 Int$ in Seychelles as of 2024.
- What is the difference in tea leaves — gross production value between Montenegro and Seychelles?
- 179 1000 Int$, with Montenegro ahead.
- How many years of comparable data are there for Montenegro and Seychelles?
- 17 years are reported by both, from 2006 to 2022.
- How do Montenegro and Seychelles rank globally for tea leaves — gross production value?
- Montenegro ranks 42nd and Seychelles ranks 45th of 45 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Tea leaves — Gross Production Value (constant 2014-2016 thousand I$). 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.