Ecuador vs Nepal: Seed cotton, unginned — Gross Production Value
Ecuador
2,546 1000 SLC
in 2024
Nepal
4,648 1000 SLC
in 2024
Ecuador rank
56th
Nepal rank
53rd
Seed cotton, unginned — Gross Production Value over time
- Ecuador
- Nepal
How they compare
Nepal currently reports 4,648 1000 SLC against 2,546 1000 SLC in Ecuador, a difference of 2,102 1000 SLC.
That makes Nepal's figure about 1.8 times Ecuador's.
The two have swapped places 4 times across 34 shared years of data; in 1991 it was Nepal ahead.
Ecuador ranks 56th and Nepal ranks 53rd of 62 countries.
Nepal has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Ecuador | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,109 1000 SLC | 22,686 1000 SLC | 21,577 1000 SLC | Nepal |
| 2000s | 1,877 1000 SLC | 2,610 1000 SLC | 733.6 1000 SLC | Nepal |
| 2010s | 2,936 1000 SLC | 3,258 1000 SLC | 321.9 1000 SLC | Nepal |
| 2020s | 2,599 1000 SLC | 4,425 1000 SLC | 1,826 1000 SLC | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher seed cotton, unginned — gross production value, Ecuador or Nepal?
- Nepal, at 4,648 1000 SLC against 2,546 1000 SLC in Ecuador as of 2024.
- What is the difference in seed cotton, unginned — gross production value between Ecuador and Nepal?
- 2,102 1000 SLC, with Nepal ahead.
- How many years of comparable data are there for Ecuador and Nepal?
- 34 years are reported by both, from 1991 to 2024.
- How do Ecuador and Nepal rank globally for seed cotton, unginned — gross production value?
- Ecuador ranks 56th and Nepal ranks 53rd of 62 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Seed cotton, unginned — 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.