Nicaragua vs Sri Lanka: Sugar cane — Gross Production Value
Sugar cane — Gross Production Value over time
- Nicaragua
- Sri Lanka
How they compare
Nicaragua currently reports 11.21 million 1000 SLC against 7.11 million 1000 SLC in Sri Lanka, a difference of 4.09 million 1000 SLC.
That makes Nicaragua's figure about 1.6 times Sri Lanka's.
The two have swapped places 7 times across 33 shared years of data; in 1991 it was Sri Lanka ahead.
Nicaragua ranks 31st and Sri Lanka ranks 33rd of 64 countries.
Across the 4 decades both report, Nicaragua averaged higher in 2 and Sri Lanka in 2.
Head to head by decade
| Decade | Nicaragua | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 452,151 1000 SLC | 926,298 1000 SLC | 474,147 1000 SLC | Sri Lanka |
| 2000s | 1.20 million 1000 SLC | 1.43 million 1000 SLC | 231,809 1000 SLC | Sri Lanka |
| 2010s | 4.35 million 1000 SLC | 3.22 million 1000 SLC | 1.14 million 1000 SLC | Nicaragua |
| 2020s | 7.82 million 1000 SLC | 5.91 million 1000 SLC | 1.92 million 1000 SLC | Nicaragua |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Nicaragua or Sri Lanka?
- Nicaragua, at 11.21 million 1000 SLC against 7.11 million 1000 SLC in Sri Lanka as of 2023.
- What is the difference in sugar cane — gross production value between Nicaragua and Sri Lanka?
- 4.09 million 1000 SLC, with Nicaragua ahead.
- How many years of comparable data are there for Nicaragua and Sri Lanka?
- 33 years are reported by both, from 1991 to 2023.
- How do Nicaragua and Sri Lanka rank globally for sugar cane — gross production value?
- Nicaragua ranks 31st and Sri Lanka ranks 33rd of 64 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane — 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.