Mauritius vs Nicaragua: Sugar cane — Gross Production Value
Sugar cane — Gross Production Value over time
- Mauritius
- Nicaragua
How they compare
Nicaragua currently reports 11.21 million 1000 SLC against 6.24 million 1000 SLC in Mauritius, a difference of 4.96 million 1000 SLC.
That makes Nicaragua's figure about 1.8 times Mauritius's.
The two have swapped places 1 time across 33 shared years of data; in 1991 it was Mauritius ahead.
Mauritius ranks 34th and Nicaragua ranks 31st of 64 countries.
Across the 4 decades both report, Mauritius averaged higher in 3 and Nicaragua in 1.
Head to head by decade
| Decade | Mauritius | Nicaragua | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 5.75 million 1000 SLC | 452,151 1000 SLC | 5.30 million 1000 SLC | Mauritius |
| 2000s | 8.14 million 1000 SLC | 1.20 million 1000 SLC | 6.94 million 1000 SLC | Mauritius |
| 2010s | 5.40 million 1000 SLC | 4.35 million 1000 SLC | 1.04 million 1000 SLC | Mauritius |
| 2020s | 5.38 million 1000 SLC | 7.82 million 1000 SLC | 2.44 million 1000 SLC | Nicaragua |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Mauritius or Nicaragua?
- Nicaragua, at 11.21 million 1000 SLC against 6.24 million 1000 SLC in Mauritius as of 2023.
- What is the difference in sugar cane — gross production value between Mauritius and Nicaragua?
- 4.96 million 1000 SLC, with Nicaragua ahead.
- How many years of comparable data are there for Mauritius and Nicaragua?
- 33 years are reported by both, from 1991 to 2023.
- How do Mauritius and Nicaragua rank globally for sugar cane — gross production value?
- Mauritius ranks 34th and Nicaragua ranks 31st 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.