Kenya vs Niger: Sugar cane — Gross Production Value
Kenya
49.55 million 1000 SLC
in 2024
Niger
53.05 million 1000 SLC
in 2024
Kenya rank
19th
Niger rank
17th
Sugar cane — Gross Production Value over time
- Kenya
- Niger
How they compare
Niger currently reports 53.05 million 1000 SLC against 49.55 million 1000 SLC in Kenya, a difference of 3.50 million 1000 SLC.
That makes Niger's figure about 1.1 times Kenya's.
The two have swapped places 7 times across 34 shared years of data; in 1991 it was Kenya ahead.
Kenya ranks 19th and Niger ranks 17th of 64 countries.
Across the 4 decades both report, Kenya averaged higher in 1 and Niger in 3.
Head to head by decade
| Decade | Kenya | Niger | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 5.72 million 1000 SLC | 4.44 million 1000 SLC | 1.27 million 1000 SLC | Kenya |
| 2000s | 9.86 million 1000 SLC | 13.06 million 1000 SLC | 3.20 million 1000 SLC | Niger |
| 2010s | 20.35 million 1000 SLC | 21.05 million 1000 SLC | 701,220 1000 SLC | Niger |
| 2020s | 34.82 million 1000 SLC | 57.75 million 1000 SLC | 22.93 million 1000 SLC | Niger |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Kenya or Niger?
- Niger, at 53.05 million 1000 SLC against 49.55 million 1000 SLC in Kenya as of 2024.
- What is the difference in sugar cane — gross production value between Kenya and Niger?
- 3.50 million 1000 SLC, with Niger ahead.
- How many years of comparable data are there for Kenya and Niger?
- 34 years are reported by both, from 1991 to 2024.
- How do Kenya and Niger rank globally for sugar cane — gross production value?
- Kenya ranks 19th and Niger ranks 17th 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.