Congo vs Kenya: Sugar cane — Gross Production Value
Congo
60.31 million 1000 SLC
in 2024
Kenya
49.55 million 1000 SLC
in 2024
Congo rank
20th
Kenya rank
23rd
Sugar cane — Gross Production Value over time
- Congo
- Kenya
How they compare
Congo currently reports 60.31 million 1000 SLC against 49.55 million 1000 SLC in Kenya, a difference of 10.76 million 1000 SLC.
That makes Congo's figure about 1.2 times Kenya's.
Across all 34 years both countries report, Congo has been ahead every year.
Congo ranks 20th and Kenya ranks 23rd of 71 countries.
Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Kenya | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 19.79 million 1000 SLC | 5.72 million 1000 SLC | 14.07 million 1000 SLC | Congo |
| 2000s | 40.71 million 1000 SLC | 9.86 million 1000 SLC | 30.85 million 1000 SLC | Congo |
| 2010s | 60.25 million 1000 SLC | 20.35 million 1000 SLC | 39.91 million 1000 SLC | Congo |
| 2020s | 60.85 million 1000 SLC | 34.82 million 1000 SLC | 26.03 million 1000 SLC | Congo |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Congo or Kenya?
- Congo, at 60.31 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 Congo and Kenya?
- 10.76 million 1000 SLC, with Congo ahead.
- How many years of comparable data are there for Congo and Kenya?
- 34 years are reported by both, from 1991 to 2024.
- How do Congo and Kenya rank globally for sugar cane — gross production value?
- Congo ranks 20th and Kenya ranks 23rd of 71 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.