Congo vs Mexico: Sugar cane — Gross Production Value
Congo
60.31 million 1000 SLC
in 2024
Mexico
50.59 million 1000 SLC
in 2024
Congo rank
20th
Mexico rank
22nd
Sugar cane — Gross Production Value over time
- Congo
- Mexico
How they compare
Congo currently reports 60.31 million 1000 SLC against 50.59 million 1000 SLC in Mexico, a difference of 9.72 million 1000 SLC.
That makes Congo's figure about 1.2 times Mexico's.
The two have swapped places 2 times across 34 shared years of data; in 1991 it was Congo ahead.
Congo ranks 20th and Mexico ranks 22nd of 71 countries.
Congo has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Congo | Mexico | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 19.79 million 1000 SLC | 6.65 million 1000 SLC | 13.14 million 1000 SLC | Congo |
| 2000s | 40.71 million 1000 SLC | 16.66 million 1000 SLC | 24.06 million 1000 SLC | Congo |
| 2010s | 60.25 million 1000 SLC | 34.00 million 1000 SLC | 26.26 million 1000 SLC | Congo |
| 2020s | 60.85 million 1000 SLC | 49.01 million 1000 SLC | 11.85 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 Mexico?
- Congo, at 60.31 million 1000 SLC against 50.59 million 1000 SLC in Mexico as of 2024.
- What is the difference in sugar cane — gross production value between Congo and Mexico?
- 9.72 million 1000 SLC, with Congo ahead.
- How many years of comparable data are there for Congo and Mexico?
- 34 years are reported by both, from 1991 to 2024.
- How do Congo and Mexico rank globally for sugar cane — gross production value?
- Congo ranks 20th and Mexico ranks 22nd 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.