Congo vs Philippines: Sugar cane — Gross Production Value
Sugar cane — Gross Production Value over time
- Congo
- Philippines
How they compare
Philippines currently reports 69.21 million 1000 SLC against 60.31 million 1000 SLC in Congo, a difference of 8.89 million 1000 SLC.
That makes Philippines's figure about 1.1 times Congo's.
The two have swapped places 10 times across 34 shared years of data; in 1991 it was Philippines ahead.
Congo ranks 20th and Philippines ranks 18th of 71 countries.
Across the 4 decades both report, Congo averaged higher in 1 and Philippines in 3.
Head to head by decade
| Decade | Congo | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 19.79 million 1000 SLC | 24.81 million 1000 SLC | 5.02 million 1000 SLC | Philippines |
| 2000s | 40.71 million 1000 SLC | 39.58 million 1000 SLC | 1.14 million 1000 SLC | Congo |
| 2010s | 60.25 million 1000 SLC | 71.29 million 1000 SLC | 11.04 million 1000 SLC | Philippines |
| 2020s | 60.85 million 1000 SLC | 77.13 million 1000 SLC | 16.28 million 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane — gross production value, Congo or Philippines?
- Philippines, at 69.21 million 1000 SLC against 60.31 million 1000 SLC in Congo as of 2024.
- What is the difference in sugar cane — gross production value between Congo and Philippines?
- 8.89 million 1000 SLC, with Philippines ahead.
- How many years of comparable data are there for Congo and Philippines?
- 34 years are reported by both, from 1991 to 2024.
- How do Congo and Philippines rank globally for sugar cane — gross production value?
- Congo ranks 20th and Philippines ranks 18th 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.