Indonesia vs Philippines: Sugar cane β Gross Production Value
Sugar cane β Gross Production Value over time
- Indonesia
- Philippines
How they compare
Indonesia currently reports 1.44 million 1000 USD against 1.21 million 1000 USD in Philippines, a difference of 229,980 1000 USD.
That makes Indonesia's figure about 1.2 times Philippines's.
The two have swapped places 4 times across 34 shared years of data; in 1991 it was Indonesia ahead.
Indonesia ranks 11th and Philippines ranks 12th of 63 countries.
Across the 4 decades both report, Indonesia averaged higher in 1 and Philippines in 3.
Head to head by decade
| Decade | Indonesia | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 838,395 1000 USD | 830,462 1000 USD | 7,933 1000 USD | Indonesia |
| 2000s | 594,988 1000 USD | 798,582 1000 USD | 203,594 1000 USD | Philippines |
| 2010s | 1.27 million 1000 USD | 1.53 million 1000 USD | 265,393 1000 USD | Philippines |
| 2020s | 1.41 million 1000 USD | 1.46 million 1000 USD | 44,116 1000 USD | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar cane β gross production value, Indonesia or Philippines?
- Indonesia, at 1.44 million 1000 USD against 1.21 million 1000 USD in Philippines as of 2024.
- What is the difference in sugar cane β gross production value between Indonesia and Philippines?
- 229,980 1000 USD, with Indonesia ahead.
- How many years of comparable data are there for Indonesia and Philippines?
- 34 years are reported by both, from 1991 to 2024.
- How do Indonesia and Philippines rank globally for sugar cane β gross production value?
- Indonesia ranks 11th and Philippines ranks 12th of 63 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar cane β Gross Production Value (current thousand US$). 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.