Philippines vs Thailand: Watermelons β Gross Production Value
Watermelons β Gross Production Value over time
- Philippines
- Thailand
How they compare
Philippines currently reports 2.64 million 1000 SLC against 2.38 million 1000 SLC in Thailand, a difference of 256,320 1000 SLC.
That makes Philippines's figure about 1.1 times Thailand's.
The two have swapped places 1 time across 34 shared years of data; in 1991 it was Thailand ahead.
Philippines ranks 37th and Thailand ranks 40th of 99 countries.
Across the 4 decades both report, Philippines averaged higher in 1 and Thailand in 3.
Head to head by decade
| Decade | Philippines | Thailand | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 504,364 1000 SLC | 1.08 million 1000 SLC | 575,475 1000 SLC | Thailand |
| 2000s | 811,771 1000 SLC | 2.63 million 1000 SLC | 1.82 million 1000 SLC | Thailand |
| 2010s | 1.60 million 1000 SLC | 2.45 million 1000 SLC | 845,619 1000 SLC | Thailand |
| 2020s | 2.47 million 1000 SLC | 2.27 million 1000 SLC | 199,836 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons β gross production value, Philippines or Thailand?
- Philippines, at 2.64 million 1000 SLC against 2.38 million 1000 SLC in Thailand as of 2024.
- What is the difference in watermelons β gross production value between Philippines and Thailand?
- 256,320 1000 SLC, with Philippines ahead.
- How many years of comparable data are there for Philippines and Thailand?
- 34 years are reported by both, from 1991 to 2024.
- How do Philippines and Thailand rank globally for watermelons β gross production value?
- Philippines ranks 37th and Thailand ranks 40th of 99 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons β 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.