Guyana vs Philippines: Taro — Gross Production Value
Guyana
873,120 1000 SLC
in 2024
Philippines
1.44 million 1000 SLC
in 2024
Guyana rank
15th
Philippines rank
14th
Taro — Gross Production Value over time
- Guyana
- Philippines
How they compare
Philippines currently reports 1.44 million 1000 SLC against 873,120 1000 SLC in Guyana, a difference of 563,320 1000 SLC.
That makes Philippines's figure about 1.6 times Guyana's.
Across all 25 years both countries report, Philippines has been ahead every year.
Guyana ranks 15th and Philippines ranks 14th of 26 countries.
Philippines has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Guyana | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 269,794 1000 SLC | 1.63 million 1000 SLC | 1.36 million 1000 SLC | Philippines |
| 2010s | 451,744 1000 SLC | 1.68 million 1000 SLC | 1.23 million 1000 SLC | Philippines |
| 2020s | 790,343 1000 SLC | 1.63 million 1000 SLC | 840,125 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher taro — gross production value, Guyana or Philippines?
- Philippines, at 1.44 million 1000 SLC against 873,120 1000 SLC in Guyana as of 2024.
- What is the difference in taro — gross production value between Guyana and Philippines?
- 563,320 1000 SLC, with Philippines ahead.
- How many years of comparable data are there for Guyana and Philippines?
- 25 years are reported by both, from 2000 to 2024.
- How do Guyana and Philippines rank globally for taro — gross production value?
- Guyana ranks 15th and Philippines ranks 14th of 26 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Taro — Gross Production Value (constant 2014-2016 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.