Guinea vs Philippines: Non Food — Gross Production Value
Non Food — Gross Production Value over time
- Guinea
- Philippines
How they compare
Guinea currently reports 53.48 million 1000 SLC against 26.72 million 1000 SLC in Philippines, a difference of 26.76 million 1000 SLC.
That makes Guinea's figure about 2.0 times Philippines's.
The two have swapped places 3 times across 34 shared years of data; in 1991 it was Philippines ahead.
Guinea ranks 15th and Philippines ranks 18th of 120 countries.
Across the 4 decades both report, Guinea averaged higher in 3 and Philippines in 1.
Head to head by decade
| Decade | Guinea | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 5.21 million 1000 SLC | 5.46 million 1000 SLC | 255,058 1000 SLC | Philippines |
| 2000s | 21.27 million 1000 SLC | 13.23 million 1000 SLC | 8.03 million 1000 SLC | Guinea |
| 2010s | 39.80 million 1000 SLC | 25.43 million 1000 SLC | 14.37 million 1000 SLC | Guinea |
| 2020s | 51.09 million 1000 SLC | 24.64 million 1000 SLC | 26.44 million 1000 SLC | Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production value, Guinea or Philippines?
- Guinea, at 53.48 million 1000 SLC against 26.72 million 1000 SLC in Philippines as of 2024.
- What is the difference in non food — gross production value between Guinea and Philippines?
- 26.76 million 1000 SLC, with Guinea ahead.
- How many years of comparable data are there for Guinea and Philippines?
- 34 years are reported by both, from 1991 to 2024.
- How do Guinea and Philippines rank globally for non food — gross production value?
- Guinea ranks 15th and Philippines ranks 18th of 120 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Non Food — 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.