Burundi vs Philippines: Non Food — Gross Production Value
Non Food — Gross Production Value over time
- Burundi
- Philippines
How they compare
Philippines currently reports 26.72 million 1000 SLC against 21.81 million 1000 SLC in Burundi, a difference of 4.91 million 1000 SLC.
That makes Philippines's figure about 1.2 times Burundi's.
The two have swapped places 2 times across 34 shared years of data; in 1991 it was Philippines ahead.
Burundi ranks 20th and Philippines ranks 18th of 120 countries.
Philippines has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Burundi | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 208,209 1000 SLC | 5.46 million 1000 SLC | 5.26 million 1000 SLC | Philippines |
| 2000s | 4.79 million 1000 SLC | 13.23 million 1000 SLC | 8.45 million 1000 SLC | Philippines |
| 2010s | 20.10 million 1000 SLC | 25.43 million 1000 SLC | 5.33 million 1000 SLC | Philippines |
| 2020s | 22.77 million 1000 SLC | 24.64 million 1000 SLC | 1.87 million 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher non food — gross production value, Burundi or Philippines?
- Philippines, at 26.72 million 1000 SLC against 21.81 million 1000 SLC in Burundi as of 2024.
- What is the difference in non food — gross production value between Burundi and Philippines?
- 4.91 million 1000 SLC, with Philippines ahead.
- How many years of comparable data are there for Burundi and Philippines?
- 34 years are reported by both, from 1991 to 2024.
- How do Burundi and Philippines rank globally for non food — gross production value?
- Burundi ranks 20th 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.