Belarus vs Philippines: Beans, dry — Gross Production Value
Belarus
2.30 million 1000 SLC
in 2024
Philippines
2.11 million 1000 SLC
in 2024
Belarus rank
46th
Philippines rank
47th
Beans, dry — Gross Production Value over time
- Belarus
- Philippines
How they compare
Belarus currently reports 2.30 million 1000 SLC against 2.11 million 1000 SLC in Philippines, a difference of 190,110 1000 SLC.
That makes Belarus's figure about 1.1 times Philippines's.
The two have swapped places 1 time across 25 shared years of data; in 2000 it was Philippines ahead.
Belarus ranks 46th and Philippines ranks 47th of 107 countries.
Philippines has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Belarus | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 8,912 1000 SLC | 817,358 1000 SLC | 808,446 1000 SLC | Philippines |
| 2010s | 270,172 1000 SLC | 1.82 million 1000 SLC | 1.55 million 1000 SLC | Philippines |
| 2020s | 1.47 million 1000 SLC | 2.28 million 1000 SLC | 809,689 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Belarus or Philippines?
- Belarus, at 2.30 million 1000 SLC against 2.11 million 1000 SLC in Philippines as of 2024.
- What is the difference in beans, dry — gross production value between Belarus and Philippines?
- 190,110 1000 SLC, with Belarus ahead.
- How many years of comparable data are there for Belarus and Philippines?
- 25 years are reported by both, from 2000 to 2024.
- How do Belarus and Philippines rank globally for beans, dry — gross production value?
- Belarus ranks 46th and Philippines ranks 47th of 107 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Beans, dry — 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.