Philippines vs Serbia: Beans, dry — Gross Production Value
Philippines
2.11 million 1000 SLC
in 2024
Serbia
1.45 million 1000 SLC
in 2024
Philippines rank
42nd
Serbia rank
45th
Beans, dry — Gross Production Value over time
- Philippines
- Serbia
How they compare
Philippines currently reports 2.11 million 1000 SLC against 1.45 million 1000 SLC in Serbia, a difference of 657,320 1000 SLC.
That makes Philippines's figure about 1.5 times Serbia's.
The two have swapped places 3 times across 19 shared years of data; in 2006 it was Serbia ahead.
Philippines ranks 42nd and Serbia ranks 45th of 98 countries.
Across the 3 decades both report, Philippines averaged higher in 1 and Serbia in 2.
Head to head by decade
| Decade | Philippines | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.03 million 1000 SLC | 4.38 million 1000 SLC | 3.35 million 1000 SLC | Serbia |
| 2010s | 1.82 million 1000 SLC | 2.59 million 1000 SLC | 767,194 1000 SLC | Serbia |
| 2020s | 2.28 million 1000 SLC | 1.63 million 1000 SLC | 642,210 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher beans, dry — gross production value, Philippines or Serbia?
- Philippines, at 2.11 million 1000 SLC against 1.45 million 1000 SLC in Serbia as of 2024.
- What is the difference in beans, dry — gross production value between Philippines and Serbia?
- 657,320 1000 SLC, with Philippines ahead.
- How many years of comparable data are there for Philippines and Serbia?
- 19 years are reported by both, from 2006 to 2024.
- How do Philippines and Serbia rank globally for beans, dry — gross production value?
- Philippines ranks 42nd and Serbia ranks 45th of 98 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.