Philippines vs Serbia: Soya beans — Gross per capita Production Index Number
Philippines
77.17
in 2024
Serbia
70.29
in 2024
Philippines rank
73rd
Serbia rank
75th
Soya beans — Gross per capita Production Index Number over time
- Philippines
- Serbia
How they compare
Philippines currently reports 77.17 against 70.29 in Serbia, a difference of 6.88.
That makes Philippines's figure about 1.1 times Serbia's.
The two have swapped places 6 times across 19 shared years of data; in 2006 it was Philippines ahead.
Philippines ranks 73rd and Serbia ranks 75th of 85 countries.
Across the 3 decades both report, Philippines averaged higher in 2 and Serbia in 1.
Head to head by decade
| Decade | Philippines | Serbia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 172.46 | 65.5 | 106.96 | Philippines |
| 2010s | 113.2 | 95.8 | 17.4 | Philippines |
| 2020s | 84.04 | 105.55 | 21.51 | Serbia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher soya beans — gross per capita production index number, Philippines or Serbia?
- Philippines, at 77.17 against 70.29 in Serbia as of 2024.
- What is the difference in soya beans — gross per capita production index number between Philippines and Serbia?
- 6.88, 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 soya beans — gross per capita production index number?
- Philippines ranks 73rd and Serbia ranks 75th of 85 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Soya beans — Gross per capita Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.