Philippines vs South America: String beans — Gross Production Index Number
Philippines
86.01
in 2024
South America
102.22
in 2024
Philippines rank
9th
South America rank
12th
String beans — Gross Production Index Number over time
- Philippines
- South America
How they compare
South America currently reports 102.22 against 86.01 in Philippines, a difference of 16.21.
That makes South America's figure about 1.2 times Philippines's.
The two have swapped places 6 times across 35 shared years of data; in 1990 it was South America ahead.
Philippines ranks 9th and South America ranks 12th of 17 countries.
South America has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Philippines | South America | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 20.29 | 74.29 | 54 | South America |
| 2000s | 76.97 | 93.09 | 16.11 | South America |
| 2010s | 99.19 | 101.32 | 2.14 | South America |
| 2020s | 90.62 | 101.14 | 10.52 | South America |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher string beans — gross production index number, Philippines or South America?
- South America, at 102.22 against 86.01 in Philippines as of 2024.
- What is the difference in string beans — gross production index number between Philippines and South America?
- 16.21, with South America ahead.
- How many years of comparable data are there for Philippines and South America?
- 35 years are reported by both, from 1990 to 2024.
- How do Philippines and South America rank globally for string beans — gross production index number?
- Philippines ranks 9th and South America ranks 12th of 17 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as String beans — Gross 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.