Northern Africa vs Philippines: String beans — Gross Production Index Number
Northern Africa
117.18
in 2024
Philippines
86.01
in 2024
Northern Africa rank
7th
Philippines rank
9th
String beans — Gross Production Index Number over time
- Northern Africa
- Philippines
How they compare
Northern Africa currently reports 117.18 against 86.01 in Philippines, a difference of 31.17.
That makes Northern Africa's figure about 1.4 times Philippines's.
The two have swapped places 9 times across 35 shared years of data; in 1990 it was Philippines ahead.
Northern Africa ranks 7th and Philippines ranks 9th of 20 groups.
Across the 4 decades both report, Northern Africa averaged higher in 3 and Philippines in 1.
Head to head by decade
| Decade | Northern Africa | Philippines | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 12.9 | 20.29 | 7.4 | Philippines |
| 2000s | 83.26 | 76.97 | 6.29 | Northern Africa |
| 2010s | 103.6 | 99.19 | 4.41 | Northern Africa |
| 2020s | 110.81 | 90.62 | 20.19 | Northern Africa |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher string beans — gross production index number, Northern Africa or Philippines?
- Northern Africa, at 117.18 against 86.01 in Philippines as of 2024.
- What is the difference in string beans — gross production index number between Northern Africa and Philippines?
- 31.17, with Northern Africa ahead.
- How many years of comparable data are there for Northern Africa and Philippines?
- 35 years are reported by both, from 1990 to 2024.
- How do Northern Africa and Philippines rank globally for string beans — gross production index number?
- Northern Africa ranks 7th and Philippines ranks 9th of 20 groups.
- 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.