Philippines vs Poland: String beans — Gross Production Value
Philippines
130,474 1000 Int$
in 2024
Poland
73,970 1000 Int$
in 2017
Philippines rank
3rd
Poland rank
6th
String beans — Gross Production Value over time
- Philippines
- Poland
How they compare
Philippines currently reports 130,474 1000 Int$ against 73,970 1000 Int$ in Poland, a difference of 56,504 1000 Int$.
That makes Philippines's figure about 1.8 times Poland's.
The two have swapped places 1 time across 28 shared years of data; in 1990 it was Poland ahead.
Philippines ranks 3rd and Poland ranks 6th of 19 countries.
Across the 3 decades both report, Philippines averaged higher in 2 and Poland in 1.
Head to head by decade
| Decade | Philippines | Poland | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 30,787 1000 Int$ | 71,208 1000 Int$ | 40,421 1000 Int$ | Poland |
| 2000s | 116,761 1000 Int$ | 75,323 1000 Int$ | 41,438 1000 Int$ | Philippines |
| 2010s | 151,588 1000 Int$ | 76,054 1000 Int$ | 75,534 1000 Int$ | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher string beans — gross production value, Philippines or Poland?
- Philippines, at 130,474 1000 Int$ against 73,970 1000 Int$ in Poland as of 2024.
- What is the difference in string beans — gross production value between Philippines and Poland?
- 56,504 1000 Int$, with Philippines ahead.
- How many years of comparable data are there for Philippines and Poland?
- 28 years are reported by both, from 1990 to 2017.
- How do Philippines and Poland rank globally for string beans — gross production value?
- Philippines ranks 3rd and Poland ranks 6th of 19 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as String beans — Gross Production Value (constant 2014-2016 thousand I$). 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.