Philippines vs Zimbabwe: Watermelons β Gross Production Value
Philippines
29,917 1000 Int$
in 2024
Zimbabwe
33,347 1000 Int$
in 2024
Philippines rank
53rd
Zimbabwe rank
50th
Watermelons β Gross Production Value over time
- Philippines
- Zimbabwe
How they compare
Zimbabwe currently reports 33,347 1000 Int$ against 29,917 1000 Int$ in Philippines, a difference of 3,430 1000 Int$.
That makes Zimbabwe's figure about 1.1 times Philippines's.
The two have swapped places 1 time across 6 shared years of data; in 2019 it was Philippines ahead.
Philippines ranks 53rd and Zimbabwe ranks 50th of 117 countries.
Across the 2 decades both report, Philippines averaged higher in 1 and Zimbabwe in 1.
Head to head by decade
| Decade | Philippines | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 33,288 1000 Int$ | 21,571 1000 Int$ | 11,717 1000 Int$ | Philippines |
| 2020s | 31,211 1000 Int$ | 36,219 1000 Int$ | 5,008 1000 Int$ | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons β gross production value, Philippines or Zimbabwe?
- Zimbabwe, at 33,347 1000 Int$ against 29,917 1000 Int$ in Philippines as of 2024.
- What is the difference in watermelons β gross production value between Philippines and Zimbabwe?
- 3,430 1000 Int$, with Zimbabwe ahead.
- How many years of comparable data are there for Philippines and Zimbabwe?
- 6 years are reported by both, from 2019 to 2024.
- How do Philippines and Zimbabwe rank globally for watermelons β gross production value?
- Philippines ranks 53rd and Zimbabwe ranks 50th of 117 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons β Gross Production Value (constant 2014-2016 thousand I$). 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.