Philippines vs Zimbabwe: Oranges — Gross Production Value
Philippines
69,806 1000 SLC
in 2024
Zimbabwe
76,396 1000 SLC
in 2018
Philippines rank
66th
Zimbabwe rank
64th
Oranges — Gross Production Value over time
- Philippines
- Zimbabwe
How they compare
Zimbabwe currently reports 76,396 1000 SLC against 69,806 1000 SLC in Philippines, a difference of 6,590 1000 SLC.
That makes Zimbabwe's figure about 1.1 times Philippines's.
The two have swapped places 2 times across 21 shared years of data; in 1991 it was Philippines ahead.
Philippines ranks 66th and Zimbabwe ranks 64th of 98 countries.
Across the 3 decades both report, Philippines averaged higher in 2 and Zimbabwe in 1.
Head to head by decade
| Decade | Philippines | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 126,934 1000 SLC | 310.22 1000 SLC | 126,624 1000 SLC | Philippines |
| 2000s | 224,708 1000 SLC | 5.49 million 1000 SLC | 5.27 million 1000 SLC | Zimbabwe |
| 2010s | 111,885 1000 SLC | 64,446 1000 SLC | 47,438 1000 SLC | Philippines |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross production value, Philippines or Zimbabwe?
- Zimbabwe, at 76,396 1000 SLC against 69,806 1000 SLC in Philippines as of 2018.
- What is the difference in oranges — gross production value between Philippines and Zimbabwe?
- 6,590 1000 SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Philippines and Zimbabwe?
- 21 years are reported by both, from 1991 to 2018.
- How do Philippines and Zimbabwe rank globally for oranges — gross production value?
- Philippines ranks 66th and Zimbabwe ranks 64th of 98 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — Gross Production Value (current thousand SLC). 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.