Philippines vs Sudan (former): Okra — Gross Production Value
Okra — Gross Production Value over time
- Philippines
- Sudan (former)
How they compare
Sudan (former) currently reports 1.54 million 1000 SLC against 1.16 million 1000 SLC in Philippines, a difference of 380,050 1000 SLC.
That makes Sudan (former)'s figure about 1.3 times Philippines's.
The two have swapped places 1 time across 21 shared years of data; in 1991 it was Philippines ahead.
Philippines ranks 17th and Sudan (former) ranks 16th of 37 countries.
Across the 3 decades both report, Philippines averaged higher in 1 and Sudan (former) in 2.
Head to head by decade
| Decade | Philippines | Sudan (former) | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 178,102 1000 SLC | 44,527 1000 SLC | 133,575 1000 SLC | Philippines |
| 2000s | 335,336 1000 SLC | 456,483 1000 SLC | 121,147 1000 SLC | Sudan (former) |
| 2010s | 473,525 1000 SLC | 1.41 million 1000 SLC | 937,775 1000 SLC | Sudan (former) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher okra — gross production value, Philippines or Sudan (former)?
- Sudan (former), at 1.54 million 1000 SLC against 1.16 million 1000 SLC in Philippines as of 2011.
- What is the difference in okra — gross production value between Philippines and Sudan (former)?
- 380,050 1000 SLC, with Sudan (former) ahead.
- How many years of comparable data are there for Philippines and Sudan (former)?
- 21 years are reported by both, from 1991 to 2011.
- How do Philippines and Sudan (former) rank globally for okra — gross production value?
- Philippines ranks 17th and Sudan (former) ranks 16th of 37 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Okra — 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.