Central Asia vs Palestine, State of: Watermelons — Gross Production Index Number
Watermelons — Gross Production Index Number over time
- Central Asia
- Palestine, State of
How they compare
Palestine, State of currently reports 174.82 against 105.61 in Central Asia, a difference of 69.21.
That makes Palestine, State of's figure about 1.7 times Central Asia's.
The two have swapped places 4 times across 29 shared years of data; in 1994 it was Palestine, State of ahead.
Central Asia ranks 15th and Palestine, State of ranks 18th of 27 groups.
Palestine, State of has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Central Asia | Palestine, State of | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 25.26 | 97.85 | 72.59 | Palestine, State of |
| 2000s | 42.46 | 100.02 | 57.56 | Palestine, State of |
| 2010s | 92.01 | 94.75 | 2.74 | Palestine, State of |
| 2020s | 100.59 | 164.82 | 64.23 | Palestine, State of |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Central Asia or Palestine, State of?
- Palestine, State of, at 174.82 against 105.61 in Central Asia as of 2022.
- What is the difference in watermelons — gross production index number between Central Asia and Palestine, State of?
- 69.21, with Palestine, State of ahead.
- How many years of comparable data are there for Central Asia and Palestine, State of?
- 29 years are reported by both, from 1994 to 2022.
- How do Central Asia and Palestine, State of rank globally for watermelons — gross production index number?
- Central Asia ranks 15th and Palestine, State of ranks 18th of 27 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — 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.