Italy vs World: Silk-worm cocoons suitable for reeling — Gross Production Index Number
Italy
92.94
in 2017
World
64.15
in 2024
Italy rank
14th
World rank
15th
Silk-worm cocoons suitable for reeling — Gross Production Index Number over time
- Italy
- World
How they compare
Italy currently reports 92.94 against 64.15 in World, a difference of 28.79.
That makes Italy's figure about 1.4 times World's.
The two have swapped places 4 times across 57 shared years of data; in 1961 it was Italy ahead.
Italy ranks 14th and World ranks 15th of 22 countries.
Across the 6 decades both report, Italy averaged higher in 5 and World in 1.
Head to head by decade
| Decade | Italy | World | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 5,939 | 32.08 | 5,907 | Italy |
| 1970s | 731.5 | 41.02 | 690.48 | Italy |
| 1980s | 137.63 | 45.21 | 92.42 | Italy |
| 1990s | 29.01 | 50.38 | 21.38 | World |
| 2000s | 90.1 | 68.69 | 21.42 | Italy |
| 2010s | 96.95 | 87.17 | 9.77 | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher silk-worm cocoons suitable for reeling — gross production index number, Italy or World?
- Italy, at 92.94 against 64.15 in World as of 2017.
- What is the difference in silk-worm cocoons suitable for reeling — gross production index number between Italy and World?
- 28.79, with Italy ahead.
- How many years of comparable data are there for Italy and World?
- 57 years are reported by both, from 1961 to 2017.
- How do Italy and World rank globally for silk-worm cocoons suitable for reeling — gross production index number?
- Italy ranks 14th and World ranks 15th of 22 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Silk-worm cocoons suitable for reeling — 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.