Italy vs Sri Lanka: Oranges — Gross per capita Production Index Number
Italy
94.5
in 2017
Sri Lanka
94.04
in 2024
Italy rank
51st
Sri Lanka rank
52nd
Oranges — Gross per capita Production Index Number over time
- Italy
- Sri Lanka
How they compare
Italy currently reports 94.5 against 94.04 in Sri Lanka, a difference of 0.46.
The two have swapped places 5 times across 57 shared years of data; in 1961 it was Sri Lanka ahead.
Italy ranks 51st and Sri Lanka ranks 52nd of 108 countries.
Across the 6 decades both report, Italy averaged higher in 3 and Sri Lanka in 3.
Head to head by decade
| Decade | Italy | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 73.47 | 321.14 | 247.67 | Sri Lanka |
| 1970s | 99.44 | 183.18 | 83.74 | Sri Lanka |
| 1980s | 115.26 | 140.34 | 25.08 | Sri Lanka |
| 1990s | 109.82 | 57.76 | 52.06 | Italy |
| 2000s | 125.7 | 84 | 41.7 | Italy |
| 2010s | 110.01 | 99.15 | 10.86 | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher oranges — gross per capita production index number, Italy or Sri Lanka?
- Italy, at 94.5 against 94.04 in Sri Lanka as of 2017.
- What is the difference in oranges — gross per capita production index number between Italy and Sri Lanka?
- 0.46, with Italy ahead.
- How many years of comparable data are there for Italy and Sri Lanka?
- 57 years are reported by both, from 1961 to 2017.
- How do Italy and Sri Lanka rank globally for oranges — gross per capita production index number?
- Italy ranks 51st and Sri Lanka ranks 52nd of 108 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Oranges — Gross per capita 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.