Hungary vs Sri Lanka: Sugar Crops Primary — Gross Production Index Number
Hungary
82.9
in 2024
Sri Lanka
83.82
in 2024
Hungary rank
89th
Sri Lanka rank
88th
Sugar Crops Primary — Gross Production Index Number over time
- Hungary
- Sri Lanka
How they compare
Sri Lanka currently reports 83.82 against 82.9 in Hungary, a difference of 0.92.
The two have swapped places 5 times across 64 shared years of data; in 1961 it was Hungary ahead.
Hungary ranks 89th and Sri Lanka ranks 88th of 123 countries.
Across the 7 decades both report, Hungary averaged higher in 5 and Sri Lanka in 2.
Head to head by decade
| Decade | Hungary | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 313.71 | 16.5 | 297.2 | Hungary |
| 1970s | 325.37 | 28.14 | 297.23 | Hungary |
| 1980s | 426.69 | 69.67 | 357.02 | Hungary |
| 1990s | 367.4 | 130.03 | 237.37 | Hungary |
| 2000s | 207.81 | 116.3 | 91.51 | Hungary |
| 2010s | 92 | 92.9 | 0.897 | Sri Lanka |
| 2020s | 70.88 | 97.66 | 26.77 | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher sugar crops primary — gross production index number, Hungary or Sri Lanka?
- Sri Lanka, at 83.82 against 82.9 in Hungary as of 2024.
- What is the difference in sugar crops primary — gross production index number between Hungary and Sri Lanka?
- 0.92, with Sri Lanka ahead.
- How many years of comparable data are there for Hungary and Sri Lanka?
- 64 years are reported by both, from 1961 to 2024.
- How do Hungary and Sri Lanka rank globally for sugar crops primary — gross production index number?
- Hungary ranks 89th and Sri Lanka ranks 88th of 123 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Sugar Crops Primary — 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.