Italy vs Yugoslav SFR: Nutrient potash K2O (total) — Agricultural Use, gaps filled
Italy
138,934 t
in 2024
Yugoslav SFR
154,300 t
in 1991
Italy rank
32nd
Yugoslav SFR rank
29th
Nutrient potash K2O (total) — Agricultural Use, gaps filled over time
- Italy
- Yugoslav SFR
How they compare
Yugoslav SFR currently reports 154,300 t against 138,934 t in Italy, a difference of 15,366 t.
That makes Yugoslav SFR's figure about 1.1 times Italy's.
The two have swapped places 2 times across 31 shared years of data; in 1961 it was Italy ahead.
Italy ranks 32nd and Yugoslav SFR ranks 29th of 212 countries.
Italy has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Italy | Yugoslav SFR | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 157,919 t | 126,105 t | 31,814 t | Italy |
| 1970s | 289,577 t | 176,856 t | 112,721 t | Italy |
| 1980s | 400,164 t | 241,901 t | 158,264 t | Italy |
| 1990s | 419,380 t | 172,150 t | 247,230 t | Italy |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher nutrient potash k2o (total) — agricultural use, gaps filled, Italy or Yugoslav SFR?
- Yugoslav SFR, at 154,300 t against 138,934 t in Italy as of 1991.
- What is the difference in nutrient potash k2o (total) — agricultural use, gaps filled between Italy and Yugoslav SFR?
- 15,366 t, with Yugoslav SFR ahead.
- How many years of comparable data are there for Italy and Yugoslav SFR?
- 31 years are reported by both, from 1961 to 1991.
- How do Italy and Yugoslav SFR rank globally for nutrient potash k2o (total) — agricultural use, gaps filled?
- Italy ranks 32nd and Yugoslav SFR ranks 29th of 212 countries.
- Where does this data come from?
- Statizoid (derived), published as Nutrient potash K2O (total) — Agricultural Use, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Nutrient potash K2O (total) — Agricultural Use with 124 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.