Peru vs Saudi Arabia: Nutrient potash K2O (total) — Agricultural Use, gaps filled
Peru
83,546 t
in 2024
Saudi Arabia
80,535 t
in 2024
Peru rank
44th
Saudi Arabia rank
45th
Nutrient potash K2O (total) — Agricultural Use, gaps filled over time
- Peru
- Saudi Arabia
How they compare
Peru currently reports 83,546 t against 80,535 t in Saudi Arabia, a difference of 3,011 t.
The two have swapped places 8 times across 53 shared years of data; in 1972 it was Peru ahead.
Peru ranks 44th and Saudi Arabia ranks 45th of 212 countries.
Across the 6 decades both report, Peru averaged higher in 5 and Saudi Arabia in 1.
Head to head by decade
| Decade | Peru | Saudi Arabia | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 11,386 t | 1,238 t | 10,147 t | Peru |
| 1980s | 16,966 t | 20,473 t | 3,507 t | Saudi Arabia |
| 1990s | 15,785 t | 14,460 t | 1,325 t | Peru |
| 2000s | 47,417 t | 17,440 t | 29,977 t | Peru |
| 2010s | 78,368 t | 20,200 t | 58,168 t | Peru |
| 2020s | 93,382 t | 80,685 t | 12,697 t | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher nutrient potash k2o (total) — agricultural use, gaps filled, Peru or Saudi Arabia?
- Peru, at 83,546 t against 80,535 t in Saudi Arabia as of 2024.
- What is the difference in nutrient potash k2o (total) — agricultural use, gaps filled between Peru and Saudi Arabia?
- 3,011 t, with Peru ahead.
- How many years of comparable data are there for Peru and Saudi Arabia?
- 53 years are reported by both, from 1972 to 2024.
- How do Peru and Saudi Arabia rank globally for nutrient potash k2o (total) — agricultural use, gaps filled?
- Peru ranks 44th and Saudi Arabia ranks 45th 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.