China, Hong Kong SAR vs Gambia: Nutrient potash K2O (total) — Agricultural Use, gaps filled
China, Hong Kong SAR
201 t
in 2024
Gambia
157 t
in 2024
China, Hong Kong SAR rank
170th
Gambia rank
171st
Nutrient potash K2O (total) — Agricultural Use, gaps filled over time
- China, Hong Kong SAR
- Gambia
How they compare
China, Hong Kong SAR currently reports 201 t against 157 t in Gambia, a difference of 44 t.
That makes China, Hong Kong SAR's figure about 1.3 times Gambia's.
The two have swapped places 5 times across 23 shared years of data; in 2002 it was Gambia ahead.
China, Hong Kong SAR ranks 170th and Gambia ranks 171st of 212 countries.
Gambia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | China, Hong Kong SAR | Gambia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 247.62 t | 541.94 t | 294.31 t | Gambia |
| 2010s | 307.2 t | 405.8 t | 98.6 t | Gambia |
| 2020s | 207 t | 239.2 t | 32.2 t | Gambia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher nutrient potash k2o (total) — agricultural use, gaps filled, China, Hong Kong SAR or Gambia?
- China, Hong Kong SAR, at 201 t against 157 t in Gambia as of 2024.
- What is the difference in nutrient potash k2o (total) — agricultural use, gaps filled between China, Hong Kong SAR and Gambia?
- 44 t, with China, Hong Kong SAR ahead.
- How many years of comparable data are there for China, Hong Kong SAR and Gambia?
- 23 years are reported by both, from 2002 to 2024.
- How do China, Hong Kong SAR and Gambia rank globally for nutrient potash k2o (total) — agricultural use, gaps filled?
- China, Hong Kong SAR ranks 170th and Gambia ranks 171st 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.