China vs United Republic of Tanzania: Cotton lint, ginned — Stock Variation
China
817,534 t
in 2023
United Republic of Tanzania
1,089 t
in 2023
China rank
2nd
United Republic of Tanzania rank
4th
Cotton lint, ginned — Stock Variation over time
- China
- United Republic of Tanzania
How they compare
China currently reports 817,534 t against 1,089 t in United Republic of Tanzania, a difference of 816,445 t.
That makes China's figure about 751.0 times United Republic of Tanzania's.
The two have swapped places 3 times across 10 shared years of data; in 2014 it was United Republic of Tanzania ahead.
China ranks 2nd and United Republic of Tanzania ranks 4th of 153 countries.
Across the 2 decades both report, China averaged higher in 1 and United Republic of Tanzania in 1.
Head to head by decade
| Decade | China | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | -19.01 t | 11,416 t | 11,435 t | United Republic of Tanzania |
| 2020s | 159,458 t | 185.04 t | 159,273 t | China |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cotton lint, ginned — stock variation, China or United Republic of Tanzania?
- China, at 817,534 t against 1,089 t in United Republic of Tanzania as of 2023.
- What is the difference in cotton lint, ginned — stock variation between China and United Republic of Tanzania?
- 816,445 t, with China ahead.
- How many years of comparable data are there for China and United Republic of Tanzania?
- 10 years are reported by both, from 2014 to 2023.
- How do China and United Republic of Tanzania rank globally for cotton lint, ginned — stock variation?
- China ranks 2nd and United Republic of Tanzania ranks 4th of 153 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Cotton lint, ginned — Stock Variation. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Commodity balances (CB) present a comprehensive picture of the pattern of a country's non-food supply during a specified reference period.