India vs United Republic of Tanzania: Cotton lint, ginned — Stock Variation
India
528,635 t
in 2023
United Republic of Tanzania
1,089 t
in 2023
India rank
3rd
United Republic of Tanzania rank
4th
Cotton lint, ginned — Stock Variation over time
- India
- United Republic of Tanzania
How they compare
India currently reports 528,635 t against 1,089 t in United Republic of Tanzania, a difference of 527,546 t.
That makes India's figure about 485.6 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.
India ranks 3rd and United Republic of Tanzania ranks 4th of 153 countries.
United Republic of Tanzania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | India | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0 t | 11,416 t | 11,416 t | United Republic of Tanzania |
| 2020s | -55,248 t | 185.04 t | 55,433 t | United Republic of Tanzania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher cotton lint, ginned — stock variation, India or United Republic of Tanzania?
- India, at 528,635 t against 1,089 t in United Republic of Tanzania as of 2023.
- What is the difference in cotton lint, ginned — stock variation between India and United Republic of Tanzania?
- 527,546 t, with India ahead.
- How many years of comparable data are there for India and United Republic of Tanzania?
- 10 years are reported by both, from 2014 to 2023.
- How do India and United Republic of Tanzania rank globally for cotton lint, ginned — stock variation?
- India ranks 3rd 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.