Canada vs United Republic of Tanzania: Credit to Fishery — Value US$
Credit to Fishery — Value US$ over time
- Canada
- United Republic of Tanzania
How they compare
Canada currently reports 1,361 million USD against 22.79 million USD in United Republic of Tanzania, a difference of 1,338 million USD.
That makes Canada's figure about 59.7 times United Republic of Tanzania's.
Across all 18 years both countries report, Canada has been ahead every year.
Canada ranks 2nd and United Republic of Tanzania ranks 1st of 43 countries.
Canada has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Canada | United Republic of Tanzania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 460.48 million USD | 13.73 million USD | 446.75 million USD | Canada |
| 2010s | 507.99 million USD | 28.54 million USD | 479.45 million USD | Canada |
| 2020s | 1,066 million USD | 19.98 million USD | 1,046 million USD | Canada |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to fishery — value us$, Canada or United Republic of Tanzania?
- Canada, at 1,361 million USD against 22.79 million USD in United Republic of Tanzania as of 2024.
- What is the difference in credit to fishery — value us$ between Canada and United Republic of Tanzania?
- 1,338 million USD, with Canada ahead.
- How many years of comparable data are there for Canada and United Republic of Tanzania?
- 18 years are reported by both, from 2006 to 2023.
- How do Canada and United Republic of Tanzania rank globally for credit to fishery — value us$?
- Canada ranks 2nd and United Republic of Tanzania ranks 1st of 43 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Fishery — Value US$. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics publications via annual or quarterly reports online. Data collection has been carried out mostly through reports found on the central bank websites. Data are collected and compiled according to the International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4: https://unstats.un.org/unsd/classifications/Econ/isic) with a special concentration on the credit to agriculture, forestry and fishing sector separately from the ones to manufacturing and services.