Argentina vs Sri Lanka: Credit to Fishery — Value US$
Credit to Fishery — Value US$ over time
- Argentina
- Sri Lanka
How they compare
Sri Lanka currently reports 87.85 million USD against 32.3 million USD in Argentina, a difference of 55.55 million USD.
That makes Sri Lanka's figure about 2.7 times Argentina's.
The two have swapped places 3 times across 14 shared years of data; in 2009 it was Argentina ahead.
Argentina ranks 13th and Sri Lanka ranks 10th of 43 countries.
Across the 3 decades both report, Argentina averaged higher in 2 and Sri Lanka in 1.
Head to head by decade
| Decade | Argentina | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 53.03 million USD | 25.11 million USD | 27.92 million USD | Argentina |
| 2010s | 88.65 million USD | 87.8 million USD | 0.8477 million USD | Argentina |
| 2020s | 44.82 million USD | 106.44 million USD | 61.62 million USD | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to fishery — value us$, Argentina or Sri Lanka?
- Sri Lanka, at 87.85 million USD against 32.3 million USD in Argentina as of 2022.
- What is the difference in credit to fishery — value us$ between Argentina and Sri Lanka?
- 55.55 million USD, with Sri Lanka ahead.
- How many years of comparable data are there for Argentina and Sri Lanka?
- 14 years are reported by both, from 2009 to 2022.
- How do Argentina and Sri Lanka rank globally for credit to fishery — value us$?
- Argentina ranks 13th and Sri Lanka ranks 10th of 43 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Fishery — Value US$. 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.