Angola vs Argentina: Credit to Agriculture and Forestry — Value US$
Credit to Agriculture and Forestry — Value US$ over time
- Angola
- Argentina
How they compare
Argentina currently reports 2,623 million USD against 701.35 million USD in Angola, a difference of 1,922 million USD.
That makes Argentina's figure about 3.7 times Angola's.
Across all 11 years both countries report, Argentina has been ahead every year.
Angola ranks 13th and Argentina ranks 10th of 25 countries.
Argentina has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Angola | Argentina | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 143.44 million USD | 4,556 million USD | 4,412 million USD | Argentina |
| 2010s | 921.61 million USD | 8,048 million USD | 7,126 million USD | Argentina |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture and forestry — value us$, Angola or Argentina?
- Argentina, at 2,623 million USD against 701.35 million USD in Angola as of 2024.
- What is the difference in credit to agriculture and forestry — value us$ between Angola and Argentina?
- 1,922 million USD, with Argentina ahead.
- How many years of comparable data are there for Angola and Argentina?
- 11 years are reported by both, from 2009 to 2019.
- How do Angola and Argentina rank globally for credit to agriculture and forestry — value us$?
- Angola ranks 13th and Argentina ranks 10th of 25 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture and Forestry — Value US$. 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.