Argentina vs Nepal: Credit to Agriculture and Forestry — Value US$
Credit to Agriculture and Forestry — Value US$ over time
- Argentina
- Nepal
How they compare
Nepal currently reports 2,728 million USD against 2,623 million USD in Argentina, a difference of 105 million USD.
The two have swapped places 1 time across 15 shared years of data; in 2009 it was Argentina ahead.
Argentina ranks 10th and Nepal ranks 9th of 25 countries.
Argentina has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Argentina | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 4,556 million USD | 170.92 million USD | 4,385 million USD | Argentina |
| 2010s | 8,048 million USD | 648.92 million USD | 7,399 million USD | Argentina |
| 2020s | 5,400 million USD | 2,391 million USD | 3,008 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$, Argentina or Nepal?
- Nepal, at 2,728 million USD against 2,623 million USD in Argentina as of 2024.
- What is the difference in credit to agriculture and forestry — value us$ between Argentina and Nepal?
- 105 million USD, with Nepal ahead.
- How many years of comparable data are there for Argentina and Nepal?
- 15 years are reported by both, from 2009 to 2024.
- How do Argentina and Nepal rank globally for credit to agriculture and forestry — value us$?
- Argentina ranks 10th and Nepal ranks 9th of 25 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture and Forestry — Value US$. 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.