Angola vs Nepal: Credit to Agriculture and Forestry — Value US$, 2015 prices
Credit to Agriculture and Forestry — Value US$, 2015 prices over time
- Angola
- Nepal
How they compare
Nepal currently reports 2,103 million USD against 934.79 million USD in Angola, a difference of 1,168 million USD.
That makes Nepal's figure about 2.2 times Angola's.
The two have swapped places 2 times across 11 shared years of data; in 2009 it was Nepal ahead.
Angola ranks 13th and Nepal ranks 10th of 25 countries.
Across the 2 decades both report, Angola averaged higher in 1 and Nepal in 1.
Head to head by decade
| Decade | Angola | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 181.33 million USD | 214.99 million USD | 33.67 million USD | Nepal |
| 2010s | 899.7 million USD | 604.76 million USD | 294.94 million USD | Angola |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture and forestry — value us$, 2015 prices, Angola or Nepal?
- Nepal, at 2,103 million USD against 934.79 million USD in Angola as of 2024.
- What is the difference in credit to agriculture and forestry — value us$, 2015 prices between Angola and Nepal?
- 1,168 million USD, with Nepal ahead.
- How many years of comparable data are there for Angola and Nepal?
- 11 years are reported by both, from 2009 to 2019.
- How do Angola and Nepal rank globally for credit to agriculture and forestry — value us$, 2015 prices?
- Angola ranks 13th and Nepal ranks 10th of 25 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture and Forestry — Value US$, 2015 prices. 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.