Angola vs Lesotho: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- Angola
- Lesotho
How they compare
Angola currently reports 0.0353 against 0.0297 in Lesotho, a difference of 0.0056.
That makes Angola's figure about 1.2 times Lesotho's.
Across all 16 years both countries report, Angola has been ahead every year.
Angola ranks 94th and Lesotho ranks 96th of 119 countries.
Angola has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Angola | Lesotho | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.059 | 0.0424 | 0.0167 | Angola |
| 2010s | 0.0965 | 0.0169 | 0.0797 | Angola |
| 2020s | 0.0572 | 0.0354 | 0.0218 | Angola |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — ratio of value added, Angola or Lesotho?
- Angola, at 0.0353 against 0.0297 in Lesotho as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between Angola and Lesotho?
- 0.0056, with Angola ahead.
- How many years of comparable data are there for Angola and Lesotho?
- 16 years are reported by both, from 2009 to 2024.
- How do Angola and Lesotho rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- Angola ranks 94th and Lesotho ranks 96th of 119 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — Ratio of Value Added (Agriculture, Forestry and Fishing) 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.