Brazil vs Lebanon: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- Brazil
- Lebanon
How they compare
Brazil currently reports 0.0938 against 0.0896 in Lebanon, a difference of 0.0042.
The two have swapped places 1 time across 13 shared years of data; in 2012 it was Lebanon ahead.
Brazil ranks 74th and Lebanon ranks 76th of 119 countries.
Across the 2 decades both report, Brazil averaged higher in 1 and Lebanon in 1.
Head to head by decade
| Decade | Brazil | Lebanon | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1014 | 0.3656 | 0.2642 | Lebanon |
| 2020s | 0.0924 | 0.0621 | 0.0303 | Brazil |
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, Brazil or Lebanon?
- Brazil, at 0.0938 against 0.0896 in Lebanon as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between Brazil and Lebanon?
- 0.0042, with Brazil ahead.
- How many years of comparable data are there for Brazil and Lebanon?
- 13 years are reported by both, from 2012 to 2024.
- How do Brazil and Lebanon rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- Brazil ranks 74th and Lebanon ranks 76th 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.