Guatemala vs Peru: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- Guatemala
- Peru
How they compare
Guatemala currently reports 0.2025 against 0.1983 in Peru, a difference of 0.0042.
The two have swapped places 1 time across 8 shared years of data; in 2008 it was Guatemala ahead.
Guatemala ranks 51st and Peru ranks 53rd of 119 countries.
Peru has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Guatemala | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.1333 | 0.1408 | 0.0076 | Peru |
| 2010s | 0.1622 | 0.1833 | 0.0211 | Peru |
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, Guatemala or Peru?
- Guatemala, at 0.2025 against 0.1983 in Peru as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between Guatemala and Peru?
- 0.0042, with Guatemala ahead.
- How many years of comparable data are there for Guatemala and Peru?
- 8 years are reported by both, from 2008 to 2015.
- How do Guatemala and Peru rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- Guatemala ranks 51st and Peru ranks 53rd 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.