Niger vs Peru: Credit to Agriculture — Value Standard Local Currency
Credit to Agriculture — Value Standard Local Currency over time
- Niger
- Peru
How they compare
Niger currently reports 26,720 million SLC against 7,154 million SLC in Peru, a difference of 19,566 million SLC.
That makes Niger's figure about 3.7 times Peru's.
The two have swapped places 1 time across 7 shared years of data; in 2008 it was Niger ahead.
Niger ranks 22nd and Peru ranks 25th of 59 countries.
Across the 2 decades both report, Niger averaged higher in 1 and Peru in 1.
Head to head by decade
| Decade | Niger | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 3,872 million SLC | 2,902 million SLC | 970.5 million SLC | Niger |
| 2010s | 3,681 million SLC | 5,970 million SLC | 2,289 million SLC | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value standard local currency, Niger or Peru?
- Niger, at 26,720 million SLC against 7,154 million SLC in Peru as of 2024.
- What is the difference in credit to agriculture — value standard local currency between Niger and Peru?
- 19,566 million SLC, with Niger ahead.
- How many years of comparable data are there for Niger and Peru?
- 7 years are reported by both, from 2008 to 2015.
- How do Niger and Peru rank globally for credit to agriculture — value standard local currency?
- Niger ranks 22nd and Peru ranks 25th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value Standard Local Currency. 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.