Kazakhstan vs Peru: Credit to Agriculture — Value US$
Credit to Agriculture — Value US$ over time
- Kazakhstan
- Peru
How they compare
Peru currently reports 2,247 million USD against 1,758 million USD in Kazakhstan, a difference of 489 million USD.
That makes Peru's figure about 1.3 times Kazakhstan's.
The two have swapped places 2 times across 7 shared years of data; in 2009 it was Kazakhstan ahead.
Kazakhstan ranks 13th and Peru ranks 11th of 59 countries.
Kazakhstan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Kazakhstan | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1,884 million USD | 1,049 million USD | 835.27 million USD | Kazakhstan |
| 2010s | 2,334 million USD | 1,966 million USD | 368.54 million USD | Kazakhstan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value us$, Kazakhstan or Peru?
- Peru, at 2,247 million USD against 1,758 million USD in Kazakhstan as of 2015.
- What is the difference in credit to agriculture — value us$ between Kazakhstan and Peru?
- 489 million USD, with Peru ahead.
- How many years of comparable data are there for Kazakhstan and Peru?
- 7 years are reported by both, from 2009 to 2015.
- How do Kazakhstan and Peru rank globally for credit to agriculture — value us$?
- Kazakhstan ranks 13th and Peru ranks 11th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value US$. 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.