Peru vs Sri Lanka: Credit to Agriculture — Value US$
Credit to Agriculture — Value US$ over time
- Peru
- Sri Lanka
How they compare
Peru currently reports 2,247 million USD against 1,815 million USD in Sri Lanka, a difference of 432 million USD.
That makes Peru's figure about 1.2 times Sri Lanka's.
The two have swapped places 1 time across 8 shared years of data; in 2008 it was Sri Lanka ahead.
Peru ranks 11th and Sri Lanka ranks 12th of 59 countries.
Sri Lanka has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Peru | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 976.72 million USD | 1,195 million USD | 218.26 million USD | Sri Lanka |
| 2010s | 1,966 million USD | 2,207 million USD | 241.34 million USD | Sri Lanka |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value us$, Peru or Sri Lanka?
- Peru, at 2,247 million USD against 1,815 million USD in Sri Lanka as of 2015.
- What is the difference in credit to agriculture — value us$ between Peru and Sri Lanka?
- 432 million USD, with Peru ahead.
- How many years of comparable data are there for Peru and Sri Lanka?
- 8 years are reported by both, from 2008 to 2015.
- How do Peru and Sri Lanka rank globally for credit to agriculture — value us$?
- Peru ranks 11th and Sri Lanka ranks 12th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value US$. 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.