Peru vs Singapore: Credit to Agriculture — Value US$
Credit to Agriculture — Value US$ over time
- Peru
- Singapore
How they compare
Peru currently reports 2,247 million USD against 1,357 million USD in Singapore, a difference of 890 million USD.
That makes Peru's figure about 1.7 times Singapore's.
The two have swapped places 1 time across 8 shared years of data; in 2008 it was Peru ahead.
Peru ranks 11th and Singapore ranks 14th of 59 countries.
Across the 2 decades both report, Peru averaged higher in 1 and Singapore in 1.
Head to head by decade
| Decade | Peru | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 976.72 million USD | 189.56 million USD | 787.16 million USD | Peru |
| 2010s | 1,966 million USD | 2,617 million USD | 651.2 million USD | Singapore |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value us$, Peru or Singapore?
- Peru, at 2,247 million USD against 1,357 million USD in Singapore as of 2015.
- What is the difference in credit to agriculture — value us$ between Peru and Singapore?
- 890 million USD, with Peru ahead.
- How many years of comparable data are there for Peru and Singapore?
- 8 years are reported by both, from 2008 to 2015.
- How do Peru and Singapore rank globally for credit to agriculture — value us$?
- Peru ranks 11th and Singapore ranks 14th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value US$. 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.