Credit to Agriculture, Forestry and Fishing — Value Standard Local in Peru
Peru: Credit to Agriculture, Forestry and Fishing — Value Standard Local was 8,443 million SLC in 2015. ▲ Rising
Credit to Agriculture, Forestry and Fishing — Value Standard Local in Peru, 2008–2015
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for credit to agriculture, forestry and fishing — value standard local in Peru is 8,443 million SLC, measured in 2015. That is the highest value across all 8 years on record.
That represents a change of up 8.0% on the previous year and up 120.4% over ten years.
That places Peru 63rd out of 118 countries with data for 2015, putting it in the middle of the range.
Credit to Agriculture, Forestry and Fishing — Value Standard Local in Peru, year by year
| Year | million SLC | Change |
|---|---|---|
| 2008 | 3,831 million SLC | — |
| 2009 | 4,507 million SLC | +17.6% |
| 2010 | 4,803 million SLC | +6.6% |
| 2011 | 6,196 million SLC | +29.0% |
| 2012 | 7,167 million SLC | +15.7% |
| 2013 | 7,808 million SLC | +8.9% |
| 2014 | 7,818 million SLC | +0.1% |
| 2015 | 8,443 million SLC | +8.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 4,169 million SLC | 3,831 million SLC | 4,507 million SLC | 2 |
| 2010s | 7,039 million SLC | 4,803 million SLC | 8,443 million SLC | 6 |
Countries ranked near Peru
More environment data for Peru
- Historical exposure to drought — Land soil moisture anomaly 0.4511 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 3.13 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.295 °C (2025)
- Temperature change 1.18 °C (2025)
- Sawnwood, non-coniferous — Production, annual growth rate 13.69 % change on previous year (2024)
- Sawnwood, non-coniferous — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Production, per capita 0.0223 m3 per person (2024)
- Sawnwood, non-coniferous — Import quantity, annual growth rate -88.2 % change on previous year (2024)
- Sawnwood, non-coniferous — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is credit to agriculture, forestry and fishing — value standard local in Peru?
- Credit to agriculture, forestry and fishing — value standard local in Peru was 8,443 million SLC in 2015, according to Food and Agriculture Organization of the United Nations.
- What is the highest credit to agriculture, forestry and fishing — value standard local recorded in Peru?
- The highest recorded value was 8,443 million SLC in 2015.
- What is the lowest credit to agriculture, forestry and fishing — value standard local recorded in Peru?
- The lowest recorded value was 3,831 million SLC in 2008.
- How does Peru rank for credit to agriculture, forestry and fishing — value standard local?
- Peru ranks 63rd out of 118 countries with data for 2015.
- Is credit to agriculture, forestry and fishing — value standard local rising or falling in Peru?
- Over the last ten years it is up 120.4%. The long-run trend across the full record is rising.
- Where does this Peru data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Credit to Agriculture, Forestry and Fishing — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 8 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.