Credit to Agriculture, Forestry and Fishing — Share of Total Credit in Peru
Peru: Credit to Agriculture, Forestry and Fishing — Share of Total Credit was 3.83 % in 2015. ▼ Falling
Credit to Agriculture, Forestry and Fishing — Share of Total Credit in Peru, 2008–2015
Source: Food and Agriculture Organization of the United Nations. Measured in %.
Analysis
The most recent figure for credit to agriculture, forestry and fishing — share of total credit in Peru is 3.83 %, measured in 2015. That is the lowest value across all 8 years on record.
Compared with earlier readings it is down 6.4% on the previous year and down 11.6% over ten years.
That places Peru 52nd out of 119 countries with data for 2015, putting it in the middle of the range.
Credit to Agriculture, Forestry and Fishing — Share of Total Credit in Peru, year by year
| Year | % | Change |
|---|---|---|
| 2008 | 4.33 % | — |
| 2009 | 5.05 % | +16.6% |
| 2010 | 4.71 % | -6.6% |
| 2011 | 4.98 % | +5.6% |
| 2012 | 5.11 % | +2.7% |
| 2013 | 4.66 % | -8.9% |
| 2014 | 4.09 % | -12.2% |
| 2015 | 3.83 % | -6.4% |
Peru compared with similar countries
- Peru's 3.83 % is above the median for upper middle income countries, which is 2.26 %, 1.7× the median. (34 countries reporting)
- Peru's 3.83 % is above the median for Latin America & Caribbean, which is 2.54 %, 1.5× the median. (26 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 4.69 % | 4.33 % | 5.05 % | 2 |
| 2010s | 4.56 % | 3.83 % | 5.11 % | 6 |
Countries ranked near Peru
- 49 Republic of Korea 3.92 % compare
- 50 Benin 3.9 % compare
- 51 Kenya 3.86 % compare
- 53 Russian Federation 3.64 % compare
- 54 Afghanistan 3.57 % compare
- 55 Morocco 3.51 % compare
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)
- Nutrient potash K2O (total) — Agricultural Use, gaps filled 83,546 t (2024)
- Nutrient potash K2O (total) — Agricultural Use, annual growth rate 0 % change on previous year (2024)
- Country area — Area, annual growth rate 0 % change on previous year (2024)
- Country area — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Country area — Area, per capita 0.0038 1000 ha per person (2024)
Frequently asked questions
- What is credit to agriculture, forestry and fishing — share of total credit in Peru?
- Credit to agriculture, forestry and fishing — share of total credit in Peru was 3.83 % in 2015, according to Food and Agriculture Organization of the United Nations.
- What is the highest credit to agriculture, forestry and fishing — share of total credit recorded in Peru?
- The highest recorded value was 5.11 % in 2012.
- What is the lowest credit to agriculture, forestry and fishing — share of total credit recorded in Peru?
- The lowest recorded value was 3.83 % in 2015.
- How does Peru rank for credit to agriculture, forestry and fishing — share of total credit?
- Peru ranks 52nd out of 119 countries with data for 2015.
- Is credit to agriculture, forestry and fishing — share of total credit rising or falling in Peru?
- Over the last ten years it is down 11.6%. The long-run trend across the full record is falling.
- 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 — Share of Total Credit US$, 2015 prices. 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.