Value Added (Agriculture, Forestry and Fishing) — Value Standard in Peru
Peru: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 55,350 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Peru, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value standard in Peru stood at 55,350 million SLC. That is the highest value across all 55 years on record.
That represents a change of up 5.9% on the previous year and up 35.1% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Peru peaked at 55,350 million SLC in 2024 and was at its lowest, 12,718 million SLC, in 1973.
That places Peru 81st out of 191 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Peru, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 13,913 million SLC | — |
| 1971 | 13,657 million SLC | -1.8% |
| 1972 | 12,833 million SLC | -6.0% |
| 1973 | 12,718 million SLC | -0.9% |
| 1974 | 13,344 million SLC | +4.9% |
| 1975 | 13,272 million SLC | -0.5% |
| 1976 | 13,556 million SLC | +2.1% |
| 1977 | 13,463 million SLC | -0.7% |
| 1978 | 13,415 million SLC | -0.4% |
| 1979 | 13,993 million SLC | +4.3% |
| 1980 | 13,096 million SLC | -6.4% |
| 1981 | 14,281 million SLC | +9.1% |
| 1982 | 14,704 million SLC | +3.0% |
| 1983 | 13,121 million SLC | -10.8% |
| 1984 | 14,674 million SLC | +11.8% |
| 1985 | 15,223 million SLC | +3.7% |
| 1986 | 16,160 million SLC | +6.2% |
| 1987 | 16,980 million SLC | +5.1% |
| 1988 | 18,314 million SLC | +7.9% |
| 1989 | 17,438 million SLC | -4.8% |
| 1990 | 16,319 million SLC | -6.4% |
| 1991 | 16,635 million SLC | +1.9% |
| 1992 | 15,617 million SLC | -6.1% |
| 1993 | 17,235 million SLC | +10.4% |
| 1994 | 19,804 million SLC | +14.9% |
| 1995 | 20,542 million SLC | +3.7% |
| 1996 | 21,707 million SLC | +5.7% |
| 1997 | 22,564 million SLC | +3.9% |
| 1998 | 22,410 million SLC | -0.7% |
| 1999 | 25,273 million SLC | +12.8% |
| 2000 | 27,052 million SLC | +7.0% |
| 2001 | 26,512 million SLC | -2.0% |
| 2002 | 27,799 million SLC | +4.9% |
| 2003 | 28,126 million SLC | +1.2% |
| 2004 | 28,897 million SLC | +2.7% |
| 2005 | 29,927 million SLC | +3.6% |
| 2006 | 32,428 million SLC | +8.4% |
| 2007 | 33,706 million SLC | +3.9% |
| 2008 | 36,217 million SLC | +7.4% |
| 2009 | 36,327 million SLC | +0.3% |
| 2010 | 36,683 million SLC | +1.0% |
| 2011 | 39,662 million SLC | +8.1% |
| 2012 | 40,365 million SLC | +1.8% |
| 2013 | 41,417 million SLC | +2.6% |
| 2014 | 40,966 million SLC | -1.1% |
| 2015 | 42,585 million SLC | +4.0% |
| 2016 | 43,326 million SLC | +1.7% |
| 2017 | 44,612 million SLC | +3.0% |
| 2018 | 48,909 million SLC | +9.6% |
| 2019 | 49,641 million SLC | +1.5% |
| 2020 | 50,122 million SLC | +1.0% |
| 2021 | 52,784 million SLC | +5.3% |
| 2022 | 54,394 million SLC | +3.1% |
| 2023 | 52,264 million SLC | -3.9% |
| 2024 | 55,350 million SLC | +5.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 13,416 million SLC | 12,718 million SLC | 13,993 million SLC | 10 |
| 1980s | 15,399 million SLC | 13,096 million SLC | 18,314 million SLC | 10 |
| 1990s | 19,810 million SLC | 15,617 million SLC | 25,273 million SLC | 10 |
| 2000s | 30,699 million SLC | 26,512 million SLC | 36,327 million SLC | 10 |
| 2010s | 42,816 million SLC | 36,683 million SLC | 49,641 million SLC | 10 |
| 2020s | 52,983 million SLC | 50,122 million SLC | 55,350 million SLC | 5 |
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)
- Paper and paperboard — Import quantity, annual growth rate 26.89 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0187 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 10.21 % change on previous year (2024)
- Paper and paperboard — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Peru?
- Value added (agriculture, forestry and fishing) — value standard in Peru was 55,350 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Peru?
- The highest recorded value was 55,350 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Peru?
- The lowest recorded value was 12,718 million SLC in 1973.
- How does Peru rank for value added (agriculture, forestry and fishing) — value standard?
- Peru ranks 81st out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Peru?
- Over the last ten years it is up 35.1%. The long-run trend across the full record is volatile.
- Where does this Peru data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).