Gross Domestic Product — Value Standard Local Currency, 2015 prices in Peru

Peru: Gross Domestic Product — Value Standard Local Currency, 2015 prices was 729,563 million SLC in 2024. ◆ Volatile

Latest (2024)
729,563 million SLC
Change on year
up 3.3%
World rank
89th
of 194 countries
All-time high
729,563 million SLC
in 2024
All-time low
146,372 million SLC
in 1970
Years of data
55
1970–2024

Gross Domestic Product — Value Standard Local Currency, 2015 prices in Peru, 1970–2024

200.0k400.0k600.0k800.0k197019972024

Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.

Analysis

In 2024, gross domestic product — value standard local currency, 2015 prices in Peru stood at 729,563 million SLC. That is the highest value across all 55 years on record.

That represents a change of up 3.3% on the previous year and up 24.6% over ten years.

Over the whole period, gross domestic product — value standard local currency, 2015 prices in Peru peaked at 729,563 million SLC in 2024 and was at its lowest, 146,372 million SLC, in 1970.

Peru ranks 89th of 194 countries on this measure, in the middle of the range.

The series is highly variable year to year, so single readings are best treated with caution.

Gross Domestic Product — Value Standard Local Currency, 2015 prices in Peru, year by year

Annual values for Gross Domestic Product — Value Standard Local Currency, 2015 prices in Peru, 1970 to 2024.
Year million SLC Change
1970 146,372 million SLC
1971 153,091 million SLC +4.6%
1972 158,415 million SLC +3.5%
1973 168,359 million SLC +6.3%
1974 184,162 million SLC +9.4%
1975 192,083 million SLC +4.3%
1976 194,863 million SLC +1.4%
1977 195,543 million SLC +0.3%
1978 190,376 million SLC -2.6%
1979 198,163 million SLC +4.1%
1980 209,941 million SLC +5.9%
1981 221,597 million SLC +5.6%
1982 221,103 million SLC -0.2%
1983 198,091 million SLC -10.4%
1984 205,238 million SLC +3.6%
1985 209,469 million SLC +2.1%
1986 229,213 million SLC +9.4%
1987 251,507 million SLC +9.7%
1988 227,761 million SLC -9.4%
1989 199,719 million SLC -12.3%
1990 189,768 million SLC -5.0%
1991 193,979 million SLC +2.2%
1992 192,931 million SLC -0.5%
1993 203,047 million SLC +5.2%
1994 228,039 million SLC +12.3%
1995 244,940 million SLC +7.4%
1996 251,796 million SLC +2.8%
1997 268,104 million SLC +6.5%
1998 267,055 million SLC -0.4%
1999 271,047 million SLC +1.5%
2000 278,350 million SLC +2.7%
2001 280,070 million SLC +0.6%
2002 295,343 million SLC +5.5%
2003 307,645 million SLC +4.2%
2004 322,898 million SLC +5.0%
2005 343,193 million SLC +6.3%
2006 369,031 million SLC +7.5%
2007 400,467 million SLC +8.5%
2008 437,016 million SLC +9.1%
2009 441,804 million SLC +1.1%
2010 478,618 million SLC +8.3%
2011 508,901 million SLC +6.3%
2012 540,146 million SLC +6.1%
2013 571,758 million SLC +5.9%
2014 585,378 million SLC +2.4%
2015 604,416 million SLC +3.3%
2016 628,310 million SLC +4.0%
2017 644,137 million SLC +2.5%
2018 669,705 million SLC +4.0%
2019 684,710 million SLC +2.2%
2020 609,849 million SLC -10.9%
2021 691,296 million SLC +13.4%
2022 710,137 million SLC +2.7%
2023 706,230 million SLC -0.6%
2024 729,563 million SLC +3.3%

Averages by decade

DecadeAverage LowestHighest Years
1970s 178,143 million SLC 146,372 million SLC 198,163 million SLC 10
1980s 217,364 million SLC 198,091 million SLC 251,507 million SLC 10
1990s 231,071 million SLC 189,768 million SLC 271,047 million SLC 10
2000s 347,582 million SLC 278,350 million SLC 441,804 million SLC 10
2010s 591,608 million SLC 478,618 million SLC 684,710 million SLC 10
2020s 689,415 million SLC 609,849 million SLC 729,563 million SLC 5

Countries ranked near Peru

  1. 86 Mozambique 835,769 million SLC compare
  2. 87 Netherlands (Kingdom of the) 834,765 million SLC compare
  3. 88 Switzerland 780,597 million SLC compare
  4. 90 Djibouti 672,657 million SLC compare
  5. 91 North Macedonia 666,932 million SLC compare
  6. 92 Kyrgyzstan 666,448 million SLC compare

See the full ranking of 210 places →

More economy & growth data for Peru

All data for Peru →

Frequently asked questions

What is gross domestic product — value standard local currency, 2015 prices in Peru?
Gross domestic product — value standard local currency, 2015 prices in Peru was 729,563 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
What is the highest gross domestic product — value standard local currency, 2015 prices recorded in Peru?
The highest recorded value was 729,563 million SLC in 2024.
What is the lowest gross domestic product — value standard local currency, 2015 prices recorded in Peru?
The lowest recorded value was 146,372 million SLC in 1970.
How does Peru rank for gross domestic product — value standard local currency, 2015 prices?
Peru ranks 89th out of 194 countries with data for 2024.
Is gross domestic product — value standard local currency, 2015 prices rising or falling in Peru?
Over the last ten years it is up 24.6%. 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 Gross Domestic Product — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Domestic Product — Value Standard Local Currency, 2015 prices in Peru. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 02 September 2026, from https://economy.statizoid.com/stat/gross-domestic-product-value-standard-local-currency-2015-prices/peru/

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About this data

Indicator
Gross Domestic Product — Value Standard Local Currency, 2015 prices
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
210 places, 10,849 data points, 1970–2024
Last refreshed

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).