Value Added (Agriculture) — Value US$, 2015 prices in Peru

Peru: Value Added (Agriculture) — Value US$, 2015 prices was 14,891 million USD in 2023. ▲ Rising

Latest (2023)
14,891 million USD
Change on year
down 2.0%
World rank
17th
of 82 countries
All-time high
15,202 million USD
in 2022
All-time low
8,991 million USD
in 2007
Years of data
17
2007–2023

Value Added (Agriculture) — Value US$, 2015 prices in Peru, 2007–2023

05.0k10.0k15.0k2007201520232007: 9.0k million USD2008: 9.9k million USD2009: 10.0k million USD2010: 10.1k million USD2011: 10.7k million USD2012: 11.4k million USD2013: 11.5k million USD2014: 11.7k million USD2015: 11.9k million USD2016: 12.3k million USD2017: 12.6k million USD2018: 13.3k million USD2019: 13.8k million USD2020: 14.0k million USD2021: 14.5k million USD2022: 15.2k million USD2023: 14.9k million USD

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

Analysis

In 2023, value added (agriculture) — value us$, 2015 prices in Peru stood at 14,891 million USD.

The figure is down 2.0% on the previous year and up 30.0% over ten years.

Over the whole period, value added (agriculture) — value us$, 2015 prices in Peru peaked at 15,202 million USD in 2022 and was at its lowest, 8,991 million USD, in 2007.

Peru ranks 17th of 82 countries on this measure, in the top quarter.

The long-run direction has been consistently rising across the 17 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
2000s 9,617 million USD 8,991 million USD 9,985 million USD 3
2010s 11,934 million USD 10,104 million USD 13,806 million USD 10
2020s 14,641 million USD 13,974 million USD 15,202 million USD 4

Countries ranked near Peru

  1. 14 Malaysia 22,145 million USD compare
  2. 15 Colombia 19,729 million USD compare
  3. 16 United Kingdom of Great Britain and Northern Ireland 15,990 million USD compare
  4. 18 Netherlands (Kingdom of the) 14,890 million USD compare
  5. 19 United Republic of Tanzania 14,716 million USD compare
  6. 20 Kenya 14,418 million USD compare

See the full ranking of 83 places →

More agriculture & rural data for Peru

All data for Peru →

Frequently asked questions

What is value added (agriculture) — value us$, 2015 prices in Peru?
Value added (agriculture) — value us$, 2015 prices in Peru was 14,891 million USD in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest value added (agriculture) — value us$, 2015 prices recorded in Peru?
The highest recorded value was 15,202 million USD in 2022.
What is the lowest value added (agriculture) — value us$, 2015 prices recorded in Peru?
The lowest recorded value was 8,991 million USD in 2007.
How does Peru rank for value added (agriculture) — value us$, 2015 prices?
Peru ranks 17th out of 82 countries with data for 2023.
Is value added (agriculture) — value us$, 2015 prices rising or falling in Peru?
Over the last ten years it is up 30.0%. 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 Value Added (Agriculture) — Value US$, 2015 prices. Statizoid updates them automatically from the source API.

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Value Added (Agriculture) — Value US$, 2015 prices in Peru. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 15 August 2026, from https://agriculture.statizoid.com/stat/value-added-agriculture-value-us-2015-prices/peru/

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About this data

Indicator
Value Added (Agriculture) — Value US$, 2015 prices
Unit
million USD
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
83 places, 1,678 data points, 1970–2023
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).