Total Expenditure in Agricultural R&D (Standard Local Currency, 2015) in Peru

Peru: Total Expenditure in Agricultural R&D (Standard Local Currency, 2015) was 184.05 million SLC in 2020. ▲ Rising

Latest (2020)
184.05 million SLC
Change on year
down 22.3%
World rank
52nd
of 82 countries
All-time high
277.1 million SLC
in 2017
All-time low
99.02 million SLC
in 2007
Years of data
14
2007–2020

Total Expenditure in Agricultural R&D (Standard Local Currency, 2015) in Peru, 2007–2020

01002003002007201320202007: 99 million SLC2008: 108.9 million SLC2009: 130.3 million SLC2010: 106.9 million SLC2011: 105.4 million SLC2012: 102.5 million SLC2013: 122.1 million SLC2014: 129.4 million SLC2015: 253.3 million SLC2016: 248.5 million SLC2017: 277.1 million SLC2018: 227.7 million SLC2019: 236.9 million SLC2020: 184.1 million SLC

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

Analysis

The most recent figure for total expenditure in agricultural r&d (standard local currency, 2015) in Peru is 184.05 million SLC, measured in 2020.

Compared with earlier readings it is down 22.3% on the previous year and up 72.2% over ten years.

Over the whole period, total expenditure in agricultural r&d (standard local currency, 2015) in Peru peaked at 277.1 million SLC in 2017 and was at its lowest, 99.02 million SLC, in 2007.

Peru ranks 52nd of 82 countries on this measure, in the middle of the range.

The long-run direction has been consistently rising across the 14 years of available data.

Total Expenditure in Agricultural R&D (Standard Local Currency, 2015) in Peru, year by year

Annual values for Total Expenditure in Agricultural R&D (Standard Local Currency, 2015 prices) — Government, Higher Education and Private Non-profit (Agricultural Science and Technology) in Peru, 2007 to 2020.
Year million SLC Change
2007 99.02 million SLC
2008 108.94 million SLC +10.0%
2009 130.26 million SLC +19.6%
2010 106.89 million SLC -17.9%
2011 105.38 million SLC -1.4%
2012 102.55 million SLC -2.7%
2013 122.06 million SLC +19.0%
2014 129.43 million SLC +6.0%
2015 253.29 million SLC +95.7%
2016 248.46 million SLC -1.9%
2017 277.1 million SLC +11.5%
2018 227.71 million SLC -17.8%
2019 236.87 million SLC +4.0%
2020 184.05 million SLC -22.3%

Averages by decade

DecadeAverage LowestHighest Years
2000s 112.74 million SLC 99.02 million SLC 130.26 million SLC 3
2010s 180.97 million SLC 102.55 million SLC 277.1 million SLC 10
2020s 184.05 million SLC 184.05 million SLC 184.05 million SLC 1

Countries ranked near Peru

  1. 49 Dominican Republic 373.87 million SLC compare
  2. 50 Namibia 263.12 million SLC compare
  3. 51 Ghana 185.32 million SLC compare
  4. 53 Mauritania 177.68 million SLC compare
  5. 54 Nicaragua 121.75 million SLC compare
  6. 55 Honduras 121.09 million SLC compare

See the full ranking of 92 places →

More agriculture & rural data for Peru

All data for Peru →

Frequently asked questions

What is total expenditure in agricultural r&d (standard local currency, 2015) in Peru?
Total expenditure in agricultural r&d (standard local currency, 2015) in Peru was 184.05 million SLC in 2020, according to Food and Agriculture Organization of the United Nations.
What is the highest total expenditure in agricultural r&d (standard local currency, 2015) recorded in Peru?
The highest recorded value was 277.1 million SLC in 2017.
What is the lowest total expenditure in agricultural r&d (standard local currency, 2015) recorded in Peru?
The lowest recorded value was 99.02 million SLC in 2007.
How does Peru rank for total expenditure in agricultural r&d (standard local currency, 2015)?
Peru ranks 52nd out of 82 countries with data for 2020.
Is total expenditure in agricultural r&d (standard local currency, 2015) rising or falling in Peru?
Over the last ten years it is up 72.2%. 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 Total Expenditure in Agricultural R&D (Standard Local Currency, 2015 prices) — Government, Higher Education and Private Non-profit (Agricultural Science and Technology). Statizoid updates them automatically from the source API.

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Total Expenditure in Agricultural R&D (Standard Local Currency, 2015) in Peru. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 09 September 2026, from https://agriculture.statizoid.com/stat/total-expenditure-in-agricultural-r-and-d-standard-local-currency-2015-prices-total/peru/

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About this data

Indicator
Total Expenditure in Agricultural R&D (Standard Local Currency, 2015 prices) — Government, Higher Education and Private Non-profit (Agricultural Science and Technology)
Unit
million SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
92 places, 1,241 data points, 2004–2023
Last refreshed

The dataset contains a set of financial indicators describing national expenditures on agricultural research and development (R&D). The indicators are derived primarily from responses to the financial resources section of the ASTI questionnaire, complemented with selected external macroeconomic indicators required to ensure comparability across countries and over time.The dataset includes both directly reported financial aggregates and derived indicators, reflecting different dimensions of agricultural R&D investment. Reported expenditure data are collected in current local currency units (LCU) and refer to total institutional expenditures, as provided by national respondents. Coverage of the private for-profit sector remains limited and is therefore excluded from the dataset. To support temporal analysis and international comparability, expenditure indicators are also expressed in constant local currency units, using country-specific GDP deflators sourced from FAOSTAT. In addition, selected indicators relate agricultural R&D expenditures to key structural variables, such as agricultural value added, allowing for meaningful cross-country comparisons of research intensity and resource allocation.