Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Peru
Peru: Gross Fixed Capital Formation — Value Standard Local Currency, 2015 was 162,141 million SLC in 2024. ◆ Volatile
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Peru, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
In 2024, gross fixed capital formation — value standard local currency, 2015 in Peru stood at 162,141 million SLC.
That represents a change of up 5.2% on the previous year and up 7.9% over ten years.
Over the whole period, gross fixed capital formation — value standard local currency, 2015 in Peru peaked at 163,476 million SLC in 2022 and was at its lowest, 17,210 million SLC, in 1970.
That places Peru 92nd out of 194 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.
Gross Fixed Capital Formation — Value Standard Local Currency, 2015 in Peru, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 17,210 million SLC | — |
| 1971 | 19,780 million SLC | +14.9% |
| 1972 | 18,632 million SLC | -5.8% |
| 1973 | 27,558 million SLC | +47.9% |
| 1974 | 36,777 million SLC | +33.5% |
| 1975 | 36,049 million SLC | -2.0% |
| 1976 | 31,258 million SLC | -13.3% |
| 1977 | 27,448 million SLC | -12.2% |
| 1978 | 25,466 million SLC | -7.2% |
| 1979 | 29,726 million SLC | +16.7% |
| 1980 | 40,653 million SLC | +36.8% |
| 1981 | 49,671 million SLC | +22.2% |
| 1982 | 46,301 million SLC | -6.8% |
| 1983 | 29,947 million SLC | -35.3% |
| 1984 | 28,153 million SLC | -6.0% |
| 1985 | 24,036 million SLC | -14.6% |
| 1986 | 31,196 million SLC | +29.8% |
| 1987 | 38,209 million SLC | +22.5% |
| 1988 | 33,636 million SLC | -12.0% |
| 1989 | 26,495 million SLC | -21.2% |
| 1990 | 26,653 million SLC | +0.6% |
| 1991 | 27,774 million SLC | +4.2% |
| 1992 | 28,126 million SLC | +1.3% |
| 1993 | 31,422 million SLC | +11.7% |
| 1994 | 41,798 million SLC | +33.0% |
| 1995 | 48,356 million SLC | +15.7% |
| 1996 | 46,982 million SLC | -2.8% |
| 1997 | 54,148 million SLC | +15.3% |
| 1998 | 53,511 million SLC | -1.2% |
| 1999 | 47,594 million SLC | -11.1% |
| 2000 | 45,142 million SLC | -5.2% |
| 2001 | 41,483 million SLC | -8.1% |
| 2002 | 41,686 million SLC | +0.5% |
| 2003 | 44,028 million SLC | +5.6% |
| 2004 | 47,271 million SLC | +7.4% |
| 2005 | 52,529 million SLC | +11.1% |
| 2006 | 62,441 million SLC | +18.9% |
| 2007 | 76,597 million SLC | +22.7% |
| 2008 | 97,905 million SLC | +27.8% |
| 2009 | 94,572 million SLC | -3.4% |
| 2010 | 115,259 million SLC | +21.9% |
| 2011 | 126,703 million SLC | +9.9% |
| 2012 | 145,568 million SLC | +14.9% |
| 2013 | 153,398 million SLC | +5.4% |
| 2014 | 150,312 million SLC | -2.0% |
| 2015 | 139,551 million SLC | -7.2% |
| 2016 | 133,321 million SLC | -4.5% |
| 2017 | 135,037 million SLC | +1.3% |
| 2018 | 141,458 million SLC | +4.8% |
| 2019 | 145,483 million SLC | +2.8% |
| 2020 | 122,212 million SLC | -16.0% |
| 2021 | 162,131 million SLC | +32.7% |
| 2022 | 163,476 million SLC | +0.8% |
| 2023 | 154,100 million SLC | -5.7% |
| 2024 | 162,141 million SLC | +5.2% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 26,990 million SLC | 17,210 million SLC | 36,777 million SLC | 10 |
| 1980s | 34,830 million SLC | 24,036 million SLC | 49,671 million SLC | 10 |
| 1990s | 40,636 million SLC | 26,653 million SLC | 54,148 million SLC | 10 |
| 2000s | 60,365 million SLC | 41,483 million SLC | 97,905 million SLC | 10 |
| 2010s | 138,609 million SLC | 115,259 million SLC | 153,398 million SLC | 10 |
| 2020s | 152,812 million SLC | 122,212 million SLC | 163,476 million SLC | 5 |
Countries ranked near Peru
- 89 Djibouti 172,839 million SLC compare
- 90 Netherlands (Kingdom of the) 169,643 million SLC compare
- 91 North Macedonia 163,590 million SLC compare
- 93 Honduras 149,001 million SLC compare
- 94 French Polynesia 139,750 million SLC compare
- 95 Singapore 132,460 million SLC compare
More economy & growth data for Peru
- Africa's Development Dynamics (AfDD) Table 04 - Annual real GDP 1.35 Percent per annum (2029)
- Africa's Development Dynamics (AfDD) Table 02 - Annual real GDP 2.3 Percent per annum (2029)
- GNI (current LCU), annual growth rate 7.94 % change on previous year (2025)
- GNI (current LCU), per unit of GDP 3.33 current LCU per US$ of GDP (2025)
- GNI (current LCU), per capita 32,204 current LCU per person (2025)
- Net primary income (Net income from abroad) (current US$), annual -34.01 % change on previous year (2025)
- Net primary income (Net income from abroad) (current LCU), annual -27.34 % change on previous year (2025)
- Taxes less subsidies on products (current US$), annual growth rate 5.75 % change on previous year (2024)
- Taxes less subsidies on products (current US$), per unit of GDP 0.0734 current US$ per US$ of GDP (2024)
- Taxes less subsidies on products (current US$), per capita 626.12 current US$ per person (2024)
Frequently asked questions
- What is gross fixed capital formation — value standard local currency, 2015 in Peru?
- Gross fixed capital formation — value standard local currency, 2015 in Peru was 162,141 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest gross fixed capital formation — value standard local currency, 2015 recorded in Peru?
- The highest recorded value was 163,476 million SLC in 2022.
- What is the lowest gross fixed capital formation — value standard local currency, 2015 recorded in Peru?
- The lowest recorded value was 17,210 million SLC in 1970.
- How does Peru rank for gross fixed capital formation — value standard local currency, 2015?
- Peru ranks 92nd out of 194 countries with data for 2024.
- Is gross fixed capital formation — value standard local currency, 2015 rising or falling in Peru?
- Over the last ten years it is up 7.9%. 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 Fixed Capital Formation — 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).