Peru - Nominal Fixed Investment (gross fixed capital formation)





Peru: Nominal Fixed Investment (gross fixed capital formation)

Mnemonic IF.IPER
Unit NCU
Annual 2.24 %
Data 2017 141,992,000,000
2016 138,879,000,000

Series Information

Source The World Bank
Release World Development Indicators (WDI)
Frequency Annual
Start Date 12/31/1960
End Date 12/31/2017

Peru: GDP

Reference Last Previous Units Frequency
Investment Apr 2019 992.4 1,203 Mil. PEN, NSA Monthly
Government Consumption 2019 Q1 22,921 28,703 Mil. PEN, NSA Quarterly
Nominal Gross Domestic Product 2019 Q1 176,934 192,373 Mil. PEN, NSA Quarterly
Private Consumption 2019 Q1 116,164 116,273 Mil. PEN, NSA Quarterly
Real Gross Domestic Product Mar 2019 166.58 154.57 Index 2007=100, NSA Monthly
Real Government Consumption 2018 Q4 19,377 14,146 Mil. Ch. 2007 PEN, NSA Quarterly
Real Investment 2018 Q4 122,753 116,747 Mil. Ch. 2007 PEN, SAAR Quarterly
Real Private Consumption 2018 Q4 84,719 86,484 Mil. Ch. 2007 PEN, NSA Quarterly
Nominal Fixed Investment (gross fixed capital formation) 2017 141,992,000,000 138,879,000,000 NCU Annual
Real Fixed Investment (gross fixed capital formation) 2017 112,492,000,000 111,231,000,000 NCU Annual

Release Information

The World Bank Development Indicators is the premium annual statistics of the World Bank which compiles data on development. The WDI contains over 900 indicators per country and covers topics including BOP, business, demographics, external debt, education, tourism, tax, etc. Geo coverage is over 150 countries. Series are annual from as early as 1960.

In an attempt to create cross country comparable datasets the World Bank adopted strict methodologies for their quantitative analysis to create the World Development Indicators (WDI). These methods include using averages and growth rates to calculate the range of average, and least squares growth rates.

Income and regional totals are also estimated by identifying country classifications for socio-economic variables. Please note many developing countries have missing data. The WDI has also instituted grouping strategies for regions, income, and lending. This helps to maintain conditions when researching developing countries.

Many of the WDI concepts are shares or ratios based on a specific population. For these, the universe is expressed as the last phrase of the text-descriptor (prefaced with the word "As") and the unit-descriptor is reduced to "%", for example:

World development indicators: Account at a financial institution - Male - As pct. of ages 15+, (%)

Some of the concepts use standard measurements but non-standard unit-descriptors:

  • current US$
  • BOP, current US$
  • constant 2005 US%
  • annual % growth
  • current LCU
  • constant LCU
  • constant 2011 PPP

Many of the WDI concepts use specialized measurements outside the typical run of Data Buffet series, and require specialized unit-descriptor metadata. These include:

  • Metric tonne = (Ths. kg)
  • kt = (Mil. kg)
  • (million ton-km)
  • Percent change from 1990 = (% Y/1990)
  • Per 100 thousand population = (# per 100 Ths. pop.)
  • (% of GNI)
  • (1=yes; 0=no)
  • (1=low to 6=high)
  • (1=extremely inefficient to 7=extremely efficient)
  • (0=less disclosure to 10=more disclosure)
  • (SIPRI trend indicator values)

Data are updated at least once a year, with possible interim updates throughout the year. Revisions can be extensive and cover the entire history.

Previously available and published data can be removed by the World Bank if quality or integrity of the data is questioned. For more detail on what has been removed, revised and added please see the Revision history from from the World Bank.

ETC means that series includes any statistical discrepancy in the use of resources relative to the supply of resources.

Due to redistribution restrictions imposed on Moody's Analytics the series shown by the World Bank Restricted Data are not made extracted on Data Buffet.

New Labor Froce Survey Methodolog: http://www.ilo.org/ilostat-files/Documents/LFEP2017.pdf.