Observations
2010: 4,991.55202 | 2005 International Dollars per Person, Not Seasonally Adjusted | Annual
Updated: Aug 31, 2012 2:17 PM CDT
Next Release Date: Not Available
Observations
2010: | 4,991.55202 | |
2009: | 4,933.93087 | |
2008: | 4,658.00009 | |
2007: | 4,298.34389 | |
2006: | 3,521.95133 | |
View All |
Units:
Frequency:
Write a custom formula to transform one or more series or combine two or more series.
You can begin by adding a series to combine with your existing series.
Now create a custom formula to combine or transform the series.
Need help?
For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.
Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.
Finally, you can change the units of your new series.
Add the minimum, maximum, and average calculations of selected lines to the graph
Data in this graph are copyrighted. Please review the copyright information in the series notes before sharing.
Notes
Source: University of Pennsylvania
Release: Penn World Table 7.1
Units: 2005 International Dollars per Person, Not Seasonally Adjusted
Frequency: Annual
Notes:
For more information and proper citation see http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1
Source Indicator: rgdpl2
Suggested Citation:
University of Pennsylvania, Purchasing Power Parity Converted GDP Per Capita (Laspeyres), derived from growth rates of domestic absorption for Angola [RGDPL2AOA625NUPN], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RGDPL2AOA625NUPN, March 11, 2025.
Release Tables
Permalink/Embed
modal open, choose link customization options
Select automatic updates to the data or a static time frame. All data are subject to revision.