IPUMS Online Data Analysis System

The IPUMS online analysis system uses high-speed tabulation software developed at UC-Berkeley's Computer-assisted Survey Methods Program.

After clicking one of the samples below, you will need to specify the following to create a table:

  • a row variable
  • a column variable (optional): will be cross-tabulated with the row variable
  • filters (optional): can be used to include only certain cases in your analysis
  • controls (optional): produces a separate table for each category of the specified variable

Examples and screenshots are available in our short instructions page, or see the video tutorial.

You can also perform other analyses, such as multivariate regression, correlation matrices, and comparisons of means. See the contextual help menus for more information.

Click on any of the links below to get started! Tables are made in approximately 5-15 seconds.

 

Use data from multiple samples
United States, 1850-2012 Puerto Rico, 1910-2012
ACS, 2001-2012
Analyses should include the "year" variable.
The U.S. file includes the single-year ACS samples and 1% versions of each decennial census,
including the 1970 Form 1 metro sample. The ACS file includes all single-year ACS samples.
Use data from a single sample
(makes tables more quickly)
1850 1% 1980 5% 2006-2008 3-year ACS
1860 1% 1990 5% 2009 ACS
1870 1% 2000 5% 2007-2009 3-year ACS
1880 10% 2001 ACS 2005-2009 5-year ACS
1900 5% 2002 ACS 2010 ACS
1910 1% 2003 ACS 2008-2010 3-year ACS
1920 1% 2004 ACS 2006-2010 5-year ACS
1930 5% 2005 ACS 2011 ACS
1940 1% 2006 ACS 2009-2011 3-year ACS
1950 1% 2007 ACS 2007-2011 5-year ACS
1960 1% 2005-2007 3-year ACS 2012 ACS
1970 1% (form 1) 2008 ACS 2010-2012 3-year ACS
1970 1% (form 2)

 

User Note: The IPUMS SDA system allows users to create their own variables using the "Create Variables" tab. These are not automatically removed when new versions of the IPUMS SDA samples are posted, and so created variables may be based on IPUMS data that are no longer valid. Users of created variables should pay attention to the revision history to note changes that have affected their variables and construct new variables accordingly. (The SDA dataset creation date can be found by clicking on the "Codebook" tab, while the date a user-created variable was made can be found in the list of created variables.)