RAND CAMS Data File 2001-2015 (v2), supported by NIA and SSA

The RAND CAMS Spending data is a user-friendly version of Part B of the CAMS survey. It contains annualized, cleaned, and aggregated spending and consumption variables with consistent and intuitive naming conventions across waves. Specifically, total household spending and household consumption are calculated across all categories and for these subsets of spending: nondurables, durables, housing and transportation. This data file can be easily merged to the RAND HRS and other HRS files as described in the data codebook. The RAND CAMS Version D data are based on 2001 (V3), 2003 (V2), 2005 (V1), 2007 (V1), 2009 (V1), 2011 (V2), 2013 (V2), and 2015 (V1) final data releases.

The National Institute on Aging (NIA) and the Social Security Administration (SSA) provided funding and support for the development of this file.

To access the data:

  • You must first register with HRS, if you haven't already. Registration is free. You will receive a password from HRS within 24 hours, usually much sooner. When you receive your password, you can return here to continue.
  • If you've already registered, login to the HRS Public File Download System.
  • Once you have logged in, follow the "Data Downloads" link and then the "RAND Contributed Files" link to RAND CAMS Data File (2015 v2).

For more detailed information, please see the documents:

Data Description (PDF Download from hrsonline.isr.umich.edu) Codebook (PDF Download from hrsonline.isr.umich.edu)

For more information, questions or comments please see our FAQ or email us at RANDHRSHelp@rand.org.

Before doing so, however, we kindly request that users first consult the documentation that accompanies our data products, as we have found that our responses often point users to specific sections of the documentation that provide further detail on the variables mentioned in the users’ queries.

In addition, we recommend that users become familiar with some of the information provided on the HRS website, such as the HRS questionnaires and codebooks for the key variables under study.

We have also found the concordance tool extremely useful to help find available variables across waves: