NHIS - 2009 Data Release

The missing data on family income and personal earnings in the 2009 NHIS were imputed using multiple-imputation methodology. Five ASCII data sets containing imputed values for the 2009 survey year are included in the compressed data file (INCMIMP.EXE), which can be downloaded via the Datasets link below. For analyses involving other variables in addition to family income or personal earnings, each set of imputed values can be merged with other data from the 2009 NHIS to create a single completed data set.

To increase the usability of NHIS income data, the 2009 NHIS imputed income files contain income dollar amount point estimates rather than income dollar intervals. Because respondent confidentiality must be balanced against providing more detailed information, the variables containing the dollar amounts for personal earnings and family income have been top-coded to the 95th percentile of the appropriate distribution. The 95th percentile was calculated separately for each of the 5 imputed family income/personal earnings datasets and then a weighted average of the 5 individual 95th percentile amounts was calculated. The weighted average was rounded to the nearest $1,000 and this weighted average was used to top-code all 5 supplemental imputed personal earnings and family income datasets. The same procedure was used for family income and personal earnings dollar amounts. For all observations which were top-coded, the family income or personal earnings dollar amounts were replaced with the top-coded value. Also, since the 1997 NHIS, poverty ratio intervals have been provided on the NHIS public-use data files. The poverty ratio is a ratio of the family’s income to the appropriate Federal poverty threshold. In the 2009 NHIS imputed income files, the Federal poverty ratio has been calculated using top-coded family income and the final calculated poverty ratio value is rounded to 2 decimal places. Note that all top-coded point estimates contained in the 2009 NHIS Imputed Family Income/Personal Earnings files are analogous to the top-coded point estimates contained in the 1997-2008 Supplemental Imputed Family Income/Personal Earnings files. No analogue of the 1997-2008 Imputed Family Income/Personal Earnings files (with categorical income data) was produced in 2009.

Multiple imputation is a technique that allows analysts to incorporate the extra variability due to imputation into their analyses. This is accomplished by analyzing EACH OF THE FIVE completed data sets separately using methods and software that are appropriate for survey data, and then combining the estimates and standard errors using the combining rules described in Section 2.2 and Appendix A of the document available via the Technical Documentation link below. The extra variability due to imputation CANNOT be incorporated by simply analyzing a SINGLE completed data set as if the imputed values were true values. Moreover, analysts SHOULD NOT create a single completed data set using the AVERAGE of the five sets of imputed values. Examples of correct data analyses using SAS-callable SUDAAN and SAS-callable IVEware are provided in Section 4 of the document available via the Technical Documentation link below; the document also provides information on the procedures used to create the imputations.

The Dataset Documentation link below opens to a document containing both the file layout description and the frequency counts (in the last page) of the variables in the data sets containing imputed values for the 2009 survey year. Users interested in data for several years should note that to date, multiple imputation has been carried out for the 1997-2009 NHIS, and that the file layout description is identical for years 1997-2003. Since 2004, there have been several changes to the imputed income file layout:

Beginning with 2004, the person number variable changed to FPX which is unique within each family.
For the years 2007-2008, variables names INCGRP_F, INCGRP_I, RAT_CATF, and ERNYRG_I changed to INCGRPF2, INCGRPI2, RATCATF2, and ERNYRGI2 respectively due to questionnaire and response category changes.
In 2009, the variables INCGRPF2, INCGRPI2, RATCATF2, RAT_CATI, and ERNYRGI2 were removed and the new variables FAMINCF2, TCINCM_F, FAMINCI2, POVRATI2, TCEARN_F, and ERNYR_I2 were added, replacing family income and personal earnings dollar amount intervals with dollar amount point estimates.

Users are also encouraged to check the NHIS website for updates and to subscribe to the NHIS Listserv to receive notices of any corrections/updates.

The 2009 NHIS Paradata File contains data about the NHIS data collection process. It may be used as a stand-alone data file or linked to the NHIS 2009 health data files.

The Paradata File Description Document gives an overview of the 2009 Paradata File, including information about the sample design, weighting, and variables found on the file. Appendix I of this Description Document contains an example of SAS code that can be used to link the 2009 Paradata File with the 2009 regular health data files.

An ASCII data set containing paradata for the 2009 survey year (PARADATA.EXE) can be downloaded via the Dataset link below.

Dataset documentation for the Paradata File consists of a variable summary, variable layout and variable frequencies. Sample input programs are also provided.

Users are encouraged to check the NHIS website for updates and to subscribe to the NHIS Listserv to receive notices of any corrections/updates.

The Disability Questions Tests 2008/2009 file contains five calendar quarters of person-level data collected via a field test of six disability questions. The questions appeared on the NHIS, at the end of the Family Core, beginning in October 2008 and running through December 2009. Conducted using a split-ballot format, the field test comprised one component of a larger testing effort to develop and adopt a standard set of disability questions to be used with multiple surveys across multiple countries.

2009 Data Release

These resources from past NHIS years are available for use by researchers, analysts, and others. For more recent study years, visit the NHIS website: https://www.cdc.gov/nchs/nhis/