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CDC – 2014 BRFSS Survey Data and Documentation
The 2014 BRFSS data continues to reflect the changes initially made in 2011 in weighting methodology (raking) and the addition of cell phone only respondents. The aggregate BRFSS combined landline and cell phone dataset is built from the landline and cell phone data submitted for 2014 and includes data for 50 states, the District of Columbia Guam, and Puerto Rico.
2014 BRFSS Overview [PDF – 162 KB]
Provides information on the background, design, data collection and processing, and the statistical, and analytical issues for the combined landline and cell phone data set.
2014 BRFSS Codebook [PDF – 2.74 MB]
Codebook for the file showing variable name, location, and frequency of values for all reporting areas combined for the combined landline and cell phone data set.
Calculated Variables in Data Files [PDF – 625 KB]
2014 Summary Data Quality Report with Response Rates [PDF – 662 KB]
Preparing 2014 BRFSS Module Data for Analysis [PDF – 289 KB]
BRFSS Combined Landline and Cell Phone Weighted Response Rates by State, 2014
Comparability of Data [PDF – 272 KB]
Comparability of data across reporting areas for the combined landline and cell phone data set. The BRFSS 2014 data is not directly comparable to years of BRFSS data before 2011 because of the changes in weighting methodology and the addition of the cell phone sampling frame.
BRFSS Modules Used by State
BRFSS Modules Used by Category
Arranged by state or by category for the combined landline and cell phone data set.
Summary Matrix of Calculated Variables (CV) in the 2014 Data File
2014 Weighting Formula [PDF – 386 KB]
There are 464,664 records for 2014. More information on participation is available in the states conducting surveillance, by year table. The data files are provided in ASCII and SAS Transport formats.
2014 BRFSS Data (ASCII) [ZIP – 51 MB]
Data released 2015
This file for the combined landline and cell phone data set is in ASCII format. It has a fixed record length of 2293 positions.
2014 BRFSS Data (SAS Transport Format) [ZIP – 69 MB]
Data released 2015
This file for the combined landline and cell phone data set was exported from SAS V8.2 in the XPT transport format. This file contains 279 variables. This format can be imported into SPSS or STATA. Please note: some of the variable labels get truncated in the process of converting to the XPT format so they may be slightly different from what is on the SASOUT14.SAS program.
Variable Layout
Format information on variable name by column position.
The combined Landline and Cellular Telephone Survey Multiple Questionnaire Version Data including Optional Modules
The Combined landline and cellular telephone multiple version questionnaire data sets contain the data from the states which conducted more than one version of their landline and cellular telephone survey questionnaires and used optional modules in 2014.
2014 BRFSS Landline Telephone Survey Data including Optional Modules
The BRFSS landline telephone survey data sets contain the data from the states, including data from optional modules in 2014 collected only on their landline telephone survey.
2014 BRFSS Landline Telephone Survey Multiple Questionnaire Version Data including Optional Modules
The multiple version questionnaire data sets contain the data from the states which conducted more than one version of their landline telephone questionnaire and used optional modules in 2014.
The following files are included for use with SAS software developed by SAS Institute, Inc. The SAS files are programs that can be read using any text editor. Save SAS files as plain text files.
Format14.sas [SAS – 531 KB]
SAS for Windows program used to generate the 2014 format library.
Formats14 [SAS7BCAT – 488 KB]
Format library used with the 2014 BRFSS SAS Data File.
SASOUT14_LLCP.SAS [SAS – 28 KB]
SAS for Windows program to convert the ASCII file into a SAS dataset.
TRANSPRT.SAS [SAS – 4 KB]
SAS for Windows program to convert the XPT (SAS Transport) file into a SAS dataset.
Formas14.sas [SAS – 52 KB]
SAS for Windows format assignment statements.