Overview of the Religidox Spiritual Dimensions
The Religidox is an analysis of the socioreligious propensities at census tract or larger geographies that combines several different sources to show religous affiliation and activity. The dataset began in 2007 through correlating survey data with marketing segmentations.
By 2014 the approach matured using several different sources to track affiliation, attendance, unreached status, spiritual-but-not-religious and the unaffiliated including both "dones" and "nones."
The dataset includes a hierarchical classification that groups similar religious groups together. The data continues to be cross-tabulated with market segmentation, social environments and the American Nations regional areas. The Evangelscape has been cross-tabulated against the Identitate Composite Segmentation -- a segmentation produced by Slavnik Labs that includes 64 lifestyle segments across 6 community types.
Religidox Variables by Religious Categories
The Religidox variables span across these 5 Religious Categories:
CT - Census Tracts
CO - County and County Subdivisions
ME - Metropolitan Statistical Areas
MI - Micropolitan Statistical Areas
PL - Place / Census Designated Place
ST - State
US - United States
ZI - ZIP Codes
BTA - Basic Trade Areas
MTA - Major Trade Areas
Input Data Sources
The Religidox dataset is derived from an extensive modeling effort (see more information under the "methodology" tab) using multiple data sources to create a unique socioreligious picture of communities. The dataset is updated annually using the most current data available. These preprocssing data sources include the following:
U.S. Census Bureau; American Community Survey, latest 5-Year Estimates, processed by Slavnik Labs.
Clifford Grammich, Kirk Hadaway, Richard Houseal, Dale E. Jones, Alexei Krindatch, Richie Stanley, and Richard H. Taylor. 2012. 2010 U.S. Religion Census: Religious Congregations & Membership Study. Association of Statisticians of American Religious Bodies.
InfoGroup; 2010 InfoGroup Religion Survey, processed by Slavnik Labs.
David Olson, TheAmericanChurch.org Church Attendance database.