CREC Project News and Updates

C2ER Releases 2016 Cost of Living Index for U.S. Counties

May 9, 2016

The Council for Community and Economic Research (C2ER) released the 2016 County Level Index.

The dataset includes 3,114 US counties based on an econometric model that identifies key determinants of an area’s cost of living. Supplemental publications include the 2016 State Level Index and the Cost of Living Adjusted (COLI) Median Household Income.

To purchase these publications, please visit the COLI Store. For additional information or any questions you may have, please contact Jennie Allison or call 703-522-4980.

C2ER produces the Cost of Living Index (COLI) to provide a useful and reasonably accurate measure to compare cost of living differences among urban areas. Items on which the Index is based have been carefully chosen to reflect the different categories of consumer expenditures. Weights assigned to relative costs are based on government survey data on expenditure patterns for mid-management households. All items are priced in each place at a specified time and according to standardized specifications

Founded in 1961, the Council for Community and Economic Research (C2ER) is a membership organization that promotes excellence in community and economic research by working to improve data availability, enhance data quality, and foster learning about regional economic analytic method

About This Project

Cost of Living Index
Start Date: Jan 2000 — End Date: Ongoing

The Cost of Living Index (COLI) is the most reliable source of city-to-city comparisons of key consumer costs available since 1968. Its data is recognized by the U.S. Census Bureau, U.S. Bureau of Labor Statistics, CNN Money, and the President’s Council of Economic Advisors. The Council for Community and Economic Research (C2ER) collects and compares COLI […]

About the Client

Council for Community and Economic Research

The Council for Community and Economic Research (C2ER) promotes excellence in community and economic research by improving data quality and availability by fostering learning about regional economic analytic methods.