News Release

Neighborhoods in Herriman, Midvale, Murray, Salt Lake City, and South Jordan exhibit fastest growth in Salt Lake County since 2010

Salt Lake City (Jan. 28, 2016) – A new report released by the Kem C. Gardner Policy Institute provides estimates at the neighborhood-level of Salt Lake County’s growth and development since 2010. Utah’s largest county added approximately 62,000 people since the turn of the decade, a population roughly the size of South Jordan. Growth has been concentrated in the southwest, south-central and central areas of the county with neighborhoods in Herriman, Midvale, Murray, Salt Lake City, and South Jordan achieving the fastest rates of growth.

“Residential expansion and development in southern Salt Lake County is part of a larger regional economic growth dynamic that extends into northern Utah County,” said Dr. Pamela S. Perlich, director of demographic research at the Kem C. Gardner Policy Institute at The University of Utah.

The southwest, south-central, and central areas of the county contain the tracts with the highest amounts of population growth, mainly located in South Jordan, Herriman and Bluffdale. However, there are notable high growth tracts outside these cities, including areas of West Jordan and Midvale. The tracts with the highest percentage growth rates were more scattered. A few South Jordan and Herriman tracts are among these, but tracts in Midvale, Salt Lake City and Murray also demonstrate high rates of population growth.

The national census, conducted every 10 years, provides the most complete and accurate count of Utahns down to the neighborhood level. In the five years since the enumeration, however, the 2010 Census results have become dated as communities in Salt Lake County continue to evolve, with demographic and housing changes occurring unevenly throughout the valley. These estimates provide much-needed information about where changes have occurred since the 2010 data was collected.

Demographic estimates were produced by the Policy Institute using the housing unit method, which uses building permit and demolition data to infer changes in housing units. Housing construction indicates new households and population in the area. Because this method does not incorporate information about births or deaths, changes in household composition are not captured.

“Accurate population estima