Residential segregation non-white/white (County Health Rankings)

Racial/ethnic residential segregation refers to the degree to which two or more groups live separately from one another in a geographic area. The index of dissimilarity is a demographic measure of the evenness with which two groups (non-white and white residents) are distributed across the component geographic areas (census tracts, in this case) that make up a larger area (counties, in this case). The index score can be interpreted as the percentage of white or non-white that would have to move to different geographic areas in order to produce a distribution that matches that of the larger area.

Measurement Period: 2011-2015
Value: 64

County

64

State

National

HP 2020

  • 14
  • 39
  • 64

learn more about the color range

Historical Data

  • Measurement Period Value
    2011-2015 64

Peer Counties

  • Peers included in this indicator: Monterey, CA; Stanislaus, CA; Tulare, CA; Denver, CO; Hampden, MA; Genesee, MI; Cumberland, NC; Lucas, OH; Mahoning, OH; Lane, OR; Cameron, TX; Nueces, TX;

  • 64
    • 14
    • 39
    • 64
  • Peer counties are those counties similar in population composition and selected demographics. Of the peer counties, only the ones that have data for the same indicator/time frame have been included.

    This county has 24 peer counties

    Peer counties (counties and county-like geographic areas) in stratum number 5 were stratified on the basis of the following factors: Frontier Status, Population Size, Poverty

    All Peer Counties for Mahoning

    Mobile, AL; Pulaski, AR; Monterey, CA; Stanislaus, CA; Tulare, CA; Denver, CO; Escambia, FL; Pasco, FL; Polk, FL; Volusia, FL; St. Clair, IL; East Baton Rouge, LA; Jefferson, LA; Orleans, LA; Hampden, MA; Genesee, MI; St. Louis city, MO; Cumberland, NC; Lucas, OH; Mahoning, OH; Lane, OR; Charleston, SC; Richland, SC; Cameron, TX; Nueces, TX;

Source

  • Data source: American Community Survey. Download source: County Health Rankings & Roadmaps (CHR&R). A program of the Robert Wood Johnson Foundation (RWJF) in collaboration between RWJF and the University of Wisconsin Population Health Institute.
    http://www.countyhealthrankings.org/rankings/data

 
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