Gini coefficient (ratio)
Ohio - Summit

County

46.3

State

National

  • 36.9
  • 43.9
  • 50.4
Gini coefficient of household income inequality

Numerator

The area between the Lorenz curve and the line of equality

Population

The area below the line of equality

2010-2012 - Dimensions

  • Total

    46.3
    45.6
    47.0
    0
    Comparison of 83 Counties
    46.3
      Low: 36.9             High: 50.4

Historical Data

  • 2010-20122009-20112005-2007
    Total46.3
    45.6/47.0
    45.9
    45.1/46.7
    45.4
    /

Methodology

  • The Gini coefficient of income inequality represents the inequitable distribution of income in a community by household, and can range from 0 to 1. In the County Health Rankings, the Gini coefficient was multiplied by 100, so that the values can range between 0 and 100. A value of 100 indicates that all income in a county is concentrated in one household, while a coefficient of 0 indicates a completely equal distribution of income among households.
  • Confidence intervals provided for this indicator from 2006 on are 90% intervals.

  • Estimates of income inequality for sparsely populated states in 2005-2007 were calculated by Mark L. Burkey, Assistant Professor of Economics at NCA& T State University, Greensboro, NC. American Community Survey estimates of income inequality were used for the remaining states in 2005-2007 and for all other years of the data.

Data Source

American Community Survey (ACS)

The American Community Survey (ACS) is an annual nationwide survey designed to supplement the decennial census. The survey, based on the decennial census long form, produces population and housing information every year instead of every 10 years. Annual estimates of demographic, social, economic, and housing characteristics are available for geographic areas with a population of 65,000 or more. This includes the nation, all states, the District of Columbia, all congressional districts, approximately 800 counties, and 500 metropolitan and micropolitan statistical areas. Multi-year estimates are available for smaller geographic areas. During the demonstration stage (2000 to 2004), the U.S. Census Bureau carried out large-scale, nationwide surveys and produced reports for the nation, the states, and large geographic areas. The full implementation stage began in January 2005, with an annual housing unit (HU) sample of approximately 3 million addresses throughout the United States and 36,000 addresses in Puerto Rico. In 2006 approximately 20,000 group quarters were added to the ACS so that the data fully describe the characteristics of the population residing in geographic areas.Each year from 2005–2010, we selected approximately 2.9 million HU addresses in the U.S. and 36,000 HU addresses in Puerto Rico. Beginning in 2011, the following changes to the ACS sample designs were implemented:1)increased the housing unit sample in June 2011, bringing the size of the sample selected to 3.54 million addresses per year; 2)added several new housing unit sampling rates that better control the allocation of the sample and improve estimate reliability for small areas; 3)increased the follow-up sample to 100 percent in select geographic areas.

Data Source Methodology

For a detailed description of the survey methodology, please see: American Community Survey: Design and Methodology, January 2014. Available at: http://www.census.gov/acs/www/methodology/methodology_main

 
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