The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality

Health Econ. 2005 Apr;14(4):429-32. doi: 10.1002/hec.953.


When the health sector variable whose inequality is being investigated is binary, the minimum and maximum possible values of the concentration index are equal to micro-1 and 1-micro, respectively, where micro is the mean of the variable in question. Thus as the mean increases, the range of the possible values of the concentration index shrinks, tending to zero as the mean tends to one and the concentration index tends to zero. Examples are presented on levels of and inequalities in immunization across 41 developing countries, and on changes in coverage and inequalities in selected countries.

MeSH terms

  • Data Interpretation, Statistical
  • Developing Countries
  • Health Services Accessibility / economics
  • Health Services Accessibility / statistics & numerical data
  • Health Surveys
  • Humans
  • Immunization Programs / economics*
  • Immunization Programs / statistics & numerical data*
  • Poverty / economics
  • Social Class
  • Socioeconomic Factors