Rural-urban differences in employment-related health insurance

J Rural Health. 2005 Winter;21(1):21-30. doi: 10.1111/j.1748-0361.2005.tb00058.x.

Abstract

Context: Rural residents are disproportionately represented among the uninsured in the United States.

Purpose: We compared nonelderly adult residents in 3 types of nonmetropolitan areas with metropolitan workers to evaluate which characteristics contribute to lack of employment-related insurance. RESEARCH DESIGN AND ANALYSIS: Data were obtained from the Medical Expenditure Panel Survey, pooled across 3 panels (1996--1998) to enhance the rural sample size. Econometric decomposition was used to quantify the contribution of employment structure to differences in the probability of being offered employment-related health insurance.

Findings: The most rural workers are 10.4 percentage points less likely to be offered insurance compared with urban workers; the difference is smaller for residents of other rural areas. In rural counties not adjacent to urban areas, lower wages and smaller employers each account for about one-third of the total difference.

Conclusions: Health insurance disparities associated with rural residence are related to the structure of employment. Major factors include smaller employers, lower wages, greater prevalence of self-employment, and sociodemographic characteristics.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Chi-Square Distribution
  • Deductibles and Coinsurance / statistics & numerical data
  • Female
  • Health Benefit Plans, Employee / economics
  • Health Benefit Plans, Employee / statistics & numerical data*
  • Health Services Accessibility / economics
  • Health Services Accessibility / statistics & numerical data*
  • Humans
  • Insurance Benefits / economics
  • Insurance Benefits / statistics & numerical data
  • Male
  • Medically Uninsured / statistics & numerical data*
  • Middle Aged
  • Regression Analysis
  • Rural Population / statistics & numerical data*
  • Socioeconomic Factors
  • Time Factors
  • United States
  • Urban Population / statistics & numerical data*