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Table 1 Sample Characteristics of Floating Population Covered by Different Medical Insurance

From: Gap analysis on hospitalized health service utilization in floating population covered by different medical insurances: case study from Jiangsu Province, China

Variables MIUE(N = 6095) Other Inurances(N = 3924) No Insurance(N = 1981) Overall(N = 12,000)
Mean (SD) or % Mean (SD) or % Mean (SD) or % Mean (SD) or %
Age**, in years 33.82 (9.58) 32.02 (8.18) 32.09 (9.58) 32.95 (9.19)
Gender
 Male 57.29% 60.12% 55.83% 57.98%
 Female 42.71% 39.88% 44.17% 42.03%
Education level
 Primary school or less 17.51% 5.28% 17.01% 13.43%
 High school 76.19% 61.72% 74.56% 71.19%
 More than high school 6.30% 33.00% 8.43% 15.38%
Marriage
 Spinsterhood 17.10% 22.83% 26.86% 20.58%
 Married 82.90% 77.17% 73.14% 79.42%
Floating Area
 Interprovincial 70.75% 58.23% 73.35% 67.08%
 Inside province 29.25% 41.77% 26.65% 32.92%
Occupation
 Civil servant 0.36% 3.59% 0.30% 1.46%
 Manufacturing industry 52.67% 30.81% 56.60% 45.74%
 Business & Services 44.98% 64.70% 40.62% 51.11%
 Unemployed 1.99% 0.90% 2.48% 1.69%
Personal monthly income**, (1–3)
 lower than 600 dollars 50.66% 40.59% 54.78% 47.84%
 between 600 dollars and 1200 dollars 37.86% 45.86% 34.91% 40.15%
 over 1200 dollars 11.78% 13.55% 10.31% 12.01%
Family monthly income**, (1–3)
 lower than 800 dollars 35.64% 31.47% 44.78% 35.78%
 between 800 dollars and 1600 dollars, 51.50% 50.54% 43.97% 49.94%
 over 1600 dollars 12.86% 17.99% 11.25% 14.28%
  1. **: p < 0.001