Socioeconomic inequality of cancer mortality in the United States: a spatial data mining approach

Table 3 Descriptive statistics for selected socioeconomic variables used in the study. Except for unemployment rates that expressed as a percentage the rest of variables are proportion of their corresponding universe

Socioeconomic variable	Number of HSAs	Minimum	Maximum	Mean	Std. Deviation
White male householder with no wife present and with no own children under the age of 18 years.	804	0	0.03	0.00969	0.001735
Black female householder with no husband present and with presence of own children under the age of 18 years in the same household	804	0	0.13	0.01279	0.020477
Black female householder with no husband present and with no own children under the age of 18 years	804	0	0.08	0.00757	0.012746
Women who are never married	804	0.08	0.77	0.1991	0.060248
Women who are married and now living with their spouse	804	0.31	0.86	0.5731	0.064284
Women who are widowed	804	0.05	0.37	0.13571	0.03033
Women who are divorced	804	0.008	0.3	0.08327	0.025265
Population born in the south but now living elsewhere	804	0.004	0.38	0.08357	0.062408
Population working in the same county as residence	804	0.24	0.7	0.44745	0.077879
Households with complete plumbing facilities	804	0.64	0.99	0.97546	0.021435
Households with no plumbing facilities	804	0.001	0.35	0.01678	0.020128
Black female unemployment rate	804	0	100	11.93057	11.867286
Population employed in services industry	804	0	0.88	0.27529	0.078398
Population employed in agricultural – services industry	804	0	0.23	0.01511	0.01745
White with less education attainment	804	0.23	0.85	0.59597	0.097935
White with high educational attainment	804	0.14	0.76	0.39404	0.097948

ISSN: 1476-072X