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. 2019 Nov 15;2:100014. doi: 10.1016/j.conx.2019.100014

Table 1.

Percentage of women at risk of pregnancy, aged 18–44, using contraception, by health insurance coverage and household income, BRFSS 2017

Among all women at risk of pregnancy (%) Insured (%)
Uninsured (%)
All Low income Medium income High income All Low income Medium income High income
Kentucky 55 55 52 57 63 - - - -
Delaware 56 56 54 63 48 58 72 - -
Arizona 58 60 61 58 64 51 50 - -
Hawaii 59 60 59 63 54 - - - -
Ohio 59 61 61 59 62 37** - - -
Texas 59 60 66 48 63 57 56 - -
Illinois 59 61 66 56 - - - - -
Nevada 60 60 55 67 - - - - -
Idaho 61 65 68 62 - 49 47* - -
Nebraska 61 62 62 63 - 56 54 - -
Mississippi 62 60 55 65 - 66 - - -
Missouri 62 65 65 60 77 50* 53 - -
Wisconsin 62 61 66 56 62 - - - -
Georgia 62 64 75 58 61 54 57* - -
Louisiana 62 66 63 67 - - - - -
Florida 63 67 67 68 65 50** 55 47 -
Connecticut 63 64 59 64 77 - - - -
West Virginia 63 64 66 61 - - - - -
Minnesota 63 64 57 64 70 52* 49 - -
Kansas 63 64 67 61 61 61 62 - -
Oklahoma 63 63 64 58 - - - - -
Indiana 64 65 65 64 70 55 63 - -
Utah 64 64 63 65 67 62 62 - -
District of Columbia 64 65 60 69 68 - - - -
Wyoming 64 65 69 63 63 60 - - -
Alabama 64 66 72 58 - 58 58 - -
Iowa 65 64 67 61 65 65 - - -
Puerto Rico 65 65 65 59 - - - - -
Maryland 65 67 66 62 80 - - - -
Oregon 66 66 68 62 73 - - - -
North Carolina 66 66 64 68 63 65 67 - -
New Jersey 66 67 69 64 68 63 64 - -
South Carolina 66 67 67 68 67 61 70 - -
Virginia 67 67 71 63 68 63 71 - -
New York 67 66 64 66 73 73 71 - -
Massachusetts 67 67 66 67 69 - - - -
South Dakota 67 66 65 63 78 79 - - -
California 68 68 65 70 76 71 71 - -
New Mexico 69 69 70 64 - 71 71 - -
Alaska 70 70 60 77 - - - - -
Pennsylvania 71 71 66 74 75 - - - -
Maine 72 71 73 68 - - - - -
Total 64 65 65 64 68 59*** 61* 55 48

Notes: Simple logistic regression models testing significance of differences in contraceptive use between insured and uninsured individuals, overall and low income, were run for jurisdictions with income data available for at least 50 individuals per jurisdiction. For jurisdictions with less than 50 individuals who were contraceptive users within certain income and insurance categories, we suppressed model results given the instability of calculations using such small numbers. For the two simple logistic regression models testing significance of difference in contraceptive use between insured and uninsured individuals, overall and low income, across jurisdictions, women in all jurisdictions were included in these models. ***p < .001, **p < .01, *p < .05.