Research Article

Prevalence and Social and Built Environmental Determinants of Maternal Prepregnancy Obesity in 68 Major Metropolitan Cities of the United States, 2013–2016

Table 2

Differentials in sociodemographic risk factors for prepregnancy obesity and overweight analyses among US women in 68 major cities, United States, 2013–2016 (N = 3,083,600).

City of residencePercentage of Asian/Pacific Islander populationPercentage of Black populationPercentage of Hispanic populationPercentage of population age <20 yearsPercentage of population age ≥35 yearsPercentage at parity 0 nulliparityPercentage of women with parity ≥4Percentage of unmarried mothersPercentage of foreign-born mothersPercentage of mothers with  < high schoolPercentage of college graduates

 Albuquerque, NM3.12.556.87.213.739.24.247.215.615.628.2
 Anaheim, CA14.62.465.16.618.737.25.041.449.322.821.8
 Anchorage, AK16.66.510.35.014.339.16.632.117.68.530.7
 Arlington, TX5.924.137.97.714.939.45.143.835.218.322.7
 Atlanta, GA6.051.913.36.020.041.26.851.122.717.043.2
 Aurora CO7.618.331.65.817.137.94.926.134.017.427.3
 Austin, TX8.57.743.95.921.342.84.535.433.319.842.3
 Baltimore, MD3.261.28.78.314.140.66.863.715.420.026.9
 Birmingham, AL2.460.08.07.311.738.55.157.511.815.527.8
 Boston, MA9.425.123.93.325.251.33.638.340.612.049.3
 Buffalo, NY6.639.713.89.911.839.17.965.317.123.820.0
 Charlotte, NC9.235.619.75.218.542.74.642.329.417.540.4
 Chicago, IL6.930.831.87.220.041.45.248.928.017.636.3
 Cincinnati, OH3.544.76.17.413.138.37.358.612.117.629.1
 Cleveland, OH2.358.411.611.49.136.58.477.18.926.410.6
 Colorado Springs, CO4.48.022.55.612.740.94.223.814.89.729.7
 Columbus, OH6.036.07.96.313.839.27.647.723.817.830.3
 Corpus Christi, TX2.23.268.710.511.536.75.553.911.018.717.5
 Dallas, TX4.223.250.59.315.244.25.151.337.724.322.8
 Denver, CO4.810.435.25.121.943.94.522.127.815.343.5
 Detroit, MI1.481.39.611.110.434.810.180.110.626.45.6
 El Paso, TX1.94.080.810.711.138.44.143.928.617.320.2
 Fort Worth, TX4.618.542.18.213.536.16.643.728.621.723.2
 Fresno, CA15.87.856.18.613.232.19.954.827.223.515.8
 Houston, TX7.721.952.28.115.838.05.747.344.529.325.1
 Indianapolis, IN4.531.014.28.311.939.86.854.018.922.125.8
 Jacksonville, FL5.537.210.25.913.439.25.347.817.612.525.3
 Kansas City, MO3.833.712.06.713.438.76.848.015.515.631.3
 Las Vegas, NV10.315.240.76.516.136.96.849.233.022.718.7
 Lexington, KY4.916.411.65.216.041.64.137.919.413.042.6
 Long Beach, CA14.413.352.75.919.641.04.849.132.419.725.7
 Los Angeles, CA9.48.561.16.123.140.25.048.846.225.326.9
 Louisville, KY3.627.35.78.012.543.94.447.812.712.732.5
 Memphis, TN1.971.510.211.110.034.79.171.912.022.716.1
 Mesa, AZ2.74.435.76.313.334.78.343.019.717.322.1
 Miami, FL1.232.655.55.519.342.54.558.360.914.219.7
 Milwaukee, MN6.548.420.69.311.934.29.867.017.722.717.4
 Minneapolis, MN7.830.412.04.521.341.98.739.931.020.343.7
 Nashville, TN4.730.014.75.914.740.84.441.526.618.835.4
 New Orleans, LA2.961.77.76.215.840.56.660.99.816.532.7
 New York, NY17.120.430.03.623.843.85.440.252.619.036.1
 Newark, NJ1.947.243.77.116.935.25.569.546.624.412.6
 Norfolk, VA3.846.69.26.410.142.55.846.410.710.522.3
 Oakland, CA19.221.531.24.327.946.03.740.638.319.038.4
 Oklahoma City, OK4.119.728.49.011.537.56.847.623.923.521.9
 Omaha, NE6.416.419.35.714.336.86.839.722.716.935.8
 Philadelphia, PA7.644.918.17.714.840.26.161.022.216.426.2
 Phoenix, AZ4.48.653.38.514.535.28.452.732.227.619.9
 Pittsburgh, PA4.234.02.35.215.544.54.552.58.78.440.3
 Portland, OR11.48.113.23.327.746.23.930.525.911.549.5
 Raleigh, NC5.330.418.24.520.643.04.136.326.114.246.8
 Riverside, CA5.55.265.46.714.836.45.944.729.620.619.0
 Sacramento, CA21.215.530.15.516.437.76.845.430.712.824.5
 San Antonio, TX3.46.868.09.113.036.66.446.720.220.021.1
 San Diego, CA18.66.736.03.822.945.23.228.037.39.245.1
 San Francisco, CA33.94.918.31.538.355.11.422.945.98.265.4
 San Jose, CA36.92.639.13.724.942.53.130.154.412.844.5
 Santa Ana, CA7.90.484.77.917.933.66.449.254.833.312.0
 Seattle, WA17.911.99.31.333.052.13.020.131.27.265.6
 St Louis, MO3.854.34.57.312.941.47.158.611.517.429.6
 St Paul, MN27.723.59.05.516.336.29.747.435.919.031.9
 Tampa, FL4.826.830.05.815.040.45.251.829.012.927.9
 Toledo, OH1.633.110.68.98.936.46.363.65.219.116.7
 Tulsa, OK4.819.521.38.711.535.76.650.722.526.020.3
 Tucson, AZ3.75.453.37.513.237.75.650.323.119.621.2
 Virginia Beach, VA6.822.110.03.215.442.53.129.414.33.835.8
 Washington, DC4.750.612.85.625.546.84.449.025.514.346.6
 Wichita, KS4.813.521.28.311.135.57.046.517.116.825.9

Source: Data derived from the 2013–2016 US National Natality data files.