Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

Estimating Prevalence of Overweight or Obese Children and Adolescents in Small Geographic Areas Using Publicly Available Data

The northern area of Atlanta has lower prevalence estimates for children and adolescents who are overweight or obese, whereas some areas of the eastern, western, and southern parts of the city have higher prevalence estimates. There is also a band of high prevalence running southwest to northeast across the middle of the state.

Figure 1. Prevalence estimates of a high body mass index among children and adolescents aged 10 to 17 in census tracts in Georgia in 2010. The gray areas indicate areas with no population (eg, airports, parks).

Return to article

 

 

CountyCounty No.Estimated Prevalence of High Body Mass Index, %Estimated Number of Children with High Body Mass Index
Gwinnett1313533.1210,789
Fulton1312133.4194,766
Cobb1306732.9157,838
Dekalb1308934.6144,462
Clayton1306335.966,450
Henry1315133.654,486
Chatham1305134.552,468
Cherokee1305731.753,061
Hall1313935.344,691
Richmond1324535.543,417
Muscogee1321534.942,900
Forsyth1311730.548,578
Paulding1322332.838,912
Bibb1302135.835,524
Douglas1309734.333,807
Houston1315333.733,529
Coweta1307733.031,206
Columbia1307332.230,681
Whitfield1331336.726,179
Newton1321734.426,057
Fayette1311332.626,414
Carroll1304534.025,047
Bartow1301534.124,150
Lowndes1318534.423,613
Dougherty1309536.421,498
Floyd1311534.821,004
Rockdale1324735.120,669
Walton1329733.520,417
Clarke1305935.017,569
Glynn1312734.217,119
Barrow1301333.017,340
Liberty1317933.816,466
Troup1328534.815,975
Spalding1325535.314,403
Walker1329533.714,607
Jackson1315733.414,410
Catoosa1304732.614,422
Gordon1312934.913,281
Effingham1310333.313,551
Bulloch1303133.812,779


Figure 2.
The prevalence of high body mass index (BMI) in the 25% of counties (n = 39) in Georgia with the greatest estimated number of children and adolescents with high BMI. Of all children and adolescents with high BMI in Georgia, 77% reside in these 39 counties. These counties are strongly correlated with population centers. Gray areas indicate the other 75% of counties.

Return to article

 

 

CountyMinimum25th PercentileMedian75th PercentileMaximum
Clarke25.832.634.037.141.7
Fulton26.330.634.737.040.4
Dekalb26.931.335.136.339.9
Muscogee28.932.935.537.140.4
Richmond29.834.335.936.840.0
Bibb30.833.836.338.141.0
Chatham29.532.834.937.439.5
Gwinnett28.731.833.334.638.3
Liberty29.333.334.234.738.9
Cobb28.630.732.234.437.9
Houston28.732.434.135.037.6
Hall31.533.334.336.640.0
Whitfield33.234.435.638.441.0
Lowndes30.632.633.935.938.4
Spalding31.933.935.036.339.4
Greene32.635.936.537.839.9
Dougherty32.634.636.537.539.7
Forsyth27.629.331.332.334.5
Glynn30.332.133.536.037.1
Laurens33.533.835.436.339.8
Coweta29.732.232.533.235.8
Floyd31.933.534.237.038.0
Ware32.634.234.936.238.5
Chattahoochee28.629.331.133.034.4
Carroll32.533.534.234.638.1
Walton30.932.533.033.736.3
Troup32.133.534.636.237.4
Habersham32.332.934.135.037.5
Camden29.431.732.833.634.5
Rockdale33.533.934.636.038.6
Decatur34.135.336.737.239.1
Bulloch32.833.134.435.237.7
Tift33.233.935.636.738.0
Cherokee29.830.832.132.834.4
Peach33.334.736.937.637.9
Jackson30.832.533.534.035.3
Putnam33.234.434.837.137.7
Fayette30.431.632.333.734.8
Baldwin34.135.136.137.938.5
Columbia30.331.132.533.134.6
McDuffie33.935.636.036.637.8
Bryan30.631.432.133.134.6
Coffee34.235.335.435.838.1
Walker30.933.333.934.534.9
Lee31.632.933.533.735.5
Clayton33.835.235.936.537.7
Irwin32.733.734.635.636.6
Mitchell35.836.137.037.139.6
Paulding30.632.433.033.434.4
Tattnall34.735.735.836.238.4


Supplementary Figure.
Prevalence-estimate ranges across census tracts for the 50 counties in Georgia with the largest ranges. The vertical line in the middle of each box indicates the median; the left and right borders of the box represent the 25th and 75th percentiles, respectively; the right and left whiskers mark the minimum and maximum, respectively; the dots represent outliers as determined by 1.5 times the difference between the 25th and 75th percentiles.

Return to article

Top

The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.
Top