Table 1

Descriptive statistics for school variables in the analysis (n = 879)

Percentage

Mean (SD)

Min

Max

Percentage Missing Prior to Imputation


Dichotomous variables

Retailersa

0

Fast Food

50.4

Convenience

28.6

Supermarket

23.8

School location

8.8

Non-urban

52.6

Urban

38.7

Continuous variables

Number of students per school

474.2 (229.6)

100

1486

0

% Overweight

30.7 (10.4)

3.0

75.4

0

% Male

50.9 (4.5)

26.6

81.0

0

% Female

49.1 (4.5)

19.0

73.4

0

% White, non-Hispanic

32.8 (25.6)

0

91.4

0

% Hispanic/Latino

45.2 (27.3)

1.6

100.0

0

% African-American

7.3 (9.4)

0

79.0

0

% Asian

12.0 (14.8)

0

86.8

0

% Native American

0.84 (1.4)

0

14.9

0

% Pacific Islander

0.7 (1.0)

0

8.6

0

% Declined to state ethnicity

1.5 (3.0)

0

45.7

0

% Free/reduced meals

42.1 (26.0)

0

100.0

6.4


a At least one such retailer within an 800 m network buffer.

Howard et al. BMC Public Health 2011 11:68   doi:10.1186/1471-2458-11-68

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