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. 2019 Feb 18;22(10):1824–1838. doi: 10.1017/S1368980018004135

Table 2.

Characteristics of the sample of 8442 public schools in California, USA, in the 2015–16 school year, with urban v. rural differences

Total sample (n 8442; 100·0 %) Urban (n 7667; 90·8 %) Rural (n 775; 9·2 %)
Variable n % n % n % P §
School level
Elementary school 5478 64·9 4994 65·1 484 62·5
Middle school 1289 15·3 1196 15·6 93 12·0
High school 1537 18·2 1349 17·6 188 24·3
Other 137 1·6 127 1·7 10 1·3 <0·001
School size
≤399 students 2115 25·1 1597 20·8 518 66·9
400–699 students 3473 41·2 3290 42·9 183 23·6
700–999 students 1624 19·2 1572 20·5 52 6·7
≥1000 students 1227 14·5 1206 15·7 21 2·7 <0·001
Free or reduced-priced lunch eligibility
<50 % eligible 2718 32·2 2577 33·6 141 18·2
≥50 to <75 % eligible 2231 26·4 1927 25·1 304 39·2
≥75 % eligible 3493 41·4 3163 41·3 330 42·6 <0·001
Student race/ethnicity
>50 % White non-Latino 1618 19·2 1251 16·3 367 47·4
Other majority or diverse 6821 80·8 6414 83·7 407 52·6 <0·001
School-year breakfast participation rate (all price categories)
None or >0 to 10 % 938 11·1 874 11·4 64 8·3
>10 to 20 % 1194 14·1 1151 15·0 43 5·6
>20 to 30 % 3351 39·7 3046 39·7 305 39·4
>30 to 40 % 1078 12·8 967 12·6 111 14·3
>40 to 50 % 547 6·5 438 5·7 109 14·1
>50 to 60 % 275 3·3 220 2·9 55 7·1
>60 to 70 % 227 2·7 205 2·7 22 2·8
>70 to 80 % 363 4·3 341 4·5 22 2·8
>80 to 90 % 313 3·7 285 3·7 28 3·6
>90 to 100 % 156 1·9 140 1·8 16 2·1 <0·001
Mean sd Mean sd Mean sd
Student race/ethnicity
% of students White non-Latino 25·2 24·1 23·2 22·8 45·3 27·6 <0·001
% of students Black non-Latino 6·0 10·0 6·5 10·3 1·7 5·1 <0·001
% of students Latino (any race) 54·0 29·0 55·2 28·6 42·2 30·9 <0·001
Lunch, average daily participation rate (% of students) 52·5 23·3 52·1 23·3 56·1 22·0 <0·001
Number of summer sites, 1·6 km (1 mile) 1·9 3·0 2·0 3·1 0·7 1·1 <0·001
Number of summer sites, 16 km (10 miles) 100·0 141·7 108·8 144·9 3·5 6·0 <0·001

Includes urban or suburban.

Includes rural and township.

§

P values are for comparisons between urban and rural schools, using χ 2 test for categorical variables (top of table) or t test for continuous variables (bottom of table).