Table 1.
Summary statistics for variables used in models exploring the counts of food retailers in participants’ activity spaces (presented in Tables 3 and 4)
| N | Minimum | P25 | Mean | P75 | Maximum | Median | sd | |
|---|---|---|---|---|---|---|---|---|
| Statistic | ||||||||
| Grocery store count (1 %) | 496 | 0 | 10 | 32·405 | 45 | 195 | 21 | 31·376 |
| Limited-service restaurant count (1 %) | 496 | 0 | 20 | 62·667 | 86 | 309 | 41 | 59·743 |
| Convenience store count (1 %) | 496 | 0 | 8 | 25·879 | 28·2 | 183 | 17 | 28·043 |
| Fruit & vegetable market count (1 %) | 496 | 0 | 1 | 5·226 | 8 | 32 | 2 | 6·101 |
| Grocery store count (10 %) | 496 | 0 | 2 | 9·960 | 13 | 105 | 5 | 12·364 |
| Limited-service restaurant count (10 %) | 496 | 0 | 5 | 18·204 | 19 | 178 | 9 | 26·909 |
| Convenience store count (10 %) | 496 | 0 | 2 | 8·766 | 9 | 90 | 4·5 | 12·439 |
| Fruit & vegetable market count (10 %) | 496 | 0 | 0 | 1·492 | 2 | 14 | 0 | 2·450 |
| Age | 483 | 16 | 18 | 21·700 | 25 | 30 | 21 | 3·892 |
| Self-reported health | 482 | 1 | 2 | 2·940 | 4 | 5 | 3 | 0·920 |
| N | Proportion=1 | |||||||
| Binary variable | ||||||||
| Food insecure | 479 | 0·065 | ||||||
| Sex (1=female) | 483 | 0·665 | ||||||
| Employed | 482 | 0·544 | ||||||
| More than high school education | 482 | 0·834 | ||||||
| Household food shopper | 460 | 0·615 | ||||||
| Montreal | 483 | 0·108 | ||||||
| Halifax | 483 | 0·238 | ||||||
| Edmonton | 483 | 0·145 | ||||||
| Vancouver | 483 | 0·219 |
P25, 25th percentile; P75, 75th percentile.
Participants were young urban adults (n 496) aged 16–30 years, a subset of respondents in the 2016 Canada Food Study (CFS).