Table 3.
Socio-demographic profiles of survey participants across neighbourhood activity centre types
| Covariate | Walkability | ||||
|---|---|---|---|---|---|
| Overall (n=19,984) N (%) |
High (HW) (n=757) N (%) |
Moderate (MW) (n=9,259) N (%) |
Low (LW) (n=9,968) N (%) |
||
| Sex | Male | 9,516 (47.6) | 361 (47.7) | 4,344 (46.9) | 4,811 (48.3) |
| Female | 10,468 (52.4) | 396 (52.3) | 4,915 (53.1) | 5.157 (51.7) | |
| Agea | 46.34 (17.1) | 43.13 (15.8) | 46.85 (17.6) | 46.10 (16.6) | |
| Studying | Yes | 2,179 (10.9) | 128 (16.9) | 1,097 (11.9) | 954 (9.6) * |
| No | 17,805 (89.1) | 629 (83.1) | 8,162 (88.2) | 9.014 (90.4) | |
| Occupation | Unemployed | 6,225 (31.2) | 194 (25.6) | 2,932 (31.7) | 3,099 (31.1)* |
| Casual work | 1,522 ( 7.6) | 54 ( 7.1) | 751 (8.1) | 717 (7.2) | |
| Part-time | 3,053 (15.3) | 115 (15.2) | 1,405 (15.2) | 1,533 (15.1) | |
| Full-time | 9,184 (46.0) | 394 (52.1) | 4,171 (45.1) | 4,619 (46.3) | |
| Household Structure | Couple with children | 7,755 (38.8) | 437 (57.7) | 3,867 (41.8) | 3,451 (34.6) * |
| Couple without children | 10,070 (50.1) | 195 (25.8) | 4,290 (46.3) | 5,585 (56.0) | |
| Other household structure | 2,159 (10.8) | 125 (16.5) | 1,102 (11.9) | 932 (9.4) | |
| Income | <$650 | 2,387 (11.9) | 102 (13.5) | 1,194 (12.9) | 1,091 (11.0) * |
| $650-$1099 | 3,227 (16.2) | 105 (13.9) | 1,443 (15.6) | 1,679 (16.8) | |
| $1200-$1949 | 3,724 (18.6) | 125 (16.5) | 1,584 (17.1) | 2,015 (20.2) | |
| $1950-$2499 | 4,357 (21.8) | 132 (17.4) | 1,890 (20.4) | 2,335 (23.4) | |
| $2500+ | 6,289 (31.5) | 293 (38.7) | 3,148 (34.0) | 2,848 (28.6) | |
| Own a motor vehicle | Do not own a motor | 946 ( 4.7) | 139 (18.4) | 609 ( 6.6) | 198 ( 2.00) * |
| Own a motor vehicle | 19,038 (95.3) | 618 (81.6) | 8,650 (93.4) | 9,770 (98.0) | |
| Area level disadvantage b | High | 5,545 (27.8) | 128 (16.9) | 2,535 (27.4) | 2,882 (28.9) * |
| Medium | 5,798 (29.0) | 124 (16.4) | 2,442 (26.4) | 3,232 (32.4) | |
| Low | 8,641 (43.2) | 505 (66.7) | 4,282 (46.3) | 3,854 (38.7) | |
* Statistical significance between clusters assessed using chi-squared tests for categorical variables and ANOVA for continuous variables: p<0.05
a Means and standard deviations presented
b Based on SEIFA IRSD deciles where 1-4 indicate higher levels of area based disadvantage, 5-7 is medium and 8-10 is low