Table 1.

Description of walking for transport at enrollment into HABITAT (2007) by age group, sex, education, occupation self-rated health, income and neighborhood preference.

Covariates	Total sample ($n$)	Minutes/week of walking ($\text{mean}\pm \text{SD}$)	Percentage who reported any walking
Age category
40–44 years	2,514	$37.5\pm 89.5$	38.4
45–49 years	2,382	$39.1\pm 92.0$	35.9
50–54 years	2,312	$34.1\pm 84.8$	33.5
55–59 years	2,080	$32.9\pm 80.4$	32.3
Over 60 years	1,731	$29.0\pm 81.1$	29.8
Missing	16
Sex
Male	4,849	$37.0\pm 88.0$	35.5
Female	6,186	$33.3\pm 84.6$	33.4
Missing	0
Education
High school only	4,311	$28.9\pm 79.9$	28.9
Certificate	1,952	$31.8\pm 84.6$	30.0
Diploma	1,268	$36.7\pm 89.6$	36.3
Bachelor’s	3,457	$43.7\pm 92.5$	43.1
Missing	47
Occupation
Manager/Professional	3,640	$35.3\pm 77.4$	38.2
White	2,385	$33.9\pm 73.3$	35.3
Blue	1,552	$25.6\pm 68.3$	25.7
Not in the labour force	2,644	$28.6\pm 70.8$	31.9
Missing	814
Household Income
$\text{Australian}\$0–\$\mathrm{25,999}$	1,044	$42.3\pm 105.1$	37.2
$\text{Australian}\$\mathrm{26,000}–\$\mathrm{41,599}$	1,188	$36.5\pm 98.5$	32.2
$\text{Australian}\$\mathrm{41,600}–\$\mathrm{72,799}$	2,438	$34.6\pm 76.7$	35.5
$\text{Australian}\$\mathrm{72,800}–\$\mathrm{129,999}$	2,845	$35.4\pm 82.6$	36.2
$\text{Australian}\$\mathrm{130,000.00}$	1,889	$35.4\pm 89.0$	34.9
Missing	1631
Self-rated health
Excellent/very good/good	8,981	$35.1\pm 85.4$	34.7
Fair/poor	1,950	$34.4\pm 89.8$	33.2
Missing	104
Choice of neighbourhood related to walkability
Tertile 1 (lowest preference)	3,189	$24.3\pm 70.5$	26.2
Tertile 2	3,189	$35.7\pm 91.6$	34.5
Tertile 3 (highest preference)	3,189	$45.6\pm 91.7$	44.2
Missing	1468
Area level socio-economic disadvantagea
Tertile 1 (High)	3,917	$39.0\pm 90.9$	39.0
Tertile 2	3,278	$34.5\pm 84.8$	35.8
Tertile 3 (Low)	3,840	$31.2\pm 82.1$	33.3
Missing	0

^aArea disadvantage was measured using the Australian Bureau of Statistics (ABS) Index of Relative Socio-economic Disadvantage (IRSD). This is widely used measure of disadvantage in Australia. The IRSD is calculated using Principal Component’s analyses of 17 variables that capture a wide range of socio-economic attributes including education, occupations, unemployment, household structure, and household tenure. Each Census Collector District was assigned a socioeconomic score based on its ABS derived IRSD for the matching survey year.