Skip to main content
. 2014 Aug 13;180(6):626–635. doi: 10.1093/aje/kwu180

Table 1.

Selected Characteristics of 1,826 Block Faces in 4 US Cities Virtually Audited for Neighborhood Physical Disorder Using Google Street View Imagery Dating From 2007–2011

Characteristic Location
New York, NY (n = 532)
Philadelphia, PA (n = 503)
Detroit, MI (n = 502)
San Jose, CA (n = 289)
Overall (n = 1,826)
% Mean (SD) % Mean (SD) % Mean (SD) % Mean (SD) % Mean (SD)
High-resolution camera 66 42 67 88 64
Imagery recorded in 2009 or later 67 42 98 93 73
Time elapsed between image capture and block face audit, years 2.5 (1.7) 3.7 (0.8) 3.6 (0.4) 1.8 (0.7) 3.0 (1.3)
No. of Street View vantage points on block face 17.8 (11.6) 15.3 (12.2) 18.5 (9.8) 20.6 (12.9) 17.7 (11.6)
Proportion of vantage points obstructed 31 17 10 15 19
Distance from start of block face to end of block face, m 190 (119) 171 (136) 204 (105) 207 (129) 192 (123)
Prevalence of autosampled segments requiring manual adjustment 11 4 9 8 8

Abbreviations: CA, California; MI, Michigan; NY, New York; PA, Pennsylvania; SD, standard deviation.