Table 1

Basic information on road traffic crashes for migrant workers and the control group in Guangzhou from 2017 to 2021

VariableControl group (N=8559)Migrant worker
(N=25 223)
Total
(N=33 782)
Outcome
No injuries4474 (13.24%)11 950 (35.37%)16 424 (48.62%)
Injuries4085 (12.09%)13 273 (39.29%)17 358 (51.38%)
Human damage47.73%52.62%51.38%
Gender
Male6825 (20.20%)20 807 (61.59%)27 632 (81.80%)
Female1734 (5.13%)4416 (13.07%)6150 (18.20%)
Age (M±SE)38.48±17.7340.08±14.25/
Age group
0–191032 (3.05%)897 (2.66%)1929 (5.71%)
20–393635 (10.76%)12 488 (36.97%)16 123 (47.73%)
40–592755 (8.16%)9441 (27.95%)12 196 (36.10%)
≥60951 (2.82%)2397 (7.10%)3348 (9.91%)
Unknown186 (0.55%)0 (0.00%)186 (0.55%)
Region
Central urban2298 (6.80%)3136 (9.28%)5434 (16.09%)
Outer urban5651 (16.73%)20 713 (61.31%)26 364 (78.04%)
Highway610 (1.81%)1374 (4.07%)1984 (5.87%)
Road user
Pedestrian1025 (3.03%)2062 (6.10%)3087 (9.14%)
Pedal cyclist426 (1.26%)1002 (2.97%)1428 (4.23%)
Electric cyclist762 (2.26%)2215 (6.56%)2977 (8.81%)
Motorcyclist1659 (4.91%)7747 (22.93%)9406 (27.84%)
Four-wheeled vehicle occupant4424 (13.10%)11 950 (35.37%)16 374 (48.47%)
Others or unknown263 (0.78%)247 (0.73%)510 (1.51%)
Time
Day4076 (12.07%)11 410 (33.78%)15 486 (45.84%)
Nightfall or dawn192 (0.57%)689 (2.04%)881 (2.61%)
Night-time4291 (12.70%)13 124 (38.85%)17 415 (51.55%)
  • M, mean; N, number; SE, standard error.