Table 2.
Smart Device Ownership Across Different Demographics
| Total | Owns a Smartphone | Owns a Wearable | |
|---|---|---|---|
| Gender | |||
| Male | 478 | 467 (98%) | 255 (53%) |
| Female | 871 | 857 (98%) | 538 (62%) |
| Chi-square (Degrees of Freedom [df]) | 0.82 (1) | 9 (1) | |
| P value | 0.37 | <0.01 | |
| Race/Ethnicity | |||
| White | 784 | 771 (98%) | 467 (60%) |
| Black | 390 | 382 (98%) | 219 (56%) |
| Asian | 60 | 57 (98%) | 36 (62%) |
| Hispanic | 78 | 70 | 47 (67%) |
| Chi-square (df) | 1.5 (3) | 3.6 (3) | |
| P value | 0.68 | 0.31 | |
| Generation (Age Group) | |||
| 18–25 | 24 | 24 (100%) | 17 (71%) |
| 26–41 | 176 | 176 (100%) | 122 (69%) |
| 42–57 | 460 | 458 (100%) | 300 (65%) |
| 58–76 | 579 | 570 (98%) | 313 (54%) |
| 77+ | 129 | 115 (89%) | 50 (39%) |
| Chi-square (df) | 68 (4) | 44 (4) | |
| P value | <0.0001 | <0.0001 | |
| Highest-Level of Education | |||
| Graduate degree | 515 | 510 (99%) | 318 (62%) |
| College graduate | 545 | 534 (98%) | 60 (60%) |
| Some college but no degree | 231 | 223 (97%) | 129 (56%) |
| High school graduate | 74 | 73 (99%) | 30 (41%) |
| Chi-square (df) | 5.7 (3) | 13 (3) | |
| P value | 0.12 | <0.01 | |
| Employment Status | |||
| Employed full-time | 630 | 627 (100%) | 405 (64%) |
| Employed part-time | 108 | 108 (100%) | 64 (59%) |
| Retired, not looking for work | 400 | 381 (95%) | 207 (52%) |
| Disabled, not able to work | 120 | 118 (98%) | 63 (53%) |
| Not employed, but looking for work | 41 | 41 (100%) | 25 (61%) |
| Not employed, not looking for work | 69 | 68 (99%) | 38 (55%) |
| Chi-square (df) | 28.3 (5) | 18.4 (5) | |
| P value | <0.0001 | <0.01 | |