Table 1 Distribution of Socio-demographic characteristics of patients sampled. Table showing socio-demographic characteristics of patients sampled in SCALE IT and of the San Francisco population (2019).

From: Citywide serosurveillance of the initial SARS-CoV-2 outbreak in San Francisco using electronic health records

 

UCSF

(n = 3037)

ZSFG

(n = 1698)

Total sampled individuals

(n = 4735)

SF Population

(ACS 2019)

Sex

 Female

1733 (57.1%)

758 (44.6%)

2491 (52.6%)

49.3%

 Male

1302 (42.9%)

929 (54.7%)

2231 (47.1%)

50.8%

 Unknown

2 (0.1%)

11 (0.6%)

13 (0.3%)

N/A

Age

 0–19

246 (8.1%)

35 (2.1%)

281 (5.9%)

15.0%

 20–39

836 (27.5%)

425 (25.0%)

1261 (26.6%)

38.0%

 40–59

731 (24.1%)

591 (34.8%)

1322 (27.9%)

25.3%

 60–79

834 (27.5%)

556 (32.7%)

1390 (29.4%)

17.3%

 80+

390 (12.8%)

91 (5.4%)

481 (10.2%)

4.3%

Race/Ethnicity

 American Indian or Alaska Native

3 (0.1%)

9 (0.5%)

12 (0.3%)

0.3%

 Asian

783 (25.8%)

423 (24.9%)

1,206 (25.5%)

34.6%

 Black or African American

283 (9.3%)

308 (18.1%)

591 (12.5%)

5.2%

 Other

214 (7.0%)

73 (4.3%)

287 (6.1%)

4.5%

 Other Pacific Islander

28 (0.9%)

17 (1.0%)

45 (1.0%)

0.4%

 White

1317 (43.4%)

358 (21.1%)

1675 (35.4%)

39.8%

 Unknown or declined

43 (1.4%)

18 (1.1%)

61 (1.3%)

N/A

 Hispanica

366 (12.1%)

492 (29.0%)

858 (18.1%)

15.2%

Insurance type

 Uninsured

119 (3.9%)

150 (8.8%)

269 (5.7%)

N/A

 Government

1462 (48.1%)

1475 (86.9%)

2937 (62.0%)

N/A

 Private or employer

1351 (44.5%)

70 (4.1%)

1421 (30.0%)

N/A

 Unknown

105 (3.5%)

3 (0.2%)

108 (2.3%)

N/A

  1. aHispanic includes respondents of any race. Other categories are non-Hispanic.