Table 1. Characteristics of Health and Retirement Study Participants, 1992 to 2018.
Participant groupa | ||
---|---|---|
Black (n = 7339) | White (n = 26 162) | |
Age at study entry, mean (SD), y | 58.2 (6.1) | 59.6 (6.8) |
Sex | ||
Men | 2956 (45.3) | 11 750 (50.3) |
Women | 4383 (54.7) | 14 412 (49.7) |
Marital status | ||
Married or partnered at study entry | 3276 (48.0) | 16 760 (69.8) |
Unmarried | 4063 (50.2) | 9402 (30.2) |
Educational level | ||
Less than high school diploma | 2413 (30.0) | 4873 (14.7) |
GED or high school diploma | 3566 (49.8) | 14 205 (52.9) |
Some college | 432 (6.0) | 1359 (6.3) |
Bachelor’s degree | 600 (9.5) | 3568 (16.6) |
Graduate degree | 328 (4.7) | 2157 (9.5) |
No. of people in household, mean (SE) | 2.5 (0.02) | 2.4 (0.01) |
Income decile (range) | ||
1 (<$12 034) | 1445 (20.6) | 1582 (6.0) |
2 ($12 034-$18 974) | 1001 (12.8) | 2049 (5.0) |
3 ($18 975-$26 956) | 781 (10.1) | 2373 (7.8) |
4 ($26 957-$35 913) | 708 (8.6) | 2519 (8.2) |
5 ($35 914-$46 492) | 633 (9.2) | 2645 (9.1) |
6 ($46 493-$59 831) | 635 (8.6) | 2557 (8.9) |
7 ($59 832-$77 795) | 622 (8.6) | 2806 (10.7) |
8 ($77 796-$104 632) | 552 (7.9) | 2943 (11.9) |
9 ($104 633-$156 934) | 549 (7.5) | 3224 (14.2) |
10 (≥$156 935) | 413 (6.1) | 2464 (16.1) |
Wealth decile (range) | ||
1 (<$1234) | 1539 (22.7) | 1769 (7.3) |
2 ($1234-$24 437) | 1465 (21.0) | 1949 (7.4) |
3 ($24 438-$65 006) | 1119 (15.5) | 2208 (9.1) |
4 ($65 007-$116 068) | 870 (12.1) | 2461 (10.0) |
5 ($116 069-$182 538) | 657 (8.6) | 2630 (10.2) |
6 ($182 539-$273 594) | 524 (7.2) | 2626 (10.4) |
7 ($273 595-$409 042) | 374 (5.3) | 2811 (11.4) |
8 ($409 043-$635 181) | 240 (3.1) | 2806 (11.1) |
9 ($635 182-$1 861 188) | 181 (3.0) | 2840 (11.2) |
10 (≥$1 861 189) | 88 (1.5) | 2840 (12.0) |
Missing | 282 | 1222 |
Abbreviation: GED, General Educational Development.
Unless otherwise indicated, data are expressed as No. (%) of participants. All numerical values are unweighted; all means and percentages are weighted. Percentages are rounded and may not total 100. Income and wealth deciles were generated using the entire study population.