Table 1:
Characteristic | Non-manual labor workers | Miners | OGE workers | Other manual labor workers | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Unweighted frequency | Weighted percentage of sample population (%) | 95% CI | Unweighted frequency | Weighted percentage of sample population (%) | 95% CI | Unweighted frequency | Weighted percentage of sample population (%) | 95% CI | Unweighted frequency | Weighted percentage of sample population (%) | 95% CI | |
SEX | ||||||||||||
Male | 150,246 | 44.8 | 44.3, 45.2 | 902 | 97.6 | 96.1, 99.0 | 2,097 | 97.8 | 96.9, 98.7 | 71,480 | 85.9 | 85.3, 86.5 |
Female | 224,745 | 55.2 | 54.8, 55.7 | 39 | c | 1.0, 3.9 | 68 | 2.2 | 1.3, 3.1 | 13,503 | 14.1 | 13.5, 14.7 |
EDUCATION | ||||||||||||
< High school (H.S.) | 11,624 | 7.0 | 6.7, 7.2 | 57 | 12.6 | 7.4, 17.8 | 267 | 19.6 | 15.9, 23.3 | 9,773 | 22.0 | 21.2, 22.8 |
Graduated H.S. | 72,470 | 21.3 | 20.9, 21.6 | 487 | 58.6 | 47.7, 69.5 | 1,031 | 45.0 | 41.0, 48.9 | 36,748 | 39.8 | 39.0, 40.7 |
Attended or graduated college or technical school | 290,370 | 71.6 | 71.2, 72.0 | 394 | 28.8 | 20.6, 36.9 | 865 | 35.4 | 31.6, 39.3 | 38,285 | 38.0 | 37.1, 38.8 |
AGE (years) | ||||||||||||
18–34 | 72,957 | 31.9 | 31.5, 32.3 | 202 | 29.1 | 20.6, 37.6 | 657 | 39.8 | 35.8, 43.7 | 19,279 | 33.4 | 32.5, 34.3 |
35–54 | 158,097 | 44.3 | 43.9, 44.8 | 408 | 40.7 | 30.0, 51.4 | 933 | 44.0 | 40.0, 48.1 | 37,027 | 45.9 | 45.1, 46.8 |
≥55 | 143,968 | 23.7 | 23.4, 24.1 | 331 | 30.2 | 13.6, 46.8 | 575 | 16.3 | 13.9, 18.6 | 28,684 | 20.7 | 20.1, 21.3 |
RACE/ETHNICITY | ||||||||||||
Non-Hispanic white | 295,720 | 64.2 | 63.7, 64.6 | 781 | 84.0 | 78.5, 89.4 | 1,646 | 73.1 | 69.6, 76.7 | 61,860 | 56.3 | 55.4, 57.2 |
Non-white or Hispanic | 74,757 | 34.6 | 34.1, 35.1 | 141 | 14.3 | 9.2, 19.4 | 494 | 25.7 | 22.2, 29.2 | 21,985 | 42.5 | 42.5, 41.6 |
Participating states: AK, CA, CO, CT, FL, GA, HI, ID, IL, IA, LA, MD, MA, MI, MN, MS, MT, NE, NH, NJ, NM, NY, NC, ND, OR, TN, UT, VT, WA (state-added 2013), WV, WI, WY (state-added 2013)
Estimates do not always round to 100% because of rounding errors and missing responses
Estimate does not meet BRFSS precision guidelines for reporting