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KINDWORK
|
|
| Category | Frequency | Percentage | Cumulative Percentage | Z-Score |
|---|---|---|---|---|
| Professional worker, for example, lawyer, doctor, engineer | 200 | 9.9% | 9.9% | -1.59 |
| Other white collar, for example, teacher, nurse, accountant, worker in an office setting, sales worker | 461 | 22.7% | 32.6% | -.99 |
| Service worker such as police-man/woman, fireman, barber, beautician, nurses' aid | 290 | 14.3% | 46.9% | -.39 |
| Other type of work | 411 | 20.3% | 67.2% | .21 |
| Full-time homemaker | 229 | 11.3% | 78.5% | .81 |
| Not employed | 437 | 21.5% | 100% | 1.41 |
Variable Comparisons
Age (I-AGE)
| 18-29 years old | 30-44 years old | 45-59 years old | 60-74 years old | 75 years and older | TOTAL | |
|---|---|---|---|---|---|---|
| Professional worker, for example, lawyer, doctor, engineer | 6.1% 24 |
16.5% 119 |
10.7% 43 |
3.5% 13 |
0.8% 1 |
9.9% 200 |
| Other white collar, for example, teacher, nurse, accountant, worker in an office setting, sales worker | 24.8% 98 |
29.0% 209 |
26.9% 108 |
11.1% 41 |
2.3% 3 |
22.7% 459 |
| Service worker such as police-man/woman, fireman, barber, beautician, nurses' aid | 17.7% 70 |
16.6% 120 |
15.7% 63 |
8.9% 33 |
1.5% 2 |
14.3% 288 |
| Other type of work | 28.9% 114 |
22.9% 165 |
22.9% 92 |
8.7% 32 |
5.3% 7 |
20.3% 410 |
| Full-time homemaker | 10.4% 41 |
9.0% 65 |
11.7% 47 |
15.2% 56 |
13.0% 17 |
11.2% 226 |
| Not employed | 12.2% 48 |
6.0% 43 |
12.2% 49 |
52.6% 194 |
77.1% 101 |
21.6% 435 |
| TOTAL | 100.0% 395 |
100.0% 721 |
100.0% 402 |
100.0% 369 |
100.0% 131 |
2018 |
Church attendance (I-ATTEND)
| Never | Once a month or less | Once a week or less | Several times a week | TOTAL | |
|---|---|---|---|---|---|
| Professional worker, for example, lawyer, doctor, engineer | 11.5% 40 |
10.4% 66 |
9.9% 75 |
7.2% 19 |
10.0% 200 |
| Other white collar, for example, teacher, nurse, accountant, worker in an office setting, sales worker | 21.5% 75 |
23.1% 146 |
23.9% 180 |
20.8% 55 |
22.8% 456 |
| Service worker such as police-man/woman, fireman, barber, beautician, nurses' aid | 16.6% 58 |
15.3% 97 |
13.1% 99 |
12.1% 32 |
14.3% 286 |
| Other type of work | 23.5% 82 |
23.1% 146 |
17.9% 135 |
15.8% 42 |
20.2% 405 |
| Full-time homemaker | 7.2% 25 |
8.7% 55 |
12.2% 92 |
19.6% 52 |
11.2% 224 |
| Not employed | 19.8% 69 |
19.4% 123 |
22.9% 173 |
24.5% 65 |
21.5% 430 |
| TOTAL | 100.0% 349 |
100.0% 633 |
100.0% 754 |
100.0% 265 |
2001 |
Education (I-EDUC)
| Less than high school | High school graduate | Some college/trade/technical school | College graduate | TOTAL | |
|---|---|---|---|---|---|
| Professional worker, for example, lawyer, doctor, engineer | 1.7% 6 |
2.9% 19 |
7.0% 39 |
30.0% 135 |
9.9% 199 |
| Other white collar, for example, teacher, nurse, accountant, worker in an office setting, sales worker | 3.7% 13 |
17.4% 114 |
29.6% 166 |
36.9% 166 |
22.7% 459 |
| Service worker such as police-man/woman, fireman, barber, beautician, nurses' aid | 12.2% 43 |
18.4% 121 |
18.2% 102 |
5.1% 23 |
14.3% 289 |
| Other type of work | 27.3% 96 |
26.6% 175 |
18.8% 105 |
7.1% 32 |
20.2% 408 |
| Full-time homemaker | 15.1% 53 |
13.7% 90 |
9.3% 52 |
7.6% 34 |
11.3% 229 |
| Not employed | 40.1% 141 |
21.0% 138 |
17.1% 96 |
13.3% 60 |
21.5% 435 |
| TOTAL | 100.0% 352 |
100.0% 657 |
100.0% 560 |
100.0% 450 |
2019 |
Region (I-REGION)
| East | Midwest | South | West | TOTAL | |
|---|---|---|---|---|---|
| Professional worker, for example, lawyer, doctor, engineer | 11.3% 59 |
9.3% 51 |
7.2% 44 |
13.6% 46 |
9.9% 200 |
| Other white collar, for example, teacher, nurse, accountant, worker in an office setting, sales worker | 26.7% 140 |
20.9% 115 |
20.2% 124 |
24.2% 82 |
22.7% 461 |
| Service worker such as police-man/woman, fireman, barber, beautician, nurses' aid | 12.4% 65 |
14.7% 81 |
15.0% 92 |
15.3% 52 |
14.3% 290 |
| Other type of work | 18.3% 96 |
25.6% 141 |
19.8% 122 |
15.3% 52 |
20.3% 411 |
| Full-time homemaker | 13.9% 73 |
11.1% 61 |
8.5% 52 |
12.7% 43 |
11.3% 229 |
| Not employed | 17.4% 91 |
18.4% 101 |
29.4% 181 |
18.9% 64 |
21.5% 437 |
| TOTAL | 100.0% 524 |
100.0% 550 |
100.0% 615 |
100.0% 339 |
2028 |
Gender (I-GENDER)
| Male | Female | TOTAL | |
|---|---|---|---|
| Professional worker, for example, lawyer, doctor, engineer | 12.9% 128 |
6.3% 63 |
9.6% 191 |
| Other white collar, for example, teacher, nurse, accountant, worker in an office setting, sales worker | 16.7% 166 |
29.1% 290 |
22.9% 456 |
| Service worker such as police-man/woman, fireman, barber, beautician, nurses' aid | 19.0% 188 |
9.9% 99 |
14.4% 287 |
| Other type of work | 28.6% 284 |
11.7% 117 |
20.2% 401 |
| Full-time homemaker | 0.3% 3 |
22.2% 222 |
11.3% 225 |
| Not employed | 22.5% 223 |
20.7% 207 |
21.6% 430 |
| TOTAL | 100.0% 992 |
100.0% 998 |
1990 |
Religion (I-RELIGION)
| Protestant | Catholic | Jewish | Other | TOTAL | |
|---|---|---|---|---|---|
| Professional worker, for example, lawyer, doctor, engineer | 7.2% 78 |
10.4% 64 |
36.0% 18 |
10.3% 9 |
9.2% 169 |
| Other white collar, for example, teacher, nurse, accountant, worker in an office setting, sales worker | 21.8% 237 |
24.4% 151 |
24.0% 12 |
24.1% 21 |
22.9% 421 |
| Service worker such as police-man/woman, fireman, barber, beautician, nurses' aid | 14.7% 160 |
14.6% 90 |
2.0% 1 |
16.1% 14 |
14.4% 265 |
| Other type of work | 20.5% 222 |
18.9% 117 |
10.0% 5 |
20.7% 18 |
19.7% 362 |
| Full-time homemaker | 10.4% 113 |
13.8% 85 |
10.0% 5 |
12.6% 11 |
11.6% 214 |
| Not employed | 25.3% 275 |
18.0% 111 |
18.0% 9 |
16.1% 14 |
22.2% 409 |
| TOTAL | 100.0% 1085 |
100.0% 618 |
100.0% 50 |
100.0% 87 |
1840 |
