Table 1.

SMEs’ demographic information

OccupationSOC codeNMale (%)White* (%)Mean ageWorking full time (%)Working part time (%)Retired (%)Occupational tenure 9+ years (%)
Financial manager11303040100421000050
Public school admin.1190301050704780101090
Management consultant131110757865486140100
Auditor/accountant132010450504610000100
Computer/IT analyst15112041001006750050100
Systems administrator151140501005380200100
Civil engineer17205054040371000080
Mechanical engineer17214035067**6700100
Environmental geologist192040301006767033100
Psychologist1930304250551000075
Counselor211010540100584060080
Social worker211020367674610000100
Lawyer231010301007133670100
Paralegal232010617100501000083
Middle school teacher25202068383431000083
Teacher assistant259040425100457525075
Designer2710208250478813088
Public relations273030863755288130100
Registered nurse291140450756250250100
Certified nursing assistant29205031001004510000100
Physical therapist3120203671005467033100
Correctional officer3330108636351880088
Security guard3390303671006310000100
Cook35201056060461000080
Server/wait staff3530303331005110000100
Pest control worker372020710086511000071
Grounds maintenance37301031001006310000100
Childcare worker39901031001004910000100
Sales professional411010425755810000100
Customer service rep.433050367676167330100
Administrative assistant436010683505510000100
Logger4540204500571000075
Automotive technician49302036705410000100
Steel fabricator51209047505510000100
Bus driver5330203330521000067
Total161526851878390

Notes:

*We asked participants to identify race. For brevity, here we report the percentage of white participants. Please contact the authors for more detail about the full racial composition of the SMEs. ** All three mechanical engineers left the age question blank

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