Food Preparation/Serving Food Preparation/Serving Gender: Male – 49.09% Age: 30-54 – 41.29% Race: White – 10.08 Race: White – 10.23% Disability: Not Disabled – 4.95 Race: Other – 64.29% Disability: Not Disabled – 22.35% Sales Age: 14-21 – 58.72% Sales Age: 30-54 – 18.18% Age: 30-54 – 2.60 Race: White – 13.64% Race: White – 12.27 Race: Other – 42.86% Race: Other – 2.25 Production Production Age: 14-21 – 60.55% Age: 22-29 – 62.86% Healthcare Healthcare Gender: Male – 10.67% Gender: Male – 6.08 Age: 14-21 – 35.88% Age: 14-21 – 4.44 Age: 55+ – 61.11% Race: White – 4.18 Race: American Indian – 75.00% Race: White – 56.25% Race: Other – 32.14% Disability: Disabled – 46.61% Protective Support Protective Support Age: 30-54 – 79.55% Age: 14-21 – 2.41 Disability: Not Disabled – 35.75% Construction/Extraction Construction / Extraction Age: 14-21 – 48.17% Age: 30-54 – 79.55% Disability: Not Disabled – 53.63% Management Occupations Management Occupations Age: 30-54 – 32.11% Business/Financial Operations Managers Business/Financial Operations Managers Age: 14-21 – 57.28% Computer/Mathematical Science Computer / Mathematical Science Disability: Not Disabled – 4.47% Disability: Not Disabled – 9.20% Possible adverse impact is indicated in both the 80% and standard deviation rules in the following: Personal Care/Service Gender: Male – 12.27% / 2.46
Food Preparation/Serving Gender: Male – 49.09% Age: 30-54 – 41.29% Race: White – 10.23% Race: Other – 64.29% Disability: Not Disabled – 22.35% Sales Age: 14-21 – 58.72% Age: 30-54 – 18.18% Race: White – 13.64% Race: Other – 42.86% Production Age: 14-21 – 60.55% Age: 22-29 – 62.86% Healthcare Gender: Male – 10.67% Age: 14-21 – 35.88% Age: 55+ – 61.11% Race: American Indian – 75.00% Race: White – 56.25% Race: Other – 32.14% Disability: Disabled – 46.61% Protective Support Age: 30-54 – 79.55% Disability: Not Disabled – 35.75% Construction/Extraction Age: 14-21 – 48.17% Age: 30-54 – 79.55% Disability: Not Disabled – 53.63% Management Occupations Age: 30-54 – 32.11% Business/Financial Operations Managers Age: 14-21 – 57.28% Computer/Mathematical Science Disability: Not Disabled – 4.47% Food Preparation/Serving Race: White – 10.08 Disability: Not Disabled – 4.95 Sales Age: 30-54 – 2.60 Race: White – 12.27 Race: Other – 2.25 Production Healthcare Gender: Male – 6.08 Age: 14-21 – 4.44 Race: White – 4.18 Protective Support Age: 14-21 – 2.41 Construction / Extraction Management Occupations Business/Financial Operations Managers Computer / Mathematical Science Disability: Not Disabled – 9.20% Possible adverse impact is indicated in both the 80% and standard deviation rules in the following: Personal Care/Service Gender: Male – 12.27% / 2.46
PY15-EO-Data-Analysis-rev-03-24-17.docx