Table:
characteristic
total
employed, by occupation
unemployeda
not in labor forceb

total
s&e
s&e-related
non-s&e

all college graduates
61220000
48223000
6769000
8271000
33183000
1513000
11483000

men
28501000
23323000
4803000
3507000
15013000
889000
4554000

women
32719000
24900000
1966000
4764000
18170000
624000
6929000

highest degree of educational attainment

bachelor's
38866000
30131000
3846000
4338000
21946000
1088000
7647000

master's
16756000
13260000
2069000
2262000
8929000
348000
3149000

doctorate
2172000
1796000
786000
267000
743000
40000
336000

professional
3426000
3036000
67000
1404000
1565000
38000
352000

field of highest degree

s&e
18339000
14501000
5085000
1997000
7418000
509000
3330000

biological, agricultural, and environmental life sciences
2982000
2290000
633000
635000
1022000
71000
622000

computer and mathematical sciences
3087000
2567000
1437000
307000
823000
82000
439000

physical and related sciences
1024000
814000
366000
159000
289000
19000
191000

social and related sciences
7021000
5336000
679000
366000
4291000
211000
1474000

engineering
4225000
3494000
1970000
531000
993000
126000
605000

s&e-related fields
8383000
6870000
382000
4796000
1693000
168000
1345000

non-s&e fields
34497000
26852000
1301000
1479000
24072000
836000
6809000

u.s. military service

never served in the u.s. military
56485000
45123000
6351000
7701000
31071000
1406000
9956000

served only on active duty for training in the reserves or national guard
820000
498000
42000
105000
352000
19000
302000

serving now on active dutyc
241000
234000
18000
40000
177000
d
s

served on active duty in the past, but not now
3674000
2367000
358000
426000
1583000
85000
1221000

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<table border="1" cellspacing="0">
<tr> <td rowspan="2"> characteristic </td> <td rowspan="2"> total </td> <td colspan="4"> employed, by occupation </td> <td rowspan="2"> unemployeda </td> <td rowspan="2"> not in labor forceb </td> </tr>
<tr> <td> total </td> <td> s&amp;e </td> <td> s&amp;e-related </td> <td> non-s&amp;e </td> </tr>
<tr> <td> all college graduates </td> <td> 61220000 </td> <td> 48223000 </td> <td> 6769000 </td> <td> 8271000 </td> <td> 33183000 </td> <td> 1513000 </td> <td> 11483000 </td> </tr>
<tr> <td> men </td> <td> 28501000 </td> <td> 23323000 </td> <td> 4803000 </td> <td> 3507000 </td> <td> 15013000 </td> <td> 889000 </td> <td> 4554000 </td> </tr>
<tr> <td> women </td> <td> 32719000 </td> <td> 24900000 </td> <td> 1966000 </td> <td> 4764000 </td> <td> 18170000 </td> <td> 624000 </td> <td> 6929000 </td> </tr>
<tr> <td> highest degree of educational attainment </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> </tr>
<tr> <td> bachelor's </td> <td> 38866000 </td> <td> 30131000 </td> <td> 3846000 </td> <td> 4338000 </td> <td> 21946000 </td> <td> 1088000 </td> <td> 7647000 </td> </tr>
<tr> <td> master's </td> <td> 16756000 </td> <td> 13260000 </td> <td> 2069000 </td> <td> 2262000 </td> <td> 8929000 </td> <td> 348000 </td> <td> 3149000 </td> </tr>
<tr> <td> doctorate </td> <td> 2172000 </td> <td> 1796000 </td> <td> 786000 </td> <td> 267000 </td> <td> 743000 </td> <td> 40000 </td> <td> 336000 </td> </tr>
<tr> <td> professional </td> <td> 3426000 </td> <td> 3036000 </td> <td> 67000 </td> <td> 1404000 </td> <td> 1565000 </td> <td> 38000 </td> <td> 352000 </td> </tr>
<tr> <td> field of highest degree </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> </tr>
<tr> <td> s&amp;e </td> <td> 18339000 </td> <td> 14501000 </td> <td> 5085000 </td> <td> 1997000 </td> <td> 7418000 </td> <td> 509000 </td> <td> 3330000 </td> </tr>
<tr> <td> biological, agricultural, and environmental life sciences </td> <td> 2982000 </td> <td> 2290000 </td> <td> 633000 </td> <td> 635000 </td> <td> 1022000 </td> <td> 71000 </td> <td> 622000 </td> </tr>
<tr> <td> computer and mathematical sciences </td> <td> 3087000 </td> <td> 2567000 </td> <td> 1437000 </td> <td> 307000 </td> <td> 823000 </td> <td> 82000 </td> <td> 439000 </td> </tr>
<tr> <td> physical and related sciences </td> <td> 1024000 </td> <td> 814000 </td> <td> 366000 </td> <td> 159000 </td> <td> 289000 </td> <td> 19000 </td> <td> 191000 </td> </tr>
<tr> <td> social and related sciences </td> <td> 7021000 </td> <td> 5336000 </td> <td> 679000 </td> <td> 366000 </td> <td> 4291000 </td> <td> 211000 </td> <td> 1474000 </td> </tr>
<tr> <td> engineering </td> <td> 4225000 </td> <td> 3494000 </td> <td> 1970000 </td> <td> 531000 </td> <td> 993000 </td> <td> 126000 </td> <td> 605000 </td> </tr>
<tr> <td> s&amp;e-related fields </td> <td> 8383000 </td> <td> 6870000 </td> <td> 382000 </td> <td> 4796000 </td> <td> 1693000 </td> <td> 168000 </td> <td> 1345000 </td> </tr>
<tr> <td> non-s&amp;e fields </td> <td> 34497000 </td> <td> 26852000 </td> <td> 1301000 </td> <td> 1479000 </td> <td> 24072000 </td> <td> 836000 </td> <td> 6809000 </td> </tr>
<tr> <td> u.s. military service </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> <td>  </td> </tr>
<tr> <td> never served in the u.s. military </td> <td> 56485000 </td> <td> 45123000 </td> <td> 6351000 </td> <td> 7701000 </td> <td> 31071000 </td> <td> 1406000 </td> <td> 9956000 </td> </tr>
<tr> <td> served only on active duty for training in the reserves or national guard </td> <td> 820000 </td> <td> 498000 </td> <td> 42000 </td> <td> 105000 </td> <td> 352000 </td> <td> 19000 </td> <td> 302000 </td> </tr>
<tr> <td> serving now on active dutyc </td> <td> 241000 </td> <td> 234000 </td> <td> 18000 </td> <td> 40000 </td> <td> 177000 </td> <td> d </td> <td> s </td> </tr>
<tr> <td> served on active duty in the past, but not now </td> <td> 3674000 </td> <td> 2367000 </td> <td> 358000 </td> <td> 426000 </td> <td> 1583000 </td> <td> 85000 </td> <td> 1221000 </td> </tr>
</table>