Degree | Total | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
MD | 9151 | 655 | 809 | 713 | 708 | 805 | 925 | 1043 | 960 | 902 | 795 | 715 | 749 | 720 | 641 |
PhD | 12094 | 365 | 569 | 578 | 665 | 752 | 994 | 1085 | 1082 | 1736 | 1474 | 1288 | 1524 | 1435 | 1516 |
MD/PhD | 4490 | 287 | 343 | 336 | 387 | 436 | 492 | 474 | 450 | 461 | 459 | 375 | 389 | 347 | 294 |
Veterinarian | 646 | 33 | 66 | 63 | 46 | 49 | 58 | 64 | 50 | 59 | 40 | 45 | 52 | 33 | 32 |
Dentist | 282 | 25 | 12 | 32 | 26 | 25 | 22 | 32 | 40 | 28 | 22 | 23 | 24 | 19 | 13 |
Race/Ethnicity | |||||||||||||||
Asian | 5151 | 175 | 271 | 263 | 316 | 423 | 495 | 555 | 526 | 769 | 649 | 628 | 609 | 601 | 600 |
Black | 1096 | 50 | 74 | 62 | 83 | 77 | 118 | 134 | 132 | 141 | 127 | 107 | 118 | 111 | 108 |
Hispanic | 1362 | 57 | 85 | 82 | 73 | 111 | 124 | 133 | 146 | 183 | 155 | 142 | 148 | 136 | 159 |
Native** | 62 | * | * | * | * | * | * | * | * | * | * | * | * | * | * |
White | 16551 | 974 | 1212 | 1165 | 1228 | 1309 | 1552 | 1619 | 1566 | 1838 | 1639 | 1406 | 1506 | 1447 | 1415 |
Other | 241 | * | * | 16 | 16 | 20 | 19 | 23 | 27 | 26 | 34 | 28 | 38 | 32 | 42 |
Gender | |||||||||||||||
Female | 11270 | 435 | 646 | 649 | 764 | 861 | 1086 | 1192 | 1165 | 1352 | 1226 | 1082 | 1270 | 1298 | 1312 |
Male | 15507 | 886 | 1063 | 1019 | 1039 | 1173 | 1383 | 1479 | 1394 | 1797 | 1570 | 1380 | 1480 | 1477 | 1461 |
MD | |||||||||||||||
Female | 3511 | 184 | 264 | 226 | 246 | 288 | 372 | 432 | 415 | 369 | 345 | 306 | 344 | 359 | 318 |
Male | 5426 | 445 | 494 | 458 | 441 | 500 | 537 | 600 | 532 | 529 | 446 | 407 | 401 | 357 | 318 |
PhD | |||||||||||||||
Female | 5805 | 180 | 264 | 293 | 371 | 397 | 529 | 559 | 562 | 803 | 692 | 609 | 745 | 713 | 732 |
Male | 6046 | 171 | 273 | 263 | 280 | 340 | 451 | 501 | 501 | 890 | 772 | 674 | 762 | 714 | 763 |
MD/PhD | |||||||||||||||
Female | 1207 | 44 | 78 | 81 | 102 | 132 | 139 | 144 | 135 | 137 | 145 | 116 | 125 | 101 | 95 |
Male | 3221 | 237 | 256 | 249 | 280 | 296 | 347 | 327 | 312 | 318 | 313 | 257 | 262 | 243 | 198 |
Veterinarian | |||||||||||||||
Female | 332 | 18 | 30 | 35 | 30 | 27 | 27 | 34 | 24 | 21 | 22 | 24 | 28 | 18 | 20 |
Male | 298 | 14 | 31 | 27 | 14 | 20 | 31 | 28 | 25 | 38 | 18 | 21 | 24 | 15 | 11 |
Dentist | |||||||||||||||
Female | 113 | * | * | 12 | * | * | * | 14 | 19 | 15 | 12 | 15 | 13 | 11 | 7 |
Male | 161 | 18 | * | 18 | 17 | 15 | 14 | 17 | 21 | 12 | * | * | 11 | * | * |
+ The first K99 awards were made in 2007.
*Data suppressed to avoid the disclosure of confidential information. Series with three or more suppressed data points are not displayed on the corresponding graph.
**Native refers to American Indian, Alaska Native, and Native Hawaiian or other Pacific Islanders.