Skip Navigation
 

Physician-Scientist Workforce (PSW) Report 2014

Appendix IV: Physician-Scientists Workforce Data

A4-4: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG by Degree, Race/Ethnicity and Gender (Fiscal Years 1999 - 2012)

Degree Total 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
MD 6556 1324 1413 1512 1570 1699 1940 1993 2112 2088 2093 2080 2261 2446 2620
PhD 25374 5218 5504 5634 5899 6652 7667 8281 8718 8961 9253 9158 9940 10665 11128
MD/PhD 6093 1431 1544 1564 1716 1846 2189 2243 2365 2364 2422 2413 2622 2790 2961
Veterinarian 357 83 90 81 90 110 109 123 138 128 131 138 147 139 155
Dentist 304 74 82 73 76 85 95 98 89 95 101 95 102 102 110
Other 38 * * * * * * * * * * * * 17 18
Race/Ethnicity
Asian 5633 922 1029 1126 1309 1519 1866 2025 2232 2340 2552 2568 2836 3003 3164
Black 467 73 83 92 103 106 130 144 154 155 151 172 209 227 235
Hispanic 1210 205 209 234 262 300 319 363 396 416 450 448 514 558 583
Native** 56 13 11 16 15 20 17 19 17 * 14 15 19 21 20
White 30521 6817 7210 7292 7559 8356 9553 10051 10490 10574 10637 10462 11201 12011 12595
Gender
Female 10779 1865 2004 2139 2329 2607 3019 3348 3561 3640 3887 3970 4299 4650 4862
Male 27901 6247 6620 6718 7022 7784 8989 9397 9867 10005 10124 9926 10784 11514 12131
Age (6 Age Groups)
30 or less   14 * * * 11 13 * 15 13 * * * * *
31-40   1233 1256 1178 1226 1321 1509 1482 1444 1503 1503 1418 1396 1347 1303
41-50   3814 4052 4113 4252 4564 5079 5195 5440 5337 5218 4987 5128 5393 5446
51-60   2228 2420 2581 2867 3226 3774 4197 4473 4550 4733 4760 5273 5671 6079
61-70   515 559 643 676 875 1131 1281 1404 1496 1738 1846 2203 2580 2843
71+   74 98 104 112 151 154 193 195 224 246 273 364 416 487
MD
Female 1459 203 219 249 275 331 382 424 461 480 487 498 532 608 663
Male 5086 1117 1193 1262 1293 1368 1558 1568 1651 1608 1606 1582 1729 1838 1956
PhD
Female 8012 1430 1507 1596 1719 1909 2222 2481 2638 2690 2891 2941 3171 3431 3539
Male 17299 3773 3986 4025 4177 4739 5444 5799 6077 6269 6360 6213 6762 7226 7577
MD/PhD
Female 1108 206 246 262 292 321 369 392 406 414 444 474 522 540 575
Male 4979 1223 1297 1301 1423 1525 1819 1850 1958 1950 1978 1939 2099 2250 2386
Veterinarian
Female 91 17 18 18 23 25 24 26 36 37 31 30 32 30 41
Male 266 66 72 63 67 85 85 97 102 91 100 108 115 109 114
Dentist
Female 81 9 13 13 17 21 19 20 17 17 31 22 34 32 34
Male 222 64 69 60 59 64 76 78 72 78 70 73 68 70 76
MD
30 or less   0 * 0 0 0 0 0 0 0 0 0 0 0 0
31-40   124 128 121 129 128 126 124 118 117 97 105 97 99 111
41-50   654 703 722 742 797 888 873 900 808 823 740 710 773 764
51-60   346 364 422 471 505 586 658 721 753 777 799 907 950 1012
61-70   125 131 148 139 183 222 203 240 256 261 269 326 371 469
71+   22 33 29 33 31 46 51 56 62 54 77 103 111 110
PhD
30 or less   13 * * * * 12 * 15 13 * * * * *
31-40   869 904 880 914 999 1195 1190 1189 1260 1276 1202 1189 1153 1102
41-50   2381 2484 2494 2549 2757 3010 3161 3316 3355 3278 3209 3394 3618 3661
51-60   1494 1629 1717 1873 2135 2486 2770 2890 2918 3010 2977 3268 3473 3710
61-70   271 305 360 399 533 687 832 928 986 1180 1249 1466 1749 1866
71+   34 39 49 45 81 78 90 92 106 134 131 173 213 258
MD/PhD
30 or less   * 0 0 0 * * 0 0 0 0 0 0 * 0
31-40   216 198 163 169 174 166 147 123 106 121 105 99 88 75
41-50   706 779 819 883 916 1085 1061 1123 1081 1012 943 933 916 932
51-60   344 380 394 468 528 638 697 778 800 865 896 1005 1146 1248
61-70   105 114 120 122 142 199 220 217 228 261 295 367 415 458
71+   18 26 26 32 36 28 48 44 53 57 60 81 86 113
Veterinarian
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 0 0
31-40   14 14 * * 11 * 12 * * * * * * *
41-50   35 45 40 44 53 48 55 68 60 61 60 55 46 48
51-60   23 22 22 23 30 32 34 42 40 39 48 50 52 60
61-70   * * * 12 11 17 15 11 14 19 15 21 20 22
71+   0 0 0 * * * * * * * * * * *
Dentist
30 or less   0 0 0 0 0 0 0 0 0 0 0 0 0 0
31-40   * 12 * * * 15 * * 11 * * * 0 *
41-50   35 39 34 32 40 43 42 31 31 38 29 31 35 36
51-60   20 24 22 28 26 28 32 37 34 39 37 38 40 40
61-70   * * * * * * 11 * 11 14 15 18 19 23
71+   0 0 0 * * * * * * 0 * * * 0
MD
Asian 775 103 105 109 134 165 208 221 264 271 282 301 333 376 377
Black 103 13 18 20 18 26 25 24 28 26 27 28 36 44 50
Hispanic 250 42 45 52 66 58 64 70 79 73 84 88 78 103 113
Native** 8 * * * * * * * * * * * * * *
White 5278 1150 1231 1316 1338 1434 1623 1653 1720 1697 1669 1621 1771 1867 2016
PhD
Asian 3527 617 679 727 846 962 1165 1291 1408 1480 1605 1612 1796 1881 1995
Black 275 44 42 52 59 57 79 91 91 97 95 108 132 140 138
Hispanic 692 109 107 128 138 160 172 205 224 242 250 256 300 311 330
Native** 44 * * 14 12 17 13 15 15 * 11 11 14 17 15
White 20239 4363 4606 4630 4773 5395 6155 6581 6880 7025 7145 7018 7480 8082 8365
MD/PhD
Asian 1206 175 220 258 299 352 446 469 510 542 613 597 653 693 721
Black 76 13 19 19 22 20 22 25 32 28 25 30 34 36 42
Hispanic 226 44 46 45 46 71 70 76 78 82 94 90 116 127 120
Native** * * * * 0 * * * 0 0 * * * * *
White 4482 1186 1241 1231 1327 1387 1630 1650 1725 1692 1663 1662 1777 1882 2030
Veterinarian
Asian 73 15 16 18 19 23 28 25 34 29 34 38 36 31 42
Black * * * * * * * * * * * * * * *
Hispanic 18 * * * * * * * * * * * * * *
Native** 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
White 247 60 64 53 59 74 71 88 91 84 80 84 94 92 95
Dentist
Asian 46 12 * 13 * 17 17 18 16 17 17 19 16 18 25
Black 5 * * 0 * 0 * * * 0 * * * * *
Hispanic 23 * * * * * * * * * 12 * 12 * 12
Native** 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
White 222 54 65 55 58 63 66 70 64 67 69 65 66 68 68
MD (Average Age)
Female   47.3 47.6 48 47.9 48.1 48.4 49 49.7 49.9 49.6 50.4 51.1 51.5 51.6
Male   50.1 50.1 50.6 50.9 51.2 51.7 51.7 52.3 52.9 53 53.6 54.5 54.7 55.4
PhD (Average Age)
Female   47 47.5 47.7 48.1 48.4 48.6 49.1 49.4 49.3 49.8 50.2 50.6 50.9 51.6
Male   48.3 48.6 49 49.2 49.7 49.7 50.1 50.2 50.3 50.9 51.1 51.7 52.3 52.6
MD/PhD (Average Age)
Female   46.1 47.1 47.9 47.9 48.5 48.4 49.3 49.3 50.2 50.9 51.2 51.9 52 52.7
Male   48.6 49 49.3 49.6 49.8 50.2 50.9 51 51.5 51.9 52.6 53.4 54 54.4
Veterinarian (Average Age)
Female   46.5 48.2 49.7 49.1 49 48 48.8 51.4 49.9 51 51.6 51.5 53 52.6
Male   48.7 47.7 50.1 50.8 50.7 51.9 51.2 50 50.8 51.8 52.5 53.3 53.4 53.3
Dentist (Average Age)
Female   46 45.7 47.9 46.8 48.5 48.8 49.6 52.5 49.9 51.1 53.2 52.1 52.8 51.9
Male   48.4 48.2 49.3 50.6 49.7 48.9 50.7 50.6 51.5 51.6 53.3 54.5 55.2 54.7

*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.

A4-4.1: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: MD, PhD, and MD/PhD Degrees (FY1999-2012) A4-4.1: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: MD, PhD, and MD/PhD Degrees (FY1999-2012) A4-4.2: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: MD and MD/PhD Degrees (FY1999-2012) A4-4.2: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: MD and MD/PhD Degrees (FY1999-2012) A4-4.3: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: Veterinarian, Dentist, and Other Degrees (FY1999-2012) A4-4.3: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: Veterinarian, Dentist, and Other Degrees (FY1999-2012) A4-4.4: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (FY1999-2012) A4-4.4: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (FY1999-2012) A4-4.5: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by URM (Non-Asian) (FY1999-2012) A4-4.5: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by URM (Non-Asian) (FY1999-2012) A4-4.6: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (FY1999-2012) A4-4.6: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (FY1999-2012) A4-4.7: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (MD Degree) (FY1999-2012) A4-4.7: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (MD Degree) (FY1999-2012) A4-4.8: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (PhD Degree) (FY1999-2012) A4-4.8: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (PhD Degree) (FY1999-2012) A4-4.9: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (MD/PhD Degree) (FY1999-2012) A4-4.9: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (MD/PhD Degree) (FY1999-2012) A4-4.10: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (Veterinarian Degree) (FY1999-2012) A4-4.10: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (Veterinarian Degree) (FY1999-2012) A4-4.11: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (Dentist Degree) (FY1999-2012) A4-4.11: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Gender (Dentist Degree) (FY1999-2012) A4-4.12: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (MD Degree, 6 Age Groups) (FY1999-2012) A4-4.12: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (MD Degree, 6 Age Groups) (FY1999-2012) A4-4.13: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (PhD Degree, 6 Age Groups) (FY1999-2012) A4-4.13: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (PhD Degree, 6 Age Groups) (FY1999-2012) A4-4.14: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (MD/PhD Degree, 6 Age Groups) (FY1999-2012) A4-4.14: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (MD/PhD Degree, 6 Age Groups) (FY1999-2012) A4-4.15: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (Veterinarian Degree, 6 Age Groups) (FY1999-2012) A4-4.15: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (Veterinarian Degree, 6 Age Groups) (FY1999-2012) A4-4.16: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (Dentist Degree, 6 Age Groups) (FY1999-2012) A4-4.16: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Age (Dentist Degree, 6 Age Groups) (FY1999-2012) A4-4.17: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (MD Degree) (FY1999-2012) A4-4.17: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (MD Degree) (FY1999-2012) A4-4.18: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (PhD Degree) (FY1999-2012) A4-4.18: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (PhD Degree) (FY1999-2012) A4-4.19: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (MD/PhD Degree) (FY1999-2012) A4-4.19: Total Number of Individual NIH Research Project Grant Applicants with Prior RPG: by Race/Ethnicity (MD/PhD Degree) (FY1999-2012)

Back to top