Appendix IV: Physician-Scientists Workforce Data

A4-13: Total Number of Individual NIH Research Project Grant Applicants without 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	19050	1682	1761	1852	1873	2016	2315	2373	2306	2345	2070	2007	2412	2424	2356
PhD	78406	6799	7123	7303	7785	9037	10508	11057	11533	11958	11084	10916	13250	13663	13748
MD/PhD	11556	1124	1167	1165	1232	1489	1702	1729	1763	1797	1617	1583	1814	1724	1714
Veterinarian	1192	111	88	101	110	148	179	159	172	168	175	159	232	203	210
Dentist	824	73	75	78	90	81	93	97	117	123	111	85	117	108	98
Other	1058	30	41	39	52	73	95	109	104	102	154	139	211	139	114
Race/Ethnicity
Asian	18554	1488	1531	1620	1878	2319	2830	3035	3337	3697	3325	3226	3941	4196	4239
Black	3061	221	231	258	281	309	375	405	435	460	423	380	506	471	533
Hispanic	4475	316	364	343	429	506	646	648	701	788	658	700	817	864	886
Native**	249	20	33	22	23	29	36	36	26	36	29	37	33	34	36
White	71755	7160	7449	7523	7792	8948	10079	10487	10506	10180	8708	8290	9699	10100	10040
Gender
Female	39878	2915	3104	3231	3421	4060	4821	5172	5384	5750	5521	5621	6824	7297	7315
Male	74300	6549	6770	7031	7523	8623	9998	10311	10522	10756	9808	9570	11583	12443	12410
Age (6 Age Groups)
30 or less		157	129	139	147	147	168	179	193	219	167	142	172	96	51
31-40		3279	3314	3347	3617	4139	4459	4615	4769	5669	4883	4922	5679	4832	4326
41-50		3481	3606	3781	3993	4574	5340	5573	5653	5586	5471	5406	6416	6282	6173
51-60		1455	1652	1723	1815	2179	2659	2667	2675	2610	2585	2607	3142	3005	2810
61-70		419	445	431	516	590	681	745	753	674	723	724	962	987	932
71+		74	79	89	81	105	120	114	106	103	90	94	146	123	131
MD
Female	5058	360	437	451	425	491	600	632	638	663	657	657	748	754	778
Male	13208	1214	1210	1313	1375	1458	1683	1718	1634	1648	1370	1332	1621	1647	1528
PhD
Female	28633	2206	2304	2425	2621	3117	3679	3948	4133	4385	4130	4210	5139	5242	5229
Male	47058	4307	4472	4638	4985	5765	6712	6964	7244	7393	6742	6529	7851	8192	8216
MD/PhD
Female	2551	225	228	245	249	310	361	369	388	425	387	401	454	463	441
Male	8741	869	909	895	962	1158	1313	1334	1343	1356	1219	1165	1344	1252	1253
Veterinarian
Female	366	31	26	30	32	41	59	48	48	55	62	54	79	68	67
Male	789	75	60	70	75	101	114	107	120	113	112	104	149	135	141
Dentist
Female	253	20	19	25	27	18	24	34	48	45	39	32	42	42	35
Male	543	52	52	49	59	61	66	63	69	76	70	52	75	65	63
Other
Female	497	21	21	14	23	29	39	51	59	57	72	62	91	65	46
Male	464	*	13	20	26	36	49	57	43	41	69	66	103	68	59
MD
30 or less		*	*	*	*	*	*	*	*	*	*	*	*	*	*
31-40		442	442	452	447	498	551	527	493	632	479	485	555	460	412
41-50		682	721	765	820	824	935	974	931	876	829	801	872	872	822
51-60		223	246	266	276	313	412	409	386	381	352	362	471	418	371
61-70		82	81	85	81	117	106	139	123	91	90	96	136	120	134
71+		23	11	23	20	25	29	23	25	23	23	14	31	27	24
PhD
30 or less		125	106	114	124	115	137	147	156	181	132	110	141	78	42
31-40		2361	2429	2480	2705	3124	3376	3582	3795	4427	3862	3904	4544	3862	3470
41-50		2273	2300	2398	2544	2951	3481	3605	3685	3647	3607	3559	4302	4275	4245
51-60		1053	1197	1258	1327	1597	1912	1940	1966	1873	1775	1761	2077	2058	1938
61-70		273	275	281	351	399	482	508	535	483	505	496	671	715	672
71+		41	54	52	44	63	67	72	65	63	49	53	72	64	86
MD/PhD
30 or less		*	*	*	*	*	*	*	*	*	*	*	*	*	*
31-40		396	356	343	389	420	431	381	381	427	345	324	334	267	228
41-50		426	487	517	519	665	767	832	844	839	773	741	842	786	773
51-60		133	148	142	150	204	234	231	225	231	251	259	305	319	299
61-70		47	64	47	56	53	69	76	74	69	76	72	84	66	55
71+		*	12	*	12	15	22	14	14	12	*	15	22	18	16
Veterinarian
30 or less		0	0	*	*	*	*	*	0	0	0	0	0	0	0
31-40		35	29	26	29	41	43	35	30	36	36	27	42	26	21
41-50		44	30	38	42	55	78	82	91	79	75	83	109	93	91
51-60		15	12	16	16	20	30	17	27	24	32	28	42	34	38
61-70		*	*	*	*	*	*	*	*	*	*	*	*	11	*
71+		*	*	*	*	*	*	*	*	*	*	*	*	*	0
Dentist
30 or less		0	0	0	0	0	0	*	0	*	0	*	0	0	0
31-40		22	21	22	22	13	22	21	22	28	20	13	18	18	*
41-50		30	28	30	38	38	27	28	49	39	40	35	45	27	31
51-60		*	11	14	11	17	25	20	22	29	32	17	28	29	22
61-70		*	*	*	*	*	*	*	*	*	*	*	*	*	*
71+		0	0	*	*	0	0	*	*	*	*	*	0	*	*
MD
Asian	2571	184	203	215	242	315	385	395	403	464	396	388	425	445	425
Black	582	35	39	51	50	59	83	77	80	86	81	62	95	84	101
Hispanic	849	66	74	76	91	92	121	119	118	142	115	113	140	136	134
Native**	25	0	*	*	*	*	*	*	*	*	*	*	*	*	*
White	12051	1247	1287	1313	1306	1377	1545	1606	1536	1438	1155	1089	1298	1327	1264
PhD
Asian	12230	1009	1026	1082	1271	1508	1821	1993	2216	2463	2231	2154	2711	2933	2983
Black	1930	148	147	164	185	202	222	254	284	290	272	260	344	320	351
Hispanic	2765	191	230	207	248	311	409	416	457	498	437	468	542	580	614
Native**	174	17	26	*	15	18	25	20	17	29	22	31	27	26	26
White	50134	4966	5163	5265	5523	6452	7325	7643	7776	7601	6520	6252	7272	7563	7593
MD/PhD
Asian	3051	254	257	288	320	431	557	574	628	673	598	590	676	641	641
Black	215	19	23	27	27	26	35	34	34	44	32	35	33	24	36
Hispanic	514	42	45	49	72	83	88	84	82	102	76	81	77	83	77
Native**	18	*	*	*	*	*	*	*	*	*	*	*	*	*	*
White	6578	749	783	729	737	880	920	935	902	864	750	694	792	777	734
Veterinarian
Asian	199	17	15	21	21	30	30	34	47	46	48	42	58	57	45
Black	49	*	*	*	*	*	17	*	*	12	*	*	15	14	14
Hispanic	67	*	*	*	*	*	12	*	15	15	*	*	*	15	18
Native**	*	0	0	0	0	*	0	*	0	0	0	0	0	0	0
White	710	78	64	70	74	85	106	91	87	89	88	81	116	100	103
Dentist
Asian	133	14	12	9	16	20	21	20	25	23	27	21	30	28	27
Black	29	*	*	*	*	*	*	*	*	*	*	*	*	*	*
Hispanic	69	*	*	*	*	*	*	*	*	16	*	*	11	14	11
Native**	*	0	*	0	*	*	0	*	0	0	*	*	*	*	0
White	477	49	47	53	56	48	55	57	70	66	57	41	52	48	45
MD (Average Age)
Female		44	43.9	44.2	43.8	44.6	44.4	44.6	44.6	44.4	45	45.1	45.3	45.5	45.9
Male		46.1	46.1	46.5	46.4	46.8	47	47.4	47.3	46	47	46.9	47.9	47.8	48.2
PhD (Average Age)
Female		43.2	43.5	44	44	44.1	44.2	44.3	44.3	43.5	44	44	44	44.7	45.1
Male		44.4	44.7	44.6	44.6	44.8	45.2	44.9	44.7	44.1	44.5	44.5	45	45.5	45.8
MD/PhD (Average Age)
Female		42.4	43.6	43.2	43.8	44.8	44.9	44.9	45	44.7	44.9	45.6	45.5	45.9	46
Male		44.6	45.4	45.3	45.1	45.2	45.7	45.8	45.8	45.4	46.2	46.5	47.1	47.5	47.7
Veterinarian (Average Age)
Female		41.6	42.1	43	42.9	43.3	44.9	45.1	45.2	46	45.7	45.2	45.2	46.9	47.8
Male		46.5	47.4	48	47	45.5	46.5	45.5	46.4	45.7	47.4	47.9	47.8	48.4	47.3
Dentist (Average Age)
Female		41.8	42.9	43.5	45.9	45.8	44.7	44.6	45.9	45.3	45.5	44.2	44.9	45.7	47.9
Male		44.7	47.6	46.5	46.8	47.5	48.2	48.5	48.3	47.6	49	49	49.2	51.1	51.5
Other (Average Age)
Female		48.4	46.8	46.5	48.1	46.1	48.3	45.8	47.7	44.8	44.8	46.9	46	49.4	47.6
Male		46.8	47.9	45.6	44.6	44.7	46.7	44.2	46.3	47.1	46.4	48.1	49.6	52	45.8

*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.

A4-13.1: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: MD, PhD, and MD/PhD Degrees (FY1999-2012) A4-13.2: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: MD and MD/PhD Degrees (FY1999-2012) A4-13.3: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: Veterinarian, Dentist, and Other Degrees (FY1999-2012) A4-13.4: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Race/Ethnicity (FY1999-2012) A4-13.5: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by URM (Non-Asian) (FY1999-2012) A4-13.6: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Gender (FY1999-2012) A4-13.7: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Gender (MD Degree) (FY1999-2012) A4-13.8: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Gender (PhD Degree) (FY1999-2012) A4-13.9: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Gender (MD/PhD Degree) (FY1999-2012) A4-13.10: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Gender (Veterinarian Degree) (FY1999-2012) A4-13.11: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Gender (Dentist Degree) (FY1999-2012) A4-13.12: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Gender (Other Degree) (FY1999-2012) A4-13.13: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Age (MD Degree, 6 Age Groups) (FY1999-2012) A4-13.14: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Age (PhD Degree, 6 Age Groups) (FY1999-2012) A4-13.15: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Age (MD/PhD Degree, 6 Age Groups) (FY1999-2012) A4-13.16: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Age (Veterinarian Degree, 6 Age Groups) (FY1999-2012) A4-13.17: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Age (Dentist Degree, 6 Age Groups) (FY1999-2012) A4-13.18: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Race/Ethnicity (MD Degree) (FY1999-2012) A4-13.19: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Race/Ethnicity (PhD Degree) (FY1999-2012) A4-13.20: Total Number of Individual NIH Research Project Grant Applicants without Prior RPG: by Race/Ethnicity (MD/PhD Degree) (FY1999-2012) A4-13.21: Total Number of Individual NIH Research Project Grant Awardees without Prior RPG: by Average Age by Degree (FY2004-2012)

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