If systematic racism exists in the USA

phdinsports · Jun 7, 2020

Explain how blacks who make up 12.5% of the population also make up 18.2% of cushy federal government workers? They are over represented by nearly 50% in terms of Federal government employees! How can this be, if systematic racism exists?

Executive Branch Employment by Gender and Race/National Origin

Year	Gender	Total On-Board	All Minorities	Black / African American	Hispanic / Latino	Asian/Pacific Islander	American Indian / Alaska Native	More Than One Race	White / Non-Hispanic
#	%	#	%	#	%	#	%	#	%	#	%	#	%
2006	Men	1,033,702	276,670	14.9%	124,658	6.7%	80,267	4.3%	53,396	2.9%	17,765	1.0%	584	0.03%	757,032	40.9%
Women	817,734	318,928	17.2%	194,425	10.5%	58,404	3.2%	43,971	2.4%	21,564	1.2%	564	0.03%	498,806	26.9%
Total	1,851,436	595,598	32.2%	319,083	17.2%	138,671	7.5%	97,367	5.3%	39,329	2.1%	1,148	0.06%	1,255,838	67.8%
2007	Men	1,038,717	282,798	15.2%	126,239	6.8%	82,841	4.5%	54,448	2.9%	17,250	0.9%	2,020	0.1%	755,919	40.6%
Women	821,960	323,774	17.4%	195,931	10.5%	59,125	3.2%	45,315	2.4%	21,437	1.2%	1,966	0.1%	498,186	26.8%
Total	1,860,677	606,572	32.6%	322,170	17.3%	141,966	7.6%	99,763	5.4%	38,687	2.1%	3,986	0.2%	1,254,105	67.4%
2008	Men	1,078,000	297,868	15.4%	132,685	6.8%	87,205	4.5%	57,155	3.0%	17,325	0.9%	3,498	0.2%	780,132	40.3%
Women	859,394	341,771	17.6%	205,057	10.6%	62,722	3.2%	48,669	2.5%	21,896	1.1%	3,427	0.2%	517,623	26.7%
Total	1,937,394	639,639	33.0%	337,742	17.4%	149,927	7.7%	105,824	5.5%	39,221	2.0%	6,925	0.4%	1,297,755	67.0%
2009	Men	1,134,003	314,888	15.5%	139,396	6.9%	91,586	4.5%	60,539	3.0%	17,757	0.9%	5,610	0.3%	819,115	40.3%
Women	899,996	358,055	17.6%	212,576	10.5%	66,069	3.2%	51,655	2.5%	22,408	1.1%	5,347	0.3%	541,941	26.6%
Total	2,033,999	672,943	33.1%	351,972	17.3%	157,655	7.8%	112,194	5.5%	40,165	2.0%	10,957	0.5%	1,361,056	66.9%
2010	Men	1,181,989	332,547	15.8%	146,505	6.9%	95,660	4.5%	64,293	3.0%	17,882	0.8%	8,207	0.4%	849,442	40.2%
Women	929,265	371,003	17.6%	218,314	10.3%	68,396	3.2%	54,593	2.6%	22,450	1.1%	7,250	0.3%	558,262	26.4%
Total	2,111,254	703,550	33.3%	364,819	17.3%	164,056	7.8%	118,886	5.6%	40,332	1.9%	15,457	0.7%	1,407,704	66.7%
2011	Men	1,198,173	340,958	16.0%	149,375	7.0%	98,422	4.6%	66,071	3.1%	17,337	0.8%	9,753	0.5%	857,215	40.3%
Women	930,124	374,094	17.6%	218,613	10.3%	69,089	3.2%	55,816	2.6%	22,003	1.0%	8,573	0.4%	556,030	26.1%
Total	2,128,297	715,052	33.6%	367,988	17.3%	167,511	7.9%	121,887	5.7%	39,340	1.8%	18,326	0.9%	1,413,245	66.4%
2012	Men	1,190,750	344,435	16.3%	149,701	7.1%	99,203	4.7%	67,178	3.2%	16,925	0.8%	11,428	0.5%	846,315	40.1%
Women	918,306	374,170	17.7%	216,895	10.3%	69,524	3.3%	56,357	2.7%	21,553	1.0%	9,841	0.5%	544,136	25.8%
Total	2,109,056	718,605	34.1%	366,596	17.4%	168,727	8.0%	123,535	5.9%	38,478	1.8%	21,269	1.0%	1,390,451	65.9%
2013	Men	1,167,750	342,886	16.6%	148,688	7.2%	98,735	4.8%	66,963	3.2%	16,053	0.8%	12,447	0.6%	824,864	39.9%
Women	898,936	369,713	17.9%	213,585	10.3%	68,764	3.3%	56,198	2.7%	20,645	1.0%	10,521	0.5%	529,223	25.6%
Total	2,066,686	712,599	34.5%	362,273	17.5%	167,499	8.1%	123,161	6.0%	36,698	1.8%	22,968	1.1%	1,354,087	65.5%
2014	Men	1,159,053	345,059	16.9%	148,788	7.3%	99,056	4.8%	67,965	3.3%	15,694	0.8%	13,556	0.7%	813,994	39.8%
Women	886,253	368,212	18.0%	210,796	10.3%	68,821	3.4%	56,963	2.8%	20,258	1.0%	11,374	0.6%	518,041	25.3%
Total	2,045,306	713,271	34.9%	359,584	17.6%	167,877	8.2%	124,928	6.1%	35,952	1.8%	24,930	1.2%	1,332,035	65.1%
2015	Men	1,168,186	353,729	17.2%	151,602	7.4%	101,613	4.9%	69,758	3.4%	15,657	0.8%	15,099	0.7%	814,457	39.6%
Women	889,835	374,044	18.2%	212,453	10.3%	70,540	3.4%	58,321	2.8%	20,251	1.0%	12,479	0.6%	515,791	25.1%
Total	2,058,021	727,773	35.4%	364,055	17.7%	172,153	8.4%	128,079	6.2%	35,908	1.7%	27,578	1.3%	1,330,248	64.6%
2016	Men	1,188,113	366,056	17.5%	156,586	7.5%	104,801	5.0%	72,158	3.4%	15,680	0.7%	16,831	0.8%	822,057	39.2%
Women	907,396	386,710	18.5%	218,875	10.4%	72,695	3.5%	60,969	2.9%	20,233	1.0%	13,938	0.7%	520,686	24.8%
Total	2,095,509	752,766	35.9%	375,461	17.9%	177,496	8.5%	133,127	6.4%	35,913	1.7%	30,769	1.5%	1,342,743	64.1%
2017	Men	1,180,890	372,440	17.9%	157,992	7.6%	107,709	5.2%	73,228	3.5%	15,267	0.7%	18,244	0.9%	808,450	38.8%
Women	905,178	393,102	18.8%	220,782	10.6%	74,908	3.6%	62,341	3.0%	19,941	1.0%	15,130	0.7%	512,076	24.5%
Total	2,086,068	765,542	36.7%	378,774	18.2%	182,617	8.8%	135,569	6.5%	35,208	1.7%	33,374	1.6%	1,320,526	63.3%

https://www.opm.gov/policy-data-ove...employment-by-gender-and-racenational-origin/

SmallDaddy · Jun 7, 2020

Oh yeah .

In NYC almost ALL the easy gov't gigs go to minorities (mostly black)

DMV, Parks and Rec etc.

Strangely not sanitation (hardest one of all the easy gigs)

azbob · Jun 7, 2020

The bigger question, if there is systematic racism, how does any black person ever become successful? The majority become successful for the same reasons white people become successful. Successful people know what to do.