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VSP Racial Dispari.es Analysis, 201015 Stephanie Seguino and Nancy Brooks May 30, 2016

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Page 1: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

VSP  Racial  Dispari.es  Analysis,  2010-­‐15  

Stephanie  Seguino  and  Nancy  Brooks  May  30,  2016  

Page 2: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Focus  of  analysis  

•  The  analysis  concentrates  on  traffic  stops  and  outcomes  that  are  the  result  of  officer  discre.on.    

•  We  therefore  ignore:  –   externally  generated  stops  – arrests  with  warrant  

•  We  calculate  search  rates  in  2  ways:  – Probable  cause  and  reasonable  suspicion  only  – All  searches  (incl.  searches  on  warrant).    

Page 3: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Mul.ple  outcomes  

•  We  have  made  sure  to  count  only  one  stop  per  driver  (even  if  there  are  mul.ple  outcomes  per  stop).    

Page 4: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Five  indicators  

1.   Stop  rates  compared  to  share  of  the  popula.on    2.  Share  of  stops  that  lead  to:  •  Warning  vs.  1cket  (cita1on)  •  Arrest  •  Search  

3.  Percentage  of  searches  with  contraband  4.   Trooper  dispari1es  in  stop  rates  5.  Racial  dispari.es  by  barracks  

 

Page 5: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Table  1.  Stops  and  Stop  Rates  by  Race/Ethnicity,  2010-­‐15  

 

Year White Black Asian Hispanic

Total number of stops 259,903 5,554 3,562 2,568

Share of stops 95.6% 2.0% 1.3% 0.9%

Share of population 95.1% 1.6% 1.8% NA

•  Popula.on  is  from  US  Census  for  2010-­‐14.  •  We  do  not  use  accident  data  to  es.mate  the  driving  popula.on  because  22%  

of  VSP  reported  accidents  are  missing  race  of  driver.    

Page 6: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  1A.  Trends  in  black  stop  rates  and  share  of  popula.on,  2010-­‐2015  

 

1.8% 1.8% 1.9% 1.9%

2.3% 2.4%

1.6% 1.6% 1.6% 1.6% 1.6% 1.6%

1.2%

1.4%

1.6%

1.8%

2.0%

2.2%

2.4%

2.6%

2010 2011 2012 2013 2014 2015

Black share of stops Black share of population

Page 7: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  1B.  Trends  in  Asian  share  of  stops  and  popula.on  

1.1% 1.1% 1.2%

1.3%

1.5% 1.5%

1.3%

1.8% 1.8% 1.8% 1.8% 1.8% 1.8% 1.8%

0.8%

1.0%

1.2%

1.4%

1.6%

1.8%

2.0%

2010 2011 2012 2013 2014 2015

Asian share of stops Asian share of population

Page 8: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

   Table  1.  Summary  of  Outcome  Rates  

by  Race,  2010-­‐15        

*Excludes  externally  generated  stops.  

Page 9: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Table  4.  Data  quality    Number  of  Incident  Reports  with  Missing/

Unknown  Data,  2010-­‐15    

Page 10: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  2.  Trends  in  black  and  white  .cket  rates,  2011-­‐15  

 

43.7%  

38.9%   37.7%  

32.3%  35.6%  

37.4%  

53.6%  

45.0%  

40.8%  38.3%  

41.2%   42.2%  

20%  

25%  

30%  

35%  

40%  

45%  

50%  

55%  

60%  

2011   2012   2013   2014   2015  

White   Black  

Page 11: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  3.  Trends  in  black  and  white  arrest  rates,  2011-­‐15  

1.08% 1.02% 1.05% 1.00% 0.94%

2.22% 2.11% 2.07%

1.54%

2.02%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

2011 2012 2013 2014 2015

White Black

Page 12: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

 Figure  4.  Trends  in  Black  and  White  Search  Rates,  

2011-­‐15  

     

0.9% 0.9% 1.1% 1.2% 0.9%

3.6% 3.6%

4.9%

6.0%

5.1%

0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

7.0%

2011 2012 2013 2014 2015

White Black

Page 13: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  5.  Trends  in  percentages  of  consent  searches  yielding  contraband,  2011-­‐15  

 (excludes  warnings)    

58.0% 55.3%

60.9%

71.6% 74.7%

40.0%

26.5%

40.4%

59.5% 60.4%

20%

30%

40%

50%

60%

70%

80%

2011 2012 2013 2014 2015 White Black

Page 14: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  6.  Blacks  as  %  of  stops  by  trooper,  2010-­‐2015,  (excludes  externally  generated  stops),  100+  stops  

   

0%

1%

2%

3%

4%

5%

6%

7%

8%

9%

10%

1 10

19

28

37

46

55

64

73

82

91

100

109

118

127

136

145

154

163

172

181

190

199

208

217

226

235

244

253

262

271

280

289

Officers ranked by black drivers as % of all stops

Blacks  as  share  of  stops  

Blacks  as  share  of  popula.on  

Page 15: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  7.  Hispanics  as  %  of  trooper  stops,  2010-­‐2015,  (excludes  externally  generated  stops),  100+  stops  

   

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

4.5%

5.0%

1 10

19

28

37

46

55

64

73

82

91

100

109

118

127

136

145

154

163

172

181

190

199

208

217

226

235

244

253

262

271

280

289

Officers ranked by Hispanic drivers as % of all stops

Hispanics  as  share  of  stops  

Page 16: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  14.  Percentage  of  stops  with  race  as  unknown  or  missing,  by  trooper  

0%#

2%#

4%#

6%#

8%#

10%#

12%#

152#

286#

428#

431# 65# 7# 47#

277#

155#

404#

150#

419#

105#

326# 25#

148# 53#

115# 99#

340#

180#

165#

227#

398#

178#

422#

386#

313#

297#

405# 50#

337#

338#

254#

379#

423#

182#

Unknowns'as'%'total'stops'

Page 17: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  9.  Ticket  rates  by  barracks,  2010-­‐15  

46.0%

40.6%

36.6%

52.4%

45.2%

38.3%

30.4%

26.4%

36.4%

28.2%

32.9% 34.0% 35.0%

20%

25%

30%

35%

40%

45%

50%

55%

Page 18: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  10.  White  and  black  search  rates  by  agency,  2010-­‐15  

1.4% 1.0% 0.8% 1.4% 1.2%

0.7% 0.7% 1.3% 1.6%

8.4% 8.2%

1.6%

4.2%

6.8%

2.8% 4.0%

7.3%

3.2%

0% 1% 2% 3% 4% 5% 6% 7% 8% 9%

White Black

•  Only  barracks  with  10+  searches  of  black  drivers  shown  here.    

Page 19: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  11.  Hit  rates  on  consent  searches  by  barracks,  2010-­‐15  

67.1%

57.4%

64.3% 68.0%

54.5%

63.4% 66.2%

69.1%

58.9%

42.0%

32.7%

81.8%

50.0% 46.2%

35.0%

60.0% 65.4%

47.1%

20%

30%

40%

50%

60%

70%

80%

90%

White Black

Page 20: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Figure  12.  Ra.o  of  black/white  search  rates  

6.0

8.4

2.0 3.0

5.6

3.8

6.0 5.5

2.0

0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0

Page 21: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Table  4.  Sta.s.cally  Significant  Racial  Dispari.es  in  Outcomes    

Page 22: VSP$Racial$Dispari.es$Analysis,$ 201015 and Broo… · VSP$Racial$Dispari.es$Analysis,$ 201015 Stephanie$Seguino$and$Nancy$Brooks$ May$30,$2016$

Differences  between  Seguino/Brooks  and  McDevic  Studies  

Where  our  methods  are  the  same,  the  two  studies  produce  similar  results.  However,  our  methods  differ  in  several  ways.    1.  Our  study  evaluates  trends  over  .me.  2.  We  disaggregate  by  race  for  all  indicators,  thereby  highligh.ng  

dispari.es  among  minori.es.  We  do  not  report  on  Na.ve  Americans  due  to  small  sample  size.  

3.  We  exclude  externally  generated  stops.  4.  We  calculate  hit  rates  in  cases  where  a  .cket  or  arrest  occurs  

(excluding  warnings).  5.  We  use  U.S.  census  bureau  data  for  driving  popula.on  es.mates  

due  to  poor  quality  of  accident  data.  6.  We  provide  the  raw  data  on  which  our  analysis  is  based.  

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Con.nued  •  Where  McDevic  uses  Census  data,  his  are  for  2010,  while  

ours  are  for  2010-­‐14.  •  Our  results  on  .cket  rates  are  very  similar,  and  differences  

likely  due  to  our  exclusion  of  externally  generated  stops  (EGS).  

•  Our  search  rate  of  blacks  is  lower  likely  again  due  to  our  exclusion  of  EGS.  

•  There  are  differences  in  hit  rates  in  the  two  studies  (both  overall  and  by  barracks),  likely  due  to  our  exclusion  of  EGS,  as  well  as  our  calcula.on  of  hit  rate  that  includes  and  excludes  warnings.  The  lacer,  we  argue,  is  the  more  salient.  Our  study  shows  wider  gaps  in  hit  rates,  sugges.ve  of  inefficient  policing  and  bias.