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Crimes Known to Law Enforcement: Using Data from the National Incident Based Reporting System (NIBRS) to Support Victim Service Providers Erica Smith Chief , Law Enforcement Statistics Unit Bureau of Justice Statistics. Establishing a statistical research program in victim services. - PowerPoint PPT Presentation
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U.S. Department of Justice
Office of Justice Programs
BUREAU OF JUSTICE STATISTICS
Crimes Known to Law Enforcement: Using Data from the National Incident Based Reporting System (NIBRS) to Support Victim Service Providers
Erica SmithChief, Law Enforcement Statistics UnitBureau of Justice Statistics
2www.bjs.gov
Establishing a statistical research program in victim services
The Bureau of Justice Statistics is partnering with OVC on a statistical research program, based on the substantive priorities identified in Vision 21, such as:
•What types of victims are receiving services?
•What services are victims receiving?
•Where are victim service needs not being met?
•How can data support funding allocation decisions that will enable providers to reach victims in need?
3www.bjs.gov
Establishing a statistical research program in victim services
The goals of the BJS program are to:
• address basic questions about the conditions of service provision, across multiple dimensions and by locality; and
• track changes in these conditions over time.
One important source of data that enables us to meet both of those goals is the FBI’s NIBRS, the National Incident-Based Reporting System.
4www.bjs.gov
FBI’s National Incident-Based Reporting System (NIBRS)
In addition to counts of all crimes and arrests known to law enforcement, NIBRS includes:
• the date, time and location of the incident; • demographic information on each victim and offender involved in the incident; • the relationships between each of the victims and the offenders; • other details of the incident, including victim injury, type of weapon involved,
alcohol or drug involvement, property loss, and drugs seized; • clearance information, including both arrest and clearances by exceptional
means; and • date of arrest and arrestee demographics.
5www.bjs.gov
6www.bjs.gov
Studying Sexual Assaults using NIBRS
Limited information available from traditional sourcesNIBRS • Information on all sexual violence reported to law enforcementMore detailed categories, not just “forcible rape” as in the
traditional UCR crime reportingForcible Rape, Forcible Sodomy, Forcible Fondling, Sexual
Assault with an Object
•Includes data on sexual victimization of children under 12
7www.bjs.gov
Examine sexual assault victimizations by the age of the victim
Victim age Total Forcible rape
Forcible sodomy
Sexual assault with an object
Forcible fondling
5 or younger38.0 1.6 5.1 3.6 27.7 62.06 to 9 31.9 2.2 5.1 2.3 22.2 68.110 to 13 15.7 3.0 1.7 0.7 10.2 84.314 to 17 10.5 3.2 0.9 0.4 5.9 89.518 to 24 3.2 1.6 0.3 0.2 1.1 96.825 or older 1.5 0.7 0.1 0.1 0.5 98.5
Sexual assault victimizations Other violent victimization
8www.bjs.gov
The distribution of sex offense victimizations differs between adults and kids
9www.bjs.gov
Sexual assault victimization rates peak at about age 14
10www.bjs.gov
11www.bjs.gov
Violent sexual assault victimization rates are higher for blacks than for whites, regardless of age
12www.bjs.gov
Can examine victim-offender relationship in violent sexual assaults by the sex of the victim
13www.bjs.gov
Among young victims, females were sexually assaulted by slightly different perpetrators than males
14www.bjs.gov
Violent sexual assaults of juveniles known to law enforcement were most likely to occur in a residence
15www.bjs.gov
Violent sexual assaults across all ages were most likely to occur from 8am-9am, noon-1pm, and 3pm-4pm
16www.bjs.gov
Examine violent sexual assaults by the time of day during which the incidents occur
17www.bjs.gov
About one-third (35%) of sexual violence known to law enforcement was cleared
18www.bjs.gov
Victimizations involving juveniles under 6 are the least likely to be cleared
19www.bjs.gov
How do victimization patterns vary by victim age?
1. Time of day the incident occurred2. Probability that a victim will be victimized by a
particular type of offender•offender age •victim-offender relationship•Location of the sexual assault
20www.bjs.gov
Offender Age All
Intimate partner
Other family
Friend/ Acq Stranger
Offender Age All
Intimate partner
Other family
Friend/ Acq Stranger
All 1,000 0 604 379 17 All 1,000 95 260 597 48Residence 875 0 564 304 8 Residence 703 72 236 377 187 to 11 91 0 49 41 0 7 to 11 3 0 1 2 012 to 17 248 0 154 94 1 12 to 17 158 29 29 97 3
18-24 98 0 58 38 2 18-24 202 37 28 131 6
25-34 176 0 123 51 1 25-34 118 5 44 64 5
35-44 122 0 86 35 1 35-44 124 1 75 45 345-54 79 0 51 27 1 45-54 62 0 36 26 155+ 60 0 42 18 0 55+ 35 0 23 12 0Non-residence 126 0 39 76 10
Non-residence 297 23 24 220 30
7 to 11 25 0 3 21 1 7 to 11 3 0 0 2 112 to 17 36 0 9 24 2 12 to 17 138 10 3 120 5
18-24 14 0 5 7 2 18-24 72 11 3 50 925-34 16 0 9 6 1 25-34 32 1 4 19 735-44 13 0 6 6 1 35-44 25 0 7 14 445-54 11 0 4 5 2 45-54 16 0 4 9 355+ 11 0 3 7 1 55+ 10 0 2 6 2
Violent sexual assault of youth age 11 or younger Violent sexual assault of teens age 12 to 17
21www.bjs.gov
Offender Age All
Intimate partner
Other family
Friend/ Acq Stranger
All 1,000 107 86 672 136Residence 652 85 77 442 477 to 11 1 0 0 0 012 to 17 21 2 3 16 1
18-24 257 44 8 186 19
25-34 184 31 12 125 17
35-44 99 7 25 61 6
45-54 61 2 18 38 355+ 29 0 11 16 1Non-residence7 to 11 0 0 0 0 012 to 17 16 1 0 12 3
18-24 120 11 1 84 24
25-34 99 8 1 59 31
35-44 60 1 2 41 1545-54 36 0 3 23 1055+ 17 0 1 12 4
Violent sexual assaults of adults age 18 or older
348 21 9 230 89
22www.bjs.gov
Who is the perpetrator?
0
10
20
30
40
50
60
70
80
90
100 Relationship of Victim to Offender in Violent Crimes in Seattle, 2012
Intimate Partner Parent Sibling Child Other Family Friend/Acq Stranger
Victim Age
23www.bjs.gov
Sexual Assault Aggravated Assault Simple Assault Intimidation0
10
20
30
40
50
60
10.5
33.1
50.0
6.4
Type of violent victimization against youth age 17 or younger who were victimized by a parent,
Seattle 2012
24www.bjs.gov
Sexual Assault Robbery Aggravated Assault
Simple Assault Intimidation0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Type of violent victimization against youth age 17 or younger, by who the offender was, Seattle 2012
Intimate Partner Sibling Parent Other Family MemberFriend/Acq Stranger Unknown
25www.bjs.gov
Who is the perpetrator?
0
10
20
30
40
50
60
70
80
90
100 Relationship of Victim to Offender in Violent Crimes in Seattle, 2012
Intimate Partner Parent Sibling Child Other Family Friend/Acq Stranger
Victim Age
26www.bjs.gov
Types of victimizations committed by strangers, Seattle 2012
27www.bjs.gov
6 am
7 am
8 am
9 am
10 am
11 am
12 pm
1 pm
2 pm
3 pm
4 pm
5 pm
6 pm
7 pm
8 pm
9 pm
10 pm
11 pm
12 am
1 am
2 am
3 am
4 am
5 am
0
1
2
3
4
5
6
7
8
Time of day when robbery by a stranger occurs, Seattle 2012
28www.bjs.gov
6 am
7 am
8 am
9 am
10 am
11 am
12 pm
1 pm
2 pm
3 pm
4 pm
5 pm
6 pm
7 pm
8 pm
9 pm
10 pm
11 pm
12 am
1 am
2 am
3 am
4 am
5 am
0
2
4
6
8
10
12
14 Time of day when robbery by a stranger oc-curs by whether a gun was involved, Seattle
2012
Gun
Non-gun
29www.bjs.gov
Unpacking of incident characteristics across place and time
Year201020112012
Robbery rate per 100,000 persons in Michigan
114.7103.7102.3
30www.bjs.gov
Examine differences in type of offense
Rate per 100,000 persons in Michigan
YearTotal robbery
Armed robbery
Unarmed robbery
2010 114.7 63.0 51.62011 103.7 57.9 45.82012 102.3 57.0 45.3
31www.bjs.gov
Examine the same phenomenon across place
YearTotal robbery
Armed robbery
Unarmed robbery
2010 384.7 234.0 150.62011 346.2 211.4 134.82012 340.8 205.7 135.1
Rate per 100,000 persons in Wayne County, Michigan
YearTotal robbery
Armed robbery
Unarmed robbery
2010 220.0 135.1 84.92011 231.7 141.3 90.32012 243.9 161.3 82.6
Rate per 100,000 persons in Genessee County, Michigan
YearTotal robbery
Armed robbery
Unarmed robbery
2010 81.7 39.4 42.32011 68.8 29.8 39.02012 57.0 25.3 31.6
Rate per 100,000 persons in Washtenaw County, Michigan
32www.bjs.gov
Clear differences across place in the same phenomenon
2010
2011
2012
2010
2011
2012
2010
2011
2012
2010
2011
2012
Geness
ee C
ounty
Mic
hig
an
0 50 100 150 200 250 300 350 400
Armed robbery
U.S. Department of Justice
Office of Justice Programs
BUREAU OF JUSTICE STATISTICS
Erica SmithIncoming ChiefLaw Enforcement Statistics UnitBureau of Justice [email protected](202) 616-3491
More information on NCS-X:http://www.bjs.gov/content/ncsx.cfm
More information on NIBRS:http://www.fbi.gov/about-us/cjis/ucr/nibrshttp://www.bjs.gov/index.cfm?ty=dcdetail&iid=301