Analyses and Results

Incident Characteristics

Of the 17,065,074 incidents reported through the NIBRS by law enforcement from 2000 to 2004, 558,219 (3.3 percent) occurred at schools. There were 589,534 offense records, 619,453 offenses, and 688,612 offender records reported in those incidents. The statistics discussed in this report are based on the 476,803 offenders for whom at least one attribute (age, gender, race, and/or number of offenders) was known.13 However, none of the characteristics for offenders (age, gender, race, or number of offenders) were known in 211,809 of the 688,612 offender records. During these 5 years, there were 181,468 arrestees associated with crime in schools. (See Table 2.) According to UCR guidelines, the arrestee may be different than the person who was reported as the offender.

Table 2: Overview of Crime in Schools, by Year

Year of Incident 5-Year Total
20002001200220032004
Number of Incidents: 17,065,074
In all locations2,616,4483,269,0223,458,5693,684,1544,036,881
In schools84,627109,239110,467121,765132,121558,219
Percent of Incidents in Schools3.23.33.23.33.33.3
Characteristics of Incidents in Schools
Number of Offenses92,242120,938123,200135,489147,584619,453
Offense Records88,687115,642117,341128,542139,322589,534
Offender Records1102,655134,088136,358150,913164,598688,612
Unknown Offender Records233,23942,78441,76146,10647,919211,809
Persons Arrested24,66233,28034,36041,05748,109181,468

1Includes the number of unknown offender records.2Unknown offender records are reported when nothing is known about the offenders in the incident, including age, gender, race, and number of offender(s).See p. 99 of NIBRS Volume 1: Data Collection Guidelines, August 2000, for more.

Note: See the study text for specific data definitions, uses, and limitations.

Offender Characteristics

Age was known for 393,938 offenders.14 Of those, most (38.0 percent) were 13-15 year olds. The second largest group was 16-18 year olds (30.7 percent), followed by those offenders aged 19 or older (18.2 percent) and 10-12 year olds (11.0 percent). Offenders 9 years old or under accounted for 2.1 percent of the offenders where the age was known. By looking at only those offenders for whom the age was known, offenders 18 years of age or younger were 4.5 times more likely to be involved in crime at schools than older offenders. There were 82,865 offenders for whom the age was unknown (but other characteristics, such as gender and/or race, were known to the police). (Based on Table 3.)

Table 3: Offenders1 of Crime in Schools, by Age2, by Year

Year of Incident
Age (Years)200020012002200320045-Year Total
0–43549745376287
5–91,2461,8071,5211,5631,7757,912
10–125,8458,5418,8599,55710,64043,442
13–1520,24428,17129,69733,16338,347149,622
16–1816,73222,50623,56427,53330,624120,959
19 or Older10,74813,60814,29515,63717,42871,716
Unknown Age114,56616,62216,58717,30117,78982,865
">Total Offenders3">69,416">91,304">94,597">104,807">116,679">476,803

1At least one other characteristic (gender, race, or number of offenders) was reported.2Law enforcement may report a range of ages. NIBRS reports the midpoint of the age range (e.g., offender age 25-35 is reported as 30).3Over the 5-year study period, there were 211,809 offenders for whom the age, gender, race, and number of offenders were not reported.

Note: See the study text for specific data definitions, uses, and limitations.

For the 5-year study period, the majority (313,556 or 76.7 percent) of the offenders about whom gender was known were males, who were reported as offenders 3.3 times more often than females. Of the offenders for whom age, race, and/or number of offenders was known, the gender was unknown to law enforcement for 67,796 offenders (14.2 percent). (Based on Table 4.)

Table 4: Offenders1 of Crime in Schools, by Gender, by Year

Year of Incident
Gender200020012002200320045-Year Total
Male45,01160,35861,83169,28877,06831,556
Female12,56017,47118,87621,24825,29695,451
Unknown Gender111,84513,47513,89014,27114,31567,796
">Total Offenders2">69,416">91,304">94,597">104,807">116,679">476,803

1At least one other characteristic (age, race, or number of offenders) was reported.2Over the 5-year study period, there were 211,809 offenders for whom the age, sex, race, and number of offenders were not reported.

Note: See the study text for specific data definitions, uses, and limitations.

Of the 394,173 offenders about whom race was known, white offenders accounted for 71.1 percent (280,178); black offenders, 27.4 percent (107,878); and all other races combined, less than 2 percent (6,117).15 When race was known, whites were 2.5 times more likely to be reported as an offender at a school than were all other races combined. Of the total offenders about whom age and/or gender were known (476,803), race was unknown for 17.3 percent. (Based on Table 5.)

Table 5: Offenders1 of Crime in Schools, by Race, by Year

Year of Incident
Race200020012002200320045-Year Total
White41,22053,86255,73561,84967,512280,178
Black13,31919,87620,91824,22529,540107,878
Asian/Pacific Islander5847837679369153,985
American Indian/Alaskan Native2823594324336262,132
Unknown Race114,01116,42416,74517,36418,08682,630
">Total Offenders2">69,416">91,304">94,597">104,807">116,679">476,803

1At least one other characteristic (gender, age, or number of offenders) was reported.2Over the 5-year study period, there were 211,809 offenders for whom the age, sex, race, and number of offenders were not reported.

Note: See the study text for specific data definitions, uses, and limitations.

Victim-to-Offender Relationships

Table 6 provides breakdowns for victim-to-offender relationships, an important aspect to understand when examining crime at schools. It is also important to understand the information in Table 6 reflects a count of relationships and not merely the number of victims and/or offenders. For example, if an incident has four victims and two offenders, there are eight relationship pairings noted in the table (4 victims multiplied by 2 offenders equals 8 relationships).

By far, the relationship type most often reported for crime in schools was Acquaintance, with 107,533 instances occurring during the 5-year study period. When Acquaintance was combined with the Otherwise Known category (50,486 instances), these two categories were 3.3 times more likely to occur as the relationship than were all other victim-to-offender relationships in which the relationship was known. The relationship Victim was Offender was reported for 15,539 occurrences, or 7.5 percent of known relationships. This type of relationship is one in which all participants in the incidents were victims and offenders of the same offense, such as assaults being reported as a result of a brawl or fight.16 Stranger was reported for 7.5 percent (15,511 instances) of the relationships. The remaining percentages were widely dispersed among all other relationship categories.

Table 6: Relationship1 of Victims to Offenders of Crime in Schools, by Year

Relationship (victim was . . .) Year of Incident 5-Year Total
20002001200220032004
Acquaintance14,07420,42922,10223,64727,281107,533
Otherwise Known6,3268,9609,84511,19214,16350,486
Victim was Offender21,4292,8053,1733,5434,58915,539
Stranger2,3013,0603,0453,4053,70015,511
Friend1,3001,4651,7191,5012,0067,991
Boyfriend/Girlfriend452609600741 8883,290
Child1872202662453261,244
Spouse117162155170163767
Other Family Member117111112131159630
Neighbor 110 91 94 116 130 541
Sibling 84 76 102 124 144 530
Parent 66 96 95 79 141 477
Employee 44 76 69 103 146 438
Ex-Spouse 54 67 84 95 78 378
Employer 28 32 43 33 43 179
Babysittee (the baby) 26 23 25 23 26 123
In-Law 10 26 25 27 32 120
Stepchild 12 28 15 22 23 100
Child of Boyfriend/Girlfriend 14 6 14 14 19 67
Stepparent 12 14 15 11 13 65
Homosexual Relationship 2 7 9 16 30 64
Common-Law Spouse 7 18 11 10 16 62
Grandchild 9 7 5 12 15 48
Stepsibling 6 4 10 15 6 41
Grandparent 0 6 5 6 9 26
Relationship Unknown 4,752 7,089 7,184 7,815 8,721 35,561
Total Relationships1 31,539 45,487 48,822 53,096 62,867 241,811

1There is not a 1:1 correspondence of relationships to incidents. For example, if an incident has 4 victims and 2 offenders, 8 relationship pairings are noted (4 victims multiplied by 2 offenders equals 8 relationships).2Victim was Offender is a relationship in which all participants in the incidents were victims and offenders of the same offense, such as assaults being reported as a result of a brawl or fight.

Note: See the study text for specific data definitions, uses, and limitations.

Offense CharacteristicsA rich level of detail about offense characteristics is captured in the NIBRS format. Of particular interest for the present study is the month of occurrence/report, use of weapons/force, and suspected use of alcohol, computers, and/or drugs by offenders.17

Table 7 provides the number of incidents as they were reported by month for each year of the study. The month with the most incidents for the 5-year period was October, with a total of 66,726. Among the 5-year totals, the month of March had the second-highest number of reported incidents (58,363), and September followed with 57,417 incidents. It should be noted, however, that on some occasions, the date of the incident is unknown to law enforcement.18 For example, a school principal notices vandalism at the school on Monday morning and reports the crime. Though the principal knows the vandalism did not occur before Friday afternoon, neither he nor law enforcement can determine whether it happened Friday evening, Saturday, Sunday, or early Monday morning. Therefore, law enforcement reports the earliest date in which the incident could have occurred (Friday) as the date of the incident. In other instances, a crime occurs during a holiday or summer break and is not discovered and reported until the start of school or after the change of a month. Law enforcement enters the date of the report as the date of the incident, potentially counting the incident in a different month than when it occurred. In this study, incidents in which the dates of reports were used accounted for 19.5 percent of the incidents reported as having occurred in school locations. However, the percentages by month for the dates of reports and the actual dates of incidents are very similar (within 0.5 percent for each month), which indicates that only a small percentage of incidents may have occurred in prior months.

Table 7: Incident and Report Date of Crime in Schools by Month, by Year

Year of Incident
Month 2000 2001 2002 2003 2004 IncidentDates5-Year Total ReportDates5-Year Total
January 6,660 9,275 9,717 10,010 10,610 46,272 9,160
February 8,316 9,781 10,394 10,168 12,808 51,467 9,794
March 9,069 12,056 10,362 12,393 14,483 58,363 11,739
April 7,739 10,520 11,058 12,462 13,038 54,817 10,287
May 8,230 10,920 11,050 12,297 12,337 54,834 10,883
June 4,527 5,187 4,901 5,992 6,019 26,626 5,705
July 3,102 3,880 3,894 4,213 4,245 19,334 4,132
August 4,093 5,167 5,267 5,556 6,063 26,146 4,615
September 8,814 10,539 11,490 12,852 13,722 57,417 10,888
October 10,136 12,919 13,183 15,192 15,296 66,726 12,893
November 8,090 10,553 10,829 11,264 13,178 53,914 10,538
December 5,851 8,442 8,322 9,366 10,322 42,303 7,994
Total Incidents 84,627 109,239 110,467 121,765 132,121 558,219 108,628

Note: Report date counts are included in incident date totals. See the study text for specific data definitions, uses, and limitations.

The particular types of weapons/force used are shown in Table 8.19 The most common weapon type reported was personal weapons (the offender’s hands, fists, feet, etc.), which were reported 98,394 times. Personal weapons were 3.4 times more likely to have been reported than any other weapon type (excluding None and Unknown). The weapon type None was reported 16,260 times in the study, which is relatively large compared to the other known weapon types. See the table in Appendix B for a cross-table of weapon type by offense type.

Of the 3,461 times guns were reportedly used, handguns were most often reported (58.0 percent).20 Knives/cutting instruments were reportedly used 10,970 times, which outweighs the number of times guns were used by 3.2 to 1. Law enforcement reported the weapon type Other 11,680 times.21 This is quite significant when compared to specific weapon types; however, NIBRS data cannot indicate what types of weapons would fit into this category. The Other weapon category may contain, for example, acid, pepper spray, belts, deadly diseases, scalding hot water, or other weapon types not covered by the NIBRS weapon type codes.

Table 8: Type of Weapon/Force Used in Crime in Schools, by Year

Year of Incident
Weapon Type/Force Used 2000 2001 2002 2003 2004 5-Year Total
Personal Weapons 12,945 17,830 20,636 21,933 25,050 98,394
None 2,702 3,114 2,974 3,294 4,176 16,260
Other 1,775 2,311 2,332 2,420 2,842 11,680
Knife/Cutting Instrument 1,511 2,082 2,080 2,445 2,852 10,970
Handgun 307 376 398 430 497 2,008
Blunt Object 283 404 394 455 469 2,005
Firearm (type not stated) 94 131 103 135 146 609
Other Firearm 74 107 92 155 154 582
Explosives 145 139 93 89 95 561
Motor Vehicle 43 52 46 59 71 271
Fire/Incendiary Device 36 34 42 36 88 236
Rifle 23 33 33 24 37 150
Shotgun 15 24 30 19 24 112
Drugs/Narcotics/Sleeping Pills 9 4 8 14 6 41
Poison 1 8 4 11 16 40
Asphyxiation 2 1 3 6 2 14
Unknown 593 1,128 1,163 1,069 1,098 5,051

Note: See the study text for specific data definitions, uses, and limitations.

Table 9 provides the reported instances in each offense record in which the offenders were suspected of using alcohol, computers, and/or drugs.22 The data show that such use was minimal in situations occurring at schools during the 5-year study period. Of the 589,534 offense records, reports of offenders suspected of using drugs totaled 32,366, while reports of alcohol use totaled 5,844. Suspected computer use by offenders was reported for 1,655 instances. The offender’s suspected use of one or more of these items may have occurred during or shortly before the incident, and the use may have occurred in another location.

Table 9: Reports of Offenders Suspected of Using Alcohol, Computers and/orDrugs in Crime in Schools, by Year

Year of Incident
Use Category 2000 2001 2002 2003 2004 5-Year Total
Alcohol 998 1,134 1,154 1,212 1,346 5,844
ComputerEquipment 376 409 306 256 308 1,655
Drugs/Narcotics 4,478 6,233 6,146 7,253 8,256 32,366
Not Applicable 83,194 108,315 110,051 120,163 129,745 551,468

Note: See the study text for specific data definitions, uses, and limitations.

Arrestee CharacteristicsIn addition to the exploration of offenders, it is also important to examine the characteristics of the arrestees associated with crimes in schools. Though 211,809 offender reports for the 5-year study period were such that age, gender, race, and number of offenders were not reported, some or all of these characteristics were available for 181,468 persons arrested for offenses that occurred at schools. (See Table 2.)

Table 10 shows the offense for which the arrestee was apprehended. The most common offense code reported in arrestee records was simple assault–a crime against persons, followed by drug/narcotic violations–a crime against society. These two arrest offense codes were reportedly associated with more than half (52.2 percent) of the total arrestees. Destruction/damage/vandalism of property accounted for a relatively small portion of arrestees (6.6 percent). All other larceny and burglary, both crimes against property, involved 5.8 and 5.0 percent of the arrestees, respectively. Each of the remaining arrest offense codes accounted for less than 5.0 percent of the arrestees. Note that the arrest code does not necessarily match any of the offense codes in an offense segment in the same incident.

\

Table 10: Arrestees of Crime in Schools, by Offense, by Year

Year of Incident
Offense 2000 2001 2002 2003 2004 5-Year Total
Crimes Against Persons:
Simple Assault 6,436 9,136 10,120 11,550 14,220 51,462
Intimidation 830 1,631 1,327 1,434 1,776 6,998
Aggravated Assault 1,009 1,228 1,291 1,427 1,531 6,486
Forcible Fondling 231 300 357 341 446 1,675
Kidnapping/Abduction 43 66 78 80 107 374
Forcible Rape 48 55 31 65 60 259
Sexual Assault With An Object 12 10 34 26 36 118
Forcible Sodomy 19 20 23 20 22 104
Statutory Rape 9 13 11 16 30 79
Murder and Nonnegligent Manslaughter 1 7 7 7 5 27
Incest 0 0 5 2 5 12
Negligent Manslaughter 0 0 0 3 0 3
Crimes Against Property:
Destruction/Damage/Vandalism of Property 1,755 2,141 2,210 2,665 3,138 11,909
All Other Larceny 1,579 2,004 2,004 2,336 2,689 10,612
Burglary/Breaking and Entering 1,430 1,679 1,698 2,130 2,066 9,003
Theft From Building 1,188 1,387 1,440 1,845 1,973 7,833
Stolen Property Offenses 213 256 313 434 476 1,692
Arson 217 234 253 298 356 1,358
Theft From Motor Vehicle 183 205 208 288 274 1,158
Counterfeiting/Forgery 144 210 209 204 207 974
Shoplifting 124 176 165 165 217 847
Motor Vehicle Theft 144 136 182 195 166 823
Robbery 104 144 163 200 191 802
False Pretenses/Swindle/Confidence Game 59 90 155 85 116 505
Impersonation 52 71 120 67 124 434
Theft From Coin-Operated Machine or Device 71 101 80 54 87 393
Theft of Motor Vehicle Parts or Accessories 58 79 56 73 65 331
Credit Card/Automatic Teller Machine Fraud 38 47 42 51 43 221
Embezzlement 29 41 37 62 45 214
Pocket-Picking 33 30 36 33 38 170
Purse-Snatching 18 25 22 38 41 144
Extortion/Blackmail 15 32 22 12 29 110
Wire Fraud 2 2 3 4 8 19
Bad Checks 0 2 4 2 2 10
Bribery 1 1 0 3 3 8
Crimes Against Society:
Drug/Narcotic Violations 5,819 7,860 7,850 9,949 11,816 43,294
Weapon Law Violations 1,219 1,625 1,510 1,872 2,297 8,523
Drug Equipment Violations 717 1,030 967 1,123 1,271 5,108
Disorderly Conduct 194 496 557 751 947 2,945
Trespass of Real Property 79 121 118 192 186 696
Liquor Law Violations 82 123 74 158 157 594
Drunkenness 24 28 50 46 54 202
Pornography/Obscene Material 20 34 49 16 36 155
Driving Under the Influence 9 16 18 27 25 95
Curfew/Loitering/Vagrancy Violations 15 10 25 30 14 94
Betting/Wagering 2 2 13 19 19 55
Prostitution 2 5 4 5 6 22
Operating/Promoting/Assisting Gambling 0 12 0 7 0 19
Gambling Equipment Violations 0 10 2 7 0 19
Family Offenses, Nonviolent 0 0 2 7 9 18
Assisting or Promoting Prostitution 0 0 0 5 1 6
Crimes Against Persons, Property, and Society:
All Other Offenses 358 330 410 621 674 2,393
Non-Crime:
Runaway271957563
">Total Persons Arrested">">33,280">34,360">41,057">48,109">181,468

Note: See the study text for specific data definitions, uses, and limitations.

The largest group of arrestees about whom the age23 was known (41.8 percent) was 13 to 15 year olds. Arrestees who were 16 to 18 years old accounted for 32.7 percent; 19 or older, 14.2 percent; 10 to 12 years old, 10.2 percent; and 5 to 9 years old, 1.1 percent. Twelve arrestees who committed crimes at schools were reportedly age 4 or under.24 For those arrestees about whom the age was known, arrestees were 6.0 times more likely to be 18 years of age or younger than to be 19 years of age or older. The age was unknown for 171 of the arrestees. (Based on Table 11.)

Table 11: Arrestees of Crime in Schools, by Age1, by Year

Year of Incident
Age (Years)2000 class="bg-color-bebebe">20012002200320045-Year Total
0–4 2 3 0 3 4 12
5–9 358 472 410 376 412 2,028
10–12 2,494 3,539 3,607 4,093 4,672 18,405
13–15 10,138 13,960 14,351 17,107 20,266 75,822
16–18 7,863 10,609 10,987 13,726 16,052 59,237
19 or Older3,7704,6444,9805,7266,67325,793
Unknown Age3753252630171
Total Arrestees24,66233,28034,36041,05748,109181,468

1Law enforcement may report a range of ages. NIBRS reports the midpoint of the age range (e.g., offender age 25-35 is reported as 30).Note: See the study text for specific data definitions, uses, and limitations.

During the 5-year period, 78.2 percent of the 181,468 arrestees were males, who were 3.6 times more likely to be arrested than females. (Based on Table 12.)

Table 12: Arrestees of Crime in Schools, by Gender, by Year

Year of Incident
Gender 2000 2001 2002 2003 2004 5-Year Total
Male 19,717 26,343 26,812 32,146 36,868 141,886
Female 4,945 6,937 7,548 8,911 11,241 39,582
Total Arrestees24,66233,28034,36041,05748,109181,468

Note: See the study text for specific data definitions, uses, and limitations.

Of the 179,109 arrestees about whom the race was known, 72.8 percent were white; 25.3 percent were black; and 1.9 percent were all other race categories combined. White was 2.7 times more likely to be reported as the arrestee race than were any of the other race categories. A total of 2,359 arrestees were reported with an unknown race. (Based on Table 13.)

Table 13: Arrestees of Crime in Schools, by Race, by Year

Year of Incident
Race 2000 2001 2002 2003 2004 5-Year Total
White 18,589 24,194 24,943 29,084 33,518 130,328
Black 5,308 8,032 8,274 10,663 13,077 45,354
Asian/PacificIslander 277 410 383 523 521 2,114
AmericanIndian/AlaskanNative 171 232 289 268 353 1,313
Unknown Race 317 412 471 519 640 2,359
Total Arrestees 24,662 33,280 34,360 41,057 48,109 181,468

Note: See the study text for specific data definitions, uses, and limitations.

Law enforcement agencies submitting NIBRS data are not required to report the ethnicity of the arrestee to the FBI. Of the 136,957 arrestees about whom ethnicity was known and reported, 89.4 percent were non-Hispanic. Excluding unknown ethnicity, arrestees were 8.4 times more likely to be non-Hispanic. (Based on Table 14.) There were 18,208 arrestees about whom the ethnicity status was not reported during the 5-year study period.

Table 14: Arrestees1 of Crime in Schools, by Ethnicity, by Year

Year of Incident
Ethnicity 2000 2001 2002 2003 2004 5-Year Total
Hispanic 1,729 2,439 2,862 3,439 4,103 14,572
Non-Hispanic 16,791 22,783 23,631 27,638 31,542 122,385
Unknown Ethnicity 3,793 4,440 4,631 5,820 7,619 26,303
Total Arrestees1 22,313 29,662 31,124 36,897 43,264 163,260

1Over the 5-year study period, there were 18,208 arrestees for whom the ethnicity was not reported.Note: See the study text for specific data definitions, uses, and limitations.

As with supplying the ethnicity of an arrestee, providing resident status for an arrestee is an optional reporting field in the NIBRS. For the purpose of this study, a resident is a person who maintains his/her permanent home for legal purposes in the locality (that is, town, city, or community) where the school is located and in which the crime occurred.25 Of the 145,339 arrestees about whom resident status was known and reported, 79.2 percent were residents. When the resident status was known, arrestees were nearly 3.8 times more likely to be residents of the community in which the crime took place. (Based on Table 15.) During the 5 years of data submissions from 2000 to 2004, there were 17,767 arrestees about whom resident status was not reported to the UCR Program.

Table 15: Arrestees1 of Crime in Schools, by Resident Status, by Year

Year of Incident
Resident Status 2000 2001 2002 2003 2004 5-Year Total
Resident2 15,367 20,661 21,609 26,294 31,112 115,043
Nonresident 4,278 5,686 5,768 6,811 7,753 30,296
Unknown Residence 2,263 3,155 3,193 4,294 5,457 18,362
Total Arrestees1 21,908 29,502 30,570 37,399 44,322 163,701

1Over the 5-year study period, there were 17,767 arrestees for whom the resident status was not reported.2A resident is a person who maintains his/her permanent home for legal purposes in the locality (i.e., town, city, or community) where the crime took place.Note: See the study text for specific data definitions, uses, and limitations.