Montana Board of Crime Control 2016

Crime In Montana January 1 - December 31, 2016

Using data to help build safer communities. 2016 Crime in Montana Report

Published by the Montana Board of Crime Control Statistical Analysis Center

Laura Obert, Chair Deb Matteucci, Executive Director

This report was compiled by the Montana Board of Crime Control Statistical Analysis Center Staff:

Kathy Wilkins, Data Unit Manager Kathy Ruppert, Data Manager Candy Kirby, Quality Assurance Reviewer

Published: September 2017 Montana Board of Crime Control  5 S Last Chance Gulch  Helena, MT 59601 (406) 444-3604  Fax: (406) 444-4722  TTY: (406) 444-7099

Permissions and Credits

You may make copies of sections of Crime in Montana for noncommercial, educational use. No reprint of this document or parts thereof should be used in a way that could be understood as expressed or implied endorsement of a commercial product, service, or company.

The Montana Board of Crime Control attempts to provide reasonable accommodations for any known disability that may interfere with a person participating in this service. Alternative accessible formats of this document will be provided upon request. For more information, call MBCC at: (406) 444-3604.

The views expressed in this publication do not necessarily reflect the official policies of the U.S. Department of Justice; nor does the mention of trade names, commercial practices, or organizations imply endorsement by the U.S. government.

Suggested citation: Wilkins, Kathy. "Crime in Montana 2016," Montana Board of Crime Control, 2017. Table of Contents

Montana Incident-Based Reporting System 1 Index Crime Details: Property Offenses 41 Larceny/Theft Offenses 41 Categorizing Crime Incidents 2 Burglary 47 Motor Vehicle Theft 53 Considerations and Limitations of the Data 3 Population 7 Other Group A Crimes 57 Simple Assault & Intimidation 57 Partner or Family Member Assaults 62 Crime in Big Sky Country 9 Drug Offenses 67 What offenses are occurring? 9 Fraud Offenses 73 Where are offenses taking place? 11 Other Non-Index Group A Crime 77 Where are the lowest offense rates? 12 What do we know about offenders? 13 What don't we know about offenders? 14 Group B Crimes 79 Who are the victims of offenses? 15 Driving Under the Influence (DUI) 79 What don't we know about victims? 16 Liquor Law Violations 83 When are offenses happening? 17 Non-Violent Family Offenses 86 All Other Group B Offenses 87 Index Crime Trends 18 Violent & Property Index Crime 18 Juvenile Crime Information 89 Index Crimes - Violent 19 Index Crimes - Property 20 Crime Where You Live 93 County Rates & Ranks 95 Index Crime Details: Violent Offenses 21 County Income, Labor & Property Highs & Lows 97 Aggravated Assaults 21 Index Crimes & Offenses By Jurisdiction 99 Rape 27 Other Forcible and Non-Forcible Sex Offenses 32 Robbery 35 Appendices 105 Homicide 39 Appendix A: 2016 MBCC Board of Directors 105 Appendix B: Offenses Reported to MBCC 107 Appendix C: NIBRS/MTIBRS Data Elements 111 Appendix D: Glossary of Terms 112 Welcome to the Crime in Montana Report Using data to help build safer communities.

If you are reading this report, you are probably interested in keeping Montana a safe place to live and making it the best place to call home. This report is just one of many tools Montana can use to identify the right building blocks for safer communities, to be used at the right time and the right place. Crime in Montana gives you a big picture look at what is happening across the state and a peek at what is happening where you live.

The Montana Board of Crime Control (MBCC) has resources to provide information and strategies to tackle issues in your community. Visit the MBCC website at mbcc.mt.gov to learn more or lend a hand putting these building blocks to work for your neighbors, coworkers, family and friends.

Data can be very helpful. It is important to know more about the data detailed in this report in order to make better decisions or to just understand what the data can and can’t tell you. Let’s first go over what data is collected and what to keep in mind as you look through the various sections.

The Uniform On February 9, 2016, FBI Director James B. Comey signed the Crime following Advisory Process Board recommendation regarding the Reporting National Incident-Based Reporting System (NIBRS). (UCR) program was “The FBI UCR Program will transition to a NIBRS-only data developed in collection by January 1, 2021, and will evaluate the probability of the late achieving that goal on an annual basis. Federal, state, local, and 1920s by the tribal agencies unable to meet the five year transition and who have committed to transitioning to NIBRS will collaborate with the FBI Committee on Uniform Crime Records 1 of the International Association of CJIS to develop a transition plan and timeline for conversion.” Chiefs of Police. The UCR program is overseen by the Federal Bureau of Montana is out in front on this initiative. Montana is one of 16 Investigation (FBI). The program has states that submit 100% NIBRS data, beginning the conversion served as a tool for measuring crime in from UCR to NIBRS in 1990. In 1992, Montana became one of America from a law enforcement the first states to be 100% NIBRS compliant continuing through perspective. Annually, more than today. NIBRS is based upon the concept that each crime, and all

18,000 agencies contribute data to the 1 "Federal Bureau of Investigation UCR Program Quarterly April 2016." Accessed FBI. online on May 12, 2016

Page 1 Data. A building block for safer communities. of its components, is viewed as an incident. Certain victim. The national program only wants the facts about the incidents are then recorded and aggravated assault but the state program will accept organized into segments. The segments that make up both offense codes. a typical incident are: 1) administrative; 2) offense; 3) property; 4) victim; 5) offender; and 6) arrestee. The last difference is that MTIBRS collects administrative, offense, property, victim, offender The NIBRS interactive map (https://nibrs.fbi. and arrestee information on all offenses. NIBRS gov/) provides an interesting picture of the nation’s collects the same information only on Group A progress with NIBRS reporting. It also demonstrates offenses and Group B offenses with an arrest. Group Montana’s leadership with NIBRS data among the A and B offenses are covered in detail later in this states. report.

NIBRS is capable of producing more detailed, ThisCrime in Montana 2016 report is based accurate, and meaningful crime data than can be primarily on data from the MTIBRS. The amount produced by the UCR summary method. When of information collected in the MTIBRS cannot utilized to its fullest capability, NIBRS gives law be wholly analyzed in a publication of this size. enforcement the ability to identify when and where However, it provides the means to measure the level crimes occur and the characteristics of those crimes, of crimes known to law enforcement in Montana and such as the demographics of victims and offenders, showcases the level of detail the data provides. and certain features of the offense such as the use of alcohol in the commission of a crime. Specifically, The accuracy and usefulness of the NIBRS/MTIBRS Montana’s law enforcement has the capability to data is paramount to the success of the program. The identify and combat criminal issues such as juvenile Montana Board of Crime Control (MBCC) would gangs, white-collar crime, weapons offenses, drug/ like to thank all law enforcement agencies for their narcotic offenses, drug/alcohol involvement in the hard work and dedication to the MTIBRS program. commission of a crime, domestic violence, and hate crimes. Categories are often used to Montana has implemented a state-specific version group crimes together in a of NIBRS called the Montana Incident-Based meaningful way. Reporting System (MTIBRS). There are three Traditionally, offenses are differences between the two reporting systems. grouped into index crimes The first difference is that our state system collects and non-index crimes. five more data elements than the national system. Index crimes include Those data elements pertain to domestic abuse, gang homicide, rape, robbery, activity, gambling, mental health, and drug task force aggravated assault, burglary, larceny/theft, and motor incidents; each has been determined to be important vehicle theft. Arson was also later added as an index to Montana. crime to NIBRS, but arson is not counted as an index crime in Montana. Index crimes were chosen The MTIBRS also collects all combinations of because traditionally they are the offenses that are the offenses within an incident. The MTIBRS data is highest in severity and would be most commonly exported to NIBRS with a filter that excludes lesser reported to law enforcement. included offenses for specific combinations. An example of this is when an aggravated assault is The seven index crimes are further subcategorized submitted along with a simple assault on the same into violent crimes and property crimes. The sum

See more about your community at: crimein.MT.gov Page 2 of the seven index crimes is the crime index. The limitations. The most important limitation is crime index gauges the level of crime in a geographic that the UCR is a measure of reported crime. As region. many crimes go unreported to the police, it is not a measure of all crime. The 2012 National Crime In NIBRS, the list of reportable offenses has greatly Victimization Survey conducted by the United States expanded beyond the seven index crimes. This Bureau of Justice Statistics indicated that as few as expanded list can be grouped into two different 48% of serious violent crimes (rape or sexual assault, categories: Group A offenses and Group B offenses. robbery, or aggravated assault) and 40% of property crimes are reported to law enforcement agencies. Group A offenses include the following: arson, assault, bribery, burglary, counterfeiting/forgery, criminal mischief/vandalism, drug offenses, ...many crimes go unreported... embezzlement, extortion/blackmail, fraud, gambling, homicide, kidnapping, larceny/theft, motor vehicle theft, obscenity/pornography, robbery, forcible sex offenses, non-forcible sex offenses, stolen property Some crimes are reported more regularly than offenses, human trafcking and weapon law other crimes. Some jurisdictions experience higher violations. reporting rates. The degree to which citizens report criminal activity or victimization may change from Group B offenses include the following: bad checks, year to year. These common issues can give the curfew/loitering/vagrancy, disorderly conduct, appearance that the crime rate is changing, when it is driving under the influence, non-violent family actually the rate people report crime that is changing. offenses, liquor law violations, drunkenness, peeping The rate of reporting crimes to law enforcement can Tom, trespassing, and all other offenses. Montana be affected by the following: perception of crime differs slightly from NIBRS as information on incident as a public or private matter by the citizen drunkenness is not collected. or the police; perception of legal seriousness of a crime incident by the citizen or the police; victim- Both Group A and Group B offenses are broken offender relationships; desires of the complainant; down even further based on state law. A complete citizen confidence in the police and/or criminal list of the almost 300 offense codes can be found in justice system; changes in police policy; and media the appendices of this report. coverage.

Several factors can influence counts in jurisdictions. The UCR has been the Carefully consider the following factors when most widely used measure viewing crime statistics: of crime for more than 80 years. However, it is ff Local law enforcement resources and policies; important to note that UCR and NIBRS data ff Variations in the demographics of the population, only provide estimates of particularly age structure; the true crime rate. That ff Population density and size of locality and is why it is important surrounding area; to obtain accurate, reliable crime data from law enforcement and the public. The more accurate the ff Stability of population with respect to residents’ data, the lower the error rate in an estimate of the mobility, commuting patterns, and transient actual volume and rates of criminal activity. factors; The crime index data used by the UCR does have

Page 3 Data. A building block for safer communities. ff The presence or absence of interstate highways, gather all offense data for Montana use only. The major state highways, or ports of entry; data is then filtered for submission to NIBRS, including only Group B crimes with an associated ff Economic conditions, such as median income arrest. and job availability; ff Cultural conditions such as education, recreation, and religious characteristics; ...data collection or grouping can change ff Family conditions with respect to divorce and offense results over time... family cohesiveness; ff Effective strength and size of law enforcement agencies; The MBCC’s Statistical Analysis Center (SAC) strives to improve the accuracy and the validity of the data ff Administrative and investigative emphasis of it receives from law enforcement agencies. For law enforcement; Montana to keep its crime reporting certification, ff Policies of other components of the criminal the FBI maintains that reporting law enforcement justice system (e.g., prosecutorial, judicial, agencies must maintain an error rate of 4% or less. correctional, and probation/parole systems); In 2011, the SAC integrated many data reports to continue improving the accuracy of the data. This f f Attitudes of citizenry toward crime; resulted in successfully meeting federal benchmarks ff Crime reporting practices of citizenry; and in 2014. ff Illegal drug supply, cost, and demand. Montana has advanced enough over the years to dig further into data. Additional reports were developed in 2016 to identify and assist local jurisdictions in ...reporting practices can vary... correcting not only errors, but data that does not pass a “reasonableness check”. For example, an offender arrested for murder is reported as being two-years The reporting practices of law enforcement can old rather than 52 years old. In the past, this level of create the illusion of an increase or decrease in the data error might not have been noticed. crime rate when the landscape of crime activity is unchanged. ...adjustments to accuracy can alter In 1990, Montana began the conversion from the trends over time... summary UCR format to the NIBRS format. The increased specificity in reporting changed the way crimes were classified and counted. Even with these new steps to improve data validity, Beginning in 2010, the MTIBRS underwent some Crime in Montana is not a complete count of all significant changes. The most significant change crime in Montana. Many crimes go unreported implemented in 2010 relates to Group B offense not only by victims but also by law enforcement. information. At the start of 2010, NIBRS required Gathering this statewide crime data is voluntary for law enforcement agencies to report Group B law enforcement agencies which means some crimes incident information only when an arrest/citation are never ofcially recorded and counted. occurred clearing that incident. Previously, Group B incident data was submitted to MTIBRS In 2016, 100 of 105 Montana reporting law regardless of an arrest. MTIBRS continues to enforcement agencies submitted 12 months of

See more about your community at: crimein.MT.gov Page 4 MTIBRS data electronically. Four agencies did not allow the data to be analyzed without being updated report data. The four non-reporting agencies cover a with incoming data. total population of only 6,115 residents. This is less than 1% of the state population. Consistent with previous Crime in Montana reports, the crime index (the sum total of the seven index Additionally, this analysis did not include data from crimes) is used sparingly in this publication due to state and federal law enforcement agencies such as its limited scope. The crime index masks important the Montana Highway Patrol, U.S. Marshall’s Ofce, fluctuations in other types of criminal activity. or Montana Fish, Wildlife, and Parks. Consequently, However, violent crime (homicide, rape, robbery, and certain offenses such as poaching are not represented aggravated assault) and property crime (burglary, in this publication. larceny/theft, and motor vehicle theft) long-term trends are analyzed. The volume and fluctuation of all This analysis did not include crime reported to seven individual index crimes is also reported. tribal law enforcement agencies. Tribal crime data is This publication also covers more broad measures submitted to the FBI through the Bureau of Indian of criminal activity known to law enforcement Affairs and is not shared with the state. Tribal including the following: nations make up a large land mass in Montana. As a result, a significant portion of Montana’s land area ff Crimes Against Persons: the total of aggravated was not included in this analysis. assault, simple assault, forcible rape, forcible sodomy, forcible fondling, incest, statutory rape, sexual assault with an object, intimidation, homicide, justifiable homicide, negligent ...missing data from other law manslaughter, and kidnapping. enforcement agencies or tribes... ff Crimes Against Property: the sum of larceny/ theft, arson, bribery, burglary/breaking and entering, counterfeiting/forgery, fraud, The MTIBRS is a dynamic database, meaning the vandalism, embezzlement, motor vehicle theft, data within it is constantly changing and evolving robbery, and stolen property offenses (e.g., as law enforcement investigate and discover crime illegally possessing stolen property). incidents. While trends should be consistent and not ff Crimes Against Society: the sum total of influenced by system changes, for example, adding prostitution/assisting and promoting, gambling new offense types or deleting old ones, it is possible offenses, drug narcotic and drug equipment to see slight changes in rates. These changes may violations, sports tampering, pornography/ be due to a break in series from the system change obscene material offenses, and weapon law rather than external social forces or actual changes in violations. criminal activity. A significant break in series is noted if it is attributable to system changes. In addition, data from previous years may be updated and may ...changes after the snapshot and to crime not match previous issues of Crime in Montana or the reporting groupings... data contained within the MTIBRS Online Reporting website. Changes made during each legislative session also To counteract some of these influences of this modifies the way data is reported. For example, dynamic data system, this analysis is based on in 1987, legislation was enacted which required calendar year 2016 crime data reported to MBCC’s reporting domestic violence as partner and family MTIBRS as of April 24, 2017. On April 24th, the member assault and defining it as criminal conduct. data was extracted to a second version of MTIBRS to

Page 5 Data. A building block for safer communities. Partner or family member assault began to be by a state that submits data exclusively in UCR reported in the 1989 Crime in Montana as a subset of Summary format may not be accurate. other/simple assaults. In the 2001 Crime in Montana report, partner or family member assault was This data may be used to compare Montana counties, grouped as a separate category that included simple taking into consideration the differences between assaults and aggravated assaults that are a result of counties. This data is also effective in comparing partner and family member assault. trend data at the county and state level. As noted above, there are inherent limitations in the reporting The result is the appearance of an increase in the procedure that make it impossible to capture 100% partner and family member assault (domestic of all criminal activity and offenses. Differences in violence) rate because the aggravated partner and reporting standards and procedures by both law family member assaults were included with the enforcement and the public must be considered. simple partner and family member assaults to However, with appropriate care and reflection, construct a separate accounting of the problem. This this data can be particularly useful for research or added several additional offenses that may not have analysis. been included in the past, and may be a contributing factor to apparently higher rates. All of these factors or conditions need to be considered when comparing data over time and The aggravated assault numbers and rates, as well when comparing with other jurisdictions. as the simple assault numbers and rates include partner and family member assaults. Partner and In 2011, the Montana SAC completed an upgrade family member assault numbers and rates must be to the MTIBRS. A new web-based repository was considered separately from the rest of the crime completed which allows agencies easier access to index. submit and verify data. The repository is successfully helping with the accuracy and consistency of the Similarly, in late 1998, the defining characteristics data. In addition to the web-based repository, the for reporting aggravated assault changed to include new MTIBRS has an interactive web-based tool that more incidents; the rate increased from 191.3 in 1999 allows the public and law enforcement access to all to 293.3 in 2003–an apparent increase of over 50% in MTIBRS data elements. This interactive system, three years. The reporting procedure has changed, MTIBRS Online Reporting (MOR), allows users to which may have affected the rateCrime in Montana create reports based on any number of data elements reports. dating back to 2005. MOR can be found online at mbcc.mt.gov under Data, then Crime Data & Maps.

...changes in laws & legislation... Need help or have a question?

These broad measures closely resemble property crime and violent crime indexes but take into Montana Board of Crime Control account a wider range of offenses. Statistical Analysis Center SAC Director/Statistician (SAC) Changes in rates of offense or types of offense can be PO Box 201408  Helena, MT 59620 compared with appropriate attention to detail. Use (406) 444-3604  TTY: (406) 444-7099 caution when comparing Crime in Montana 2016 Web Page: www.mbcc.mt.gov data with other states’ data, as there are differences in reporting standards and procedures. For example, comparing Montana crime data with data gathered

See more about your community at: crimein.MT.gov Page 6 The population used to determine the crime rate for index offenses is calculated based on the total population coverage of the law enforcement agencies reporting twelve months of crime data to the MTIBRS.

The population estimates used in this analysis come from the FBI’s estimation of population coverage by Montana’s law enforcement agencies. The FBI derived these population estimates from the U.S. Census Bureau’s annual population estimates. The 2016 population is taken from the 2016 U.S. Census population estimates.

Since 1974, Crime in Montana has included the reporting status of all non-Tribal local law enforcement agencies. Almost 100% of Montana’s population is covered by the 100 non-Tribal law enforcement agencies (LEAs) reporting 12 months of crime data. In some cases, the data may not be fully complete and may be updated in future editions of this publication. None of the seven tribal law enforcement jurisdictions report crime data to the MBCC’s MTIBRS. See the Local Law Enforcement Summaries section at the end of this document for a list of all reporting agencies.

BEAVERHEAD 9,318 FALLON 3,256 JUDITH BASIN 1,901 PARK 16,060 SANDERS 11,331 Beaverhead SO 5,094 Baker PD 2,063 Judith Basin SO 1,901 Livingston PD 7,364 Hot Springs PD 548 Dillon PD 4,224 Fallon SO 1,193 Park SO 8,696 Plains PD 1,053 LAKE 29,614 Sanders SO 8,396 BIG HORN 13,319 FERGUS 11,402 Lake SO 22,052 PETROLEUM 472 Thompson Falls PD 1,334 Big Horn SO 13,319 Fergus SO 5,539 Polson PD 4,744 Petroleum SO 472 Lewistown PD 5,863 Ronan PD 1,998 SHERIDAN 3,756 BLAINE 6,599 PHILLIPS 4,155 St. Ignatius PD 820 Sheridan SO 3,756 Blaine SO 5,366 FLATHEAD 97,327 Phillips SO 4,155 Chinook PD 1,233 Columbia Falls PD 5,175 LEWIS & CLARK 67,039 SILVER BOW 34,724 PONDERA 6,192 Flathead SO 62,456 East Helena PD 2,065 Silver Bow SO 34,724 BROADWATER 5,706 Conrad PD 2,594 Kalispell PD 22,470 Helena PD 31,052 Broadwater SO 5,706 Pondera SO 3,598 STILLWATER 9,568 Whitefish PD 7,226 Lewis and Clark SO 33,922 Columbus PD 2,072 CARBON 10,485 POWDER RIVER 1,783 GALLATIN 103,192 LIBERTY 2,421 Stillwater SO 7,496 Bridger PD 733 Powder River SO 1,783 Belgrade PD 8,146 Liberty SO 2,421 Carbon SO 7,065 SWEET GRASS 3,638 Bozeman PD 44,739 POWELL 6,809 Fromberg PD 445 LINCOLN 18,940 Sweet Grass SO 3,638 Gallatin SO 47,298 Deer Lodge PD 2,938 Red Lodge PD 2,242 Eureka PD 1,078 Manhattan PD 1,656 Powell SO 3,871 TETON 6,113 Libby PD 2,646 CARTER 1,186 West Yellowstone PD 1,353 Teton SO 6,113 Lincoln SO 14,340 PRAIRIE 1,156 Carter SO 1,186 GARFIELD 1,343 Troy PD 876 Prairie SO 1,156 TOOLE 5,041 CASCADE 82,482 Garfield SO 1,343 Toole SO 5,041 MADISON 7,967 RAVALLI 41,610 Cascade SO 22,765 GLACIER 13,700 Ennis PD 895 Hamilton PD 4,659 TREASURE 693 Great Falls PD 59,717 Cut Bank PD 3,023 Madison SO 7,072 Ravalli SO 35,011 Treasure SO 693 CHOUTEAU 5,762 Glacier SO 10,677 Stevensville PD 1,940 MCCONE 1,673 VALLEY 7,723 Chouteau SO 4,303 GOLDEN VALLEY 817 Mccone SO 1,673 RICHLAND 12,468 Glasgow PD 3,442 Fort Benton PD 1,459 Golden Valley SO 817 Richland SO 5,278 Valley SO 4,281 MEAGHER 1,820 CUSTER 12,234 Sidney PD 7,190 GRANITE 3,277 Meagher SO 1,820 WHEATLAND 2,102 Custer SO 3,356 Granite SO 3,277 ROOSEVELT 11,703 Wheatland SO 2,102 Miles City PD 8,878 MINERAL 4,261 Roosevelt SO 8,802 HILL 16,670 Mineral SO 4,261 WIBAUX 1,159 DANIELS 1,764 Wolf Point PD 2,901 Havre PD 9,896 Wibaux SO 1,159 Daniels SO 1,764 MISSOULA 115,226 Hill SO 6,774 ROSEBUD 9,434 Missoula PD 43,366 YELLOWSTONE 158,943 DAWSON 9,775 Colstrip PD 2,359 JEFFERSON 11,704 Missoula SO 71,860 Billings PD 111,447 Dawson SO 4,167 Rosebud SO 7,075 Boulder PD 1,213 Laurel PD 6,986 Glendive PD 5,608 MUSSELSHELL 4,593 Jefferson SO 10,491 Yellowstone SO 40,510 Musselshell SO 4,593 DEER LODGE 9,114 Deer Lodge SO 9,114

Page 7 Data. A building block for safer communities. Population by County and Jurisdiction Montana has an aging population. The largest age Reporting Population by Year cohort is 55 to 59 years, making up 7.9% of the total Year 2014 2015 2016 population. The median age in 2015 was 39.7 years, Reporting up from 37.5 in the 2000 Census. The median age for 988,268 1,008,702 1,036,405 Population females in 2015 is 40.9, slightly higher than males at 38.6 years. Population 1,023,579 1,032,949 1,042,520 Estimate According to USA.com, the top three fastest growing % Covered 97% 98% 99% counties in Montana remain Gallatin, Broadwater, Population and Flathead. The most populous county is Yellowstone followed by Missoula, Gallatin, Flathead, and Cascade. Population Estimates by Race/Ethnicity 2015* % Of 2015* Esmated Age Distribuon Race/Ethnicity Total White 89.2% 85 years and over 80 to 84 years African American 0.6% 75 to 79 years American Indian 6.6% 70 to 74 years Asian 0.8% 65 to 69 years Native Hawaiian/Other Pacific Islander 0.1% 60 to 64 years Other/Two or more races 2.7% 55 to 59 years 50 to 54 years Hispanic – Any Race 3.6% 45 to 49 years 40 to 44 years * 2016 race/ethnicity estimates were not available at the time of this report 35 to 39 years 30 to 34 years 25 to 29 years 20 to 24 years Note: The total percentage will exceed 100% be- 15 to 19 years cause of the categories Other/Two or more races and 10 to 14 years Hispanic – Any Race. Population and race data were 5 to 9 years gathered using the U.S. Census Bureau 2015 State Under 5 years and County Quickfacts. Accessed online on April 25, 2017. 0 20,000 40,000 60,000 80,000 Male Female Montana’s breakdown of ethnicity, based on 2015 census estimates, is predominantly White (89.2%). American Indians account for the second largest racial group in Montana (6.6%). The fastest growing racial group from 2000 to 2010 was Hispanic, increasing in population size over the ten year period by 58%. African American populations also grew at about 50% during that time; however, minority groups only account for 12% of Montana’s total population.

See more about your community at: crimein.MT.gov Page 8 What offenses are occurring?

The following charts show the top ten offenses in Montana are non-violent crimes. In 2016, and historically, the top 10 offenses account for 70% of all crime offenses in Montana. While the ranking may change slightly from year-to-year, these offenses are typically in the top 10. The next 10 offenses make up 25% of the total offenses for Montana. The remaining 39 offenses make up 5% of total offenses.

Top 10 Offenses for 2016 Vandalism of Property 9,471 All Other Larceny 9,065 Simple Assault 6,765 All Other Offenses 6,609 Driving Under the Influence 5,488 Shopli ing 4,919 Drug/Narcoc Violaons 4,725 The From Motor Vehicle 4,632 Drug Equipment Violaons 4,036 Burglary/Breaking & Entering 3,701

01,000 2,000 3,000 4,0005,000 6,0007,000 8,0009,000 10,000

Of the 21,123 offenses ranked 11 through 20 for 2016, Total Offenses for 2016 only two were considered violent crimes: Aggravated Assault (2,311) and Sex Offenses (1,244). The 3,926 remaining eight offenses totaling 17,568 were: 5%

ff Trespass of Real Property – 3,535 21,123 Top 10 ff Disorderly Conduct – 3,520 25% Offenses ff Theft From Building – 2,715 Next 10 ff Motor Vehicle Theft – 2,523 Offenses ff Liquor Law Violations – 2,010 Remaining 39 ff False Pretenses/Swindle – 1,296 59,411 Offenses ff Counterfeiting/Forgery – 1,139 70% ff Intimidation – 830

The remaining 39 offenses cover only 5% of the number of crimes committed, but include significant offenses such as murder, sex offenses and robbery.

Page 9 Data. A building block for safer communities. Most Significant Decreases from 2015 to 2016 -188 *Impersonaon -179 All Other Offenses -103 The From Building -88 The From Motor Vehicle -60 *Curfew/Loitering/Vagrancy Violaons -52 *Embezzlement

-200 -180 -160-140 -120 -100 -80-60-40 -200

*Note: The annual total for these offenses is less than the threshold of 1,000 offenses per year though the decreaseThe is worth overall nong crime. rate rose 3.6% from 81,512 offenses in 2015 to 84,460 offenses in 2016. Of the 57 offense types, 51 reported at least one offense. Only 19 offense types were reported to have totaled more than 1,000 annual statewide offenses. Those 19 offense types combined cover 94% of all offenses in Montana.

The charts on this page reflect the most significant increases and decreases for those 19 offenses categories except where noted with an asterisk. Those noted fall below the 1,000 reported offenses per year threshold, but show a significant decrease. Those three categories are impersonation, curfew/ loitering/vagrancy violations and embezzlement. Though the annual numbers are low, the decrease from 154 reported embezzlement crimes in 2015 to 102 crimes in 2016 reflects a 34% decrease. Impersonation also decreased by 188 offenses for a 21% annual decrease. The curfew/loitering/ vagrancy violations went from 352 to 292 in 2016, down 17%.

Counterfeiting or forgery led the state's percentage of increase from 845 in 2015 to 1,129 in 2016. In terms of number of offenses, driving under the influence increased by 495 offenses from 4,988 to 5,483 in 2016, and trespassing increased by 330 crimes statewide.

Most Significant Increases from 2015 to 2016

Counterfeing/Forgery 35% False Pretenses/Swindle 12% Trespass of Real Property 10% Driving Under the Influence 10% Liquor Law Violaons 7% Drug Equipment Violaons 7% Motor Vehicle The 6% Drug/Narcoc Violaons 6%

0% 5% 10% 15% 20% 25% 30% 35%

See more about your community at: crimein.MT.gov Page 10 Where are offenses taking place?

2016 Reported Offenses by County

Toole Daniels Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Musselshell Wheatland Golden Granite Broadwater Fallon Valley Custer Deer Jeerson Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass Stillwater Powder Park Big Horn Carter Madison River Beaverhead Carbon Number of O enses Reported in 2016 Between 5,000 -15,000 Between 100 - 399 Between 1,000 - 4,999 Between 3 - 99 Between 400 - 999 No Data Reported Number of Offenses

As you might expect, the largest number of 55,951 offenses are being reported in the counties with 66% the largest populations, which are those counties shown in red. The fewest reports of offenses are 17,087 largely occurring in the eastern and central parts 20% of Montana. This again somewhat correlates with population.

7,916 The pie chart to the left demonstrates while only 10% six counties fall in the category reporting between 5,000 and 15,000 offenses for 2016, those counties 3,506 4% make up 66% of all reported offenses for the state. The eight counties in orange report 20% of the state's crime. The remaining 42 counties account 2,746 3% for less than 24% of the crime across the state. On the next page, you can view crime rates for each 760 county with population as a factor. This does 1% impact the picture of where crime is occurring.

Page 11 Data. A building block for safer communities. Where are the lowest offense rates?

2016 Reported Offense Rates Per 1,000 Populaon by County

Toole Daniels Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Musselshell Wheatland Golden Granite Broadwater Fallon Valley Custer Deer Jeerson Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass Stillwater Powder Park Big Horn Carter Madison River Beaverhead Carbon

O ense RATE per 1,000 population for 2016 Between 100 - 152 Between 25 - 49 Between 70 - 99 Between 0 - 24 Between 50 - 69 No Data Reported Total Offenses per Group Total Populaon per Group 1%

3,548 4% 7,547 4% 93,894 9% 9% 270,580 29,684 26% 129,953 35% 12%

43,182 51% 511,525 49%

The counties shown in red represent the highest In the map and chart on page 11, the six counties crime rates per 1,000 population. This map varies reporting 55,951 offenses have a combined slightly from the previous page with Hill, Silver population of 624,209 or 60% of the population. The Bow, Dawson and Roosevelt reflecting higher highest crime rate counties cover 26% of the state crime rates based on population. Cascade and population or 270,580. The next area of significant Missoula are both high in crime volume and rate difference is the yellow and green areas representing per 1,000 population for the state. 21% of the population but only 13% of offenses.

See more about your community at: crimein.MT.gov Page 12 What do we know about offenders?

Offender Gender Offender Race

Females 15,976 8,836 30% 18% Males 1,070 37,931 1,417 70% 2%

39,915 80% 175 172 White American Indian or Alaskan Nav e Offender Ethnicity Black or African American Asian Nave Hawaiian or Pacific Islander

Males are 70% and females are 30% of known offenders. Of known offender races, 80% are white, 18% are Native 1,657 4% 44,418 96% American or Alaskan Native. The remaining three races share 2%. Of the 46,075 reports of offender ethnicity, 4% were identified as Hispanic or Latino. 71% of offenders are between the ages of 18 and 44. Juveniles under the age of 18 make up 12% of offenders. Those over the age of 44 total 16% of offenders. Not Hispanic or LanoHispanic or Lano

Offender Age and Gender

9,858 Male Female

Note: Demographic

7,974 data totals will not match due to unknown data detailed on the 6,353 next page. 4,690 2 4,028 3,388 3,70 5 3 2,853 2,055 1,89 1,46 56 9 41 15 7 114 569

< 10 10 -17 18 -24 25 -34 35 -44 45 -54 55 -64 65 AND OVER

Page 13 Data. A building block for safer communities. What don't we know about offenders?

The data gathered can provide valuable information when the crime was committed and who the offender to help make better decisions to improve the safety was. When possible, law enforcement personnel of communities, citizens, law enforcement personnel will provide as much information as possible such as and property. What is known is important, but what gender, race, ethnicity and age range. we don't know also plays a role in decision making. For the majority of this report, the data displayed is The table below does not list all offenses. The major what is known. The table below gives a summary crime groupings and offenses within those groupings of what is not known to MTIBRS. Offenses such as are given to provide a better understanding of the burglary, or theft may be reported when the loss is data that is not available. discovered, but may offer little information about

Offender Unknown Unknown Unknown Unknown ALL Offense or Offense Grouping Totals Age Gender Ethnicity Race UNKNOWN All Crimes Against Person 11,316 337 239 1,286 644 103 % Of Data Unknown 3% 2% 11% 6% 1% Aggravated Assault 2,427 95 74 280 149 34 Homicide 30 1 1 2 1 1 Sex Offenses 1,378 112 43 291 189 16 Simple Assault 7,134 123 121 691 293 49

All Crimes Against Property 30,432 7,858 9,679 13,079 11,629 6,467 % Of Data Unknown 26% 32% 43% 38% 21% Burglary/Breaking & Entering 3,385 1,140 1,391 1,716 1,602 996 Vandalism of Property 7,284 2,038 2,666 3,444 3,127 1,748 Motor Vehicle Theft 2,494 562 786 1,067 972 484 Robbery 322 53 54 109 87 22 Larceny Theft 17,509 4,335 5,284 7,247 6,319 3,549

All Crimes Against Society 8,039 90 64 784 218 37 % Of Data Unknown 1% 1% 10% 3% 0% Drug Equipment Violations 5,391 42 34 482 130 18 Drug/Narcotic Violations 6,024 52 36 601 149 21 Weapon Law Violations 372 8 9 32 14 4

All Group B Offenses 21,428 303 329 2,062 708 227 % Of Data Unknown 1% 2% 10% 3% 1% Disorderly Conduct 4,242 8 3 339 91 2 Driving Under the Influence 5,219 0 0 503 76 0 Non-Violent Family Offenses 659 10 0 36 11 0 Liquor Law Violations 3,009 0 0 278 53 0 Trespass of Real Property 3,092 263 307 616 389 210

See more about your community at: crimein.MT.gov Page 14 Who are the victims of offenses?

Vicm Gender Vicm Race

Females Males 18,572 21,065 47% 2,766 430 53% 7% 683 2% 34,585 91% 164

89 White American Indian or Alaskan Nav e Vicm Ethnicity Black or African American Asian Nave Hawaiian or Pacific Islander

While males are reported to be 70% of offenders, males are 53% of individual victims. Similarly, 91% of victims are white while 80% of known offenders are white. Native 33,640 7532% American or Alaskan Native are 7% of victims but 18% of 98% offenders. The remaining races are 2% for both victim and offenders. Ethnicity is 2% for victims and 4% for offenders. The age range for victims is spread more evenly than offenders. 55% of victims are between the ages of 18 and 44 verses 71% of offenders. There are more older victims than Not Hispanic or LanoHispanic or Lano offenders. 38% of victims are over the age of 44.

Vicm Age and Gender

MalesFemales 4,413 4,303 9 3,603

9 Note: Demographic

3,31 data totals will not 3,289 3

3,060 match due to unknown 2,96 9

2,813 data detailed on the 1 2,61 next page. 2,32 4 2,09 1,58 1,193 937 335 36 6

< 10 10 -17 18 -24 25 -34 35 -44 45 -54 55 -64 65 +

Page 15 Data. A building block for safer communities. What don't we know about victims?

Vicm Type As with offender data, victim data can provide valuable information to help make better decisions. For the majority of this report, the data displayed is what is 11,415 500 known. The table below gives a summary 22% of what is not known to MTIBRS. The majority of individual victim information 1,323 is known as the table below shows. 2% 499 Property crimes have the most missing data fields of all the offense types. 40,182 130 76% 126 68 The table to the left shows the vast majority (76%) of victims are individuals; however the number of other victim types Individual is significant. The various victim types are Business identified in the specific offenses sections Government Agency of this report. Law Enforcement Officer Financial Instuo n Other/Unknow n Religious Organizaon

Victim Unknown Unknown Unknown Unknown ALL Offense or Offense Grouping Totals Age Gender Ethnicity Race UNKNOWN All Crimes Against Person 11,595 368 102 1,400 499 48 % Of Data Unknown 3% 1% 12% 4% 0% Aggravated Assault 2,459 107 43 334 115 25 Sex Offenses 1,439 31 21 316 141 11 Simple Assault 6,985 218 28 681 219 11

All Crimes Against Property 29,177 932 241 4,951 2,161 109 % Of Data Unknown 3% 1% 17% 7% 0% Burglary/Breaking & Entering 3,602 107 16 498 203 6 Vandalism of Property 7,771 234 68 1,157 469 35 Motor Vehicle Theft 2,345 34 14 279 125 3 Robbery 282 4 1 31 15 1 Larceny Theft 7,267 444 120 2,894 1,281 47

All Crimes Against Society 7 0 0 3 1 0 % Of Data Unknown 0% 0% 43% 14% 0%

All Group B Offenses 185 4 1 21 6 0 % Of Data Unknown 2% 1% 11% 3% 0%

See more about your community at: crimein.MT.gov Page 16 When are offenses happening?

One index crime every 17 minutes Offenses Per Time Range

12:00am-2:59am 12,421

3:00am-5:59am 3,687

6:00am-8:59am 6,283

9:00am-11:59am 9,280

12:00n-2:59pm 11,772

3:00pm-5:59pm 12,916

6:00pm-8:59pm 11,958

9:00pm-11:59pm 12,467

- 2,500 5,000 7,500 10,000 12,500 15,000

One violent crime every 3 hours Offenses by Day of Week ll One homicide every 17 days ll One rape every 23 hours l 13% 14% l One robbery every 2 days Monday ll Six aggravated assaults every day Tuesday Wednesday Thursday 15% 14% Friday One property crime every 19 minutes Saturday l l One burglary every 2 hours Sunday ll One larceny/theft every 24 minutes 14% 16% ll One motor vehicle theft every 4 hours 14%

Offenses by Month 7,856 7,666 7,365 7,364 7,311 7,130 7,034 7,003 6,826 6,612 6,284 6,009

JANMFEBMAR APRJAY UN JULAUG SEPOCT NOV DEC

Page 17 Data. A building block for safer communities. Violent & Property Index Crime

Index crimes were chosen because traditionally they are the offenses that are the highest in severity and would be most commonly reported to law enforcement. The seven index crimes can be further subcategorized into violent crimes and property crimes. The sum of the seven index crimes is the crime index. The crime index is used as a measure to gauge the level of crime in a particular geographic region.

The following graphs show similar trends for violent and property crime rates. While property crimes appear to have much larger fluctuations, the actual percentages of increases or decreases from year-to-year are greater for violent crimes. This is primarily due to the violent crime offenses and rates being on average only 9% of all index offenses.

10-Year Trend for Index Crime Rates 2007-2016 Both graphs reflect an increase for both violent 2,997 2,829 and property index 2,724 2,740 2,624 2,586 2,536 rates in 2012 and 2015, 2,484 2,397 2,391 as well as the largest declines occurring in 2013. The violent index Violent Crime Rate crime rate increased by Property Crime Rate double digits (17%), the largest increase in 10 318 275 266 262 269 283 232 241 281 287 years, increasing only 2% in 2016. The property index crime rate 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 increased 7% in 2015 and only 1% in 2016.

The 2016 property crime % of Rate Change From Previous Year rate is 257 points below the 10-year high of 2,997 in 2007, but 349 points above the 10-year low of 17% 2,391 in 2013. Property crime rates have

8% decreased five out of the 7% 5% 2% 1% 3% 4% 6% 3% 6% last ten years. -2 % -3 % -4 % -6 % -5 % -7 % -8 % The violent crime rate is 31 points from the -14% 10-year high of 318 in -18% 2007, but 55 points from 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 the 10-year low of 232 in 2013. Violent Crime Rate % Change Property Crime Rate % Change

See more about your community at: crimein.MT.gov Page 18 Index Crimes - Violent

Index violent crimes 30-Year Index Violent Crime Rate 1987-2016 include: 400 ff Homicide 350 ff Rape 300 f 250 f Robbery 200 ff Aggravated assault 150 The following 100 information looks at 50 the 30-year violent 0 crime index rate. 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

The violent crime rate dropped through the late 1980s Number of Violent Crime to a low of 119 violent crimes per 100,000 population Calendar Year Violent Crimes Rate in 1989. Violent crime increased through the 1990s 1986 1,201 154 and early 2000s from a low of 119 in 1989 to a 35- 1991 1,072 145 year high of 360 in 2003. This increase represents over 200% increase in violent crimes per 100,000 1996 1,346 180 population during those 14 years. Apart from an up- 2001 3,033 355 tick in 2012, after 2003, the violent crime rate steadily 2006 2,792 300 dropped for 10 years to 232 in 2013 before climbing 2011 2,667 269 back up the last three years. 2016 2,974 287

ƒƒ The 30-year average rate is 240. ff The 2016 crime rate of 287 is 47 points above the 30-year average rate. Distribuon of 2016 Violent Crimes ƒ ƒ The minimum 30-year rate is 119 in 1989. 1% ff The 2016 crime rate of 287 is 168 points above 8% the 30-year low rate. 14% ƒƒ The maximum 30-year rate is 360 in 2003. ff The 2016 crime rate of 287 is 73 points below the 30-year high rate. Aggravated Assault Rape Aggravated Assaults are 77% of the violent crime Robbery 77% index crimes, followed by rape, then robbery and Homicide homicide. Homicides are 1% of all index violent crimes.

Page 19 Data. A building block for safer communities. Index Crimes - Property

Index property crimes include: 30-Year Index Property Crime Rate 1987-2016 ff Burglary 5,500 5,000 ff Larceny/theft 4,500 ff Motor vehicle theft 4,000 3,500 3,000 The following graph 2,500 examines the property 2,000 crime rate since 1987. 1,500 1,000 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

A major property crime rate spike occurred in 1995 Calendar Number of Property and again in 1998, marking the highest index prop- Year Property Offenses Offense Rate erty crime rate with 5,340 crimes per 100,000 pop- ulation. After that year, a steady downward trend 1986 33,417 4,299 occurred through the 2000s and into the early 2010s, 1991 33,202 4,499 marking a 55% decline between 1998 and 2013. The 1996 34,481 4,613 increase from the lowest rate of 2,391 per 100,000 in 2001 31,077 3,642 2013 to 2,724 in 2015 reflect a 14% increase in the 2006 26,979 2,902 rate in two years. This rate is still 1,091 points per 2011 23,752 2,397 100,000 population less than the 35-year average of 2016 28,398 2,740 3,815. ƒƒ The 30-year average rate is 3,669. ff The 2016 crime rate of 2,470 is 929 points Distribuon of 2016 Property Offenses below the 30-year average rate. ƒƒ The minimum 30-year rate is 2,391 in 2013. 7% ff The 2016 crime rate of 2,740 is 349 points above 13% the 30-year low rate. ƒƒ The maximum 30-year rate is 5,340 in 1998. ff The 2016 crime rate of 2,740 is 2,600 points below the 30-year high rate. Larceny/The Burglary Larceny/theft accounts for 80% of the index proper- 80% Motor Vehicle The ty crimes for 2016. Burglaries are 13% of the index property crimes. Motor vehicle theft comprises the smallest percentage of the property crime index at 7%. This suggests that the index property crime rate is largely driven by larceny/theft numbers.

See more about your community at: crimein.MT.gov Page 20 Aggravated Assaults

Aggravated Assault Crimes

2,543 2,613 2,377 2,142 2,250 2,130 2,004 1,943 2,031 1,984

Of the four violent index crimes, aggravated assaults make up 77% of all violent crimes. Aggravated 256 216 225 218 252 252 Assault is defined as: an unlawful 212 201 208 201 attack by one person upon another wherein the offender 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 uses a weapon or displays it in a threatening manner, or the Aggravated Assult Crimes victim suffers obvious severe or Aggravated Assault Crime Rate (per 100,000 populaon) aggravated bodily injury involving apparent broken bones, loss of teeth, possible internal injury, % of Rate Change From Previous Year severe laceration, or loss of consciousness.

Aggravated assault includes: 25% assaults or attempts to kill or murder by poisoning; assault with 9% a dangerous or deadly weapon; 4% 4% 4% 0% -5% -3% maiming, mayhem, assault with -8% explosives, and assault with disease -17% (as in cases when the offender is aware that he/she is infected with 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 a deadly disease and deliberately attempts to inflict the disease by biting, spitting, etc.). It is not necessary that injury result from an Aggravated Assaults by Subcategory aggravated assault when a weapon is used that could cause serious AA-With a weapon 1,004 personal injury. By definition, AA-Criminal endangerment 539 there can be no attempted assaults. AA-Partner or family member assault 289 AA-Broken bones/severe laceraon/etc. 237 AA-On a minor 210 In 2016, the contributing agencies AA-Permanent or life threatening injury 188 reported 2,316 aggravated assault AA-On a peace or judicial officer 188 crimes resulting in a crime rate of AA-Neg. vehicular assault serious injury 32 252 crimes per 100,000 population. AA-Aempted homicide 18 The primary category is assault AA-Assault with bodily fluid 9 AA-Abuse/neglect/exploit the elderly with a weapon, accounting for 40% 9 AA-Hate movated inmidaon 3 of all aggravated assault crimes. AA-Ritual abuse of a minor 1

Page 21 Data. A building block for safer communities. Where are aggravated assaults occurring? 2016 Reported Aggravated Assault Crime Rate Per 1,000 Populaon by County

Toole Daniels Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Musselshell Wheatland Golden Granite Broadwater Fallon Valley Custer Deer Jeerson Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass Stillwater Powder Park Big Horn Carter Madison River Beaverhead Carbon Aggravated Assault Crime Rates (per 1,000 Population) 4.5 - 6.1 1.7 - 2.4 3.5 - 4.4 1.4 - 1.6 Zero reported 2.5 - 3.4 0.1 - 1.3

Crime Locaon Musselshell County ranked number one for the crime rate based on population with 6.1 crimes per 1,000 population or 28 aggravated assault crimes reported. Roosevelt, Fergus and Big Horn Counties all reported over 60 assaults with ratings per 1,000 population of 985 5.8, 5.4 and 5.0 respectively. 1,269 38% 49% The three primary categories of residential, government/public building, and commercial 268 total 97% of all crime locations. Almost half of all aggravated assaults are committed at a residence, 10% Residenal meaning a residence, home, apartment, condo, 91 Government/Public Building Commercial nursing home or other similar dwelling. Both 3% Other/Unknown commercial and government/public building have Field/Woods/Waterway s sub-categories. Construcon/Industrial 51 Tribal Lands 38% of aggravated assaults occurred in government/ 2% 32 public buildings. 69% of those took place on 1% highways, streets, and alleys.

1 7 Of the 10% occurring in commercial locations, bar (86), retail store (67) and motel (57) cover 78% of commercial aggravated assault locations.

See more about your community at: crimein.MT.gov Page 22 When are aggravated assaults happening?

Aggravated assault times vary slightly from the Of those reported, male and female offenders age 25- general state times. The most noteable difference 34 represent 32% of all aggravated assault offenders. is the time range from 6:00 pm to 8:59 pm. 15% of Males alone for this age group account for 25% of offenses occur during this time range for all state offenders. Males between 18 and 44 are 57% of the offenses. 20% of aggravated assaults occur during known offenders for these assaults, while females of that same time range. the same age group are 17% of assault offenders.

51% of assaults occur on a weekend (Friday, Saturday 38% of all offenders have been reported as being and Sunday). The state number for all offenses for suspected of using alcohol, drugs or narcotics. 39% the same three days is 44%. July and August were of males are reported to have been suspected of using the months with the highest number of aggravated a substance, while females were suspected of using assaults reported. January was also high, but is not just over 37% of the time. The graph shows alcohol noteworthy for all Montana offenses. to be used 76% of the time over drugs and narcotics. This could be the result of alcohol being more easily On the next page, the offenders of aggravated assault tested for at the location of the crime. crimes are 78% (1,826) male, and 22% (527) female.

Crimes Per Time Range Crimes Per Day of Week

17% 16% 18% 13% 12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 5% 6:00a - 8:59a 12% Wednesday 9:00a - 11:59a 5% Thursday 20% 12:00p - 2:59p 17% 3:00p - 5:59p Friday 10% 6:00p - 8:59p Saturday 12% 9:00p - 11:59p Sunday

15% 12% 16% 12%

Crimes by Month

275 259 224 235 220 209 207 204 208 185 200 187

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

Page 23 Data. A building block for safer communities. Who are aggravated assault offenders?

Offender by Age and Gender Offenders Suspected of Using

562 Females Males Males 545 Females 371 363

193 173 177 148 122 108 108 115 49 61 3 38 19 8 39 Alcohol Drugs or < 10 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 + Narcocs

Offender Gender Offender Race and Ethnicity

Females 453 527 19% 22% 62 98 4% 83 Males 4% 1,826 78% 1,742 15 6 73% White, and American Indian or Alaska Native people are 92% of offenders. The remaining 8% are reported White to be Hispanic (4%) and all other races 4%. American Indian or Alaskan Nav e Hispanic or Lano Black or African American Only 243 of these assaults did not use one or more Nave Hawaiian or Other Pacific Islander Asian weapons. Males and females used weapons at similar Note: Demographic data percentages with females using motor vehicles or no totals will not match weapon slightly more often than males. due to unknown data.

See more about your community at: crimein.MT.gov Page 24 Who are victims of aggravated assault?

Vicm Race and Ethnicity Vicm Gender

377 15% 42 Females 1,083 Males 98 4% 58 42% 1,487 2% 58% 2,063 10 79% 6

White American Indian or Alaskan Nave Hispanic or Lano Note: Black or African American Demographic data Asian totals will not match Nave Hawaiian or Other Pacific Islander due to unknown data.

Of the seven victim types for 2016 offenses, only two Males exceed females in every age group. The were reported for aggravated assaults, individuals greatest difference is the age group 65 and over with (2,420), and law enforcement ofcers (150). For 67% males, 33% females. While this group reports these crimes, there are 2,570 victims when reported only 69 victims, it is 8% higher than the average by gender, as with all demographic data there may percentage per age group. The lowest percentage of be multiple individual victims per crime. 58% males is the age group 35 to 44 reporting 54% males, of victims were male, however, males are 78% of and 66% females. aggravated assault offenders. On the next page, the second table shows the known 79% of victims are white and 15% American Indian victim to offender relationships for both males and or Alaskan natives. These two race or ethnicity females victims. 69% of victims knew their attackers, categories cover 94% of the victim population leaving while 31% did not. 6% for the remaining four categories.

Vicm Age and Gender

Female Male 338

265 243 230 206 195 191 143 132 133 102 85 97 61 23 46 UNDER 10 10 -17 18 -24 25 -34 35 -44 45 -54 55 -64 65 AND OVER

Page 25 Data. A building block for safer communities. Types of Aggravated Assault

652 AA-With a weapon 350 277 AA-Criminal endangerment 230 72 AA-Partner or family member assault 217 145 AA-Broken bones/severe laceraon/etc. 90 126 AA-On a minor 81 71 AA-Permanent or life threatening injury 116 165 AA-On a peace or judicial officer 20 15 AA-Neg. vehicular assault serious injury 17 9 Male VicmsFemale Vicms AA-Aempted homicide 8 AA-Assault with bodily fluid 9 5 AA-Abuse/neglect/exploit the elderly 4 2 AA-Hate movated inmidaon 1 AA-Ritual abuse of a minor 1

The highest number of aggravated assault crimes is aggravated assault with a Relaonship of Vicm to Offender weapon. On page 24, the graph shows four categories: personal weapons, dangerous weapons, Acquaintance 288 607 firearms, and motor vehicle as a weapon make up the 77% of Family 191 198 weapons used. This is important Inmate 364 108 to note given the type of injury FemalesMales shown in the chart below. Stranger 81 256

The vast majority (83%) of Unknown 167 326 aggravated assaults reported Vicm was Offender 40 either no injury or apparent minor injury. This would indicate a weapon was used to elevate the assault to aggravated.

Type of Injury Reported Males

Females

0 200 400 600 800 1000 1200 1400 1600

None Apparent Minor Injury Other Major Injury Possible Internal Injury Severe Laceraon Apparent Broken Bones Unconsciousness Loss of Teeth

See more about your community at: crimein.MT.gov Page 26 Rape Of the four violent index crimes, rape represents 13% of all Rape Crimes 424 violent offenses for 2016. While 398 391 345 342 aggravated assault has an arrest 335 336 316 336 319 rate of 44%, the arrest rate for rape is 11%.

Rape is defined as: The carnal knowledge of a person, forcibly 36 36 35 32 34 34 33 40 39 41 and/or against that person’s will; or not forcibly or against the person’s will where the victim is incapable 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 of giving consent because of his/ Rape Crimes Rape Crime Rates (per 100,000 populaon) her temporary or permanent mental or physical incapacity, or because of his/her youth.

This offense includes the forcible % of Change From Previous Year rape of both females and males. If force is used or threatened, the 19% crime is classified as Forcible Rape regardless of the age of the victim. If no force or threat of 5% 5% force is used and the victim is 1% 1% under the statutory age of consent, -5% -5% -4% the crime is not classified in this -7% category, but in the category of -14% Statutory Rape. The various sex offenses will be detailed later in this 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 section.

In 2016, the contributing agencies reported 424 rape crimes. The number of rape crimes have 2016 Rape Crimes increased 21% over the last ten Compared to Other Sex Crimes years, and 34% from the ten year low of 316 in 2010. The rape crime Rape-sex w/o consent 424 rate increased only 12% for the Sexual assault 630 same period, or 28% from the 2010 Sexual abuse of children 180 low. Of all sex crimes committed Statutory rape-sex w/o consent 66 in Montana, rapes account for 39%. Sexual assaults detailed later Incest 59 account for 43%. As the graph to Sex forcible sodomy w/o consent 39 the right demonstrates, these two Same-sex forcible rape 27 sex crimes make up 73% of all sex Sex with object w/o consent 25 crimes. 0 200 400 600

Page 27 Data. A building block for safer communities. Where are rapes being committed? 2016 Reported Rape Crime Rate Per 1,000 Populaon by County

Toole Daniels Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Musselshell Wheatland Golden Granite Broadwater Fallon Valley Custer Deer Jeerson Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass Stillwater Powder Park Big Horn Carter Madison River Beaverhead Carbon Rape Crime Rate Per 1,000 Population In 2016 .5 - .96 crimes per 1,000 .1 - .19 crimes per 1,000 .3 - .49 crimes per 1,000 0 crimes per 1,000 .2 - .29 crimes per 1,000

Hill County ranked number one for the rape crime Rape Crime Locaons rate and Fergus ranked third based on population with .96 and .88 crimes per 1,000 population or 16 Residenal 285 Gov./Public Buildings 55 and 10 rape crimes reported respectively. Lewis and Commercial 39 Clark, Gallatin and Missoula counties reported 64, Other/Unknown 28 72, and 66 rapes for rates of .95, .88, and .57 per 1,000 Field/Woods/Waterways 15 population respectively. Construcon/Industrial 2 The highest rape crime rate category, shown above in red, covers five counties and 54% of all rape crimes. The second group covers 11 counties and 31% rape crimes. The yellow category covers eight counties and 13% of rape crimes. These three categories make up 97% of the rape crimes, for 25 counties. Twenty- three counties reported no rapes.

Over 68% of all rape crimes are committed within a the category titled residential, meaning a residence, home, apartment, condo, nursing home or other similar dwelling. Almost 12% of rape crimes occur in government/public buildings. The orange fields detail the subcategories under this category.

See more about your community at: crimein.MT.gov Page 28 When are rapes being committed?

Nearly 50% of rape crimes occur between 6pm and The offenders of rape crimes are 95% male, 5% 3am with 21% committed after midnight. Times of female. Those male and female offenders age 18-24 day vary slightly from the state offense percentages, represent 32% of all rape offenders. Males alone for however the difference most of note is the time range this age group account for 30% of rape offenders. from 6:00 p.m. to 8:59 p.m. 15% of offenses occur Males between 18 and 44 are 82% of the offenders for during this time range for all state offenses. 20% these assaults, while females of the same age group of aggravated assaults occur during the same time are 6% of assault offenders. frame. 28% of rape offenders have been reported as being The charts below also show, 75% of rapes occur suspected of using alcohol, drugs or narcotics. during the week days. The state crime data is similar 39% of males offenders are reported to have been showing 72% of offenses occur during the week days. suspected of using a substance while 17% of females May, June and July have the most frequent number of were suspected. The graph shows suspicion of rape crimes reported. The remaining months appear alcohol in the commission of rapes is over three to bounce up, then down and back up between 6% times greater than drugs or narcotics. and 32% per month.

Crimes Per Time Range Crimes Per Day of Week

15% 13% 13% 21% 12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 6:00a - 8:59a 12% Wednesday 15% 13% 9:00a - 11:59a 6% Thursday 12:00p - 2:59p Friday 3:00p - 5:59p 5% Saturday 6:00p - 8:59p Sunday 9:00p - 11:59p 18% 14% 16% 12% 12% 15%

Crimes by Month

46 44 43 39 36 33 33 33 32 31 29 25

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

Page 29 Data. A building block for safer communities. Who are the offenders of rape?

Offender Age and Gender Offenders Suspected of Using

Males Males Females 124 95 Females

77 74 60

35 27 1 5 6 5 7 1 11 3 3 1 UNDER 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 AND Alcohol Drugs 10 OVER Narcocs

Offender Race and Ethnicity 24% of offenders are of race or ethnicities other than white. American Indian or Alaska Native men are reported to total 13% and females are 5%. Male and female Black or African American, Hispanic or Latino, 315 Asian, and Native Hawaiian or other Pacific Islander account for 15% 76% of rape offenders combined. Only 251 of these assaults did not use one or more weapons. Males and females used weapons at similar percentages with females using motor vehicles or no weapon slightly more often than males. Note: Demographic data totals will not match due to unknown data. 37 28 9% 7%

32 8%

White 25 6 1 American Indian or Alaskan Nave Black or African American Hispanic or Lano Asian Nave Hawaiian or Other Pacific Islander

Type of Weapon Used

Male

Female

050 100 150 200 250 300 350 400 450 Personal (Hands/Feet/Etc.) None Unknown OtherFirearm Poison/Drugs Dangerous Weapons Asphyxiaon

See more about your community at: crimein.MT.gov Page 30 Who are victims of rape? Vicm Race and Ethnicity Vicm Gender Males 12 33 3% 8% 6 12 3% 13 3% 4 Females 356 412 86% 3 97% White American Indian or Alaskan Nave Hispanic Asian Note: Demographic data Nave Hawaiian or Other Pacific Islander totals will not match Black or African American due to unknown data.

Vicm by Age and Gender 97% of rape crime victims are female and 82% are white females. Only 3% of victims are Female Male male and eight out of the 12 are between the ages of 10 and 17. 163 Combined, 77% of victims 101 knew their rapists. Of the 23% of offenders who were 58 not known to the victim, 73 or 43 17% of victims reported their 19 8 1 2 1 18 6 2 relationship to the offender as UNDER 10 10 -17 18 -24 25 -34 35 -44 45 -54 55 -64 65 AND OVER unknown. Given the categories of stranger and acquaintance,

Vicm to Offender Relaonship

199 FemalesMales

72 63 53 7 1 4 2 22 111 AcquaintanceUnknown Inmate Family Stranger Vicm was Offender

Page 31 Data. A building block for safer communities. this category may reflect those unwilling to Vicm to Offender Relaonship provide this information to law enforcement. Relaonship Type Acquaintance

Over 49% of female victims and 44% of male 4 victims were raped by an acquaintance. The 5 category of acquaintance is further broken 35 down to the left into nine subcategories. There 17% were four of the categories that did not have Acquaintance a report of a rape. Those were babysittee (the Friend baby), babysitter, employee and employer. Of 37 Otherwise Known the remaining five classifications, the category of 18% 127 Neighbor acquaintance is duplicated and makes up 61% of 61% Boy/Girlfriend's Child all reported relationships of the primary category acquaintance. Friend and otherwise known total 35% the acquaintance subcategory. Neighbor or boy/girlfriend's child report 4%.

Other Forcible and Non-Forcible Sex Offenses

All forcible sex offenses, by definition, are intercourse between persons who are related to committed against that person’s will; or against the each other within the degrees wherein marriage is person’s will where the victim prohibited by law. Statutory is incapable of giving consent Non-Rape Sex Crimes rape is non-forcible sexual because of his/her youth or 27 25 intercourse with a person who because of his/her temporary or 39 3% 2% is under the statutory age of permanent mental or physical 59 4% consent. Incest and statutory incapacity. 6% rape are the only non-forcible 66 sex offenses; each accounts for Forcible Fondling occurs when 6% 6% of non-rape sex crimes. All an offender touches private body other sex offenses are considered parts of another person for the forcible. purpose of sexual gratification. 180 630 Forcible fondling is broken 18% 61% Forcible sodomy is oral or anal down into two subcategories, sexual intercourse with another sexual assault and child sexual person. Forcible sodomy is abuse. Together, these two divided into two subcategories offenses under forcible fondling of forcible sodomy without comprise 79% of all non-rape consent and same-sex forcible sex crimes. Sexual Assault rape. Sexual assault with an object Child Sexual Abuse Statutory Rape is what the title implies, using an Sex offenses are broken down into Incest object or instrument to unlawfully forcible and non-forcible. Non- Forcible Sodomy penetrate, however slightly, the forcible Sex Offenses include Same-Sex Rape genital or anal opening of the body incest, which is non-forcible sexual Sex With an Object of another person.

See more about your community at: crimein.MT.gov Page 32 450 Non-Rape Sex Crime Offenders and Vicms

400 Male VicmsMale Offenders 350 Female Vicms Female Offenders 300 250 200 150 100 50 0 Under 10 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 and over Race and Ethnicity 900 Non-rape sex crimes make up 71% of sex crimes in Montana, and rape accounts for 29%. The pie chart on

800 the previous page indicated 61% of non-rape sex crimes were sexual assaults. The graph above shows both male and female victims under the age of 17 account for 74% 700 of sexual assault victims. Offenders 10-17 are the largest Hawaiian/Pacific group of non-rape sex crime offenders at 27%. The largest 600 Islander group of male offenders of rape crimes is the 18-24 age Asian group making up 32% off all rape crimes.

500 Black/African Overall 90% of offenders for non-rape sex crimes are male, American and 10% female. For rape, males make up 94% and female 400 Hispanic/Lano 6% of rape offenders. Between 82 and 84% of offenders and victims are white. 300 American Indian/Alaskan Unlike rape where 28% of known male and female White offenders were suspected of using alcohol, drugs or 200 narcotics, only 15% of non-rape sex crime offenders were suspected of using. Computers were used in 35 non-rape 100 sex crimes and four rape crimes as shown below. In all four rape crimes where computers were used, the offenders were also suspected of using alcohol or drugs. 0 Note: Vicms Offenders Demographic data totals will not match due to unknown data. Offender Suspected of Using

Non-Rape Sex Offenders

Rape Offenders

0 100 200 300 400 500 600 700 800 900 Alcohol Drugs/Narcocs Computer Equipment None

Page 33 Data. A building block for safer communities. 2016 Reported Rape and Non-Rape Sex Crime Rates Per 1,000 Populaon by County

Toole Daniels Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Musselshell Wheatland Golden Granite Broadwater Fallon Valley Custer Deer Jeerson Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass Stillwater Powder Park Big Horn Carter Madison River Beaverhead Carbon Rape Crime Rate Per Populataion Non-Rape Sex Crime Rate Per Populataion .5 - .96 crimes per 1,000 1.75 - 3.24 crimes per 1,000 .3 - .49 crimes per 1,000 1.74 - 1 crimes per 1,000 .2 - .29 crimes per 1,000 .5 - .99 crimes per 1,000 .1 - .19 crimes per 1,000 .49 - .1 crimes per 1,000 0 crimes per 1,000 0 crimes per 1,000

The map identifies where sex offenses are reported in the state. While four of the top five counties with the highest rape crime rates per 1,000 population dropped to the next level crime rate for non-rape sex crimes, Hill County remains at the top of both sex crime rankings. Other smaller counties increased their ranking for non-rape sex crimes, however Carbon county reported zero rapes, but 1.8 non-rape sex crimes per 1,000 population. Phillips was the next highest increase moving from .24 rapes per 1,000 population (or one rape), to 2.17 non-rape crimes per 1,000 population.

The relationship of the victim to the offender for non-rape and rape Relaonship of Vicm to Offender sex crimes are similar. 80% of non rape sex 278 Female Male crime victims knew their attackers. Over 221 48% of rape victims reported being assaulted by an acquaintance 104 versus 40% for all other 88 73 sex crimes. 14% of 59 49 other sex crime victims 27 8 6 5 5 reported their rapists as Acquaintance Family UnknownInmate Stranger Vicm was unknown. Offender

See more about your community at: crimein.MT.gov Page 34 Robbery Robbery is the third most reported violent index crime behind aggravated assault and Robbery 271 rape. Defined as the taking, or 249 attempting to take, anything 229 218 213 203 202 of value under confrontational 182 192 170 circumstances from the control, custody, or care of another person by force or threat of force or violence and/or by putting the 28 25 23 19 17 21 21 19 20 24 victim in fear of immediate harm. Because some type of assault is an element of the crime of robbery, 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 an assault is not reported as a Robbery Robbery Crime Rates (per 100,000 populaon) separate crime as long as it was performed in furtherance of the robbery. % of Rate Change From Previous Year Robberies reported reached a ten- year high (271) in 2009, and low (170) in 2011. From 2015 to 2016, 22% 24% 20% robbery rates have increased 20% 10% 3% but remain lower than the 2009 -6% -8% -3% -7% and the 2007 crime rates.

Of the 249 robbery crimes, -33% 179 were committed with no additional offenses associated 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 with them. Those 179 robberies

Top 10 Property Loss Categories by Value Lost

Money $81,580

Automobiles $36,100

Portable Electronic Communicaons $9,605

Firearms $3,627

Automobiles $3,100

Computer Hardware/So ware $2,353

Clothes/Furs $2,251

Other $2,199 Merchandise $1,961

Radios/TVs/VCRs $1,955

Page 35 Data. A building block for safer communities. had a property loss value of $113,305. The property loss for all 249 robberies is approximately $157,458. Property loss information is gathered for an incident. Each incident may include many offenses and each offense can include many items which have been Other Crimes Associated With 2016 either stolen or damaged resulting in a dollar value Robbery Crimes lost. Property loss approximations may be slightly overstated for all robberies because of associated offenses. Crimes Each of seventy robberies had between two and six Against Crimes additional offenses associated with them for a total of Property Against 125 additional crimes. Those crimes can be broken 32 Society down into crimes against society (49) which includes 26% 49 trespassing, drug crimes and miscellaneous offenses; 39% crimes against persons (44) including assault, sex crimes and kidnapping; and the remaining 26% or 32 Crimes offenses were burglary and theft which are property Against crimes. These last crimes may have property loss Persons associated with them that contribute to the $44,153 44 35% loss attributed to robbery incidents with two or more additional offenses.

Money is the top category for both total value lost, and number of offenses. Portable electronic communications also ranks high on both graphs. The average loss per item was $489, and the maximum single item loss was $15,000.

Top 10 Property Loss Categories by Number of Reported Losses

Money 107

Portable Electronic Communicaons 34

Purses/Handbags/Wallets 33

Other 30

Consumable Goods 25

Clothes/Furs 21

Credit/Debit Cards 15

Identy Documents 15

Special FBI Designated Category 11 Merchandise 9

See more about your community at: crimein.MT.gov Page 36 What else do we know about robberies?

Robbery Crime Locaons With only 249 robberies across the state, it is difcult to draw conclusions. Only 20 counties report 4 3 robberies for 2016. While Musselshell County only 41 reported one robbery, the crime rate of .22 crimes per 16% 100,000 people places them in the top five counties 104 for robbery crime rates. 42% The majority of crimes occurring in government or public buildings, is slightly deceiving. The 97 government/public building sub-category of 39% highway/road/alley/or street accounts for 54 of the 104 crimes. The remaining 50 crimes occurred in parks or play grounds (16), gambling facilities (15), Government/Public Buildings parking lot (13), school or public building (4), and Commercial Residenal amusement park or arena/stadium/fairgrounds (2). Field/Woods/Waterways Other/Unknown Commercial locations cover the vast majority of retail establishments. Bars or night clubs account for 23 of the 97 crime locations. Retail stores across the spectrum from grocery stores and restaurants to Number banks and medical ofces make up the remaining 64 Crime Rate offenses under commercial. County (Per 100,000) of Crimes Yellowstone 0.59 93 While there were only 249 robberies in 2016, Missoula 0.56 64 Montana reported 360 victims of robbery. Businesses Lewis and Clark 0.34 23 account for 22% of victims while 282 individuals Lake 0.30 9 were robbed totaling 78% of all victims. Musselshell 0.22 1 Cascade 0.21 17 Vicm Type Roosevelt 0.17 2 Pondera 0.16 1 Teton 0.16 1 Custer 0.16 2 Business 78 Glacier 0.15 2 22% Flathead 0.15 15 Deer Lodge 0.11 1 Fergus 0.09 1 Gallatin 0.09 9 Individual Sanders 0.09 1 282 78% Silver Bow 0.09 3 Hill 0.06 1 Park 0.06 1 Ravalli 0.05 2

Page 37 Data. A building block for safer communities. The number of robbery offenders Offender by Age and Gender was 322. 17% of offenders are unknown. Of the known offenders, 54% are males between the ages of Males 18 and 34. Females

The 182 known male offenders 61 used 211 weapons. The 45 known 61 female offenders used 52 weapons. Personal weapons of hands, feet, teeth or other body parts were the 20 24 25 11 11 4 most common weapon. 3 3 2 2 UNDER 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 AND 10 OVER

Type of Weapon Used

Males

Females

025 50 75 100 125 150 175 200 225 250 Personal (Hands/Feet/Etc.) Firearms Dangerous Weapons OtherNone Motor Vehicle

Of the 278 known victims, 69% were male. Similar to the offender age and gender data, 106 (55%) male victims were between the ages of 18 and 34 (one percent higher than male offenders). Female victims total 87, or almost double the 45 female offenders. Of the 45 female offenders, 78% are between the ages of 18 and 34. Only 51% of female victims (44) are in that same age group.

Vicm by Age and Gender

Male Females

60 46

27 21 15 15 21 23 13 6 10 11 7 2 1 Note: UNDER 10 -17 18 -24 25 -34 35 -44 45 -54 55 -64 65 AND Demographic data totals will not match 10 OVER due to unknown data.

See more about your community at: crimein.MT.gov Page 38 Homicide

The killing of one human being by Homicide another is classified as: 39 ƒƒ Murder/Non-negligent 34 30 Manslaughter - The willful (non- 28 26 24 negligent) killing of one human 22 18 19 being by another 17 ƒƒ Negligent Manslaughter - The killing of another person through 1.9 3.2 2.7 2.5 1.9 2.2 1.7 2.8 3.9 3.3 negligence (does not include “Vehicular Manslaughter”) 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

As a general rule, any death due Homicide Crimes Homicide Crime Rates (per 100,000 populaon) to injuries received in a fight, argument, quarrel, assault, or % of Change From Previous Year commission of a crime is classified in this category. Suicides, accidental deaths, assaults to murder, trafc fatalities, and attempted murders 64% 63% are not classified as Murder/Non- negligent Manslaughter. 36% 15% -9% Fifteen of 56 counties reported 34 -15% -22% -21% -15% homicides in 2016, which reflects a -31% 15% decrease from 2015 to 2016. 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Crime Rate Number of HomicideHomicide Crime Crime Locaons Locaons County (Per 100,000) Crimes Sweet Grass County 0.82 3 1 22 1 Liberty County 0.41 1 6% 3%3% 6% Carbon County 0.29 3 77 Musselshell County 0.22 1 20%20% Roosevelt County 0.17 2 Big Horn County 0.15 2 Valley County 0.13 1 2424 Deer Lodge County 0.11 1 71%71% Lake County 0.07 2 Gallatin County 0.06 6 Lewis and Clark County 0.06 4 ResidenalResidenal Cascade County 0.05 4 Government/PublicGovernment/Public Buildings Buildings Field/Woods/WaterwayField/Woods/Waterways s Lincoln County 0.05 1 Other/Unknown Other/Unknown Flathead County 0.02 2 Yellowstone County 0.01 1

Page 39 Data. A building block for safer communities. Crimes by Time Range Crimes by Day of Week While the crime time- frames of day, time and 12:00am-2:59am 6% 6% month are somewhat 17% 3:00am-5:59am Monday 9% 9% 12% unique to homicides, 6:00am-8:59am Tuesday Wednesday given the small number 6% 9:00am-11:59am Thursday 26% 12:00n-2:59pm 17% of crimes it is difcult to 9% 29% Friday 3:00pm-5:59pm draw conclusions. It is Saturday 9% 6:00pm-8:59pm interesting to note 26% Sunday 12% 15% 9:00pm-11:59pm 18% occurred on a Saturday, 29% were killed between 6 a.m. and 9 a.m., and 44% of victims were murdered Crimes by Month in February and March. 8 7 76% of homicides were committed using a firearm or dangerous weapon. 4 4 2 2 2 The 34 victims of 1 1 1 1 1 murder were killed by JANFEB MARAPR MAYJUN JULAUG SEPOCT NOVDEC 30 offenders. One of the offenders was unknown, and little is known about two of the male victims. Type of Weapon Used Over 83% of offenders were between the ages of Males 18 and 44, while only 41% Females of victims were within that age group. Females were 0246810 12 14 16 18 20 22 28% of offenders and 41% Firearm Dangerous Weapons Motor VehiclePersonal WeaponsAsphyxiaon of victims.

Vicms and Offenders by Age and Gender

Female Vicms Male Vicms Note: 6 Female Offenders Male Offenders Demographic data totals will 46 not match due 2 to unknown 3 1 data. 3 2 4 2 3 333 3 2 2 2 2 1 1 1 1 1 < 10 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 >

See more about your community at: crimein.MT.gov Page 40 Index property crimes include burglary, larceny/theft and motor vehicle theft. Larceny/theft typically reports more than 80% of all property index crimes. Burglary is next followed by motor vehicle theft. Each section will provide more details about these crimes and the financial impact on Montana communities. When reviewing the financial impact of these crimes, keep in mind loss value data for these crimes is reported by incident. One incident may have more than one offense, and each offense may have more than one category of lost property. This will be detailed further in each section.

Larceny/Theft Offenses

Larceny/theft is the unlawful taking, carrying, leading, or riding away of Larceny/The 22,936 21,735 21,556 22,184 property from the possession, or 20,406 20,730 20,075 constructive possession, of another 19,513 19,368 18,613 person. Theft offenses are broken down into eight subcategories detailed in the following text.

ff Pocket Picking - The theft of 2,467 2,297 2,110 1,999 1,955 2,075 1,906 2,031 2,1372,140 articles from another person’s physical possession by stealth

where the victim usually does 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 not become immediately aware Burglaries Burglary Crime Rate (per 100,000 populaon) of the theft. ff Purse Snatching - The grabbing % of Rate Change From Previous Year or snatching of a purse, handbag, etc., from the physical possession of another person. 6% 7% 4% 5% f f Shoplifting - The theft, by 0% someone other than an -2% employee of the victim, of goods -5% or merchandise exposed for sale. -7% -8% -8% ff Theft From Building - The theft from within a building which is 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 either open to the general public or where the offender has legal access. ff Theft From Motor Vehicle- The theft of articles from a motor vehicle, whether locked or unlocked. ff Theft From Coin-Operated Machine or Device - The theft ff Theft of Motor Vehicle Parts or Accessories - The theft of from a machine or device which any part or accessory afxed to the interior or exterior of is operated or activated by the a motor vehicle in a manner that would make the item an use of coins. attachment of the vehicle, or necessary for its operation.

Page 41 Data. A building block for safer communities. ff All Other Larceny - All thefts which do not fit any of the definitions of the specific subcategories of Larceny/Theft listed above. Larceny Offenses Included are thefts from fenced enclosures. Thefts of animals, bicycles, lawn mowers, 4,631 21% lawn furniture, hand tools, and farm and 2,711 construction equipment are also included 12% 44 where no breaking or entering of a 4,914 22% 880 38 structure is involved. 4% 20 778 Local offense classifications such as grand 4% theft, petty larceny, or felony larceny have no 9,048 bearing on the fact that each distinct operation 41% All Other Larceny of larceny is reported as one offense. Motor Shopli ing vehicle theft is not included in the larceny The From Motor Vehicle totals and is counted separately because of the The From Building The of Motor Vehicle Parts/Accessories great volume of such thefts. The From Coin Operated Machine Purse-snatching 80% of all larcenies fall within the red colored Pocket-picking counties. 70% of the crime is covered by the counties with red dots.

2016 Reported Larceny/The Offenses and Offense Rates Per 1,000 Populaon by County Daniels Toole Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone

Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Wheatland Musselshell Granite Golden Fallon Broadwater Valley Jeerson Custer Deer Sweet Lodge Silver Yellowstone Ravalli Grass Bow Gallatin Stillwater Powder Carter Madison Park Big Horn Carbon River Beaverhead Larceny/Theft O ense Rate Number of Larceny/Thefts 25 - 41 o enses per 1,000 population 1,350 - 4,509 o enses* 17 - 24.9 o enses per 1,000 population 200 - 550 o enses* 10 - 16.9 o enses per 1,000 population 80 - 199 o enses 5 - 0.9 o enses per 1,000 population 30 - 79 o enses 3 - 4.9 o enses per 1,000 population 10 - 29 o enses .1 - 2.9 o enses per 1,000 population 1 - 9 o enses Zero larceny or thefts reported * No county totals between 546 and 1,353

See more about your community at: crimein.MT.gov Page 42 How much does larceny/theft cost Montana?

Of the 22,184 theft/larceny 23 Million + in Larceny/Theft Property Loss crimes, 16,965 or 76% were Incidents That committed with no additional Theft Only Include offenses associated with them. Theft Data Incidents a Theft Offense Totals These thefts had a property loss value of $11,916,563. The Property value loss $11,916,563 $11,155,642 $23,072,205 property loss for all 22,184 Number of incidents 16,965 5,219 22,184 larcenies is approximately % Of total incidents 76% 24% 100% $23,072,205. Property loss information is gathered for an Value of Items: incident. Each incident may Burned $ - $212,317 $212,317 include many offenses and Counterfeited/Forged $ - $188,255 $188,255 each offense can include many Destroyed/Damaged $ - $979,194 $979,194 items which have been either Stolen $11,196,563 $9,775,876 $21,692,439 stolen or damaged resulting in a dollar value lost. Property loss Average loss per item $597 $1,097 $766 approximations may be slightly Maximum item loss $390,000 $212,000 $390,000 overstated for larcenies because of associated property offenses.

Each of 5,219 thefts had between two and nine additional offenses associated with them for a total of 6,498 additional offenses. Those additional offenses can be broken down into crimes against property (3,873 or 57%) which includes motor vehicle theft, robbery, and burglary; crimes against society (2,735 or 40%) includes trespassing, drug crimes and miscellaneous offenses; and the remaining crimes against persons (212 or 3%) are primarily assaults. The associated property crimes may have property loss associated with them that contribute to the $11,155,642 associated with larceny incidents with two or more additional offenses.

Top 10 Property Loss Categories by Value Lost

Money $3,420,548

Automobiles $3,272,079

Tools $2,125,872

Jewelry/Precious Metals/Gems $1,673,184

Other $1,654,054

Bicycles $1,093,663

Firearms $695,019

Recreaonal/Sports Equipment $630,300

Portable Electronic Communicaons $626,273

Trailers $624,038

Page 43 Data. A building block for safer communities. Top 10 Property Loss Categories by Number of Reported Losses

Other 3,206

Money 2,825

Tools 1,972

Consumable Goods 1,933

Clothes/Furs 1,796

Purses/Handbags/Wallets 1,755

Vehicle Parts/Accessories 1,704

Portable Electronic Communicaons 1,606 Bicycles 1,597 Merchandise 1,519

The total value of the top ten property loss categories Other categories such as Household Goods and by dollar accounts for 72% of all property loss. Clothes/Furs reported more losses, however the Automobiles stolen, in connection to a burglary, values were not as significant. The top 10 property account for a loss of almost three million dollars. loss categories by number of reported losses account The category Automobiles does not appear in the for 56% of all items reported with a value greater graph above because the number of vehicles stolen in than zero. The total larceny/theft losses for each connection to a burglary was 858 for an average value county are listed below. of $4,473 per vehicle.

County Property Loss County Property Loss County Property Loss Yellowstone $6,517,839 Sanders $141,740 Musselshell $20,316 Cascade $2,809,429 Lincoln $141,157 Sheridan $19,496 Flathead $2,761,446 Fergus $97,632 Chouteau $16,106 Missoula $2,320,953 Deer Lodge $79,041 Valley $13,404 Gallatin $1,906,206 Toole $66,922 Rosebud $12,508 Lewis & Clark $1,192,828 Stillwater $65,457 Beaverhead $11,421 Silver Bow $1,140,770 Teton $54,444 Blaine $10,356 Lake $583,501 McCone $52,812 Garfield $9,105 Powell $526,039 Glacier $50,167 Prairie $7,275 Hill $524,765 Granite $44,690 Fallon $4,883 Ravalli $459,038 Pondera $37,872 Golden Valley $4,549 Park $317,373 Dawson $30,002 Powder River $4,245 Carbon $214,603 Madison $26,356 Sweet Grass $3,212 Big Horn $199,916 Roosevelt $24,066 Judith Basin $1,122 Jefferson $174,063 Broadwater $23,648 Wheatland $925 Richland $157,128 Phillips $21,591 Daniels $600 Custer $148,243 Meagher $20,915 Wibaux $30

See more about your community at: crimein.MT.gov Page 44 What else do we know about larcenies? Larceny Vicm Type Retail businesses such as department, grocery, convenience or specialty stores are hardest 7,546 36 hit by theft. These three locations total 6,083 32% 18 offenses at these locations, or 66% of thefts are 45 committed at commercial locations. 211 14 1% Government or public buildings are the third 15,725 highest location for larceny offenses. Location 98 67% Individual subcategories highway/road/alley/street with Business 1,828, and parking lot or garage at 1,235 thefts Government Agency Financial Instuo n together make up 71% of government or public Other building location offenses. Schools are next Religious Organizaon with K-12 or secondary schools reporting 253 Unknown thefts and post K-12 or colleges reporting 172 The majority (67%) of larceny victims are individuals; larcenies. Campgrounds and parks are next businesses comprise almost a third of the remaining with 191 offenses. victims. The locations table on the opposite page details the location of the majority of business thefts. August is the month with the highest number of larcenies. Given that individuals are the Of the individual victims of larceny/theft, the age largest group of victims, August and other span breakdown is similar to many other crimes summer months may be opportune times for against persons. While the graph shows significantly crimes while people are more likely to be away more offenders than victims, 33% of victims are from home. businesses or other institutions.

Vicms and Offenders by Age and Gender

Female Offenders Male Offenders Female Vicms Male Vicms

2,036 Note: Demographic data totals will not match due to unknown 1,473 1,229 data. 1,635 624 831 919 268

420 82 151

1,784 40 1,541 773 1,459 1,403 1,315 1,214 1,154 997 1,094 1,078 470 880 750 205 299 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 >

Page 45 Data. A building block for safer communities. Commercial Larceny Locaon Subcategories

Department/Discount Store 2,187 Grocery/Supermarket 1,578 Convenience Store 1,163 Specialty Store 1,155 Hotel/Motel 585 Service/Gas Staon 536 Bar/Night Club 417 Commercial/Office Building 415 Restaurant/Cafeteria 354 Rental Storage Facility 235 Medical Office/Store/Facility 164 Shopping Mall 131 Commercial Bank/Savings and Loan 98 Residenal Auto Dealership New/Used 56 Gov./Public Buildings Liquor Store 51 Commercial Other/Unknown Air/Bus/Train Terminal 32 Residenal Construcon/Industrial ATM Separate from Bank 7 Gov./Public Buildings Field/Woods/Waterways Other/Unknown Tribal Lands Construcon/Industrial Field/Woods/Waterways Tribal Lands Crimes Per Time Range Crimes Per Day of Week

11% 9% 12% 15% 3% 12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 9% 6:00a - 8:59a 16% Wednesday 14% 9:00a - 11:59a Thursday 12:00p - 2:59p 14% Friday 3:00p - 5:59p Saturday 14% 6:00p - 8:59p Sunday 9:00p - 11:59p 16% 20% 14% 18% 15%

Crimes by Month 8 2 3 2,22 7 7 1,997 1,961 1,950 1,947 1,90 1,80 1,790 1,752 1,70 1,58 1,560

JANMFEBMAR APRJAY UN JULAUG SEPOCT NOV DEC

See more about your community at: crimein.MT.gov Page 46 Burglary Burglary 3,697 Burglary is the unlawful 3,455 3,526 3,558 3,396 3,273 3,263 entry into a building or other 3,119 3,085 3,167 structure with the intent to commit a felony or a theft. A “structure” is considered to include, but not be limited to, a building, railroad car, garage, 336 359 357 335 311 353 334 320 353 357 house trailer or houseboat (if used as permanent dwelling),

room, barn, stable, mill and 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 ship. Burglaries Burglary Crime Rate (per 100,000 populaon) Offenses locally known as burglary (any degree), unlawful entry with intent to commit a larceny or felony, % of Rate Change From Previous Year breaking and entering with intent to commit a larceny, 13% and housebreaking are classified as burglary. Thefts 10% from telephone booths, 7% coin-operated machines, 1% 0% 1% automobiles, tents, or -4% shoplifting from commercial -6% -5% establishments are classified as -7% larcenies and are not included in this offense. 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

There were 3,697 burglaries reported by the contributing agencies in 2016 for Burglary Locaons an increase of 1% from 2015. The burglary rate has 2%2% decreased four of the last ten years, however reaching 216 an all time high in the number of offenses in 2016. 6% The rate of 357 offenses per 100,000 population is slightly under the 10-year high of 359 set in 2008. 708 19% 71% of burglary locations are residential. The next largest category is commercial with 708 burglary offenses. The commercial locations vary withf o ce 2,633 buildings being the largest target, rental storage 71% facilities second and specialty stores third. Together, these top three locations account for 60% of all commercial burglaries. Residenal Commercial Government/Public Buildings The map on the next page shows both the number Other/Unknown and rate of burglary offenses for 2016. Construcon/Industrial

Page 47 Data. A building block for safer communities. Where are burglaries being committed? 2016 Reported Burglary Crimes and Crime Rates Per 1,000 Populaon by County

Toole Daniels Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Musselshell Wheatland Golden Granite Broadwater Fallon Valley Custer Deer Jeerson Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass Stillwater Powder Park Big Horn Carter Madison River Beaverhead Carbon Burglary Crime Rate Number of Burglaries 5 - 9 o enses per 1,000 population 250 - 854 o enses 3.5 - 4.9 o enses per 1,000 population 50 - 249 o enses 2 - 3.4 o enses per 1,000 population 20 - 49 o enses 1.5 - 1.9 o enses per 1,000 population 10 - 19 o enses .1 - 1.4 o enses per 1,000 population 1 - 9 o enses Zero burglaries reported

Commercial Burglary Locaon Subcategories

Office Building 163 Rental Storage Facility 145 Specialty Store 117 Restaurant/Cafeteria 60 Hotel/Motel 57 Bar/Night Club 38 Department/Discount Store 34 Grocery/Supermarket 22 Service/Gas Staon 17 Convenience Store 17 Auto Dealership 15 Drug Store/Doctor's Office/Hospital 12 Shopping Mall 5 Liquor Store 3 Air/Bus/Train Terminal 2 Bank/Savings and Loan 1

See more about your community at: crimein.MT.gov Page 48 How much does burglary cost Montana?

8 Million + in Burglary Property Loss Property offenses made up 50% of all Montana Burglary Incidents offenses in 2016. Of the Only That Include 3,697 burglary incidents Burglary Data Incidents a Burglary Totals reported, 2,147 or 58% had Property value loss $3,724,570 $4,480,225 $8,204,795 no other associated offenses. Number of incidents 2,147 1,550 3,697 For these burglary only % Of total incidents 58% 42% 100% incidences, property losses totaled $3,724,570. Those Value of Items: 1,550 incidents that included Burned $ - $177,000 $177,000 multiple offenses along Counterfeited/Forged $ - $10,281 $10,281 with a burglary resulted in Destroyed/Damaged $ - $445,165 $445,165 $4,480,225 in property loss. When added together, an Stolen $3,724,570 $3,847,779 $7,572,349 estimated $8,204,795 was loss Average loss per item reported $1,141 $1,385 $1,263 to incidents that included a Maximum reported item loss $102,100 $171,750 $171,750 burglary.

Of the incidents reporting at least one burglary and additional offenses, there were 2,184 non burglary offenses reported. These associated offenses are divided between crimes against persons, property and society. 76% of associated crimes (1,653) were crimes against property. Vandalism, larceny and motor vehicle theft account for 95% of the associated property crimes and the remaining 79 offenses are divided between six property crime categories detailed in the pie chart below.

Property Crimes Associated With Burglary Incidents

727 Other Crimes Associated With 44% 13 10 2016 Burglary Crimes 96 6% 5 79 Crimes 21 3 Against 5% Crimes Persons Against 152 Society 7% 27 379 751 17% 45% Vandalism Larceny/The Motor Vehicle The Crimes Fraud Against Counterfeing Property Stolen Propert y Arson 1,653 Aempt/Accountability 76% Robbery

Page 49 Data. A building block for safer communities. Top 10 Property Loss Categories by Value Lost

Automobiles $1,044,636

Jewelry/Precious Metals/Gems $968,273

Tools $952,346

Money $702,262 Other $677,447

Firearms $534,346

Computer Hardware/So ware $422,803

Recreaonal/Sports Equipment $289,991 Collecons/Collecbles $244,313 Radios/TVs/VCRs $187,624

The total value of the top ten property loss categories Other categories such as Household Goods and by dollar account for 73% of all property loss. Clothes/Furs reported more losses; however, the Automobiles stolen in connection to a burglary values were not as significant. The top 10 property account for a loss of over one million dollars. The loss categories by number of reported losses account category “automobiles” does not appear in the graph for 56% of all items reported with a value greater below because the number of vehicles stolen in than zero. Over 7,170 items were reported with connection to a burglary was 112 for an average value burglary offenses or the offenses associated with at of $9,327 per vehicle. least one burglary.

Top 10 Property Loss Categories by Number of Reported Losses

Other 869

Tools 742

Money 576

Computer Hardware/So ware 398

Household Goods 351

Radios/TVs/VCRs 335

Firearms 302

Jewelry/Precious Metals/Gems 257

Recreaonal/Sports Equipment 238

Clothes/Furs 235

See more about your community at: crimein.MT.gov Page 50 What else do we know about burglaries?

Burglary Vicm Type Some of the characteristics of burglaries vary from other property crimes. Given that 83% of victims are individuals, the majority of crimes occur during typical 674 12 14 work hours. 72% of these crimes occur 16% during weekdays with Monday and 60 4 1% Friday totaling 33%. Almost half, (43%) 3,602 of burglaries are committed between the 30 83% hours of 9 a.m. and 6 p.m. June, July Individual and August are the highest months for Business Government Agenc y burglaries. Weather may be a factor in Religious Organizaon the decreased number of crimes during Other the winter months. Financial Instuon

Crimes Per Time Range Crimes Per Day of Week

12% 13% 14% 16% 12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 6% 6:00a - 8:59a 14% Wednesday 9:00a - 11:59a Thursday 14% 12:00p - 2:59p 13% Friday 12% 3:00p - 5:59p Saturday 6:00p - 8:59p Sunday 17% 9:00p - 11:59p 11% 17% 13%

15% 13%

Crimes by Month

386 383 352 348 318 310 285 288 300 253 238 236

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

Page 51 Data. A building block for safer communities. Vicms and Offenders by Age and Gender 900

800 Female Offenders Male Offenders Female Vicms Male Vicms 700

600

500

400

300

200

100

0 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 >

Offender Race and Ethnicity

White Am. Indian/Alaskan Hispanic 205; 11% 54; 3% Black Hawaiian/Pacific Islander/Asian 98; 6% Offenders are 10% more likely to be a race 34; 2% other than white than the victims of burglary. 1,526; 83% Native Americans make up 6% of burglary 10; 1% offenders while only representing 4% of victims. Hispanic or Latino, Black or African American, and Native Hawaiian/Pacific Islander or Asian Vicm Race and Ethnicity combined total 6% of offenders and 3% of victims.

Both male and female offenders are primarily younger. 71% of offenders are age 34 or younger. Conversely, only 31% of victims are 55; 2% younger than 35, reporting an average of 602 139; 4% victims per group for the last four age ranges. 96; 3% 3,218; 93% White 28; 1% Am. Indian/Alaskan Hispanic Black 13; 0% Note: Hawaiian/Pacific Islander/Asian Demographic data totals will not match due to unknown data.

See more about your community at: crimein.MT.gov Page 52 Motor Vehicle Theft

A motor vehicle is defined as a Motor Vehicle The self-propelled vehicle that runs on 2,512 2,358 the surface of land and not on rails, and which fits one of the following 1,806 1,817 1,633 1,670 descriptions: 1,508 1,459 1,537 1,306 ffAutomobiles - automobiles, sedans, coupes, station wagons, 194 173 156 149 132 154 171 184 234 242 convertibles, taxicabs, or other similar motor vehicles serving the primary purpose 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 of transporting people. This Vehicle The OffensesVehicle The Offense Rates (per 100,000 populaon) includes minivans, automobiles used as taxis, sport-utility vehicles, and automobile derivative vehicles. Minivans % of Rate Change From Previous Year should be classified automobiles, as they meet the definition serving the primary purpose 27% of transporting people. This classification also includes 17% automobiles used as taxis; sport- 11% 8% 4% utility vehicles, such as Explorers, -3% -4% Highlanders, 4Runners, -11% -10% -12% Pathfinders, and Hummers; and automobile derivative vehicles, 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 such as Ranchero, El Camino, Caballero, and Brat. ff Buses - motor vehicles specifically designed (but not necessarily used) to transport groups of people on a commercial basis. Vicm Type ff Recreational Vehicles - motor vehicles specifically designed (but 8 253 not necessarily used) to transport people and also provide them 10% with temporary lodging for recreational purposes.

ff Trucks - motor vehicles specifically designed (but not necessarily used) to transport cargo on a commercial basis. Pickup trucks and pickup trucks with campers should be classified as 37 = Trucks, as they meet the definition specifically designed, but not necessarily used, to transport cargo. 2,345 ff Other Motor Vehicles - any other motor vehicles, e.g., 90% motorcycles, motor scooters, trail bikes, mopeds, snowmobiles, IndividualBusinessOther golf carts, etc., whose primary purpose is to transport people.

Page 53 Data. A building block for safer communities. 12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 6:00a - 8:59a Wednesday 9:00a - 11:59a Thursday 12:00p - 2:59p Friday 3:00p - 5:59p Saturday 6:00p - 8:59p Sunday 9:00p - 11:59p

Offenses by Month

250 259 226 225 207 211 212 218 185 184 175 160

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC ff Note: Motor Vehicle Thefts do not include farm are later abandoned are counted in this offense. equipment (tractors, combines, etc.), which falls Joyriding is included. Unauthorized use by chauffeurs under a separate property description. and others having lawful access to the vehicle is not included in motor vehicle theft. In 2016, contributing All cases where motor vehicles are taken by persons agencies reported 2,512 offenses of motor vehicle not having lawful access even though the vehicles theft.

Vicms and Offenders by Age and Gender 750

675

600 Female Offenders Male Offenders Female Vicms Male Vicms 525

450

375

300

225

150

75

- 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 >

See more about your community at: crimein.MT.gov Page 54 What else do we know about motor vehicle theft?

20 Million + in Motor Vehicle Theft (MVT) Property Loss Motor vehicle theft accounts for Incidents approximately 25% MVT Only That Include of all property loss MVT Data Incidents a MVT Totals for Montana. Of the Property value loss $12,331,836 $8,084,410 $20,416,246 2,512 vehicle thefts Number of incidents 1,722 790 2,512 reported, 1,722 or % Of total incidents 69% 31% 100% 69% had no other associated offenses. Value of Items: For these theft/ Burned $ - $27,798 $27,798 larceny only incidents, Counterfeited/Forged $ - $2,566 $2,566 property losses totaling Destroyed/Damaged $ - $230,502 $230,502 $12,331,836 were recorded as property Stolen $12,331,836 $7,823,544 $20,155,380 losses. Those 790 Average loss per item reported $7,246 $4,420 $5,782 multiple offenses Maximum reported item loss $150,000 $100,000 $150,000 incidents that included at least one vehicle theft resulted in $8,084,410 in property loss. When added together, an estimated $20,416,246 was lost to incidents that included at least one motor vehicle theft offense.

Of the incidents reporting at least one motor vehicle theft and additional offenses, there were 1,132 associated offenses reported. These associated offenses are divided between crimes against persons, property and society. 68% of associated crimes (767) were crimes against property including vandalism, larceny, robbery, burglary, arson, and a second motor vehicle theft offense. 304 or 27% of the associated crimes were crimes against society such as drug and DUI offenses. The remaining 61 crimes against persons were primarily assaults.

Other Crimes Associated With 2016 Motor Vehicle The Offenses Motor Vehicle The Locaon 61 5% 974 420 38 38% 16% 304 22 27% 129 5% 3

767 1,057 66 68% 41% Residenal Gov./Public Buildings Commercial Other/Unknow n Crimes Against Property Construcon/Industrial Crimes Against Society Field/Woods/Waterway s Crimes Agains People Tribal Lands

Page 55 Data. A building block for safer communities. Top 10 Property Loss Categories by Value Lost

Automobiles $15,916,998 Trucks $1,434,468 Other Motor Vehicles $947,802 Recreaonal Vehicles $598,950 Tools $304,150 Other $181,183 Watercra $142,400 Construcon Equipment $135,437 Vehicle Parts/Accessories $107,613 Trailers $76,704

41% of vehicles were stolen from a residence. 38% loss items was automobiles with 2,141 items reported. or 974 were stolen from government or public Trucks and other vehicles add almost $1.5 million buildings. Of those, 574 fell under the subcategory of more to the loss total. government or public building, and 333 were stolen from a military installation. Interestingly, 18% of Other categories such as Household Goods and those vehicles stolen from a commercial location Clothes/Furs were reported, however the values were were stolen from an auto dealership. not as significant.

The total value of the top ten property loss categories The top 10 property loss categories by number of by dollar account for 97% of all property loss reported losses account for 81% of all items reported associated with motor vehicle theft property loss. with a value greater than zero. Of the 3,750 items Automobiles stolen in connection to a burglary reported, 68% were either automobiles, other motor account for a loss of almost $16 million. As would vehicle, trucks, or recreational vehicles. be expected, the number one category for property

Top 10 Property Loss Categories by Number of Reported Losses

Automobiles 2,141 Other Motor Vehicles 177 Vehicle Parts/Accessories 165 Other 154 Trucks 130 Tools 123 Recreaonal Vehicles 117 Clothes/Furs 69 Money 66 Recreaonal/Sports Equipment 59

See more about your community at: crimein.MT.gov Page 56 if a crime should be designated as Group A offenses include the a Group A offense: following offenses: ƒƒ Arson ƒ ff The seriousness or significance ƒ Assault ƒ of the offense; ƒ Bribery ƒƒ Burglary ff The frequency or volume of its ƒƒ Counterfeiting/Forgery occurrence; ƒƒ Criminal Mischief/Vandalism The crimes detailed in this ff The prevalence of the offense ƒƒ Drug Offenses section are not included in the nationwide; ƒƒ Embezzlement index crime rates collected ƒƒ Extortion/Blackmail f by the Federal Bureau of f The probability law ƒƒ Fraud Investigation. Because of the enforcement becomes aware ƒƒ Gambling volume of these crimes and the of the offense; ƒƒ Homicide impact on Montana communities, ff The likelihood law ƒƒ Human Trafcking information is collected and enforcement is the best ƒƒ Kidnapping analyzed on a select few offenses. channel for collecting data ƒƒ Larceny/Theft Those offenses are simple assaults, regarding the offense; ƒƒ Motor Vehicle Theft partner or family member ƒƒ Obscenity/Pornography ff The burden placed on law assaults, drug offenses, and fraud. ƒƒ Prostitution enforcement in collecting data A brief summary of other lesser ƒƒ Robbery on the offense; reported Group A Crimes will be ƒƒ Sex Offenses detailed at the end of this section. ff The national statistical validity ƒƒ Non-Forcible Sex Offenses and usefulness of the collected ƒƒ Stolen Property Offenses In NIBRS, the list of reportable data and; ƒƒ Weapon Law Violation offenses has greatly expanded ff The FBI UCR Program’s beyond the seven index crimes. responsibility to make crime Both Group A and Group B This expanded list can be grouped data available not only to law offenses are broken down even into two different categories: enforcement but to others further based on Montana Code Group A offenses and Group B having a legitimate interest in Annotated law codes. The offenses. NIBRS developers use it. following section will detail select the following criteria to determine Group A Offenses.

Simple Assault & Intimidation

Simple Assault Crimes Simple Assault is defined as an unlawful physical attack by one person upon another 2,573 where neither the offender displays a weapon, 35% 63 907 nor the victim suffers obvious severe or 12% aggravated bodily injury involving apparent 209 15 3% Partner or family member assault (non-aggravated) 131 Assault, simple - with minor injuries 3,711 Resisng arrest Negligent endangerment 50% Assault with bodily fluid, non-aggravated Abuse, neglect, or exploit the elderly, non-aggravated

Page 57 Data. A building block for safer communities. broken bones, loss of teeth, Simple Assault Crimes possible internal injury, severe 8,532 7,951 7,887 laceration, or loss of consciousness 7,476 7,284 7,348 6,672 6,438 5,941 6,147 Intimidation is a subcategory of simple assault and is defined as unlawfully placing another person in reasonable fear of bodily harm 918 840 816 766 673 729 608 622 638 709 through the use of threatening words and/or other conduct, but without displaying a weapon or 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 subjecting the victim to actual physical attack (includes stalking). Simple Assult Crimes Simple Assault Crime Rates (per 100,000 populaon) Montana began gathering simple assault data in 2002. Since then, the simple assault offense rate % of Rate Change From Previous Year rose to a record high of 8,532 in 2007. Offenses trended down until an up-tick in 2012, dropping to an all time low of 5,941 in 11% 8% 2013. Crimes have trended up 3% 2% 3% from 2013 to 2016 for a three year -3% -6% increase of 24%. -8% -12% -17% The graph on the previous page shows half (3,711) of simple assaults are partner or family 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 member assaults. These assaults will be reported on separately after this section. Vicms and Offenders by Age and Gender 3,000 Victims outnumber offenders by over 400 individuals. The age 2,500 group of 25 to 34-year olds covers Male Offenders Male Vicms 29% of offenders and 30% of Female Offenders Female Vicms victims. Of the 30% of offenders, 2,000 males total 76% while females are 24% of this age group. Victims percentage of gender for this 1,500 group show females totaling 56%, and males 44%. 1,000

Throughout all age groups, males 500 total 73% of offenders, and 47% of victims. Females total 27% of offenders, and 53% of victims. 0 <10 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 >

See more about your community at: crimein.MT.gov Page 58 Where and when are simple assaults happening?

Vicm to Offender Relaonship In 78% of simple assaults, the victim knew the offender. In 22% of these crimes the offender was 340 either a stranger or unknown. 828 5% 11% 2,625 57% of simple assault locations are residential. 878 34% 42% of locations occurred in government/public 11% buildings, or commercial businesses. The detail for each of these categories is shown below.

1,104 Only one county, Roosevelt, is in the top ranking 14% for both number of crimes and crime rate per 1,000 1,935 population. Musselshell is in the top category for 25% crime rate, but is in one of the lower groupings for number of crimes. Inmate Acquaintance Family Unknown Stranger Vicm was Offender

Government/Public Buildings 1,031 217 212 Correct 133 121 Government/Public Building 80 34 27 27 26 25 6 4 3 2 1 Commercial 2 2 8 13 15 18 Commercial Building 20 31 41 55 57 60 83 122 194 337

Page 59 Data. A building block for safer communities. 2016 Reported Aggravated Assault and Simple Assault Rates Per 1,000 Populaon by County Daniels Toole Sheridan Lincoln Glacier Hill Liberty Blaine Valley Flathead Phillips Roosevelt Pondera

Teton Chouteau Richland Sanders Lake McCone

Lewis Cascade Fergus and Judith Petroleum Gar eld Dawson Missoula Clark Basin Prairie Wibaux Rosebud Powell Meagher Wheatland Musselshell Granite Golden Fallon Broadwater Valley Jeerson Custer Deer Sweet Lodge Silver Yellowstone Ravalli Grass Bow Gallatin Stillwater Powder Carter Madison Park Big Horn Carbon River Beaverhead Aggravated Assault Crime Rates Simple Assault Crime Rates (per 1,000 Population) (per 1,000 population) 4.5 - 6.1 1.7 - 2.4 8.8 - 17.9 4.0 - 4.9 3.5 - 4.4 1.4 - 1.6 7.0 - 8.7 2.0 - 3.9 Zero reported 2.5 - 3.4 0.1 - 1.3 5.0 - 6.9 0.1 - 1.9

12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 6:00a - 8:59a Wednesday 9:00a - 11:59a Thursday 12:00p - 2:59p Friday 3:00p - 5:59p Saturday 6:00p - 8:59p Sunday 9:00p - 11:59p

Crimes by Month

643 673 651 667 626 558 605 608 575 593 581 568

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

See more about your community at: crimein.MT.gov Page 60 What else do we know about simple assaults?

67% of simple assaults are committed without reported in the index property crimes sections listed. additional offenses included in the incident. In the Those crimes including vandalism, shoplifting, 2,449 simple assaults that included more than one burglary, motor vehicle theft, and robbery resulted in offense, 56% of those additional offenses were crimes $705,512 in property loss. The property loss includes against society. Of those 1,097 offenses included the following totals: in the subcategory Other, they were primarily obstruction of a peace ofcer or other public servant; ff $2,500 in burned property trespassing; and violations of court orders. ff $50 in counterfeited or forged documents ff $279,113 in destroyed, damaged or vandalized 50% of the crimes against persons were a second property simple assault offense, though more serious offenses ff $423,849 in stolen property were also associated such as assault with a weapon, sexual assault and rape.

20% of associated offenses were crimes against property. While simple assault crimes do not gather $705,512 in Property Loss property loss values, the associated property crimes Associated with Simple Assault Offenses documents losses associated with these types of assaults. These values are duplicated here and were

Crimes Against Society Other 1,097 Disorderly conduct 642 Drug offenses 404 DUI 152 Liquor law violaons 95 Weapons offenses 40 Nonviolent family offenses 37 Juvenile offenses 18 Prostuon 2

Crimes Against Persons 2nd simple assault in incident 540 Assault with a weapon 366 Unlawful restraint 94 Obscene phone call 39 Sexual assault 28 Rape 19

Crimes Against Property Vandalism 590 Shopli ing 135 Burglary 77 Motor vehicle the 31 Robbery 22 Other property crimes 14 0 200 400 600 800 1000 1200

Page 61 Data. A building block for safer communities. Partner or Family Member Assaults

Partner or family member assaults Partner or Family Member Assault Crimes (PFMA) are a subcategory for each of 4,468 4,528 the following assault categories except 4,118 4,184 4,075 4,160 3,686 that they occur with intimate partners 3,504 3,429 3,485 or family members. Montana Code Annotated (45-5-206) defines family member to mean mothers, fathers, children, brothers, sisters, and other 481 435 433 359 372 408 351 353 412 437 past or present family members of a household. These relationships include relationships created by 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 adoption and remarriage, including PFMA Assult Crimes PFMA Crime Rates (per 100,000 populaon) stepchildren, stepparents, in-laws, and adoptive children and parents. These relationships continue regardless of % of Rate Change From Previous Year the ages of the parties and whether the parties reside in the same 17% household. Partners means spouses, former spouses, persons who have a 8% 10% 6% child in common, and persons who -1% 4% 0% have been or are currently in a dating -9% or ongoing intimate relationship. -14% -17% Assaults are defined as an unlawful attack by one person upon another: 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 ff Aggravated Assault - the offender uses a weapon or displays it in a threatening manner, or the PFMA Crime Rates Per 10,000 Populaon victim suffers obvious severe or 50 aggravated bodily injury involving 40

apparent broken bones, loss of 30 teeth, possible internal injury, 20 severe laceration, or loss of consciousness. 10 ff Simple Assault - neither the 0 offender displays a weapon, nor 2012 2013 2014 2015 2016 the victim suffers obvious severe PFMA-Aggravated PFMA-Inmidaon or aggravated bodily injury PFMA-Simple Total of all PFMA Crime Rate involving apparent broken bones, loss of teeth, possible internal injury, severe laceration, or loss of consciousness. ff Intimidation - unlawfully placing another person in reasonable fear of bodily harm through the use of threatening words and/or other conduct but without displaying a weapon or subjecting the victim to actual physical attack.

See more about your community at: crimein.MT.gov Page 62 Where are PFMA crimes occurring?

Legislation enacted in 1987 required reporting In 2012, MBCC added another Partner or Family domestic violence as PFMA and defining it as Member non-aggravated assault category of criminal conduct. PFMA offenses began to be intimidation to the offense code list. This offense reported in the 1989 Crime in Montana as a subset of accounts for non-violent assaults where the threat other/simple assaults. of injury was present and the victim feared for their safety. Intimidation offense data began being PFMA offenses reported under the simple assault collected in 2013 as shown in the chart on the PFMA subcategory may not have accurately reflected previous page. the seriousness of some crimes. PFMA crimes may have been reported under aggravated assault when Partner or family member assaults occur 80% of more serious injuries were involved. To better the time in residential settings. While only 18% capture the date reflecting the PFMA crimes, the of these assaults are committed in commercial, PFMA subcategory was added to the aggravated government or public buildings, the volume and assault offense codes after 2000. number of subcategories represented are of interest.

Government/Public Buildings Highway/Road/Alley/Street 369 Parking Lot/Drop Lot/Garage 80 Park/Playground 26 Camp/Campground 20 Government/Public Building 13 School-K-12 11 Arena/Stadium/FairGrounds 8 Gambling Facility 7 Correcons Facility 3 School-College/University 3 Shelter-Mission/Homeless 2 Military Installaon 1 Amusement Park 1 Church/Synagogue/Temple 1 Rest Area 1 Commercial Bank/Savings & Loan 1 Liquor Store 1 Auto Dealership 1 Residenal Air/Bus/Train Staon 2 Gov./Public Buildings Commercial Building 4 Commercial Specialty Store 6 Field/Woods/Waterways Shopping Mall 6 Medical Store/Facility 8 Unknown Department Store 9 Tribal Lands Rental Storage Facility 11 Service/Gas Staon 13 Grocery/Supermarket 15 Convenience Store 17 Restaurant/Cafeteria 17 Bar/Night Club 37 Hotel/Motel 123

Page 63 Data. A building block for safer communities. All Rate per PFMA Rate per PFMA Rate per PFMA Rate per PFMA 1,000 Aggravated 1,000 Intimidation 1,000 Simple 1,000 Roosevelt9.57 Liberty2.89Big Horn2.78 Roosevelt7.95 In the category Hill 7.98 Prairie2.60 Lake 2.63 Hill 6.60 government/ Lake 7.23 Broadwater 1.58 Deer Lodge2.41Toole 5.75 public building. Deer Lodge6.91 Fergus 1.32 Powell 1.91 Glacier5.04 68% of these Toole6.15 Big Horn 1.28 Powder River 1.68 Yellowstone4.76 Broadwater 6.13 Golden Valley1.22 Roosevelt1.62 Lewis & Clark4.49 PFMA crimes Big Horn 5.78Blaine0.76Fallon1.54Park4.48 took place on Glacier5.55 Phillips0.72Valley1.29 Lake 4.39 highways, roads, Silver Bow 5.47 Deer Lodge0.66 Flathead 1.23 Phillips 4.33 alleys, or streets. Powell 5.43Dawson0.61Sanders 1.15 Silver Bow 4.09 Yellowstone 5.23McCone0.60Pondera 1.13 Cascade4.06 Lincoln5.23Powell0.59Sweet Grass 1.10 Richland 3.93 45% of crimes Prairie5.19Meagher 0.55 Silver Bow 1.04 Lincoln3.85 committed in Dawson 5.12Jefferson0.51Dawson1.02 Deer Lodge3.84 a commercial Phillips5.05 Wheatland0.48 Hill 1.02 Broadwater 3.68 location were Park 4.79 Missoula 0.47 Madison1.00Custer3.51 Flathead 4.60 Sanders 0.44 Lincoln0.95 Dawson 3.48 committed in Richland 4.57Lincoln 0.42 Broadwater 0.88 Missoula3.48 hotels or motels. Lewis & Clark4.56 Toole0.40 Beaverhead 0.86 Sheridan 3.46 Only 14% were Fergus 4.21 Yellowstone 0.40 Rosebud 0.85 Ravalli 3.39 committed in bars Missoula4.19 Hill 0.36 Carbon 0.67 Flathead 3.26 Cascade4.10Silver Bow 0.35 Teton0.65 Jefferson 3.08 or night clubs. Sheridan 3.99 Richland 0.32 Sllwater 0.63 Powell 2.94 Valley3.88Granite 0.31 Granite0.61Musselshell 2.83 The table to the Sanders 3.79 Glacier0.29Daniels 0.57Fergus2.63 right shows the Custer 3.76 Custer 0.25 Sheridan 0.53Prairie 2.60 total PFMA Ravalli 3.75 Madison0.25 Chouteau 0.35 Valley 2.59 Fallon3.69Mineral 0.23 Richland 0.32 Gallan2.29 offense combined Jefferson 3.59Musselshell 0.22 Fergus 0.26 Pondera 2.26 in the first two Pondera 3.39 Lake 0.20 Park 0.25 Sanders 2.21 columns, sorted in Musselshell 3.05 Ravalli0.19Missoula0.24Fallon2.15 descending order Granite3.05 Flathead 0.11 Mineral0.23Granite 2.14 Liberty2.89Lewis & Clark 0.07 Glacier0.22Wheatland 1.90 by the PFMA Powder River 2.80 Park 0.06 Ravalli0.17Teton 1.80 crime rate per Golden Valley2.45 Cascade0.04Yellowstone 0.08 Big Horn 1.73 1,000 population. Teton2.45 Gallan 0.04 Gallan 0.01 Carbon 1.62 The following Wheatland2.38BeaverheadBlaineSllwater 1.46 six columns Gallan 2.34 Carbon Carter Golden Valley1.22 Carbon 2.29 Carter CascadeBeaverhead1.18 show each of Sllwater 2.09 Chouteau Custer Powder River 1.12 the three PFMA Beaverhead 2.04 DanielsGarfield Meagher1.10 offenses sorted in Madison2.01FallonGolden Valley Blaine 1.06 descending order Blaine 1.82 GarfieldJeffersonJudith Basin 1.05 Rosebud 1.70 Judith Basin Judith Basin Wibaux 0.86 by crime rate per Meagher1.65 PetroleumLewis & Clark Rosebud 0.85 1,000 population. Sweet Grass1.65 PonderaLiberty Madison0.75 The counties with McCone 1.20 Powder River McCone Garfield0.74 the highest total Judith Basin 1.05 Roosevelt MeagherChouteau0.69 PFMA rate, do not Chouteau 1.04 RosebudMusselshell McCone 0.60 Wibaux 0.86 Sheridan PetroleumSweet Grass 0.55 necessarily have Garfield0.74Sllwater PhillipsMineral 0.23 the highest PFMA Mineral0.70Sweet Grass PrairieCarter rates for the three Daniels0.57Teton Toole Daniels different offenses. Carter Treasure Treasure Liberty PetroleumValleyWheatland Petroleum Treasure Wibaux Wibaux Treasure

See more about your community at: crimein.MT.gov Page 64 What else do we know about PFMA crimes?

5-Year Trend for Violaons of Orders Vicm to Offender Relaonship 3%3% 2016 205 397 265 5% 2015 156 404 2014 137 381 2013 109 288 1,198 25% 2012 97 334 3,107 Violaon of No-Contact OrderViolaon of Protecve Order Inmate 64% Family Note: Vicm was Offende r Demographic data totals will not match Acquaintance Race and Ethnicity due to unknown data. Unknown 5,000 Over the five-year period from 2012 to 2016 violations of protective orders have increased 52% from the low in 2013 of 397 violations to 4,500 602 violations in 2016. The PFMA crime rate of increase for the same period was 24%.

4,000 The relationship of unknown for these offenses may indicate the victim was not willing to name the person that assaulted them.

3,500 Demographics indicate males are 75% of all PFMA offenders, and Hawaiian/Pacific 27% of PFMA victims. The age group of 25 to 34-years of age covers Islander 34% of offenders and 31% of victims. 79% of victims and 77% of offenders are white. 16% of both offenders and victims are Native 3,000 Asian American or Alaskan Natives.

Black/African 2,500 American Offenders and Vicms by Age and Gender

Hispanic/Lano 1,600 Male Offenders Male Vicms 2,000 Female Offenders Female Vicms 1,400 American Indian/Alaskan 1,200 1,500 White 1,000

1,000 800

600

500 400

200

0 0 OffenderVicm <10 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 >

Page 65 Data. A building block for safer communities. What else do we know about PFMA crimes? Top 10 Offenses Associated with PFMA Of the 4,528 PFMA crimes reported, there were an Criminal mischief/vandalism 201 additional 1,692 non-PFMA Destrucon of a communicaon device 190 offenses associated with those Assault with a weapon 103 incidents. The top 10 offenses Disorderly conduct 99 are shown to the right. The top Obstrucng a peace officer or public servant 89 80 two offenses are crimes against Possession of drug paraphernalia 69 society and represent 23% of Resisng arrest 69 the associated offenses. Assault, simple - with minor injuries Unlawful restraint 67 Possession of dangerous drugs 67 30% of the associated offenses were property crimes. These property crimes associated with PFMA assaults totaled $226,401 for 2016. Destroyed, damaged When PFMA Crimes are Occurring or vandalized property totaled (%) RepresentsPe rcpercententa forge all of PFMA PFMA Assaults Crimes for the by time Time period. of Day $127,051, while stolen property 12-2:59a - (15%) totaled $99,350. Given that 3-5:59a - (6%) PFMA assaults are included in 6-8:59a - (5%) other assault summaries, these 9-11:59a - (9%) numbers are duplicated but 12-2:59p - (12%) worth noting. 3-5:59p - (14%) 6-8:59p - (19%) The data indicates offenders are 9-11:59p - (20%) committing crimes primarily 0 200 400 600 800 1,000 between the hours of 6 p.m. and midnight. The next time span of midnight to 3 a.m. is the third highest. Together, 54% of PFMA assaults are committed 5 between 6 p.m. and 3 a.m. Percentage of PFMA Crimes by Month Sunday followed by Saturday have the highest percentage of JAN - (9%) PFMA crimes together totaling FEB - (8%) 35% of crimes for the week. MAR - (8%) The middle of the week is the APR - (9%) MAY - (9%) slowest part of week totaling JUN - (9%) 36% for the three days. JUL - (10%) AUG - (7%) The largest spike for PFMA SEP - (8%) crimes is in July. January and OCT - (8%) December are the next two NOV - (8%) DEC - (9%) spikes. April through June are

also 9% and fall within the 9% Time of Day of Week Day Month Crimes by 0 100 200 300 400 range of 432-367 crimes. PFMA Aggravated PFMA Inmidaon PFMA Simple

See more about your community at: crimein.MT.gov Page 66 Drug Offenses

Drug offenses are defined as the violation of laws prohibiting the Drug Offenses 8,721 production, distribution, and/ 8,110 or use of certain controlled 7,442 6,029 6,349 5,493 substances and the equipment 5,033 5,120 5,011 5,028 or devices utilized in their preparation and/or use.

ƒƒ Drug or Narcotic Violations 591 532 530 513 507 603 650 753 804 841 - The unlawful cultivation, manufacture, distribution, sale, purchase, use, possession, 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 transportation, or importation Drug OffensesDrug Crime Rate (per 100,000 populaon) of any controlled drug or narcotic substance. ƒƒ Drug Equipment Violations - The unlawful manufacture, sale, purchase, possession, or transportation of equipment or devices utilized in preparing and/or using drugs or narcotics. The table below shows the offense subcategories under both drug or narcotic violations and drug equipment violations. 82% of drug or narcotic violations are possession offenses. 99.8% of equipment violations are for possession of drug paraphernalia.

Drug/Narcoc Violaons Possession of dangerous drugs/provider use of med. marijuana 3,865 Sale of dangerous drugs 358 Possession with intent to sell 271 Possession of toxic substances 60 Fraudulently obtaining dangerous drugs 51 Producon or manufacture of dangerous drugs 27 Criminal child endangerment 22 Sale of dangerous drugs on/near school property 7 Sale of imitaon dangerous drug 7 Operaon of clandesne lab 6 Sells or gives intoxicang substances to minors 6 Possession of imitaon drugs with purpose to sell 4 Possession of precursors to dangerous drugs 3 Altering labels on dangerous drugs 2 Manufacturing marijuana in undisclosed/shared locaon 1 Registered cardholder illegal manufacture of marijuana 1

Drug Equipment Violaons Delivery of drug paraphernalia to a minor 3 Manufacture or delivery of drug paraphernalia 4 Possession of drug paraphernalia 4,023 0 500 1,000 1,500 2,000 2,500 3,000 3,500 4,000

Page 67 Data. A building block for safer communities. Drug offenses have steadily risen % of Rate Change From Previous Year since 2010. Since 2010, offenses have risen 74% to an all time high 19% of 8,721 offenses. The rate has 16% only increased 66% from the low in 2011. 8% 7% 5% The locations are what you might 0% -1% -2% -3% expect indicating that drugs are everywhere including secondary -10% schools, campgrounds, homeless

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 shelters and banks.

Commercial Hotel/Motel 367 Department Store 151 Convenience Store 148 Bar/Night Club 116 Grocery/Supermarket 101 Service/Gas Staon 91 Medical Office or Facility 83 Specialty Store 66 Restaurant/Cafeteria 61 Air/Bus/Train Terminal 56 Commercial Building 39 Shopping Mall 24 Rental Storage Facility 16 Bank/Savings and Loan 9 Auto Dealership New/Used 8 Liquor Store 3 ATM Separate from Bank 1 Government/Public Building Daycare Facility Amusement 2 Park 2 Rest Area 3 Arena/Stadium/FairGround Government/Public Buildings 4 Residenal Shelter-Mission/Homeless 9 Commercial Church/Synagogue/Temple 16 Other/Unknown Camp/Campground School- 25 Field/Woods/Waterways College/University Gambling 65 Facility 110 Park/Playground 163 Government/Public Building 257 School-K-12 267 Correcons Facility Parking 294 Lot/Drop Lot/Garage 453 Highway/Road/Alley/Street 3,519

See more about your community at: crimein.MT.gov Page 68 What types of drugs and how much?

One of the most asked questions Top 3 Drug Types Seized about drug offenses is "what types of drugs are on the rise?" Nationally, an 2,500 opioid epidemic is of great concern. 2,000 Montana does not have an exclusive category for opioids, however opioids 1,500 would fall under the narcotics category that includes: 1,000

500 ff Crack Cocaine ff Cocaine 0 ff Heroin 2012 2013 2014 2015 2016 ff Morphine Marijuana/Hashish Smulants Narcocs ff Opium ff Other Narcotics Marijuana/Hashish Seized ƒƒ Codeine 2,085 2,133 2,204 ƒƒ Demerol 2,018 1,853 ƒƒ Dihydromorphinone or Dilaudid ƒƒ Hydrocodone or Percodan ƒƒ Methadone ƒƒ Pentazocine ƒƒ Propoxyphene or Darvon 2012 2013 2014 2015 2016 Marijuana Hashish ƒƒ Buprenorphine ƒƒ Desomorphine Smulants Seized 1,421 1,168 The biggest increase in number of arrests is heroin with an increase of 793 367% since 2012. Methamphetamine 545 offenses have increased 313% during 344 that same time period. It is worth noting the number of meth offenses are almost 10 times the number of 2012 2013 2014 2015 2016 heroin offenses. Amphetamines/Methamphetamines Other Smulants

Narcocs Seized In Montana, marijuana and hashish 262 continue to be the largest number of 226 drug offenses (2,204) and quantity 168 seized (218,798 grams or over 482 115 pounds and 555 plants). 59 36 48 The table to the right shows the number of drug incidents and 2012 2013 2014 2015 2016 incident rate per 1,000 population by Crack Cocaine Cocaine Heroin county in descending order. Morphine Opium Other Narcocs

Page 69 Data. A building block for safer communities. Incident Rate Other Drug Types Seized (Per 1,000 County Population) Incidents 300 Lake 8.95 265 Hill 8.22 137 250 Dawson 7.16 70 Musselshell 6.75 31 200 Powell 6.02 41 Richland 5.85 73 150 Flathead 5.35 521 Lincoln 5.23 99 100 Deer Lodge 5.05 46 Yellowstone 4.84 769 50 Gallatin 4.83 498 Silver Bow 4.41 153 0 Toole 4.17 21 2012 2013 2014 2015 2016 Valley 4.14 32 Park 4.11 66 Other DrugsUnknown Type Drug Depressants Hallucinogens Missoula 3.87 446 Beaverhead 3.86 36 Phillips 3.85 16 Carbon 3.81 40 Grams of Marijuana Seized Roosevelt 3.59 42 218,798 Lewis & Clark 3.43 230 186,581 Meagher 3.30 6 171,074 Glacier 3.28 45 Cascade 3.21 265 Ravalli 3.20 133 67,791 Sheridan 2.66 10 37,003 Broadwater 2.63 15 Sanders 2.47 28 Custer 2.45 30 Jefferson 2.39 28 2012 2013 2014 2015 2016 Sweet Grass 2.20 8 GRAMS of Marijuana (in addion to number of plants) Rosebud 2.12 20 Prairie 1.73 2 Granite 1.53 5 Blaine 1.52 10 Grams of Drugs Seized Teton 1.47 9 14,814 Stillwater 1.46 14 Treasure 1.44 1 Fergus 1.40 16 Big Horn 1.35 18 Madison 1.26 10 Golden Valley 1.22 1 Pondera 1.13 7 Judith Basin 1.05 2 6,142 Carter 0.84 1 5,292 Garfield 0.74 1 4,771 Fallon 0.61 2 McCone 0.60 1 1,822 Daniels 0.57 1 1,473 Chouteau 0.52 3 1,357 684 568 555 Wheatland 0.48 1 721 120 342 109 338 Liberty 0.41 1 2012 2013 2014 2015 2016 Petroleum 0.00 0 Powder River 0.00 0 Marijuana PLANTS Grams of Methamphentamine Grams of Heroine Wibaux 0.00 0 Mineral 0.00 0

See more about your community at: crimein.MT.gov Page 70 Property loss and drug offenses Drugs continue to be Top 10 Property Loss Categories by Value Lost integrated into crimes against persons, society Automobiles $637,140 and property. Crimes Structures - Other Dwellings $207,506 against society were the Recreaonal Vehicles $80,000 most reported offenses Money $72,053 (2,704) associated with Trucks $69,700 drug crimes including Tools $46,940 trespassing, gambling, Other $35,849 liquor law violations, Firearms $31,528 driving under the Other Motor Vehicles $26,000 influence and weapons Negoable Instruments $24,435 violations among other $0 $150,000 $300,000 $450,000 $600,000 $750,000 offenses. Crimes against Top 10 Property Loss Categories Offenses property was the next reported category with Other 121 994 offenses. These Automobiles 108 crimes are detailed below Consumable Goods 73 and account for the Merchandise 71 majority of the property Clothes/Furs 62 loss detailed in the charts Money 61 to the left. The fewest Tools 39 associated crimes were Portable Elec. Communicaons 35 Computer Hardware/So ware 34 crimes against persons Drugs/Narcocs 34 with 601 offenses. 86% of these crimes were assaults. 050100 150

$1,410,142 in Property Loss Associated with Drug Offenses

Property Crimes (Associated With Drug Incidents) Embezzlement 4 Arson 4 Other 10 Robbery 17 Forgery/Counterfeit 45 Fraud 81 Motor Vehicle The 87 Burglary 99 Vandalism 139 Larceny/The 471 050 100 150 200 250 300 350 400 450 500

Page 71 Data. A building block for safer communities. 12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 6:00a - 8:59a Wednesday 9:00a - 11:59a Thursday 12:00p - 2:59p Friday 3:00p - 5:59p Saturday 6:00p - 8:59p 9:00p - 11:59p Sunday

Crimes by Month

898 773 755 714 740 758 721 694 690 672 642 664

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

Known Offender Age 33% of drug offenses Offender Race and Ethnicity were reported between and Gender 5,500 the hours of 9 p.m. and 3 2,500 a.m. Between 3 a.m. and 9 5,000 a.m. the fewest number of 4,500 Males reports were made. Monday

Females through Thursday together 4,000 2,000 total 59% of drug offenses. Hawaiian/Pacific Friday and Saturday report 3,500 Islander 31% of drug offenses. March Asian received 16% more reported 3,000 1,500 drug offenses than the next 2,500 Black/African highest month, May. American 2,000 Hispanic/Lano 58% of offenders are 1,000 1,500 between the ages of 18 American and 34. The numbers 1,000 Indian/Alaskan for the other age groups White 500 are significantly lower 500 as the graph to the left demonstrates. 31% of 0 offenders are female. 78% of 0 offenders are white, 13% are Note: Demographic data 65+ American Indian or Alaskan

10-17 18-24 25-34 35-44 45-54 55-64 totals will not match Native. due to unknown data.

See more about your community at: crimein.MT.gov Page 72 Fraud Offenses

Fraud is the intentional perversion of the truth for the purpose of Fraud Offenses inducing another person or other 2,437 2,421 entity in reliance upon it to part with 2,041 1,937 1,959 2,040 1,726 1,731 1,740 something of value or to surrender a 1,599 legal right.

ƒƒ False Pretenses/Swindle/ Confidence Game - The 220 205 179 177 161 174 201 206 242 234 intentional misrepresentation of existing fact or condition or the use of some other deceptive 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 scheme or device to obtain Fraud Offenses Fraud Offense Rates (per 100,000 populaon) money, goods, or other things of value. % of Rate Change From Previous Year ƒƒ Credit Card/Automated Teller Machine Fraud - The unlawful use of a credit (or debit) card 17% or automatic teller machine for 15% fraudulent purposes. 8% 3% 3% ƒ -1% ƒ Impersonation - Falsely -3% representing one’s identity -7% -9% or position and acting in the -13% character or position thus

unlawfully assumed to deceive 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 others and thereby gain a profit or advantage, enjoy some right or privilege, or subject another person or entity to an expense, charge, or liability that would not have otherwise been incurred.

Offense g 2 incapacitated 2 4 6 6 7 False Pretenses/Swindle/Confidence Game 14 Impersonaon Credit Card/Automac Teller Frau d

24 Welfare Fraud 42 Wire Fraud 294 891

Page 73 Data. A building block for safer communities. Commercial Larceny/The Locaon Subcategories Department Store 222 Specialty Store 149 Bank/Savings & Loan 131 Convenience Store 99 Restaurant/Cafeteria 97 Hotel/Motel 88 Service/Gas Staon 67 Grocery/Supermarket 65 Commercial Building 45 Bar/Night Club 39 Medical Facility or Office 17 Shopping Mall 12 Rental Storage Facility 9 ATM Separate from Bank 9 Auto Dealership 5 Commercial Air/Bus/Train Terminal 4 Residenal Liquor Store 2 Other/Unknow n Government/Public Buildings

ƒƒ Welfare Fraud - The use of deceitful statements, Deceptive practices for financial gain offenses totaled practices, or devices to unlawfully obtain welfare 891 in 2016 or 69% of all false pretense category benefits. offenses. Theft of labor, services or use of property offenses totaled 23% of the false pretenses category. ƒƒ Wire Fraud - The use of an electric or electronic communications facility to intentionally transmit Impersonation or theft of identity is the second a false and/or deceptive message in furtherance of highest category of offense for fraud. Theft of a fraudulent activity. identity accounts for 29% of all fraud offenses. The number of frauds have increased 52% from the 10-year low of 1,599 offenses in 2011 to the 10-year Fraud offenses take place primarily in public high of 2,437 in 2015. The decrease in offenses for places. Commercial locations account for 43% 2016 resulted in a less than 1% decrease but resulted of the locations and are broken out in the graph in a 3% decrease for the fraud offense rate. above. Retail stores such as department, specialty, convenience, and grocery stores are the hardest Fraud offenses are broken down into six categories hit accounting for 22% of all locations for fraud with 26 MTIBRS subcategories. The graph on the offenses, and 50% of commercial locations. 38% left side shows five of the six categories. The sixth, of fraud offenses are committed in a residence and Hacking/Computer Invasion, was added in 2017. 19 7% in a government/public building. Highway/ welfare fraud offenses were reported and seven wire road/alley/streets totaled 70 offenses, parking lot or fraud offenses were committed. The largest category garage totaled 33 offenses and the government/public of fraud is false pretenses/swindle/confidence games. building subcategory with the same name totaled 29 This category contains 17 of the 26 MTIBRS fraud offenses. Together these three subcategories cover offense subcategory codes, six of which had no 73% of the government/public building location reported offenses for 2016. The remaining categories category. are detailed in the chart.

See more about your community at: crimein.MT.gov Page 74 More about fraud offenses

70% (1,734) of fraud Top 10 Offenses Associated With Fraud Incidents offenses are committed independent of other Larceny/The 509 offenses. Of the 30% 2nd Fraud Offense 182 (737) that are associated Forgery/Counterfeit 152 with other offenses, Other Crimes Against Society 134 they are linked to 16 Drug Violaons 81 crimes against persons, 247 crimes against Vandalism 38 society (primarily drug Burglary 27 offenses), and 759 Motor Vehicle The 16 property crimes. Of the Disorderly conduct 8 property crimes, 509 (67%) were larceny/ Assault - Simple 7 theft offenses.

Top 10 Property Loss Categories by Value Lost For the 1,734 incidents that had single fraud Money $2,214,577 offenses, the total Other $331,814 losses to Montana were $2,146,830. With Automobiles $237,298 Negoable Instruments $212,588 Recreaonal/Sports Equip. $59,858 $3,441,556 in Property Loss Computer Hard/So ware $49,478 Associated with Fraud Offenses Trucks $47,850 Portable Elec. Communicaons $47,231 associated offenses, Jewelry/Precious Metals/Gems $41,605 total losses jump to over Merchandise $36,059 $3.4 million.

The largest category of Top 10 Property Loss Categories by Number of Reported Losses loss for fraud and fraud associated offenses is money. This category Money 887 alone accounts for Other 405 64% of fraud related Purses/Handbags/Wallets 201 property loss. Money is Negoable Instruments 159 also the most reported Merchandise 127 loss category by number Consumable Goods 126 of reports. Portable Electronic Communicaons 47 Noon to 9 p.m. is the Clothes/Furs 44 time range for 59% of Fuel 42 fraud crimes. Vehicle Parts/Accessories 41

Page 75 Data. A building block for safer communities. Offenses Per Time Range Offenses Per Day of Week

6% 11% 8% 17% 10% 2% 12:00a - 2:59a Monday 10% 3:00a - 5:59a Tuesday 12% 6:00a - 8:59a Wednesday 9:00a - 11:59a Thursday 18% 12:00p - 2:59p 16% Friday 17% 3:00p - 5:59p Saturday 6:00p - 8:59p 18% Sunday 9:00p - 11:59p 16% 23% 16%

Crimes by Month

224 226 225 237 213 218 204 206 186 178 191 163

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

The weekday data may also reflect business hours with Saturday and Sunday combined totaling one or two percentage points higher than any one of the other five weekdays. The middle of the week appears to report slightly fewer offenses than Monday and Friday.

June, July and December report the lowest number of Vicms and Offenders by Age and Gender offenses unlike burglary, motor 500 vehicle theft and larceny which 450 Male Offenders Male Vicms see increases in the summer Female Offenders Female Vicms 400 months. 350

Females represent 54% of 300 individual victims and males make up the remaining 46%. 250 Percentage divisions across the 200 age groups vary only slightly. While 81% of all offenders are 150 between 18 and 44 years old, 100 victims total 45% for the same 50 age range. 53% of victims are over the age of 44. 0 <10 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 >

See more about your community at: crimein.MT.gov Page 76 Other Non-Index Group A Crime

The tables below detail summary information about other non-index offenses reported to MBCC for the last five years. Decreases are highlighted in red.

Arson Offense Description 2012 2013 2014 2015 2016 Arson 109 88 77 80 102 Arson, negligent 75 44 46 60 56 Arson, throwing lighted materials 3 1 0 1 0 Offense Totals 187 133 123 141 158 % Of Change From Previous Year 24% -29% -8% 15% 12%

Counterfeiting and Forgery Offense Description 2012 2013 2014 2015 2016 Forgery and Counterfeiting 525 544 755 831 1,121 Counterfeiting or defacing gambling documents 3 2 1 7 8 Offense Totals 528 546 756 838 1,129 % Of Change From Previous Year 13% 3% 38% 11% 35%

Criminal Mischief and Vandalism Offense Description 2012 2013 2014 2015 2016 Criminal mischief/vandalism 11,012 9,109 8,680 8,885 9,208 Damage to rental property 38 25 30 25 20 Desecration of capitol 6 3 7 1 3 Destruction of a communication device 244 211 247 264 232 Intentional vandalism to railroad property 5 2 1 5 2 Offense Totals 11,305 9,350 8,965 9,180 9,465 % Of Change From Previous Year 7% -17% -4% 2% 3%

Kidnapping Offense Description 2012 2013 2014 2015 2016 Custodial interference 65 52 50 43 55 Kidnapping 12 13 18 22 24 Kidnapping, aggravated 9 14 12 12 8 Unlawful restraint 118 86 109 122 103 Offense Totals 204 165 189 199 190 % Of Change From Previous Year 15% -19% 15% 5% -5%

Page 77 Data. A building block for safer communities. Stolen Property Offense Description 2012 2013 2014 2015 2016 Illegal handling of stolen property 60 83 103 126 121 Receiving stolen property 0 1 1 3 1 Theft by disposal of stolen property 6 11 5 5 31 Offense Totals 66 95 109 134 153 % Of Change From Previous Year 340% 44% 15% 23% 14%

Weapon Law Violations Offense Description 2012 2013 2014 2015 2016 Carrying a concealed weapon when prohibited 12 7 14 20 15 Carrying a concealed weapon while intoxicated 24 18 32 24 29 Carrying concealed weapon 105 130 111 131 161 Discharge within city limits - firing firearms 47 31 35 46 30 Guns in schools 7 12 8 6 9 Possess illegally, sawed-off firearm 5 11 3 8 3 Possess illegally, switchblade knife 21 16 20 10 16 Possession of explosives 7 3 3 2 5 Possession of a silencer 1 1 2 Possession of deadly weapon by a prisoner 5 8 5 5 6 Possession of firearm by convicted person 20 15 25 34 32 Reckless or malicious use of explosives 3 1 1 1 1 Offense Totals 257 253 257 287 309 % Of Change From Previous Year 27% -2% 2% 12% 8%

Other Group A offenses Offense Description 2012 2013 2014 2015 2016 Bribery in official and political matters 1 3 2 0 1 Display or provide obscene material to minors 0 1 0 0 0 Embezzlement 127 113 124 154 102 Extortion / blackmail 2 1 1 4 4 Obscenity 14 19 20 17 11 Prostitution 21 13 17 17 26 Offense Totals 165 150 164 192 144 % Of Change From Previous Year 23% -9% 9% 17% -25%

See more about your community at: crimein.MT.gov Page 78 There are 10 Group B offense categories. They encompass all of the crimes not considered Group A offenses. Group B incidents that have only Group B offenses must include an arrest in order to be collected by the MTIBRS. It is not mandatory to have an arrest for incidents that include both Group A and Group B. The Group B offense categories listed below are in alphabetical order. ff Bad Checks ff Family Offenses, Nonviolent ff Curfew/Loitering/Vagrancy Violations ff Liquor Law Violations ff Disorderly Conduct ff Peeping Tom ff Driving Under the Influence (DUI) ff Trespass of Real Property ff Drunkenness (Montana does not collect ff All Other Offenses offense information on drunkenness).

Driving Under the Influence (DUI) Montana is reporting a double DUI Offenses and Rates digit increase from 2015 to 2016 5,881 5,878 5,940 for DUI offenses (13%) and 5,588 5,719 5,283 5,229 5,373 5,483 4,870 offense rate (10%). The offense rate has dropped six of the ten years ending the 10-year period at -8% (5,483) from the 10- year high of 5,940 in 2009. On 633 621 614 573 533 572 535 544 483 529 average, Montana Highway Patrol collects a comparable number of DUI offenses. The data is being

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 analyzed to assure there is no DUI OffensesDUI Offense Rates (per 100,000 populaon) duplication. The additional data will be reported in the 2017 Crime in Montana Report.

Driving under the influence % of Rate Change From Previous Year offenses are divided into six subcategories. Those categories 10% are identified in the table to the 7% right. 54% of offenses fall under 5% 2% section 61-8-401 of Montana -1% -2% Code Annotated, intoxication by -7% -7% -6% drugs or alcohol. MTIBRS data does not collect how many DUIs -11% an individual has obtained, which can influence the category of 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 DUI aggravated. Multiple DUIs may increase the severity of the

Page 79 Data. A building block for safer communities. DUI charge and sentence as defined in DUI Offenses Montana Code Annotated section 61-8- 465. 19% of DUI offenses are categorized 1,087 as DUI aggravated. In 16% of offenses, 19% 934 16% the offenders refused to be tested for 80 blood alcohol content. 9% of DUI 1% offenses are for drivers who test 0.08 or 608 41 1% greater on the breathalyser. 11% 487 9% The DUI for individuals under the age of 21 and criminal child endangerment are 3,128 both in the 1% range. 54%

DUI, intoxicaon by drugs or alcohol Of the 5,483 DUI offenses committed, DUI, aggravated 3,579 (or 65%) did not include other DUI undetermined level - refused to test offenses. Of the 1,903 offenses that did DUI, level of intoxicaon liquor 0.08 or greate r include other offenses, 1,360 (or 79%) DUI Under 21 were crimes against society. Those Criminal Child Endangerment associated offenses were primarily drug related, liquor law violations, second DUI offenses, violations of court orders and trespassing.

17% of associated offenses for 2016 were Other Crimes Associated With crimes against persons. 274 of the 286 2016 DUI Crimes offenses were aggravated and simple assaults, eight offenses were intimidation 74 and two were for kidnapping. 4% 286 17% $162,454 in Property Loss Associated with DUI Offenses

The remaining associated offenses were 74 crimes against property. Like drug and assault offenses, DUIs have no property 1,360 loss associated with the offenses itself. 79% For the 74 property offenses associated with DUI offenses, $162,454 was reported as property loss either by vandalism or Crimes Against Society theft. $139,200 of the property loss is Crimes Against People associated with theft or destruction of an Crimes Against Property automobile.

See more about your community at: crimein.MT.gov Page 80 The who, when and where of DUIs

Offender Race and Ethnicity Offender Age and Gender

1,750 169 1,500 Males 612 Females 12% 1,250 263 4% 1,000 4,437 84% 66 750 16 12

500

White 250 American Indian or Alaskan Nav e Hispanic or Lano Black or African American 0 Note: Asian Demographic data 65 > totals will not match Nave Hawaiian or Other Pacific Islander 10-17 18-24 25-34 35-44 45-54 55-64 due to unknown data.

12:00a - 2:59a Monday 3:00a - 5:59a Tuesday 6:00a - 8:59a Wednesday 9:00a - 11:59a Thursday 12:00p - 2:59p Friday 3:00p - 5:59p Saturday 6:00p - 8:59p Sunday 9:00p - 11:59p

Offenses by Month

515 479 479 474 483 454 465 453 457 425 383 416

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

Page 81 Data. A building block for safer communities. 2016 DUI offenders are 72% male and 56% of of DUI offenses occur between the hours of 9 p.m. offenders are between the ages of 18 and 34-years and 3 a.m. As expected, weekend use is higher old. This age group makes up 60% of aggravated than weekday use, particularly Monday through DUI offenders and females are 30% of this Wednesday. The month with the lowest DUI offenses subcategory. is February, and the month with the highest is April. The variance between high and low months is low in White DUI offenders total 84%, which is 7% higher comparison to liquor law violations but are similar to than the state race total for white offenders of 77%. state percentages by month. Native Americans or Alaskan Natives (12%) are 5% less than the state total (17%) for the same race. All Location of DUI offenses is not surprising. 93% of other races and ethnicities are on par with the state DUI offenses occur on Montana highway/road/alley/ percentages. streets. Parking lot/drop lot/garage total 4% of DUI offenses with the remaining 3% divided between the The time range percentages for DUI offenses are locations shown below. the most varied for any offense in this report. 69%

Government/Public Building Highway/Road/Alley/Street 4,835 Parking Lot/Drop Lot/Garage 221 Government/Public Building 23 Park/Playground 17 Jail/Prison/Penitenary/Correcon… 7 Gambling Facility/Casino/Race Track 7 School-College/University 4 School-Elementary/Secondary 3 Church/Synagogue/Temple 3 Camp/Campground 3 Arena/Stadium/FairGrounds/Colise… 2 Community Center 1 Rest Area 1

Commercial Rental Storage Facility 1 Auto Dealership New/Used 1 Government/Public Buildings Air/Bus/Train Terminal 1 Commercial Commercial/Office Building 3 Residenal Bank/Savings and Loan 4 Other/Unknown Field/Woods/Waterways Specialty Store 6 Drug Store/Doctor's Office/Hospital 7 Department/Discount Store 7 Hotel/Motel 10 Grocery/Supermarket 16 Bar/Night Club 30 Restaurant/Cafeteria 39 Service/Gas Staon 41 Convenience Store 54

See more about your community at: crimein.MT.gov Page 82 Liquor Law Violations

Liquor law violations have seen Liquor Law Violaon Offenses and Rates decreases in number of offenses and 5,283 4,817 the offense rate for eight out of 10 4,421 3,970 years. Six of those eight declines 3,752 3,712 have been double digit decreases up 2,604 to -30% in 2013 for the number of 2,155 1,856 2,009 offenses and -28% for the offense rate. The offense rate started the 568 509 457 407 379 372 267 218 184 194 10-year period with a 26% increase from 2006 to 2007. 2013 and 2016 were the only increases in the 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 10-year period. 2016 reported a Liquor Law OffensesLiquor Law Offense Rates (per 100,000 populaon) decreased rate of -66% of 10-year high of 568 offenses per 100,000 population. % of Rate Change From Previous Year The majority (1,150 or 57%) of liquor law violations are the 26% purchase or possession of an intoxicant by a minor, commonly -2% 5% known as minor in possession -7% (MIP). Drinking in public and -10% -10% -11% -18% -16% open container offenses together total 34% of 2016 liquor law -28% offenses. The other five offenses

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 account for 9% of the total violations.

Liquor Law Violaon Offenses While 62% of liquor law offenses are 418 committed in the location category 21% government/public building, 72% 258 45 of those offenses in this location 13% 2% category fall under the subcategory 48 2% 183 13 9% 6

71 1,150 4% Purchase or possess intoxicant by a minor 57% Drinking in public Open container in motor vehicle on highway Liquor employee sell or provide alcohol to person < 21 Unlawful transfer, or possession of alcohol Sells or gives an alcoholic beverage to minors <21 False idenficaon by a minor to get alcohol Other offenses

Page 83 Data. A building block for safer communities. Government/Public Building 887 115 75 56 44 28 13 9 4 3 3 1 1 1

Commercial 1 2 5 6 7 Government/Public Buildings 7 Commercial 8 Residenal 14 Field/Woods/Waterways 17 Other/Unknown 18 36 40 89 167

Note: Demographic data totals will not match due to unknown data. of highway/road/alley/street. Offender Age and Gender Bar/night club is the largest offense subcategory (40%) for the category of commercial 926 Females Males location.

Montana reported 3,009 offenders for liquor law violations in 2016. Of those, 459 443 45% (1,369) were between the ages of 18 and 24. Drinking 319 in public and open container 190 172 offenses represent 82% of 134 135 offenses for offenders over the 71 52 62 20 9 16 age of 24. 10 -17 18 -24 25 -34 35 -44 45 -54 55 -64 65+

See more about your community at: crimein.MT.gov Page 84 Offender Race and Ethnicity Liquor law violations report a 3% higher rate for American Indian or Alaskan Native persons than the offender rate for this race for the whole state. Individuals who are Hispanic 610 61 20% or Latino were reported at 2% under the offender rate for the state for all offenses.

116 49% of liquor law offenses occur between 9 4% 37 p.m. and 3 a.m. The time ranges between 2,291 noon and 6 p.m. summarize 24% of liquor law 76% offenses. As one might expect, Friday through 12 the weekend is when 57% of these violations 6 occur. June, July and September lead the months for violations. December, and January White are lower than average and August seems low American Indian or Alaskan Nav e in comparison to the months on either side. Hispanic or Lano These offenses do not parallel DUI offenses Black or African American Note: Demographic data for time and month, but they do have similar Nave Hawaiian or Other Pacific Islander totals will not match Asian due to unknown data. percentages for day of the week.

Offenses Per Time Range Offenses Per Day of Week

15% 11% 21% 12:00a - 2:59a 28% Monday 3:00a - 5:59a Tuesday 11% 6:00a - 8:59a Wednesday 9:00a - 11:59a Thursday 12:00p - 2:59p 10% Friday 23% 3:00p - 5:59p 11% Saturday 6% 6:00p - 8:59p Sunday 12% 4% 9:00p - 11:59p 7% 10% 12% 19%

Crimes by Month

221 215 205 177 163 169 165 159 154 149 120 112

JANMFEBMAR APRJAY JUNSUL AUGNEP OCT OV DEC

Page 85 Data. A building block for safer communities. Non-Violent Family Offenses

Non-violent family offenses are Non-Violent Family Offenses and Rates defined as unlawful, nonviolent 500 441 414 398 399 acts by a family member (or 384 381 382 364 357 341 legal guardian) that threaten the 400 physical, mental, or economic 300 well-being or morals of another 200 family member and that are not classifiable as other offenses, 100 43 40 39 39 40 44 39 35 35 33 such as assault, incest, and 0 statutory rape. 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 50% (170) of these offenses are Non-Violent Family Offenses grouped into a subcategory Non-Violent Family Offense Rates (per 100,000 populaon) of endangering the welfare of children. Truancy is 24% of family offenses reporting 81 % of Rate Change From Previous Year offenses for 2016. Unlawful transactions with children (32 10% offenses or 9%); criminal child 10% endangerment (22 offenses or 5% 3% 6%); and visitation interference 0% 0% 0% -3% (16 offenses or 5%) make up -6% -5% -7% 20% of the reported offenses. -10% -10% -11% -16% After a gradual decline in 2007, -15% 2010 started the trend upward to the high of 441 offenses in -20% 2012. Six of the last 10 years 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 show decreases of up to -16%. Of the remaining four years, two Offender Age and Gender years did not see any increase. 160 659 offenders were reported Females Males for the 341 non-violent family 140 144 offenses. The largest group of 120 offenders is 10 to 17-year olds 110 100 who represent 39% (254) of 98 these offenders. 18 to 24-year 80 olds total 25% (162) for 2016. 60 64 57 50 40 36 29 20 13 16 10 12 6 0 3 1 < 10 10 -17 18 -24 25 -34 35 -44 45 -54 55 -64 65 +

See more about your community at: crimein.MT.gov Page 86 All Other Group B Offenses

Bad Checks Offense Description 2012 2013 2014 2015 2016 Total Bad Checks 70 79 84 103 80 % Of Change From Previous Year 11% 13% 6% 23% -22%

Curfew/Loitering/Vagrancy Violations Offense Description 2012 2013 2014 2015 2016 Juvenile curfew violations 136 113 101 92 98 Loitering juvenile 0 1 0 0 1 Riot 0 0 2 1 0 Ungovernable juvenile 324 328 286 256 192 Total Curfew/Loitering Vagrancy Violations 460 442 389 350 292 % Of Change From Previous Year -12% -4% -12% -10% -17%

Disorderly Conduct Offense Description 2012 2013 2014 2015 2016 Criminal syndicalism 2 0 0 0 1 Disorderly conduct 3,967 3,579 3,545 3,280 3,410 Failure of disorderly person to disperse 3 7 3 2 8 Indecent exposure 56 33 58 47 41 Obstructing access to health care facility 0 0 1 0 Public nuisance 36 32 35 36 53 Total Disorderly Conduct 4,064 3,651 3,641 3,366 3,513 % Of Change From Previous Year 4% -10% 0% -8% 4%

Peeping Tom Offense Description 2012 2013 2014 2015 2016 Total Peeping Tom 14 2 6 13 20 % Of Change From Previous Year 56% -86% 200% 117% 54%

All Other Group B Offenses Offense Description 2012 2013 2014 2015 2016 Abuse of teachers 1 1 1 2 0 Accountability 4 22 12 8 19 Aggravated animal cruelty 0 3 0 2 3 Attempt 2 6 2 3 8 Bail jumping 6 5 10 4 2 Bigamy 1 0 1 0 0 Conspiracy 6 11 10 8 8 Contributing to sexual delinquency of minor 3 0 2 2 1 Creating a hazard 2 0 1 2 0 Criminal contempt 2,142 1,904 1,716 1,785 1,720 Criminal defamation 5 1 8 5 3 Cruelty to animals 40 33 34 41 33

Page 87 Data. A building block for safer communities. Offense Description 2012 2013 2014 2015 2016 Escape 25 31 53 21 28 Failing to register as a sex or violent offender 78 83 68 68 74 Failure to aid a peace officer 0 0 0 0 1 False alarm to agencies of public safety 6 6 7 4 7 False claims to public agencies 0 0 1 1 0 False reporting of a fire or other catastrophe 1 1 0 1 3 False reporting of an impending explosion 3 0 1 3 3 False reports to law enforcement authorities 87 86 95 73 78 False swearing 2 0 3 0 3 Garbage/littering 51 49 60 40 38 Harming a police dog 1 0 0 0 0 Home arrest violation 10 6 5 7 2 Impersonating a public servant 5 7 9 10 11 Interfere with court order for minor 11 6 4 1 1 Money laundering 0 1 3 0 0 Obscene/harassing phone call 213 186 183 174 146 Obstructing a peace officer or other public servant 1,839 1,684 1,744 1,823 1,908 Obstructing justice 56 58 68 79 66 Official misconduct 0 0 1 0 0 Parole violation 91 102 133 157 137 Perjury 0 1 1 1 0 Possession of burglary tools 28 29 28 32 33 Probation violation 1,095 1,156 997 922 771 Registry card to be carried & exhibited on demand 0 1 1 0 0 Revocation of suspended/deferred sentence 257 232 241 242 200 Sodomy, deviate sexual conduct 1 0 0 1 1 Solicitation 2 4 2 2 0 Tampering with or fabricating physical evidence 57 66 71 68 74 Tampering with public records or information 2 0 2 1 0 Tampering with witnesses and informants 24 23 28 32 18 Transfer illegal articles or communications 10 10 5 12 16 Under age tobacco possession or consumption 328 277 315 255 282 Unsworn falsification to authorities 71 81 91 107 95 Use of property subject to criminal forfeiture 8 19 16 30 33 Violation of conditions of release 117 143 165 153 167 Violation of no-contact order 97 109 137 156 205 Violation of protective order 334 288 381 404 397 Total All Other Group B Offenses 7,122 6,731 6,716 6,742 6,595 % Of Change From Previous Year 23% -5% 0% 0% -2%

Grand Total of All Group B Offenses 25,047 21,873 21,461 20,968 21,865 % Of Change From Previous Year 9% -13% -2% -2% 4%

See more about your community at: crimein.MT.gov Page 88 What about juvenile crimes?

This section provides an overview of crime committed by juveniles that were arrested in 2016. The data source for this section was MTIBRS. It is not wholly reflective of the data released by the Ofce of the Supreme Court, Youth Court Administrator’s Ofce because of the differences in the reporting systems.

The data in this section is an overview of offenses committed by youth ages 10 to 17 who were arrested by law enforcement. Juvenile arrestees can be referred to other authorities, such as youth courts/probation, or youth may be handled within the arresting law enforcement agencies' authority; for example, the youth may be released with a warning. The tables below reflect only those juveniles that were arrested, because typically when a person was arrested, the data collected is the most comprehensive.

Juvenile Arrestees Finally, the MTIBRS does not 8,826 have the capability to identify 8,223 7,889 7,210 individual arrestees. The MTIBRS 6,678 6,845 does not collect identifiable

5,083 4,824 information such as name or 4,191 4,211 date of birth about arrestees. As a result, a juvenile may be duplicated in the counts. This 949 869 816 739 674 685 520 488 415 406 overview was not a reflection of the volume of individual juveniles arrested by non-Tribal local

2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 law enforcement; however, it Juvenile Arrestees Juvenile Arrestee Rates (per 100,000 populaon) provides an overview of offenses committed by juvenile arrestees.

At the time of this publication, only the 2015 U.S. Census counts % of Rate Change From Previous Year were available. Montana’s total estimated youth population under 14% the age of 18 is 226,420 for 2015. Census data shows the largest 2% -2% youth minority group is American -6% -6% Indians at 11.86% of the juvenile -8% -9% -9% population. Hispanic or Latino -15% youth account for 5.88%, Black or African American youth 1.73% -24% and Asian 1.08%. 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016

Page 89 Data. A building block for safer communities. Juvenile arrestees increased in number by 20 $3.4 Million + Juvenile Offense arrestees in 2016, however the rate for juvenile arrestees decreased by 2% from 2015 to 2016. Property Loss Property value loss $3,414,806 The tables and charts on this page detail the Number of Incidents 4,722 offenses committed by those under the age of 18. Number of Offenses 6,398 Offenses against society covers 52% of juvenile crimes, 49% of which are drug or alcohol related. Value of Items: Burned $149,068 In addition to the offenses themselves, offenses Counterfeited/Forged $11,615 associated with juvenile offenses reported Destroyed/Damaged $723,053 over $3.4 million in property loss. 74% of the Stolen $2,531,070 property loss is theft or stolen property. 25% can be attributed to vandalism and destruction of Average loss per item reported $1,158 property. Maximum reported item loss $100,000

Crimes Against Society 1,077 508 505 503 477 108 87 25 3

Crimes Against Property 964 547 131 129 32 19 Arson 19 13 Stolen property 12 3

Crimes Against People 725 203 137 74 45 26 18 6 2

See more about your community at: crimein.MT.gov Page 90 What else do we know about juvenile crime?

Juvenile Offender Race and Ethnicity Juvenile offenders in Montana are 66% male, 34% female. From ages four to 11, males are between 67% and 78% of 1,400 177 offenders. The overall percentage does not 19% 2% reflect these percentages because of the 528 38 small number of offenders below age 13. 7% 23 5,448 290 74% of offenders are white. Based on the 74% 4% census data, Native American or Alaskan White Natives are 11.98% of juveniles, and are 19% American Indian or Alaskan Nav e of youth offenders. 7% of juvenile offenders Hispanic or Lano are divided between the other four race and Black or African American Nave Hawaiian or Other Pacific Islande r ethnicity categories. Asian 49% of victims are under 18, and Vicms and Juvenile Offenders by Age and Gender 55% of victims are female. Of the 4,142 juvenile offenders, 432 were 1,400 unknown to the offender. The rest 1,200 of the victims were known to the Male Offenders Male Vicms 1,000 offender. 41% of those known to the Female Offenders Female Vicms offender were acquaintances. 26% 800 were family; parent/stepparent (222), 600 sibling/step sibling (138), grandparent

400 (19), child/stepchild (7) and other family member (54) were reported. 200 The intimate relationship type shows - 62 reports, 60 of which are boyfriend/ <10 10 - 17 18 - 24 25 - 34 35 - 44 45 - 54 55 - 64 65 > girlfriend, and two were common-law spouses. Known Offender Age and Gender

Females Males 881 885 837

613

Note: 450 457 Demographic data 421 totals will not match 390 due to unknown data. 323 240 201 114 104 117 100 59 31 33 AGE <10AGE 10 AGE 11 AGE 12 AGE 13 AGE 14 AGE 15 AGE 16 AGE 17

Page 91 Data. A building block for safer communities. Government or public buildings are the locations for Vicm to Offender Relaonship 47% of juvenile offenses. Elementary and secondary schools are the number one subcategory with 1,264 45 offenses. Highways/roads/alleys/streets is the second 62 111 4% 3% highest with 1,077 offenses. Together, these make up 7% 75% of the government or public building location category. 681 321 41% 2,146 of juvenile offenses were committed in a 19% residence, meaning a home, apartment or other dwelling. Acquaintanc e 1,874 offenses were property crimes. Of those, 60% Family were theft related. Given these offenses, the 1,072 Unknow n 434 commercial locations shown below make sense. Stranger 26% Inmate Vicm was Offender Government/Public Buildings School-k-12 1,264 Highway/Road/Alley/Street 1,077 Park/Playground 241 Parking Lot/Drop Lot/Garage 168 School-College/University 126 Gov./Public Building 97 Correcons Facility 30 Church/Synagogue/Temple 29 Arena/Stadium/FairGround 18 Shelter-Mission/Homeless 17 Camp/Campground 17 Gambling Facility 6 Rest Area 5 Community Center 4 Amusement Park 4 Daycare Facility 1 Commercial Bank/Savings and Loan 2 Liquor Store 5 Auto Dealership 9 Air/Bus/Train Terminal 9 Rental Storage Facility 19 Government/Public Buildings Bar/Night Club 19 Residenal Shopping Mall 36 Commercial Service/Gas Staon 41 Other/Unknown Restaurant/Cafeteri a 47 Field/Woods/Waterways Commercial Building 48 Medical Store/Office 56 Hotel/Mote l 61 Specialty Store 141 Convenience Stor e 148 Grocery/Supermarke t 185 Department Store 246

See more about your community at: crimein.MT.gov Page 92 The following Law Enforcement Agencies reported twelve months of data electronically during the 2016 calendar year to the Montana Incident-Based Reporting System (MTIBRS). Out of 104 voluntary reporting jurisdictions known to the FBI, only two Police Departments (PD) and two Sheriff's Ofces (SO) did not report to MTIBRS in 2016: Ennis, and Fromberg PDs; Chouteau County and Petroleum County SOs. Darby and Fairview PDs were active during 2016, however, are not known to the FBI as they have never reported crime data. Their city population numbers are included with their County Sheriff's population data. The population data is detailed on page 7 of this report. Active Sheriff’s Offices in 2016 1. Beaverhead 15. Gallatin 29. Meagher 43. Sanders 2. Big Horn 16. Garfield 30. Mineral 44. Sheridan 3. Blaine 17. Glacier 31. Missoula 45. Silver Bow 4. Broadwater 18. Golden Valley 32. Musselshell 46. Stillwater 5. Carbon 19. Granite 33. Park 47. Sweet Grass 6. Carter 20. Hill 34. Phillips 48. Teton 7. Cascade 21. Jefferson 35. Pondera 49. Toole 8. Custer 22. Judith Basin 36. Powder River 50. Treasure 9. Daniels 23. Lake 37. Powell 51. Valley 10. Dawson 24. Lewis and Clark 38. Prairie 52. Wheatland 11. Deer Lodge 25. Liberty 39. Ravalli 53. Wibaux 12. Fallon 26. Lincoln 40. Richland 54. Yellowstone 13. Fergus 27. McCone 41. Roosevelt 14. Flathead 28. Madison 42. Rosebud Active Police Departments in 2016 1. Baker 13. Deer Lodge 25. Kalispell 37. Ronan 2. Belgrade 14. Dillon 26. Laurel 38. Sidney 3. Billings 15. East Helena 27. Lewistown 39. St. Ignatius 4. Boulder 16. Eureka 28. Libby 40. Stevensville 5. Bozeman 17. Fort Benton 29. Livingston 41. Thompson Falls 6. Bridger 18. Glasgow 30. Manhattan 42. Troy 7. Chinook 19. Glendive 31. Miles City 43. University of MT 8. Colstrip 20. Great Falls 32. Missoula 44. West Yellowstone 9. Columbia Falls 21. Hamilton 33. MT State University 45. Whitefish 10. Columbus 22. Havre 34. Plains 46. Wolf Point 11. Conrad 23. Helena 35. Polson 12. Cut Bank 24. Hot Springs 36. Red Lodge

These former PDs are no longer active. Data for these jurisdictions is report through their county SOs. 1. Anaconda 7. Ekalaka 13. Pinesdale 19. Three Forks 2. Belt 8. Fort Peck 14. Plentywood 20. Valier 3. Brockton 9. Hardin 15. Poplar 21. Whitehall 4. Butte 10. Harlem 16. Roundup 22. Wibaux 5. Choteau 11. Joliet 17. Scobey 6. Culbertson 12. Malta 18. Shelby

Page 93 Data. A building block for safer communities. Agg. Total Violent Vehicle Larceny Total Property County Assault Rape Robbery Homicide Crime Rates Burglary Theft Theft Offense Rates Beaverhead 5 0 0 0 5 38 8 3 49 Big Horn 67 3 0 2 72 339 16 68 423 Blaine 10 1 0 0 11 9 1 1 11 Broadwater 28 0 0 0 28 32 11 5 48 Carbon 21 0 0 3 24 88 28 11 127 Carter 0 0 0 0 0 0 0 0 0 Cascade 145 23 17 4 189 2,833 383 256 3,472 Chouteau 1 1 0 0 2 15 4 1 20 Custer 21 3 2 0 26 180 21 15 216 Daniels 0 0 0 0 0 1 0 1 2 Dawson 27 1 0 0 28 107 53 16 176 Deer Lodge 32 1 1 1 35 225 81 34 340 Fallon 5 0 0 0 5 12 3 4 19 Fergus 61 10 1 0 72 110 24 4 138 Flathead 235 41 15 2 293 2,493 370 252 3,115 Gallatin 162 72 9 6 249 1,817 219 129 2,165 Garfield 1 0 0 0 1 7 3 2 12 Glacier 36 2 2 0 40 98 14 14 126 Golden Valley 2 0 0 0 2 2 3 1 6 Granite 4 1 0 0 5 43 11 5 59 Hill 73 16 1 0 90 480 81 41 602 Jefferson 41 0 0 0 41 111 21 12 144 Judith Basin 2 0 0 0 2 7 3 2 12 Lake 110 10 9 2 131 546 159 68 773 Lewis and Clark 216 64 23 4 307 1,353 253 141 1,747 Liberty 9 0 0 1 10 0 0 1 1 Lincoln 36 2 0 1 39 249 40 18 307 Madison 8 0 0 0 8 35 12 2 49 McCone 2 0 0 0 2 6 2 4 12 Meagher 2 0 0 0 2 11 1 2 14 Mineral 4 0 0 0 4 0 0 0 0 Missoula 331 66 64 0 461 3,425 515 236 4,176 Musselshell 28 1 1 1 31 66 14 10 90 Park 22 4 1 0 27 290 29 22 341 Petroleum 0 0 0 0 0 0 0 0 0 Phillips 10 1 0 0 11 32 6 3 41 Pondera 5 2 1 0 8 38 0 5 43 Powder River 0 0 0 0 0 8 0 1 9 Powell 23 3 0 0 26 118 18 11 147 Prairie 3 0 0 0 3 7 1 5 13 Ravalli 82 9 2 0 93 418 67 15 500 Richland 38 4 0 0 42 184 45 28 257 Roosevelt 68 2 2 2 74 82 21 11 114 Rosebud 6 0 0 0 6 30 7 6 43 Sanders 18 5 1 0 24 96 20 8 124 Sheridan 6 0 0 0 6 50 5 0 55 Silver Bow 85 8 3 0 96 1,414 212 163 1,789 Stillwater 17 3 0 0 20 44 18 8 70 Sweet Grass 5 0 0 3 8 10 0 2 12 Teton 16 1 1 0 18 27 18 5 50 Toole 19 2 0 0 21 61 8 4 73 Treasure 0 0 0 0 0 0 0 1 1 Valley 12 2 0 1 15 21 13 1 35 Wheatland 9 1 0 0 10 5 1 1 7 Wibaux 0 0 0 0 0 2 0 0 2 Yellowstone 444 59 93 1 597 4,509 854 935 6,298

See more about your community at: crimein.MT.gov Page 94 County Rates & Ranks

Index Violent Index Property Population Per Capita Per Capita Employment Employment Offense Type Crime Rate Offense Rate Population Rank Income Income Rank Rate Rank Beaverhead 0.54 5.26 9,300 25 $41,083 42 96.67% 11 Big Horn 5.41 31.68 13,242 14 $41,008 43 92.77% 52 Blaine 1.67 1.67 6,577 30 $34,667 55 95.38% 38 Broadwater 4.91 8.41 5,689 34 $51,360 10 95.10% 42 Carbon 2.29 12.11 10,408 21 $49,389 16 96.07% 27 Carter 0.00 0.00 1,180 51 $46,398 23 97.14% 6 Cascade 2.29 42.00 82,278 5 $45,597 26 96.03% 28 Chouteau 0.35 3.64 5,767 33 $40,280 44 96.24% 21 Custer 2.13 17.66 12,135 15 $47,510 21 96.46% 16 Daniels 0.00 1.13 1,760 48 $43,918 31 97.36% 3 Dawson 2.86 18.01 9,625 22 $56,648 8 96.14% 25 Deer Lodge 3.84 36.98 9,139 26 $37,979 50 96.21% 23 Fallon 1.54 5.53 3,190 42 $59,928 4 96.37% 18 Fergus 6.31 12.10 11,427 19 $43,823 33 96.09% 26 Flathead 3.01 31.84 96,165 4 $48,063 19 94.41% 50 Gallatin 2.41 20.95 100,739 3 $57,358 5 97.21% 4 Garfield 0.74 8.94 1,314 50 $45,987 24 97.16% 5 Glacier 2.92 9.20 13,647 13 $31,666 56 91.37% 55 Golden Valley 2.45 7.34 827 54 $37,883 51 95.57% 35 Granite 1.53 17.39 3,240 41 $43,470 34 94.13% 51 Hill 5.40 36.17 16,572 11 $44,178 30 95.66% 34 Jefferson 3.50 12.30 11,645 17 $62,508 2 95.40% 37 Judith Basin 1.05 6.31 1,926 45 $45,472 27 96.61% 12 Lake 4.42 26.00 29,457 9 $39,383 47 95.27% 39 Lewis & Clark 4.58 25.98 66,418 6 $56,755 7 96.71% 10 Liberty 4.13 0.41 2,408 43 $40,052 45 96.90% 8 Lincoln 2.06 16.16 19,052 10 $37,281 52 91.01% 56 Madison 1.00 6.15 7,915 27 $49,872 13 96.22% 22 McCone 1.20 6.58 1,683 49 $44,387 29 97.99% 1 Meagher 1.10 7.69 1,830 46 $41,391 40 95.98% 30 Mineral 0.94 0.00 4,251 37 $39,584 46 92.39% 53 Missoula 4.00 36.20 114,181 2 $44,998 28 96.26% 20 Musselshell 6.75 19.60 4,582 36 $41,791 39 94.91% 46 Park 1.68 21.23 15,972 12 $45,642 25 95.71% 32 Petroleum 0.00 0.00 475 56 $42,919 35 95.24% 41 Phillips 2.65 9.87 4,169 38 $38,105 49 94.67% 47 Pondera 1.29 6.94 6,184 31 $41,168 41 95.82% 31 Powder River 0.00 5.05 1,773 47 $50,491 12 97.71% 2 Powell 3.82 21.59 6,840 29 $42,755 36 94.96% 44 Prairie 2.60 9.52 1,160 52 $42,187 38 96.60% 13 Ravalli 2.24 11.99 41,373 7 $48,468 17 95.24% 40 Richland 3.37 20.37 11,960 16 $68,196 1 95.01% 43 Roosevelt 6.32 9.74 11,476 18 $39,147 48 94.65% 48

Page 95 Data. A building block for safer communities. Index Violent Index Property Population Per Capita Per Capita Employment Employment Offense Type Crime Rate Offense Rate Population Rank Income Income Rank Rate Rank Rosebud 0.64 4.77 9,398 24 $51,732 9 94.50% 49 Sanders 2.12 11.03 11,336 20 $36,564 53 92.19% 54 Sheridan 1.60 14.64 3,687 39 $50,857 11 96.73% 9 Silver Bow 2.76 51.32 34,622 8 $42,658 37 95.70% 33 Stillwater 2.09 7.32 9,486 23 $60,052 3 96.01% 29 Sweet Grass 2.20 3.30 3,634 40 $48,361 18 96.91% 7 Teton 2.94 8.18 6,104 32 $47,598 20 96.34% 19 Toole 4.17 14.48 5,087 35 $43,879 32 96.51% 15 Treasure 0.00 1.44 697 55 $49,679 14 95.53% 36 Valley 1.94 4.53 7,659 28 $46,698 22 96.59% 14 Wheatland 4.76 3.33 2,110 44 $35,665 54 94.94% 45 Wibaux 0.00 1.73 1,130 53 $49,533 15 96.20% 24 Yellowstone 3.76 39.47 157,048 1 $57,326 6 96.41% 17

See more about your community at: crimein.MT.gov Page 96 County Income, Labor & Property Highs & Lows

10 Lowest Property Crime Rate Counes

Daniels Glacier Toole Hill Sheridan Liberty 0.41 Lincoln Liberty $ Blaine $ Daniels 1.13 $ $ Valley Flathead $ Phillips Roosevelt 1.44 Treasure Pondera $ Blaine 1.67 Teton Chouteau Richland Wibaux 1.73 McCone Sanders Lake $ $ Sweet Grass 3.3 $ $ $ 3.33 Lewis Wheatland $ Cascade Fergus Chouteau 3.64 and Judith Petroleum Gar eld Dawson Clark Valley 4.53 Missoula Basin $ 4.88 $ Prairie Wibaux Rosebud Rosebud Powell Meagher $ Musselshell 012345 Granite Wheatland Golden Broadwater Valley Fallon Jeerson $ Custer * Crime rates based on index property crime offenses per 1,000 population Deer Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass $ Stillwater Powder Carter Madison Park Big Horn 10 Highest Per Capa Income Counes $ River $ Beaverhead $ Carbon Richland $59,756 Petroleum $57,122 Treasure $57,013 McCone $54,654 Data Type Low High Number of Aggravated Assaults In 2016 Golden Valley $53,667 Index Property Crime Rate Data Type Between 200-375Low BetweenHigh 25-49 Carter $53,182 Between 100-199 Between 10-24 Less than 5 Per Capita Income Index Property Crime RateBetween 50-99  Between 5-9 Judith Basin $52,234 $ $ Sheridan $51,250 Unemployment Rate Per Capita Income $ $ Madison $46,825 Gallan $46,337 Employment Rate   $- $10,000 $20,000 $30,000 $40,000 $50,000 $60,000

As demonstrated by Lake and Big Horn counties, locations with the 10 Highest Employment Rate Counes lowest per capita income might expect the highest property crime rates. The McCone 98.0% state chart does not necessarily bear Powder River 97.7% this theory out. Daniels 97.4% Gallan 97.2% Each of these data elements takes Garfield 97.2% into account population. If the Carter 97.1% highest crime rates are not present Sweet Grass 96.9% in the counties with the highest Liberty 96.9% unemployment or lowest per capita 96.7% Sheridan incomes, other factors may be Lewis and Clark 96.7% considerations. 96.0% 96.5% 97.0% 97.5% 98.0%

Page 97 Data. A building block for safer communities. 10 Highest Property Crime Rate Counes

Daniels Glacier Toole Hill Sheridan Lincoln Liberty Silver Bow 51.32 $ Blaine $ $ $ Valley Cascade 42.07 Flathead $ Phillips Roosevelt 39.51 Pondera $ Yellowstone Deer Lodge 37.31 Teton Chouteau Richland McCone Missoula 36.22 Sanders Lake $ $ $ $ $ Hill 36.17 Lewis 32.06 $ Cascade Fergus Flathead and Judith Petroleum Gar eld Dawson Big Horn 31.83 Clark Missoula Basin $ Lake 26.37 $ Prairie Wibaux 26.21 Rosebud Lewis and Clark Powell Meagher $ Musselshell Granite Wheatland Golden 0012003400560 Broadwater Valley Fallon Jeerson $ Custer Deer *Crime rates based on index property crime offenses per 1,000 population Ravalli Lodge Silver Sweet Yellowstone Bow Gallatin Grass $ Stillwater Powder Carter Madison Park Big Horn $ River $ 10 Lowest Per Capa Income Counes Beaverhead $ Carbon Blaine $27,000 Big Horn $29,276 Glacier $32,148 Data Type Low High Sanders $32,258 Number of Aggravated Assaults In 2016 Index Property Crime Rate Data Type Between 200-375Low BetweenHigh 25-49 Lincoln $32,259 Between 100-199 Between 10-24 Less than 5 Lake $32,464 Per Capita Income Index Property Crime RateBetween 50-99  Between 5-9 $ $ Mineral $32,668 Unemployment Rate Per Capita Income $ $ Chouteau $32,859 Liberty $33,569 Employment Rate   Roosevelt $35,358 $- $5,000 $10,000 $15,000 $20,000 $25,000 $30,000 $35,000 $40,000

One factor that may skew data is lack of crime information for tribal lands. Montana Department of Labor & 10 Lowest Employment Rate Counes Statistics does include tribal lands in their income and unemployment Lincoln 91.0% calculations. Glacier 91.4% Sanders 92.2% Another reminder; this data is only Mineral 92.4% for property crimes and does not Big Horn 92.8% include offenses like DUI, assaults, Granite 94.1% drug offenses, etc. Montana’s Flathead 94.4% 94.5% property crimes make up 90% of the Rosebud 94.7% index crimes. Roosevelt Phillips 94.7% 89.0% 90.0% 91.0% 92.0% 93.0% 94.0% 95.0%

See more about your community at: crimein.MT.gov Page 98 Index Crimes & Offenses By Jurisdiction

Agg. Violent Larceny Vehicle Total Jurisdiction Assault Rape Robbery Homicide Offenses Theft Burglary Theft Property

Beaverhead County 5 0 0 0 5 38 8 3 49 Beaverhead SO 3 0 0 0 3 7 2 0 9 Dillon PD 2 0 0 0 2 31 6 3 40

Big Horn County 67 3 0 2 72 339 16 68 423 Big Horn SO 67 3 0 2 72 339 16 68 423

Blaine County 10 1 0 0 11 9 1 1 11 Blaine SO 9 1 0 0 10 2 1 1 4 Chinook PD 1 0 0 0 1 7 0 0 7

Broadwater County 28 0 0 0 28 32 11 5 48 Broadwater SO 28 0 0 0 28 32 11 5 48

Carbon County 21 0 0 3 24 88 28 11 127 Bridger PD 0 0 0 0 0 7 1 0 8 Carbon SO 12 0 0 3 15 49 21 8 78 Fromberg PD 0 0 0 0 0 0 0 0 0 Joliet PD 0 0 0 0 0 0 0 0 0 Red Lodge PD 9 0 0 0 9 32 6 3 41

Carter County 0 0 0 0 0 0 0 0 0 Carter SO 0 0 0 0 0 0 0 0 0

Cascade County 145 23 17 4 189 2,833 383 256 3,472 Cascade SO 22 3 2 1 28 180 35 20 235 Great Falls PD 123 20 15 3 161 2,653 348 236 3,237

Chouteau County 1 1 0 0 2 15 4 1 20 Chouteau SO 0 0 0 0 0 0 0 0 0 Fort Benton PD 1 1 0 0 2 15 4 1 20

Custer County 21 3 2 0 26 180 21 15 216 Custer SO 6 2 1 0 9 30 9 7 46 Miles City PD 15 1 1 0 17 150 12 8 170

Daniels County 0 0 0 0 0 1 0 1 2 Daniels SO 0 0 0 0 0 1 0 1 2

Dawson County 27 1 0 0 28 107 53 16 176 Dawson SO 17 1 0 0 18 33 25 7 65 Glendive PD 10 0 0 0 10 74 28 9 111

Deer Lodge County 32 1 1 1 35 225 81 34 340 Deer Lodge SO 32 1 1 1 35 225 81 34 340

Fallon County 5 0 0 0 5 12 3 4 19 Baker PD 3 0 0 0 3 10 1 1 12 Fallon SO 2 0 0 0 2 2 2 3 7

Page 99 Data. A building block for safer communities. Agg. Violent Larceny Vehicle Total Jurisdiction Assault Rape Robbery Homicide Offenses Theft Burglary Theft Property

Fergus County 61 10 1 0 72 110 24 4 138 Fergus SO 25 5 1 0 31 39 16 3 58 Lewistown PD 36 5 0 0 41 71 8 1 80

Flathead County 235 41 15 2 293 2,493 370 252 3,115 Columbia Falls PD 5 1 0 0 6 92 16 12 120 Flathead SO 162 20 4 2 188 1,082 229 171 1,482 Kalispell PD 58 16 11 0 85 1,152 108 59 1,319 Whitefish PD 10 4 0 0 14 167 17 10 194

Gallatin County 162 72 9 6 249 1,817 219 129 2,165 Belgrade PD 17 6 1 1 25 171 16 11 198 Bozeman PD 95 35 7 2 139 1,090 126 71 1,287 Gallatin SO 41 23 1 3 68 332 57 40 429 Manhattan PD 2 0 0 0 2 11 4 1 16 MSU PD 4 8 0 0 12 202 13 6 221 Three Forks LED 0 0 0 0 0 0 0 0 0 West Yellowstone PD 3 0 0 0 3 11 3 0 14

Garfield County 1 0 0 0 1 7 3 2 12 Garfield SO 1 0 0 0 1 7 3 2 12

Glacier County 36 2 2 0 40 98 14 14 126 Cut Bank PD 21 2 2 0 25 71 8 2 81 Glacier SO 15 0 0 0 15 27 6 12 45

Golden Valley County 2 0 0 0 2 2 3 1 6 Golden Valley SO 2 0 0 0 2 2 3 1 6

Granite County 4 1 0 0 5 43 11 5 59 Granite SO 4 1 0 0 5 43 11 5 59

Hill County 73 16 1 0 90 480 81 41 602 Havre PD 52 15 1 0 68 351 52 28 431 Hill SO 21 1 0 0 22 129 29 13 171

Jefferson County 41 0 0 0 41 111 21 12 144 Boulder PD 7 0 0 0 7 13 0 1 14 Jefferson SO 34 0 0 0 34 98 21 11 130

Judith Basin County 2 0 0 0 2 7 3 2 12 Judith Basin SO 2 0 0 0 2 7 3 2 12

Lake County 110 10 9 2 131 546 159 68 773 Lake SO 65 4 5 2 76 196 100 45 341 Polson PD 31 5 3 0 39 287 38 12 337 Ronan PD 11 1 1 0 13 61 17 9 87 St. Ignatius PD 3 0 0 0 3 2 4 2 8

See more about your community at: crimein.MT.gov Page 100 (Number of index crimes & offenses by jurisdiction continued)

Agg. Violent Larceny Vehicle Total Jurisdiction Assault Rape Robbery Homicide Offenses Theft Burglary Theft Property

Lewis & Clark County 216 64 23 4 307 1,353 253 141 1,747 East Helena PD 2 0 0 0 2 16 2 0 18 Helena PD 139 45 18 3 205 1,021 148 93 1,262 Lewis and Clark SO 75 19 5 1 100 316 103 48 467

Liberty County 9 0 0 1 10 0 0 1 1 Liberty SO 9 0 0 1 10 0 0 1 1

Lincoln County 36 2 0 1 39 249 40 18 307 Eureka PD 0 0 0 0 0 3 0 1 4 Libby PD 8 0 0 0 8 94 6 4 104 Lincoln SO 26 1 0 1 28 133 34 12 179 Troy PD 2 1 0 0 3 19 0 1 20

Madison County 8 0 0 0 8 35 12 2 49 Ennis PD 0 0 0 0 0 0 0 0 0 Madison SO 8 0 0 0 8 35 12 2 49

McCone County 2 0 0 0 2 6 2 4 12 McCone SO 2 0 0 0 2 6 2 4 12

Meagher County 2 0 0 0 2 11 1 2 14 Meagher SO 2 0 0 0 2 11 1 2 14

Mineral County 4 0 0 0 4 0 0 0 0 Mineral SO 4 0 0 0 4 0 0 0 0

Missoula County 331 66 64 0 461 3,425 515 236 4,176 Missoula PD 253 51 60 0 364 3,220 408 212 3,840 Missoula Co SO 74 15 3 0 92 82 104 24 210 UM PD 4 0 1 0 5 123 3 0 126

Musselshell County 28 1 1 1 31 66 14 10 90 Musselshell SO 28 1 1 1 31 66 14 10 90

Park County 22 4 1 0 27 290 29 22 341 Livingston PD 8 2 1 0 11 222 20 16 258 Park SO 14 2 0 0 16 68 9 6 83

Petroleum County 0 0 0 0 0 0 0 0 0 Petroleum SO 0 0 0 0 0 0 0 0 0

Phillips County 10 1 0 0 11 32 6 3 41 Phillips SO 10 1 0 0 11 32 6 3 41

Pondera County 5 2 1 0 8 38 0 5 43 Conrad PD 5 1 1 0 7 28 0 4 32 Pondera SO 0 1 0 0 1 10 0 1 11

Page 101 Data. A building block for safer communities. Agg. Violent Larceny Vehicle Total Jurisdiction Assault Rape Robbery Homicide Offenses Theft Burglary Theft Property

Powder River County 0 0 0 0 0 8 0 1 9 Powder River SO 0 0 0 0 0 8 0 1 9

Powell County 23 3 0 0 26 118 18 11 147 Deer Lodge PD 17 1 0 0 18 105 13 9 127 Powell SO 6 2 0 0 8 13 5 2 20

Prairie County 3 0 0 0 3 7 1 5 13 Prairie SO 3 0 0 0 3 7 1 5 13

Ravalli County 82 9 2 0 93 418 67 15 500 Hamilton PD 16 2 0 0 18 166 25 7 198 Ravalli SO 58 6 2 0 66 235 33 6 274 Stevensville PD 8 1 0 0 9 17 9 2 28

Richland County 38 4 0 0 42 184 45 28 257 Fairview PD 0 0 0 0 0 0 0 0 0 Richland SO 12 2 0 0 14 58 10 10 78 Sidney PD 26 2 0 0 28 126 35 18 179

Roosevelt County 68 2 2 2 74 82 21 11 114 Poplar PD 0 0 0 0 0 0 0 0 0 Roosevelt SO 51 0 0 2 53 25 12 6 43 Wolf Point PD 17 2 2 0 21 57 9 5 71

Rosebud County 6 0 0 0 6 30 7 6 43 Colstrip PD 2 0 0 0 2 12 1 0 13 Rosebud PD 4 0 0 0 4 18 6 6 30

Sanders County 18 5 1 0 24 96 20 8 124 Hot Springs PD 2 0 0 0 2 4 3 0 7 Plains PD 4 0 0 0 4 9 1 1 11 Sanders SO 9 4 1 0 14 46 11 4 61 Thompson Falls PD 3 1 0 0 4 37 5 3 45

Sheridan County 6 0 0 0 6 50 5 0 55 Plentywood PD 0 0 0 0 0 0 0 0 0 Sheridan SO 6 0 0 0 6 50 5 0 55

Silver Bow County 85 8 3 0 96 1,414 212 163 1,789 Silver Bow LED 85 8 3 0 96 1,414 212 163 1,789

Stillwater County 17 3 0 0 20 44 18 8 70 Columbus PD 7 1 0 0 8 17 1 1 19 Stillwater SO 10 2 0 0 12 27 17 7 51

Sweet Grass County 5 0 0 3 8 10 0 2 12 Sweet Grass SO 5 0 0 3 8 10 0 2 12

See more about your community at: crimein.MT.gov Page 102 (Number of index crimes & offenses by jurisdiction continued)

Agg. Violent Larceny Vehicle Total Jurisdiction Assault Rape Robbery Homicide Offenses Theft Burglary Theft Property

Teton County 16 1 1 0 18 27 18 5 50 Teton SO 16 1 1 0 18 27 18 5 50

Toole County 19 2 0 0 21 61 8 4 73 Toole SO 19 2 0 0 21 61 8 4 73

Treasure County 0 0 0 0 0 0 0 1 1 Treasure SO 0 0 0 0 0 0 0 1 1

Valley County 12 2 0 1 15 21 13 1 35 Glasgow PD 6 0 0 0 6 16 9 1 26 Valley SO 6 2 0 1 9 5 4 0 9

Wheatland County 9 1 0 0 10 5 1 1 7 Wheatland SO 9 1 0 0 10 5 1 1 7

Wibaux County 0 0 0 0 0 2 0 0 2 Wibaux SO 0 0 0 0 0 2 0 0 2

Yellowstone County 444 59 93 1 597 4,509 854 935 6,298 Billings PD 372 45 81 1 499 3,921 700 817 5,438 Laurel PD 9 0 1 0 10 129 14 10 153 Yellowstone SO 63 14 11 0 88 459 140 108 707

Page 103 Data. A building block for safer communities. Appendices a - d

ƒƒ Appendix A: 2016 MBCC Board of Directors ƒƒ Appendix B: Offenses Reported to MBCC ƒƒ Appendix C: NIBRS/MTIBRS Data Elements ƒƒ Appendix D: Glossary of Terms

See more about your community at: crimein.MT.gov Page 104 Appendix A: 2016 MBCC Board of Directors

Laura Obert - Chair Rick Kirn - Vice Chair Laurie Barron Broadwater County Tribal, Rural, NE MT Superintendent Commissioner Representative 18 W Evergreen Dr PO Box 196 PO Box 1267 Kalispell MT 59901 Townsend MT 59644 Poplar MT 59255 Phone: 751-1111 Phone: 980-2050 Phone: 768-7195 Representing: Educator Representing: Representing: Tribal Relations Term Expires: 1/1/2019 Local Government Term Expires: 1/1/2019 Term Expires: 1/1/2017

Tim Brurud Jared Cobell Adrianne Cotton Boys & Girls Club of the Hi-Line Assistant U.S. Attorney Department of Corrections Director Program Manager 119 1st Ave N Ste 300 9855 Hwy 2 W Great Falls MT 59401 5 S Last Chance Gulch Havre MT 59501 Phone: 771-2022 Helena MT 59620 Phone: 265-6206 Fax: 453-9973 Phone: 444-0340

Representing: Youth Justice Representing: Public Representing: Law Advisory Council Representative Enforcement Term Expires: 1/1/2017 Term Expires: 1/1/2021 Term Expires: 1/1/2019

Brenda Desmond Bill Dial Leo Dutton Missoula District Court Standing Whitefish Police Chief Lewis & Clark County Sheriff Master 275 Flathead Ave 221 Breckenridge 200 W Broadway Whitefish MT 59937 Helena MT 59601 Missoula MT 59802 Phone: 863-2422 Phone: 447-8287 Phone: 258-4728 Fax: 863-2439 Fax: 449-8452 Fax: 258-4739 Representing: Law Representing: Representing: Judiciary Enforcement Local Law Enforcement Term Expires: 1/1/2019 Term Expires: 1/1/2017 Term Expires: 1/1/2017

Page 105 Data. A building block for safer communities. Tim Fox Wyatt Glade Jennie Hansen Attorney General Custer County Attorney Eastern Bureau Chief, Probation & Parole Division 215 N Sanders 3080 Hwy 59 S Helena MT 59620 Miles City MT 59301 2615 4th Ave S Phone: 444-1909 Phone: 874-3310 Billings MT 59101 Fax: 444-3549 Phone: 896-5409 Representing: Law Fax: 896-5448 Representing: Attorney Enforcement General Term Expires: 1/1/2017 Representing: Community Term Expires: 1/1/2017 Corrections Term Expires: 1/1/2021

Bill Hooks Beth McLaughlin Olivia Rieger Chief Public Defender Supreme Court Administrator Dawson County Attorney

44 W Park Ave 301 S Park Ste 328 121 S Douglas Ave Butte MT 59701 Helena MT 59601 Glendive MT 59330 Phone: 496-6082 Phone: 841-2966 Phone: 377-2532 Fax: 496-6098 Fax: 377-2531 Representing: Judiciary Representing: Criminal Term Expires: 1/1/2019 Representing: Public Justice Agency Representative Term Expires: 1/1/2019 Term Expires: 1/1/2019

Angela Russell Geri Small Derek VanLuchene Tribal Representative PO Box 378 1125 Choteau St PO Box 333 Lame Deer MT 59043 Helena MT 59601 Lodge Grass MT 59050 Phone: 477-6654 Phone: 639-2947 Fax: 496-6098 Representing: Public Representative Representing: Public Representing: Professional and Term Expires: 1/1/2019 Representative Community Organizations Term Expires: 1/1/2019 Term Expires: 1/1/2021

See more about your community at: crimein.MT.gov Page 106 Appendix B: Offenses Reported to MBCC

Aggravated Assault ƒƒ Home arrest violation ƒ ƒƒ Abuse of teachers ƒ Illegal posting of public land ƒ ƒƒ Abuse, neglect, or exploiting the elderly ƒ Indecent exposure ƒ ƒƒ Assault on a minor ƒ Interfere with court order for minor ƒ ƒƒ Assault with a weapon ƒ Marrying a bigamist ƒ ƒƒ Assault with bodily fluid ƒ Negligent vehicular assault (serious bodily ƒƒ Assault, aggravated - permanent or life injury) ƒ threatening injury ƒ Obscene/harassing phone call - privacy in ƒƒ Assault, aggravated -broken bones, severe communication ƒ laceration, etc. (not permanent or life ƒ Obstructing a peace ofcer or other public threatening injury) servant ƒ ƒƒ Assault on a peace or judicial ofcer ƒ Obstructing justice ƒ ƒƒ Attempted homicide ƒ Ofcial misconduct ƒ ƒƒ Criminal endangerment ƒ Parole violation ƒ ƒƒ Endangering the welfare of children ƒ Perjury ƒ ƒƒ Hate motivated intimidation or harassment ƒ Possession of burglary tools ƒ ƒƒ Negligent vehicular assault (serious bodily ƒ Probation violation ƒ injury) ƒ Revocation of suspended/deferred sentence ƒ ƒƒ Partner or family assault (serious injury) ƒ Solicitation ƒ ƒƒ Ritual abuse of a minor ƒ Tampering with or fabricating physical evidence ƒƒ Tampering with public records or information All Other Offenses: ƒƒ Tampering with witnesses and informants ƒƒ Abuse of teachers ƒƒ Transfer illegal articles or communications ƒƒ Accountability for conduct of another ƒƒ Underage tobacco possession or consumption ƒƒ Aiding or soliciting suicide ƒƒ Unsworn falsification to authorities ƒƒ Attempt ƒƒ Use of property subject to criminal forfeiture ƒƒ Bail jumping ƒƒ Violation of conditions of release ƒƒ Bigamy ƒƒ Violation of no-contact order ƒƒ Bringing armed men into state ƒƒ Violation of protective order ƒƒ Causing animals to fight ƒ ƒ Conspiracy Arson: ƒƒ Contributing to sexual delinquency of minor ƒ ƒƒ Creating a hazard ƒ Arson ƒ ƒƒ Criminal contempt ƒ Arson, negligent ƒ ƒƒ Criminal defamation ƒ Arson, throwing lighted materials ƒƒ Cruelty to animals ƒƒ Employer misconduct Bad Check: ƒƒ Escape ƒƒ Issuing a bad check ƒƒ Failing to register as a sex or violent offender ƒƒ Failure to aid a peace ofcer ƒƒ Failure to yield party line Bribery: ƒƒ False alarm to agencies of public safety ƒƒ Bribery in ofcial and political matters ƒƒ False claims to public agencies ƒƒ Bribery, compounding a felony ƒƒ False reporting of a fire or other catastrophe ƒƒ Compensation for past ofcial behavior ƒƒ False reporting of an impending explosion ƒƒ Illegal gifts to public servants ƒƒ False reports to law enforcement authorities ƒƒ False swearing ƒƒ Garbage/Littering Burglary: ƒƒ Harming a police dog ƒƒ Burglary, aggravated

Page 107 Data. A building block for safer communities. ƒƒ Burglary, non-residence ƒƒ Registered cardholder/provider cultivating/ ƒƒ Burglary, residence manufacturing marijuana that is visible from the street or other public area ƒƒ Registered cardholder/provider illegal Curfew/Loitering/Vagrancy: cultivation/manufacture of marijuana ƒƒ Incitement to riot ƒƒ Registered cardholder/provider in possession of ƒƒ Juvenile curfew violations more marijuana than allowed by law ƒƒ Loitering juvenile ƒƒ Sale of dangerous drugs ƒƒ Riot ƒƒ Sale of dangerous drugs on/near school ƒƒ Ungovernable juvenile property ƒƒ Sale of imitation dangerous drugs ƒ Disorderly Conduct: ƒ Sells or gives intoxicating substances to minors ƒƒ Use of medical marijuana in a prohibited area ƒƒ Civil disorder ƒƒ Criminal incitement ƒƒ Disorderly conduct Driving Under the Influence (DUI): ƒƒ Failure of disorderly person to disperse ƒƒ Aggravated DUI ƒƒ Obstructing access to health care facility ƒƒ Criminal child endangerment ƒƒ Public nuisance ƒƒ DUI, determined level of intoxication, liquor 0.08 or greater ƒ Drug Equipment Violations: ƒ DUI, intoxication by drugs or alcohol ƒƒ DUI, under 21 with BAC of 0.02 - liquor ƒƒ Advertisement of drug paraphernalia ƒƒ DUI, undetermined level - refused to test ƒƒ Delivery of drug paraphernalia to a minor ƒƒ Manufacture or delivery of drug paraphernalia ƒƒ Possession of drug paraphernalia Embezzlement: ƒƒ Embezzlement Drug/Narcotic: ƒƒ Advertisement of imitation dangerous drugs Extortion/Blackmail: ƒƒ Altering labels on dangerous drugs ƒƒ Extortion/blackmail ƒƒ Criminal child endangerment ƒƒ Cultivation/manufacturing marijuana in undisclosed or shared location Family Offenses, Nonviolent: ƒƒ Fraudulently obtaining dangerous drugs ƒƒ Abuse, neglect, or exploiting elderly ƒƒ Infused-products provider distributing ƒƒ Aggravated visitation interference marijuana in the incorrect form ƒƒ Criminal child endangerment ƒƒ Manufacture imitation dangerous drugs ƒƒ Endangering the welfare of children ƒƒ Minor child cardholder smoking marijuana ƒƒ Nonsupport ƒ ƒ Operation of clandestine lab ƒƒ Parenting interference ƒƒ Possession of dangerous drugs or provider/ ƒƒ Ritual abuse of a minor marijuana-infused provider use of medical ƒ marijuana ƒ Truancy ƒƒ Possession of imitation drugs with purpose to ƒƒ Unlawful transactions with children sell ƒƒ Visitation interference ƒƒ Possession of precursors to dangerous drugs ƒ ƒ Possession of toxic substances Forgery/Counterfeiting: ƒƒ Possession with intent to sell ƒ ƒƒ Production or manufacture of dangerous drugs ƒ Counterfeit ƒ ƒƒ Registered cardholder cultivating/ ƒ Counterfeiting or defacing gambling manufacturing marijuana on rented or leased documents ƒ property without written permission ƒ Forgery

See more about your community at: crimein.MT.gov Page 108 Fraud: ƒƒ Human trafcking, involuntary servitude ƒ ƒƒ Avoidance of telecommunication charges ƒ Sexual servitude of child ƒƒ Chain distributor scheme ƒƒ Credit cards Intimidation: ƒƒ Deceptive business practices ƒƒ Assault - threat to coerce gang membership ƒƒ Deceptive practices for financial gain ƒƒ Assault, by coercion, intimidation, or threat ƒƒ Defrauding creditors ƒƒ Stalking ƒƒ Failure to return rented or leased property ƒƒ Threats in fo cial and political matters ƒƒ Impersonating a public servant ƒƒ Medicaid fraud ƒ ƒ Money laundering Kidnapping: ƒƒ Obscuring the identity of a machine ƒƒ Obtaining communication services to defraud ƒƒ Custodial interference ƒƒ Pyramid scheme ƒƒ Kidnapping ƒƒ Securities regulations ƒƒ Kidnapping, aggravated ƒƒ Securities selling ƒƒ Unlawful restraint ƒƒ Security fraud ƒƒ Security liability Larceny/Theft: ƒ ƒ Theft of identity, fraud ƒ ƒƒ Theft of labor or services or use of property ƒ Illegal branding or altering or obscuring a ƒ brand ƒ Unauthorized acquisition/transfer of food ƒ stamps ƒ Pickpocket ƒ ƒƒ Purse snatch ƒ Unlawful automated telephone solicitation ƒ ƒƒ Unlawful use of a computer ƒ Shoplift ƒ ƒƒ Theft from buildings ƒ Welfare fraud ƒ ƒƒ Workers comp fraud ƒ Theft from coin-op machines ƒƒ Theft of belongings from motor vehicles ƒƒ Theft of lost or mislaid property Gambling: ƒƒ Theft of motor vehicles parts and accessories ƒƒ Betting, wagering ƒƒ Theft, all others ƒƒ Bribery in contests/sports tampering Liquor Law Violations: ƒƒ Gambling on a cash basis Illegal sale, lease or ƒƒ Closing hours for licensed retail establishments transfer of gambling license ƒƒ Drinking in public ƒƒ Minors not to participate in gambling ƒƒ Failure to attach keg tag ƒƒ Obtain item of value by fraud or illegal ƒƒ False identification by a minor to get alcohol gambling ƒƒ Liquor license/employee sells or provides ƒƒ Possess illegal gambling device or enterprise alcohol to person under age 21 ƒƒ Possession and sale of antique slot machines ƒƒ Open container in motor vehicle on highway ƒƒ Soliciting participation in illegal gambling ƒƒ Providing alcohol to an intoxicated person activity ƒƒ Purchase or possess intoxicant by a minor ƒƒ Remove or deface keg tab Homicide: ƒƒ Sale of alcohol not purchased from state agency ƒƒ Sale of alcohol without license ƒƒ Homicide, deliberate ƒ ƒ ƒ Sell or provide alcohol to person under age 21 ƒ Homicide, justifiable ƒƒ Selling alcohol after hours ƒƒ Homicide, mitigated deliberate ƒ ƒ ƒ Sells or gives an alcoholic beverage to minors ƒ Homicide, negligent ƒƒ Unlawful transfer or possession of alcohol ƒƒ Vehicular homicide

Motor Vehicle Theft: Human Trafficking: ƒ ƒ ƒ Motor vehicle theft ƒ Human trafcking, commercial sex acts ƒƒ Unauthorized use of motor vehicle

Page 109 Data. A building block for safer communities. Obscenity/Pornography: Stolen Property: ƒƒ Display or provide obscene material to minors ƒƒ Illegal handling of stolen property ƒƒ Obscenity ƒƒ Receiving stolen property from minor ƒƒ Theft by disposal of stolen property Peeping Tom: ƒƒ Peeping Tom Trespass: ƒƒ Stowing away on railroad property ƒƒ Trespass, criminal, to property Prostitution: ƒƒ Trespass, criminal, to vehicles ƒƒ Patronizing of child ƒƒ Prostitution ƒƒ Prostitution promotion Vandalism/Criminal Mischief: ƒƒ Prostitution, aggravated promotion of ƒƒ Criminal mischief/vandalism ƒƒ Desecration of Capitol ƒƒ Desecration of flags Robbery: ƒƒ Intentional vandalism to railroad property ƒƒ Robbery Weapons Law Violations: Sex Offenses, Forcible: ƒƒ Carrying a concealed weapon when prohibited ƒƒ Same-sex forcible rape ƒƒ Carrying a concealed weapon while intoxicated ƒƒ Sexual abuse of children ƒƒ Carrying concealed weapon ƒƒ Sexual assault ƒƒ Discharge within city limits - firing firearms ƒƒ Sexual intercourse (forcible sodomy) w/o ƒƒ Guns in schools consent ƒƒ Manufacturer’s failure to register machine gun ƒƒ Sexual intercourse (with object) w/o consent ƒƒ Owner’s failure to register machine gun ƒƒ Sexual intercourse without consent ƒƒ Possess illegally, sawed-off firearm ƒƒ Sodomy, deviate sexual conduct ƒƒ Possess illegally, switchblade knife ƒƒ Possession of a destructive device ƒ Sex Offenses, Non-forcible: ƒ Possession of a silencer ƒƒ Possession of deadly weapon by a prisoner ƒƒ Incest ƒƒ Possession of explosives ƒƒ Statutory rape - sexual intercourse w/o consent ƒƒ Possession of firearm by convicted person ƒƒ Providing firearms to criminal street gangs Simple Assault: ƒƒ Reckless or malicious use of explosives ƒ ƒ ƒ Selling or giving explosives to minors ƒ Abuse of teachers ƒƒ Use of firearms by children under fourteen ƒƒ Abuse, neglect, or exploiting the elderly ƒ ƒ ƒ Use of machine gun for offensive purpose ƒ Assault upon sports ofcial ƒƒ Use of machine gun in connection with a crime ƒƒ Assault with bodily fluid ƒƒ Assault, simple - with minor injuries (no broken bones or severe lacerations, etc.) ƒƒ Endangering the welfare of children ƒƒ Mistreating prisoners ƒƒ Negligent endangerment ƒƒ Partner or family member assault (non-aggravated) ƒƒ Resisting arrest ƒƒ Ritual abuse of a minor

See more about your community at: crimein.MT.gov Page 110 Appendix C: NIBRS/MTIBRS Data Elements The field labels used in the NIBRS/MTIBRS are called data elements. The MTIBRS collects information on 63 data elements. Data values describe the characteristics of an incident. Some data values are mandatory; others are mandatory/conditional, meaning the data values are collected only when certain conditions within an incident are met.

Data elements in the MTIBRS 1. ORI (Originating Agency Identification) 33. Law Enforcement Ofcers Killed or Assaulted number (LEOKA) type of assignment 2. Incident number 34. LEOKA type of activity 3. Cargo theft 35. LEOKA ORI of other jurisdiction 4. Incident date/hour 36. Victim age 5. Exceptional clearance 37. Victim sex 6. Exceptional clearance date 38. Victim race 7. Offense code(s) 39. Victim ethnicity 8. Offense attempted/completed 40. Victim residency 9. Offender(s) suspected of using 41. Aggravated assault/homicide circumstances 10. Bias motivation 42. Additional justifiable homicide circumstances 11. Domestic abuse related 43. Type of injury 12. Gang related 44. Offender number(s) to be related 13. Gambling related 45. Relationship of victim to offender(s) 14. Drug Task Force related 46. Offender sequence number 15. Mental health related 47. Offender sex 16. Location type 48. Offender age 17. Number of premises entered 49. Offender race 18. Method of entry 50. Offender ethnicity 19. Type of criminal activity 51. Arrestee sequence number 20. Type of weapon/force involved 52. Arrest transaction number 21. Type of property loss/etc. 53. Arrest date 22. Property description 54. Type of arrest 23. Value of property 55. Multi-arrest segments indicator 24. Date recovered 56. Arrest offense code(s) 25. Number of stolen motor vehicles 57. Arrestee was armed with 26. Number of recovered motor vehicles 58. Arrestee age 27. Suspected drug type 59. Arrestee sex 28. Estimated drug quantity 60. Arrestee race 29. Type of drug measure 61. Arrestee ethnicity 30. Victim sequence number 62. Arrestee resident status 31. Victim connected to offense code(s) 63. Disposition of arrestee when arrestee is less 32. Type of victim than 18

More information about the MTIBRS can be found online at: http://mbcc.mt.gov/Data/MTIBRS More information about the FBI’s NIBRS program can be found online at: https://ucr.fbi.gov

Page 111 Data. A building block for safer communities. Appendix D: Glossary of Terms

ƒƒ Cleared by Arrest – An offense that is cleared the identity of the offender; (2) there is enough when at least one person is (1) arrested; (2) information to support an arrest, charge, and charged with the commission of the offense; and turning over to the court for prosecution; (3) the (3) turned over to the court for prosecution. If exact location of the offender is known so the more than one crime is committed during an subject could be taken into custody; and (4) some incident, one arrest will clear all of the crimes. reason outside law enforcement control prevents bringing the offender to court. ƒƒ Crimes Against Persons – Includes the following crimes: aggravated assault, forcible ƒƒ Group A Offenses – For NIBRS purposes, Group fondling, forcible rape, forcible sodomy, incest, A offenses include 23 crime categories for which intimidation, justifiable homicide, kidnapping/ extensive crime data should be collected. The abduction, murder and non-negligent complete list of the Group A offenses is available manslaughter, negligent manslaughter, sexual on our reportable Offense Code list. (Appendix assault with an object, simple assault, and B) statutory rape. ƒƒ Group B Offenses – For NIBRS purposes, Group ƒƒ Crimes Against Property – Includes the B offenses include 10 crime categories for which following crimes: larceny/theft, arson, bribery, only arrest data should be collected. However, burglary/breaking and entering, counterfeiting/ Montana treats Group B offenses the same as forgery, fraud, robbery, motor vehicle theft, Group A offenses and collects all data elements destruction/damage/vandalism of property, for Group B crimes. The complete list of Group false pretenses/swindle/confidence game, B offenses is available on our reportable Offense embezzlement, and stolen property offenses. Code list. (Appendix B) ƒƒ Crimes Against Society – Includes the following ƒƒ Index Crimes – Includes the following crimes: crimes: assisting or promoting prostitution, homicide, rape, robbery, aggravated assault, betting/wagering, drug offenses, gambling burglary, larceny/theft, and motor vehicle theft. equipment violations, operation/promoting/ ƒ assisting gambling, pornography/obscene ƒ Index Crime Rate – The number of Index material, prostitution, sports tampering, and Crimes per a standard population, typically weapon law violations. 100,000 people. ƒ ƒƒ Crime Index – The total of the seven index ƒ Juvenile – Youth who are age 17 and under. crimes (aggravated assault; homicide; rape; ƒƒ Sex Offenses – Includes the following crimes: robbery; larceny/theft; motor vehicle theft; forcible fondling, forcible rape, forcible sodomy, burglary) used to measure the extent, fluctuation, incest, sexual assault with an object, and statutory and distribution of crime. rape. ƒƒ Drug Offenses – Includes the following crimes: ƒƒ Summary Reporting – A method of collecting drug equipment violations and drug/narcotic crime data adopted for national reporting violations. purposes in which a limited amount of data ƒƒ Exceptional Clearance – For UCR purposes, an associated with an offense or arrest is compiled by offense is considered exceptionally cleared when each contributing agency. law enforcement has (1) definitely established

See more about your community at: crimein.MT.gov Page 112