Counting Crime Methods for Counting Crime Current Crime

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Counting Crime Methods for Counting Crime? Current Crime Numbers/Trends Explaining the Crime Drop 1

Counting Crime Methods for Counting Crime? Current Crime Numbers/Trends Explaining the Crime Drop 1

Methods of Measuring Crime Uniform Crime Reports Self- Report Surveys Victim Surveys 2

Methods of Measuring Crime Uniform Crime Reports Self- Report Surveys Victim Surveys 2

Uniform Crime Reports Based on Crimes Reported to the Police Based on a population

Uniform Crime Reports Based on Crimes Reported to the Police Based on a population unit of 100, 000 people Divided into two representative categories: Indexed and non-Indexed Reported for U. S. , Cities, and SMSA’s Crimes known / Arrest = Clearance Rate 3

Uniform Crime Reports Violent Crime �Part I “Index” Crimes ◦ Criminal Homicide ◦ Forcible

Uniform Crime Reports Violent Crime �Part I “Index” Crimes ◦ Criminal Homicide ◦ Forcible Rape ◦ Robbery ◦ Aggravated assault ◦ Burglary ◦ Larceny/theft Non-violent ◦ Motor vehicle theft Crime ◦ Arson �Part II Crimes ◦ All others except traffic 4

Criticisms and Limitations of the UCR Cannot capture the “dark figure” of crime Methodological

Criticisms and Limitations of the UCR Cannot capture the “dark figure” of crime Methodological Hiccups • Counting Rule • Reporting Practices • Attempted vs. Completed Crimes 5

�National Incident-Based Reporting System (NIBRS) �Maintained by the F. B. I. �Twenty-two crime categories

�National Incident-Based Reporting System (NIBRS) �Maintained by the F. B. I. �Twenty-two crime categories �More information on each crime in each category �Data compiled based on incidents, not arrests. The Future of the Uniform Crime Reports 6

Self-Report Surveys 4 Participants (usually juveniles) reveal information about their violations of the law

Self-Report Surveys 4 Participants (usually juveniles) reveal information about their violations of the law Advantages ◦ Get at “Dark Figure of Crime” ◦ “Victimless Crimes” ◦ Compare to “official data” ◦ Measure theoretical concepts and connect with criminal behavior 7

�Disadvantages ◦ May underestimate “chronic offenders” ◦ People Can Lie ◦ Survey Methodology Problems

�Disadvantages ◦ May underestimate “chronic offenders” ◦ People Can Lie ◦ Survey Methodology Problems �Seriousness of Offense ◦ No “National” survey for trends �Exception = MTF for drugs/alcohol Self-Report Surveys 8

National Crime Victimization Survey 1. Asks victims about their encounters with criminals 2. Nationally

National Crime Victimization Survey 1. Asks victims about their encounters with criminals 2. Nationally representative sample 3. May also describe people most at risk 4. Limitations: Little information about offenders Cannot assess some crimes Limitations of Survey Research 9

�UCR ◦ Aggregate Data (see trends), Crimes known to police �Self-report ◦ Individual level

�UCR ◦ Aggregate Data (see trends), Crimes known to police �Self-report ◦ Individual level data, links offender characteristics to criminal offending �NCVS ◦ Aggregate Data (see trends), victimizations REVIEW 10

�Crime Trends ◦ Is crime increasing, decreasing or stable? ◦ Why? �Correlates of Crime

�Crime Trends ◦ Is crime increasing, decreasing or stable? ◦ Why? �Correlates of Crime ◦ What factors are related to crime? ◦ Geographic location, Age, Race, Gender, Social Class? Crime Trends and Correlates of Crime 11

�UCR and NCVS data reveal a steady decrease in violent crime since the mid

�UCR and NCVS data reveal a steady decrease in violent crime since the mid 1990 s ◦ The decrease is being driven by a sharp decline in violent crime among juveniles. �NCVS indicates a long term trend of decreasing property crime ◦ Some difference with UCR data Crime Trends 12

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Duluth Violent Crime 1986 -2010 17

Duluth Violent Crime 1986 -2010 17

140 120 100 80 MN 60 U. S. 40 20 0 Homicide Robbery Rape

140 120 100 80 MN 60 U. S. 40 20 0 Homicide Robbery Rape MN vs. National Violent Crime (per 100, 000 citizens) 18

◦ The usual suspects �Age Composition �The Economy �Social malaise �Guns—Availability �Justice Policy—Police or

◦ The usual suspects �Age Composition �The Economy �Social malaise �Guns—Availability �Justice Policy—Police or Prisons ◦ Reality? Difficult to predict trends Explaining Crime Trends 19

The Crime Drop (1990 s-present) �Again, areas think young males in inner city ◦

The Crime Drop (1990 s-present) �Again, areas think young males in inner city ◦ Decline of the “Crack Cocaine” wars ◦ The “blunt” era �Change in inner city culture ◦ Mass incarceration ◦ Freakonomics: Was it Abortion? 20

�Demographics ◦ Age ◦ Sex ◦ Race Correlates of Crime 21

�Demographics ◦ Age ◦ Sex ◦ Race Correlates of Crime 21

�UCR, NCVS, and SR data all indicate that females are more likely than males

�UCR, NCVS, and SR data all indicate that females are more likely than males to commit criminal acts ◦ Socialization? ◦ Biological differences? ◦ Feminist explanations GENDER AND CRIME 22

�SR weak if any relationship �Official data strong relationship �Is relationship due to bias?

�SR weak if any relationship �Official data strong relationship �Is relationship due to bias? �How police patrol and interact with minorities �Disparity in how CJS processes minorities? �NCVS data confirms some “true” racecrime relationship. Why does race predict crime? �Relationship to class, neighborhood, culture RACE AND CRIME 23

The Age-Crime Curve 24

The Age-Crime Curve 24

�Crime is “young” persons game �HOWEVER ◦ There is a group of “chronic” offenders

�Crime is “young” persons game �HOWEVER ◦ There is a group of “chronic” offenders that persist in crime after adulthood ◦ The “Chronic” 6% Age and Crime 25

Cohort studies clearly show that most chronic juvenile offenders continue their law-violating careers as

Cohort studies clearly show that most chronic juvenile offenders continue their law-violating careers as adults. Continuity of Crime Then and …………. . NOW 26

�Criminals and victims tend to look the same demographically ◦ Most crime is intraracial

�Criminals and victims tend to look the same demographically ◦ Most crime is intraracial ◦ Victimization for most crimes most likely among �Young �Male �Urban Crime Victimization 27

�We have no “UCR” mechanism to gauge white collar crime ◦ How to assess

�We have no “UCR” mechanism to gauge white collar crime ◦ How to assess insider trading, environmental crimes, corporate crime? �Most large corporate crime prosecutions in in a settlement What is counted counts 28