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Lecture 2. Crime data and crime measurement - post

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Lecture 2. Crime data and crime measurement - post

Overview

  • Focus on crime data, measurement, and statistics.

Crime Data and Its Importance

  • Crime data provides insights into crime patterns, trends, and prevalence.

Crime Data Resources

  • Crime Data Explorer by FBI: Explore crime data by location and dataset. Highlights include:

    • Population: 332,643,466

    • Number of Agencies: 15,875

  • Check agency participation for NIBRS data.

Crime Trends

  • Violent Crimes: Rate of violent crime offenses shows a downward trend since the 1990s.

  • Property Crimes: Property crime rates have also declined since the 1990s.

  • Notable peak in early 1990s termed the "crime wave".

Crime Measurement Methods

  1. Official law enforcement records:

    • Uniform Crime Reports (UCR): Compile national crime data from about 17,000 police agencies.

    • Supplementary Homicide Reports (SHR): Provides detailed homicide information.

    • National Incident-Based Reporting System (NIBRS): Gathers incident-based crime info from law enforcement.

  2. Victim Surveys:

    • National Crime Victimization Survey (NCVS): Collects data on victims' experiences with crime.

  3. Self-Report Surveys:

    • Ask individuals about their own criminal behavior.

UCR and Its Implications

  • UCR Strengths:

    • National coverage.

    • High participation (95%).

    • Allows comparison of crime across time and locations.

  • UCR Shortcomings:

    • Underestimates actual crime.

    • Focuses on street crime, lacks victim/offender detail.

NIBRS Overview

  • NIBRS Coverage: More comprehensive than UCR, covering 22 major crimes without the hierarchy rule.

  • NIBRS Shortcomings:

    • Participation-based; not fully representative.

NCVS Overview

  • Strengths:

    • Different estimates on crime occurrence.

    • Avoids police bias, includes victim demographics.

  • Shortcomings:

    • Less info on offenders, limits on age group (no under 12).

Additional Measurement Methods

  • Self-Report Data (SRD): Collects unfiltered data from offenders about their behaviors.

  • Cohort and Ethnographic Studies: Focus on specific groups/behaviors, provide in-depth qualitative data.

Important Crime Trends

  • Demographics:

    • Race, gender, and age heavily influence crime statistics.

    • Males commit more crime; youth (15-24 years old) are most crime-prone.

  • Class and Crime: Serious street crimes more prevalent among the poor, while white-collar crimes are more common among the wealthy.

Theoretical Perspectives on Crime

  • Data used to test and build theories on crime related to biological, psychological, and sociological aspects.

Key Takeaways

  • Understanding the strengths and weaknesses of various crime data sources is crucial for accurate crime analysis.