Focus on crime data, measurement, and statistics.
Crime data provides insights into crime patterns, trends, and prevalence.
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.
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".
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.
Victim Surveys:
National Crime Victimization Survey (NCVS): Collects data on victims' experiences with crime.
Self-Report Surveys:
Ask individuals about their own criminal behavior.
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 Coverage: More comprehensive than UCR, covering 22 major crimes without the hierarchy rule.
NIBRS Shortcomings:
Participation-based; not fully representative.
Strengths:
Different estimates on crime occurrence.
Avoids police bias, includes victim demographics.
Shortcomings:
Less info on offenders, limits on age group (no under 12).
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.
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.
Data used to test and build theories on crime related to biological, psychological, and sociological aspects.
Understanding the strengths and weaknesses of various crime data sources is crucial for accurate crime analysis.
Lecture 2. Crime data and crime measurement - post
Focus on crime data, measurement, and statistics.
Crime data provides insights into crime patterns, trends, and prevalence.
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.
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".
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.
Victim Surveys:
National Crime Victimization Survey (NCVS): Collects data on victims' experiences with crime.
Self-Report Surveys:
Ask individuals about their own criminal behavior.
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 Coverage: More comprehensive than UCR, covering 22 major crimes without the hierarchy rule.
NIBRS Shortcomings:
Participation-based; not fully representative.
Strengths:
Different estimates on crime occurrence.
Avoids police bias, includes victim demographics.
Shortcomings:
Less info on offenders, limits on age group (no under 12).
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.
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.
Data used to test and build theories on crime related to biological, psychological, and sociological aspects.
Understanding the strengths and weaknesses of various crime data sources is crucial for accurate crime analysis.