Crime Tracker Slides Case File: #US-2024-CRIME
JUSTICE JOURNALS
An Investigative Webquest into United States Violent Crime Trends
Confidential Briefing
The Mission
Objective 1
Identify the four categories of violent crime as defined by the FBI.
Objective 2
Analyze 20-year trends to determine if violent crime is increasing or decreasing.
Objective 3
Compare public perception of crime with actual statistical data.
Use the data to separate
The Four Pillars
The FBI's Uniform Crime Reporting (UCR) Program definition
Homicide
Murder and non-negligent manslaughter.
Rape
Penetration, no matter how slight, without consent.
Robbery
Taking something by force or threat of force.
Assault
Aggravated assault involving intent to cause serious injury.
Source Investigation
01
FBI CDE
Crime Data Explorer. Based on crimes reported to police across 18,000+ agencies.
02
BJS (NCVS)
National Crime Victimization Survey. Self-reported data from victims (including crimes not reported to police).
PRO TIP
"Crime rates are usually measured 'per 100,000 people'. This allows us to compare a big city like NYC to a small town fairly."
Trend Tracer Webquest Worksheet TREND TRACER WEBQUEST
INCIDENT REPORT // VIOLENT CRIME ANALYSIS
Internal Use Only
AGENT:
DATE:
MISSION: Access the provided data links to track violent crime trends over the last two decades. Record your findings below to complete the final incident report.
1
PHASE 1: FBI CRIME DATA EXPLORER (CDE)
https://cde.ucr.cjis.gov/LATEST/webapp/#/pages/explorer/crime/crime-trend
Navigate to the "Violent Crime" trend line for the United States. Analyze the chart from 2000 to the present:
General Trend (Increasing/Decreasing?):
Peak Year (highest rate):
Lowest Year (lowest rate):
Most Recent Data Year:
Critical Thinking: Why do you think the FBI data only includes crimes reported to the police? List one potential weakness of this data source:
2
PHASE 2: BUREAU OF JUSTICE STATISTICS (BJS)
https://bjs.ojp.gov/data-collection/ncvs
The NCVS measures "victimization" by calling households. Use the BJS data to compare trends:
What percentage of violent crimes typically go UNREPORTED according to the BJS?
Does the NCVS trend line generally match the FBI's trend line? Explain the similarities or differences:
3
PHASE 3: PUBLIC PERCEPTION
https://www.pewresearch.org/short-reads/2024/04/24/what-the-data-says-about-crime-in-the-us/
Scroll to the section on Public Perception. Analyze the gap between data and public opinion:
What % of Americans say there is MORE crime than there was a year ago?
Does the actual FBI data support this feeling from the public? (Yes/No & Why)
List TWO reasons why you think people believe crime is rising even when statistics show it is falling:
4
FINAL VERDICT: STATE ANALYSIS
Return to the FBI CDE. Filter by "State". Choose your own state (or any state of interest) and compare it to the National Average.
State Name
State Rate (per 100k)
National Rate (per 100k)
Conclusion: Is your chosen state safer or more dangerous than the national average? Cite one specific piece of data to prove your point.
Detective's Key Teacher Guide DETECTIVE'S KEY
TEACHER ANSWER GUIDE // VIOLENT CRIME ANALYSIS
Internal Use Only
NOT FOR STUDENT DISTRIBUTION
GUIDE: Use this key to assess student findings. Note that data from the FBI and BJS may fluctuate slightly as new reports are processed.
1
PHASE 1: FBI DATA (EXPECTED VALUES)
General Trend:
Long-term decrease (Significant decline since the early 1990s peak).
Peak Year (approx):
1991 (Historical peak) or 2006 (Recent high).
Lowest Year (approx):
2014 or 2019 (Rates reached historic lows).
Most Recent Data Year:
Usually 2022 or 2023 (Latest annual release).
Weakness of FBI Data:
Only records crimes reported to police. Many victims (especially of rape/robbery) do not report crimes due to fear, lack of trust in police, or shame. This is called the "Dark Figure of Crime."
2
PHASE 2: BJS (NCVS) DATA
Unreported Percentage:
Roughly 50-60% of violent crimes go unreported to police.
Similarity to FBI Data:
Both show a dramatic long-term decline in violent crime since the early 1990s.
3
PHASE 3: PERCEPTION VS REALITY
Public Sentiment:
~75-80% of Americans say there is MORE crime today.
Actual Data Support?
NO. FBI data shows rates are near historic lows compared to the 80s/90s.
Reason for Discrepancy (Potential Answers):
1. Media Coverage: Local news often leads with violent stories ("If it bleeds, it leads").
2. Social Media: Viral videos of specific incidents make them feel common/widespread.
3. Political Rhetoric: Campaign ads often emphasize crime for emotional impact.
TEACHER FACILITATION TIPS
Correlation/Causation: Remind students that a decline in crime doesn't mean crime is "gone"—just that it is statistically less frequent.
2020 Spike: Students may notice a spike in homicide in 2020. This is an excellent discussion point (Impact of COVID-19, social unrest, etc.).
Per 100k: Ensure students understand they are looking at "rates" not "raw numbers" to account for population growth.
Local Lens Slides Unit: Regional Dynamics
LOCAL LENS
Analyzing State & Local Crime Statistics
The Property Pillar
Burglary
The unlawful entry of a structure to commit a felony or a theft. Physical force is not required.
Larceny-Theft
The unlawful taking, carrying, leading, or riding away of property from the possession of another (e.g., shoplifting, bike theft).
Motor Vehicle Theft
The theft or attempted theft of a motor vehicle (cars, trucks, buses, motorcycles, etc.).
"Unlike violent crimes, property crimes do not involve the use or threat of force against victims."
Data Distinction
Not all crimes lead to an arrest.
Offense Data
Total number of crimes committed and reported to police.
Arrest Data
Number of people taken into custody. One arrest can clear multiple offenses!
We will compare Arrest Rates to Crime Rates across different ages and demographics.
Regional Landscapes
Metropolitan
Major urban centers and their surrounding suburbs. High density.
Micropolitan
Smaller urban clusters (population 10,000 - 50,000).
Rural
Counties outside urban clusters. Low population density.
Why does crime data vary so much between a city and a rural county? Is it just population?
State Scan Tracker Worksheet STATE SCAN REPORT
FIELD ANALYSIS // REGIONAL CRIME DATA
INVESTIGATOR:
TARGET STATE:
MISSION: Deploy to the FBI CDE (Crime Data Explorer). Filter by your chosen state to analyze 10-year trends and regional discrepancies.
A
DECADE OVERVIEW (10-YEAR TREND)
Use the "Explorer" tab. Select your state and look at the trend lines for the last 10 years.
Violent Crime Trend
Year (Start):
Rate (Start):
Year (Present):
Rate (Present):
Property Crime Trend
Year (Start):
Rate (Start):
Year (Present):
Rate (Present):
Analysis: Which category of crime saw the largest percentage change? Is this surprising given public perception?
B
ARREST DATA INVESTIGATION
Switch to "Arrest Data". Compare the number of Arrests to the number of Offenses for two specific crimes in your state.
CRIME TYPE ANNUAL OFFENSES ANNUAL ARRESTS GAP (Difference) Larceny-Theft Aggravated Assault
Why might the number of arrests be much lower than the number of reported offenses?
C
REGIONAL COMPARISON (METRO VS. RURAL)
Find two different agencies in your state: one in a major city and one in a rural county.
Metropolitan Agency
Agency Name:
Violent Crime Rate:
Property Crime Rate:
Rural Agency
Agency Name:
Violent Crime Rate:
Property Crime Rate:
Critical Analysis: Is there a significant difference in the types of crime between the two regions? Why do you think that is?
D
THE REPORTING GAP (BJS DATA)
Use the Bureau of Justice Statistics (NCVS) tool to look at unreported crime for your specific region or crime type.
Which crime has the HIGHEST non-reporting rate in your state/region?
How has the "Reporting Rate" changed over the last 5 years? (Up/Down)
Final Conclusion: Based on all the data (FBI Offenses, Arrests, and BJS Victimization), write a 3-sentence summary of the safety level of your state today vs. 10 years ago.
State Scan Facilitator Guide Teacher Resource STATE SCAN FACILITATOR
TEACHER RESOURCE // DATA NAVIGATION GUIDE
Teacher Facing
STATE & LOCAL ANALYSIS
GUIDE: This document provides technical instructions for navigating the FBI Crime Data Explorer (CDE) and BJS victimization surveys to ensure students can successfully find state-specific data.
1
PHASE A: FILTERING BY STATE
Step-by-Step Instructions:
Go to the FBI CDE (Crime Data Explorer).
On the left sidebar, click "Documents & Downloads" or use the main "Explorer" tool.
In the "Location" dropdown, change from "United States" to your specific State.
Wait for the page to refresh. All charts now reflect state-specific data.
Common Pitfall:
Students often forget to switch from "Volume" (raw numbers) to "Rate" (per 100k). Raw numbers will always look higher in big states like CA or TX, regardless of safety. Remind them to use Rates for fair comparisons.
2
PHASE B: ARREST VS. OFFENSE
Under the "Arrest" tab, students can see demographics (Age, Sex, Race) of those taken into custody. This is different from the "Crime" tab which counts incident reports.
Key Teaching Point:
Explain the "Clearance Rate." A crime is "cleared" when an arrest is made. In most states, property crimes (like larceny) have much lower clearance rates (~10-20%) than violent crimes (~40-60%). This explains the "Gap" students calculate on the worksheet.
3
PHASE C: AGENCY-LEVEL ANALYSIS
To compare "Metro" vs. "Rural," students must use the "Law Enforcement Agency" filter on the CDE Explorer.
Recommended Metro Agencies:
State Capital Police (e.g., Austin PD, TX)
Largest City Police (e.g., Chicago PD, IL)
County Sheriffs in major metros.
Recommended Rural Agencies:
State Police / Highway Patrol (Rural sectors)
Smaller County Sheriffs.
Tribal Police (where applicable).
DEBRIEF QUESTIONS
Q1: Why did our state's property crime trend differently than our violent crime trend over the last decade? (Hint: Economics, tech/security changes).
Q2: Did the NCVS data suggest we are under-counting crime in our state? What barrier prevents victims in our local community from reporting?
Q3: How does the data challenge the "Safe Suburb vs. Dangerous City" narrative? Is it backed by the stats you found?
