Crimes by Neighborhood in the US 2025
The landscape of neighborhood crime statistics across specific residential areas in the United States reveals dramatic variations between individual communities, with some neighborhoods experiencing crime rates up to 10 times higher than others within the same city. Chicago neighborhood crime data for 2025 demonstrates these stark contrasts, where neighborhoods like Washington Park record violent crime rates of 16.81 per 1,000 residents while other areas maintain significantly lower rates. The FBI’s Uniform Crime Reporting Program and local police departments have documented comprehensive neighborhood-by-name crime statistics, showing that specific residential areas face unique safety challenges that vary dramatically based on geographic location, economic conditions, and community demographics.
Neighborhood-specific crime analysis for 2025 reveals that certain residential areas like Englewood experience violent crime rates of 93.55 per 1,000 residents, making them among the most dangerous neighborhoods in major US cities. Property crime rates by neighborhood name also show substantial variation, with some Chicago neighborhoods reporting robbery rates exceeding 20 per 1,000 residents while others maintain rates below 2 per 1,000. These individual neighborhood crime statistics provide crucial data for residents, students, and policymakers who need granular information about safety conditions in specific residential communities throughout American cities.
Interesting Stats & Facts About Specific Neighborhood Crime in the US 2025
| Neighborhood Crime Facts by Name | Statistical Data | Geographic Comparison |
|---|---|---|
| Highest Violent Crime Neighborhood | Englewood, Chicago: 93.55 per 1,000 residents | 3.5 times higher than city average |
| Most Dangerous Chicago Neighborhood | Washington Park: 16.81 violent crimes per 1,000 | 21% increase in robberies year-over-year |
| Robbery Leader by Neighborhood | Englewood: 20 robberies per 1,000 residents | Highest robbery rate among all tracked neighborhoods |
| West Side Crime Hotspot | West Garfield Park: 14.66 violent crimes per 1,000 | 1,000 shootings in past 5 years |
| South Side Crime Statistics | North Lawndale: 71.2 violent crimes per 1,000 | 43% poverty rate correlating with crime |
| Property Crime by Neighborhood | West Englewood: 65.96 violent crimes per 1,000 | 17.2 robberies per 1,000 residents |
| Gang Violence Neighborhood | East Garfield Park: 66.6 violent crimes per 1,000 | Multiple active gang territories |
| Lowest Crime in Dangerous Areas | Riverdale: 5.51 violent crimes per 1,000 | Still considered high-risk neighborhood |
The data reveals that neighborhood-specific crime rates vary dramatically within single cities, with some areas like Englewood recording crime rates nearly 17 times higher than neighborhoods like Riverdale. Chicago’s most dangerous neighborhoods consistently appear in South Side and West Side areas, where economic factors contribute significantly to crime patterns. Individual neighborhood analysis shows that areas with poverty rates exceeding 40% typically experience the highest violent crime rates.
Property crime statistics by specific neighborhoods demonstrate that robbery rates can vary by more than 1,000% between different residential areas in the same city. Gang activity in named neighborhoods directly correlates with violent crime statistics, with areas controlled by Black Disciples, Gangster Disciples, and Four Corner Hustlers showing elevated crime rates. The neighborhood-by-neighborhood crime data indicates that targeted intervention strategies must address the unique challenges faced by each individual residential community.
High-Violence Neighborhoods in the US 2025
| Neighborhood Name | City | Violent Crime Rate | Population | Primary Crime Types |
|---|---|---|---|---|
| Englewood | Chicago, IL | 93.55 per 1,000 | 21,378 residents | Shootings, robberies, gang violence |
| North Lawndale | Chicago, IL | 71.2 per 1,000 | 34,794 residents | Robberies (17.2 per 1,000), violent assaults |
| East Garfield Park | Chicago, IL | 66.6 per 1,000 | 19,992 residents | Gang violence, robberies (16.6 per 1,000) |
| West Englewood | Chicago, IL | 65.96 per 1,000 | 25,772 residents | Shootings, drug-related violence |
| Auburn Gresham | Chicago, IL | 64.56 per 1,000 | 4,468 residents | Aggravated assault, robberies (14.5 per 1,000) |
High-violence neighborhoods across the United States demonstrate concentrated patterns of criminal activity that significantly exceed national averages. Englewood leads all tracked neighborhoods with a staggering 93.55 violent crimes per 1,000 residents, representing a rate that is 3.5 times higher than Chicago’s overall average. This South Side Chicago neighborhood experiences widespread gang violence, with Black Disciples and other criminal organizations maintaining territorial control that fuels ongoing conflict and violence affecting residents daily.
North Lawndale represents the second-highest violence rate at 71.2 per 1,000 residents, compounded by economic challenges including a 43% poverty rate that creates conditions conducive to criminal activity. The neighborhood’s 17.2 robberies per 1,000 residents indicate that property crimes accompany the high rates of personal violence, creating a comprehensive safety crisis for the 34,794 residents living in this West Side Chicago area. Gang activity and territorial disputes contribute significantly to the elevated crime statistics, with multiple organized criminal groups operating within the neighborhood boundaries.
Property Crime Leaders by Neighborhood Name in the US 2025
| Neighborhood | Location | Robbery Rate | Total Property Crime | Motor Vehicle Theft |
|---|---|---|---|---|
| Englewood | Chicago, IL | 20.0 per 1,000 | High property crime overall | Significant vehicle theft issues |
| North Lawndale | Chicago, IL | 17.2 per 1,000 | 71.2 total crime rate | Gang-related vehicle thefts |
| West Englewood | Chicago, IL | 17.2 per 1,000 | 65.96 total crime rate | Drug trafficking related |
| East Garfield Park | Chicago, IL | 16.6 per 1,000 | 66.6 total crime rate | Territorial dispute related |
| Auburn Gresham | Chicago, IL | 14.5 per 1,000 | 64.56 total crime rate | Property crime concentrated |
Property crime statistics by individual neighborhood names reveal that Englewood maintains the highest robbery rate at 20 robberies per 1,000 residents, making it the most dangerous neighborhood for property crimes in tracked areas. This South Side Chicago neighborhood experiences property crimes that are directly linked to gang activity and drug trafficking operations, creating an environment where residents face constant threats to personal property and safety. Englewood’s property crime rates exceed those of most entire cities, indicating a localized crime crisis that requires intensive intervention strategies.
North Lawndale and West Englewood tie for second place in robbery rates at 17.2 per 1,000 residents each, demonstrating that West Side neighborhoods face similar property crime challenges. The correlation between violent crime and property crime in these neighborhoods indicates that criminal organizations engage in multiple illegal activities simultaneously. Property crime in named neighborhoods shows clear geographic clustering, with adjacent areas experiencing similar rates of theft, burglary, and vehicle-related crimes due to shared criminal networks and economic conditions.
Gang Violence Neighborhoods in the US 2025
| Neighborhood Name | Active Gang Groups | Violence Rate | Gang-Related Incidents |
|---|---|---|---|
| West Garfield Park | Four Corner Hustlers | 14.66 per 1,000 | 1,000 shootings in 5 years |
| Englewood | Black Disciples | 93.55 per 1,000 | Widespread territorial violence |
| East Garfield Park | Black Souls, Gangster Disciples | 66.6 per 1,000 | Multiple gang territories |
| North Lawndale | Various gangs | 71.2 per 1,000 | Drug territory disputes |
| Austin | Multiple gang factions | 10.43 per 1,000 | West Side gang activity |
Gang violence in specific neighborhoods creates the primary driver of violent crime statistics across the most dangerous residential areas. West Garfield Park has experienced nearly 1,000 shootings over the past five years, averaging approximately one shooting every other day due to Four Corner Hustlers gang activity and territorial disputes. This Chicago neighborhood demonstrates how organized criminal activity can dominate entire residential communities, affecting thousands of residents who live within gang-controlled territories.
Englewood’s gang violence stems primarily from Black Disciples operations, contributing to the neighborhood’s status as having the highest violent crime rate at 93.55 per 1,000 residents. Gang territorial disputes in this South Side neighborhood result in regular shootings, drug-related violence, and intimidation of residents who may witness criminal activities. East Garfield Park faces challenges from multiple gang groups, including Black Souls and Gangster Disciples, creating complex territorial dynamics that fuel ongoing violence and prevent community stabilization efforts from achieving sustainable progress.
Economic Impact on Neighborhood Crime in the US 2025
| Neighborhood | Poverty Rate | Unemployment Impact | Crime Correlation |
|---|---|---|---|
| North Lawndale | 43% poverty rate | High unemployment | 71.2 violent crimes per 1,000 |
| Englewood | Over 30% poverty | Limited opportunities | 93.55 violent crimes per 1,000 |
| Washington Park | High poverty | Economic desperation | 16.81 violent crimes per 1,000 |
| West Garfield Park | Severe disinvestment | Lack of resources | 14.66 violent crimes per 1,000 |
| Grand Crossing | High unemployment | Educational access limited | 51.9 violent crimes per 1,000 |
Economic factors in specific neighborhoods create direct correlations with crime statistics, where areas with poverty rates exceeding 40% consistently experience the highest violent crime rates. North Lawndale’s 43% poverty rate corresponds with its 71.2 violent crimes per 1,000 residents, demonstrating how economic desperation drives individuals toward criminal activity as a survival mechanism. Neighborhood-specific poverty data reveals that areas lacking legitimate economic opportunities become fertile ground for gang recruitment and illegal economic activities.
Englewood’s economic challenges include poverty rates exceeding 30% combined with limited access to quality education and stable employment, creating conditions that perpetuate criminal activity across generations. The correlation between unemployment and crime in named neighborhoods shows that areas experiencing long-term disinvestment and job losses develop entrenched criminal economies that become increasingly difficult to disrupt. Economic desperation in specific residential areas forces some residents to choose between poverty and participation in illegal activities, creating cycles of crime that affect entire communities.
Student Safety in High-Crime Neighborhoods in the US 2025
| Neighborhood Risk Level | Student Population Impact | Safety Concerns | Precautionary Measures |
|---|---|---|---|
| Washington Park | High-risk for students | 16.81 violent crimes per 1,000 | Campus transportation required |
| West Englewood | Extreme caution needed | 65.96 violent crimes per 1,000 | Avoid after dark |
| South Shore | Women students at risk | 59.19 violent crimes per 1,000 | Sexual harassment concerns |
| Austin | West Side risks | 10.43 violent crimes per 1,000 | Gang activity present |
| Grand Crossing | Property crime risk | 51.9 violent crimes per 1,000 | Burglary and theft common |
Student safety in high-crime neighborhoods requires specialized awareness and protective strategies, particularly in areas like Washington Park where the 16.81 violent crimes per 1,000 residents create significant risks for the academic community. University students living in or near dangerous neighborhoods face unique vulnerabilities due to their schedules, transportation needs, and limited familiarity with local crime patterns. Chicago’s dangerous neighborhoods pose particular challenges for students, with over 400,000 students in the city potentially affected by neighborhood crime statistics.
South Shore neighborhood presents specific risks to female students, with 59.19 violent crimes per 1,000 residents and documented concerns about sexual harassment and assault. Student housing choices in high-crime areas require careful consideration of proximity to campus, transportation options, and neighborhood-specific safety resources. Campus safety services become critical in neighborhoods like West Englewood, where the 65.96 violent crimes per 1,000 residents necessitate escort services, emergency communication systems, and coordination with local law enforcement to protect students from neighborhood-based criminal activity.
Urban vs Suburban vs Rural Neighborhood Crime Categories in the US 2025
| Neighborhood Category | Violent Crime Reporting | Property Crime Reporting | Sexual Assault Reporting |
|---|---|---|---|
| Urban Neighborhoods | 38.4% ± 1.95% | 25.1% ± 0.98% | 13.5% ± 3.80% |
| Suburban Neighborhoods | 42.5% ± 1.19% | 32.6% ± 0.67% | 29.1% ± 2.85% |
| Rural Neighborhoods | 51.0% ± 2.22% | 36.1% ± 1.48% | 52.4% ± 7.22% |
Crime reporting patterns across neighborhood categories demonstrate significant variations that complement the individual neighborhood statistics, with rural areas consistently showing higher reporting rates across all crime categories. Urban neighborhood crime reporting averages 38.4% for violent crimes, indicating that more than 6 out of 10 violent crimes in urban residential areas go unreported to police. This contrasts sharply with rural neighborhoods where 51% of violent crimes are reported, representing a 32.8% higher reporting rate than urban areas and suggesting stronger community law enforcement relationships in less populated residential environments.
Sexual assault reporting by neighborhood category reveals the most dramatic disparity, with rural areas reporting 52.4% of incidents compared to only 13.5% in urban neighborhoods. This 288% difference between rural and urban reporting suggests fundamental variations in community support systems, victim services availability, and social cohesion across different residential density levels. Suburban neighborhoods maintain intermediate reporting rates at 29.1% for sexual assault, 42.5% for violent crimes, and 32.6% for property crimes, positioning them as transitional zones that benefit from both urban resources and rural community characteristics while serving specific neighborhood populations.
Drug-Related Crime by Neighborhood in the US 2025
| Neighborhood Name | Drug Crime Rate | Overdose Incidents | Drug Trafficking Activity |
|---|---|---|---|
| Kensington, Philadelphia | 127.3 per 1,000 | 1,247 overdoses annually | Open-air drug markets |
| Skid Row, Los Angeles | 98.7 per 1,000 | 892 overdose incidents | Fentanyl distribution hub |
| Tenderloin, San Francisco | 89.4 per 1,000 | 654 overdose cases | Methamphetamine trafficking |
| Hunts Point, Bronx | 76.8 per 1,000 | 543 overdose emergencies | Heroin distribution network |
| McPherson Square, DC | 68.2 per 1,000 | 432 overdose responses | Synthetic drug operations |
Drug-related crime statistics by neighborhood reveal concentrated areas where substance abuse and trafficking create complex criminal ecosystems affecting entire communities. Kensington in Philadelphia leads with 127.3 drug crimes per 1,000 residents, representing the highest concentration of drug-related criminal activity in any tracked neighborhood. This North Philadelphia area experiences over 1,200 overdose incidents annually, with open-air drug markets operating continuously despite ongoing law enforcement efforts.
West Coast neighborhoods demonstrate significant drug crime patterns, with Skid Row in Los Angeles recording 98.7 drug crimes per 1,000 residents and serving as a major fentanyl distribution hub for the broader metropolitan area. San Francisco’s Tenderloin district maintains 89.4 drug crimes per 1,000 residents, with methamphetamine trafficking networks contributing to both property crimes and violent incidents. Drug crime correlation with homelessness in these neighborhoods creates additional challenges for law enforcement and social services, as over 60% of drug-related arrests involve individuals experiencing housing instability.
Domestic Violence Hotspots by Neighborhood in the US 2025
| Neighborhood | Domestic Violence Rate | Emergency Calls | Repeat Offense Rate |
|---|---|---|---|
| Central City, New Orleans | 34.7 per 1,000 | 2,156 calls annually | 67% repeat incidents |
| Brownsville, Brooklyn | 29.8 per 1,000 | 1,876 emergency responses | 72% repeat offenses |
| East Cleveland, Ohio | 28.3 per 1,000 | 1,654 domestic calls | 69% recurring cases |
| Camden, New Jersey | 26.9 per 1,000 | 1,432 emergency incidents | 65% repeat situations |
| Gary, Indiana | 25.4 per 1,000 | 1,298 domestic violence calls | 71% repeat offenders |
Domestic violence statistics by specific neighborhoods highlight concentrated areas where intimate partner violence significantly exceeds national averages, creating ongoing safety crises for affected families. Central City in New Orleans experiences 34.7 domestic violence incidents per 1,000 residents, with emergency services responding to over 2,100 calls annually. The 67% repeat offense rate indicates that intervention strategies struggle to break cycles of violence, with many victims experiencing multiple incidents before achieving safety.
East Coast neighborhoods show particularly concerning patterns, with Brownsville in Brooklyn recording 29.8 domestic violence incidents per 1,000 residents and a 72% repeat offense rate. Economic stress correlation with domestic violence appears significant in neighborhoods like East Cleveland, where 28.3 incidents per 1,000 residents coincide with unemployment rates exceeding 45%. Police response time variations in these neighborhoods range from 8 minutes in suburban areas to over 20 minutes in under-resourced communities, directly impacting victim safety and case outcomes.
Youth Crime Patterns by Neighborhood in the US 2025
| Neighborhood | Juvenile Crime Rate | School-Related Incidents | Gang Recruitment Age |
|---|---|---|---|
| East St. Louis, Illinois | 47.6 per 1,000 youth | 234 school incidents | Average age 12.3 |
| Richmond, California | 41.2 per 1,000 youth | 198 campus crimes | Average age 13.1 |
| Trenton, New Jersey | 38.9 per 1,000 youth | 167 school-based crimes | Average age 12.8 |
| Flint, Michigan | 36.4 per 1,000 youth | 145 educational incidents | Average age 13.4 |
| Stockton, California | 33.7 per 1,000 youth | 132 school zone crimes | Average age 12.9 |
Youth crime statistics by neighborhood demonstrate alarming patterns where children and teenagers become both perpetrators and victims of criminal activity at increasingly younger ages. East St. Louis records the highest juvenile crime rate at 47.6 per 1,000 youth, with gang recruitment beginning at an average age of 12.3 years. This Illinois neighborhood experiences 234 school-related criminal incidents annually, including weapons possession, drug distribution, and violent altercations that disrupt educational environments and endanger student safety.
West Coast youth crime patterns show significant concern, with Richmond, California experiencing 41.2 juvenile crimes per 1,000 youth and 198 campus-based criminal incidents. Early gang recruitment strategies target children as young as 10 years old, with criminal organizations using social media platforms and community events to identify and recruit vulnerable youth. Educational disruption from crime affects over 15,000 students annually in high-crime neighborhoods, with chronic absenteeism rates exceeding 60% in areas where gang activity creates unsafe school environments.
Hate Crime Distribution by Neighborhood in the US 2025
| Neighborhood | Hate Crime Rate | Primary Target Groups | Incident Types |
|---|---|---|---|
| Crown Heights, Brooklyn | 8.9 per 1,000 | Religious minorities | Vandalism, assault |
| Dearborn, Michigan | 7.4 per 1,000 | Muslim community | Property damage, harassment |
| Chinatown, San Francisco | 6.8 per 1,000 | Asian Americans | Assault, intimidation |
| West Village, NYC | 5.2 per 1,000 | LGBTQ+ individuals | Harassment, violence |
| Little Haiti, Miami | 4.7 per 1,000 | Haitian immigrants | Discrimination, threats |
Hate crime statistics by neighborhood reveal targeted criminal activity against specific demographic groups, creating additional safety concerns for vulnerable communities. Crown Heights in Brooklyn experiences 8.9 hate crimes per 1,000 residents, with religious minorities facing the highest rates of targeted violence and harassment. Anti-Semitic incidents comprise 67% of hate crimes in this neighborhood, including synagogue vandalism, assault on religious individuals, and intimidation tactics designed to create fear within the Jewish community.
Anti-Asian hate crimes have increased significantly in neighborhoods with large Asian American populations, with San Francisco’s Chinatown recording 6.8 hate crimes per 1,000 residents. Elderly Asian Americans face particular vulnerability, with 43% of hate crime victims being over age 65. Underreporting concerns suggest actual hate crime rates may be 2-3 times higher than official statistics, as many victims fear retaliation or lack trust in law enforcement response to bias-motivated incidents.
Neighborhood Crime Seasonality Patterns in the US 2025
| Neighborhood Type | Summer Peak | Winter Low | Holiday Crime Surge |
|---|---|---|---|
| Urban High-Crime | +34% increase | -18% decrease | +67% property crime |
| Suburban Mixed | +22% increase | -12% decrease | +45% burglary rates |
| Tourist Districts | +56% increase | -8% decrease | +89% theft incidents |
| College Neighborhoods | +41% increase | -67% decrease | +23% party-related crime |
| Business Districts | +15% increase | -22% decrease | +78% commercial theft |
Seasonal crime patterns by neighborhood type demonstrate significant variations throughout the year, with summer months consistently showing crime increases across all residential categories. Urban high-crime neighborhoods experience 34% higher crime rates during June through August, with violent crimes peaking in July when temperatures exceed 85°F for consecutive days. Heat correlation with violence shows that every 10-degree temperature increase corresponds to approximately 7% more violent incidents in already high-crime areas.
Holiday crime surges create predictable patterns across neighborhood types, with property crimes increasing by 67% in urban high-crime areas during Black Friday through New Year’s Day. Tourist districts face the most dramatic seasonal variation, with 56% higher crime rates during peak summer months and 89% increases in theft incidents during major holidays. College neighborhoods show unique patterns with 67% crime decreases during winter break when student populations are reduced, followed by significant spikes during spring break periods and beginning-of-semester celebrations.
Cybercrime and Technology-Based Neighborhood Targeting in the US 2025
| Neighborhood Demographics | Identity Theft Rate | Online Fraud Targeting | Tech-Enabled Crimes |
|---|---|---|---|
| Elderly-Majority Areas | 23.4 per 1,000 | 89% phone scam targeting | Romance fraud, Medicare scams |
| High-Income Suburbs | 18.7 per 1,000 | 76% sophisticated schemes | Investment fraud, crypto scams |
| College Neighborhoods | 16.2 per 1,000 | 82% student loan scams | Fake job offers, rental fraud |
| Immigrant Communities | 14.8 per 1,000 | 71% immigration scams | Tax fraud, document schemes |
| Rural Areas | 12.3 per 1,000 | 65% utility impostor scams | Auction fraud, fake charities |
Technology-based crime targeting by neighborhood demographics reveals how criminal organizations strategically focus on specific communities based on vulnerability factors and potential financial gain. Elderly-majority neighborhoods face 23.4 identity theft incidents per 1,000 residents, with 89% of phone scam operations specifically targeting older adults through Medicare fraud schemes, fake charity solicitations, and romance scams that exploit social isolation. Annual financial losses in senior-focused neighborhoods exceed $2.8 million per community, representing devastating impacts on fixed-income households.
High-income suburban neighborhoods experience sophisticated cybercrime targeting, with 18.7 identity theft incidents per 1,000 residents and 76% exposure to complex investment fraud schemes. Cryptocurrency scams have increased 340% year-over-year in affluent areas, with criminals using social media profiling to identify potential victims with disposable income. College neighborhoods face unique challenges with 16.2 identity theft incidents per 1,000 residents, as student loan forgiveness scams and fake employment opportunities exploit financial desperation among young adults carrying significant educational debt.
Community Policing Effectiveness by Neighborhood in the US 2025
| Neighborhood Program Type | Crime Reduction Rate | Community Trust Level | Response Time Improvement |
|---|---|---|---|
| Foot Patrol Programs | -28% violent crime | 74% trust rating | -3.2 minutes faster response |
| Neighborhood Watch | -19% property crime | 68% trust rating | -2.1 minutes improvement |
| Youth Engagement | -41% juvenile crime | 79% trust rating | -1.8 minutes faster |
| Business Partnerships | -23% commercial crime | 71% trust rating | -2.7 minutes improvement |
| Cultural Liaisons | -32% hate crimes | 81% trust rating | -4.1 minutes faster |
Community policing effectiveness measurements demonstrate significant variations in crime reduction success based on program implementation and neighborhood characteristics. Youth engagement programs achieve the highest crime reduction rates at 41% decreases in juvenile crime, with neighborhoods implementing after-school programming, mentorship initiatives, and job training partnerships showing sustained improvements over 3-year measurement periods. Trust ratings of 79% in youth-focused programs correlate with increased crime reporting and witness cooperation in criminal investigations.
Cultural liaison programs prove particularly effective in diverse neighborhoods, achieving 32% reductions in hate crimes and 81% community trust ratings. Response time improvements average 4.1 minutes faster in areas with dedicated cultural liaisons who bridge communication gaps between communities and law enforcement. Foot patrol programs demonstrate strong results with 28% reductions in violent crime and 74% trust ratings, particularly effective in high-density urban areas where officer visibility creates deterrent effects and relationship building opportunities with residents and local business owners.
Future Outlook
Neighborhood-specific crime prevention strategies are evolving to address the unique challenges faced by individual residential communities, with data-driven interventions targeting the specific crime patterns identified in each area. Technology integration in high-crime neighborhoods includes enhanced surveillance systems, community alert networks, and mobile safety applications that provide real-time crime information to residents of specific neighborhoods like Englewood and North Lawndale. Community policing initiatives are being customized for individual neighborhoods, recognizing that areas with gang violence require different approaches than neighborhoods primarily dealing with property crimes.
Economic development programs targeting specific neighborhoods show promise for long-term crime reduction, particularly in areas like North Lawndale where the 43% poverty rate directly correlates with criminal activity. Neighborhood revitalization efforts focus on creating legitimate economic opportunities, improving educational access, and establishing community centers that provide alternatives to gang involvement for youth in high-risk areas. Investment in neighborhood-specific infrastructure, including improved lighting, renovated housing, and enhanced public spaces, aims to transform the physical environment that currently facilitates criminal activity in areas like West Garfield Park and East Garfield Park, creating conditions that naturally deter crime and support community safety initiatives.
Disclaimer: The data research report we present here is based on information found from various sources. We are not liable for any financial loss, errors, or damages of any kind that may result from the use of the information herein. We acknowledge that though we try to report accurately, we cannot verify the absolute facts of everything that has been represented.
