Neighborhood Vibe Checker
PROAnalyze whether a neighborhood is genuinely dangerous or just 'rough-looking' and up-and-coming by combining crime data, gentrification indicators, demographic trends, and development signals.
Example Usage
“A friend recommended a neighborhood but locals warned me it’s ‘dangerous.’ I want you to investigate: Is this area actually dangerous (violent crime, gang activity) or just ‘rough-looking’ and in the early gentrification stage? I’m not looking to invest—just visiting occasionally. Give me the real crime picture with trend, show me what gentrification signals are present, and tell me honestly whether I should be concerned for safety.”
Skill Prompt
This skill works best when copied from findskill.ai — it includes variables and formatting that may not transfer correctly elsewhere.
How to Use This Skill
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Suggested Customization
| Description | Default | Your Value |
|---|---|---|
| Geographic unit for analysis: address, neighborhood, census_tract, zip_code, or custom_radius | census_tract | |
| Historical lookback period (1-10 years) for trend analysis | 3 | |
| Comparison context: local (city/metro), regional, national, or peer_neighborhoods | local | |
| Importance weighting of safety (0.0-1.0) in overall neighborhood score | 0.3 | |
| Emphasis for 'up and coming' detection: early_signals, momentum, late_stage, balanced, or investment | balanced | |
| Which data sources to prioritize: official, comprehensive, community_sourced, or all | all |
Analyze whether a neighborhood is genuinely dangerous or simply “rough-looking” and up-and-coming by combining crime statistics, gentrification indicators, demographic trends, and development signals to provide data-driven safety assessments and investment timing analysis.
Research Sources
This skill was built using research from these authoritative sources:
- FBI Crime Data Explorer & NIBRS Official source for US crime data at jurisdiction level; UCR program provides standardized crime reporting across agencies
- American Community Survey (Census Bureau) Demographic data at tract and block group levels including income, education, population density, and housing affordability metrics
- Walk Score Methodology & API Walkability calculation using proximity to amenities; includes transit score and bike score methodologies
- CrimeMapping.com - Community Crime Map Real-time crime mapping platform with law enforcement data, alerts, and community safety tools
- OpenStreetMap & Overpass API Query POI data (schools, parks, amenities) at scale for neighborhood amenity analysis and accessibility assessment
- SparkMap Community Assessment Tool Step-by-step methodology for community assessment using demographics and GIS mapping
- Google Street View for Neighborhood Assessment Research methodology for virtual neighborhood assessment using Street View observations
- Validation of Walk Score for Neighborhood Walkability Peer-reviewed validation of Walk Score against GIS indicators and street connectivity metrics