Neighborhood Intel by ZIP: Crime, Walk Score, Rent
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Neighborhood Intel by ZIP: Crime, Walk Score, Rent
Investment analysis by ZIP — crime index, walk score, school rating, 3-yr rent growth, vacancy, gentrification trend, Investor Score (1-10). Top: 43215 Columbus OH — Walk 91, 8.6% rent growth, Score 9. Census ACS live data with API key.
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Andrew Avina
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Neighborhood Intelligence MCP
Demographics, school ratings, crime index, walkability, renter profile, and investor suitability scores by US ZIP code — covering 20 high-investor-interest markets with 40 curated ZIP codes.
Returns a composite Investor Score (1–10) combining rent growth, vacancy, crime, walkability, and population trends. Supports live Census ACS data when a Census API key is supplied.
What It Returns
| Field | Description |
|---|---|
zip | ZIP code |
city | City name |
state | Two-letter state code |
neighborhood | Neighborhood name or district |
population | Total population |
median_household_income | Median household income ($) |
median_home_value | Median home value ($) |
median_gross_rent | Median gross rent including utilities ($) |
renter_occupied_pct | % of occupied units that are renter-occupied |
owner_occupied_pct | % of occupied units that are owner-occupied |
vacancy_rate_pct | Residential vacancy rate (%) |
poverty_rate_pct | Population below poverty line (%) |
median_age | Median resident age |
pct_college_educated | % of adults 25+ with bachelor's degree or higher |
pct_white / pct_black / pct_hispanic | Racial/ethnic composition (%) |
population_growth_5yr_pct | Population change over 5 years (%) |
school_rating | GreatSchools rating 1–10 (district average) |
school_rating_source | Data source for school rating |
crime_index | Crime index 0–100 (lower = safer; 100 = highest crime) |
crime_index_note | Crime context and trend |
violent_crime_per_100k | Violent crime rate per 100,000 residents |
property_crime_per_100k | Property crime rate per 100,000 residents |
walk_score | Walk Score 0–100 (90+ = Walker's Paradise) |
transit_score | Transit Score 0–100 |
bike_score | Bike Score 0–100 |
top_employers | Major employers within commute distance |
rent_to_income_ratio | Median rent ÷ median income (>0.30 = rent-burdened market) |
rent_growth_3yr_pct | 3-year rent growth rate (%) |
investor_profile | Plain-English investor strategy summary |
neighborhood_trend | Gentrifying / Stable / Improving / Declining / Stabilizing |
gentrification_risk | None / Low / Low-Moderate / Moderate / Active / High / Complete |
investor_score | Composite investor score 1–10 |
investor_score_note | Key factors driving the score |
data_source | Data provenance |
Investor Score (1–10)
The composite score weights five factors:
| Factor | Weight | Notes |
|---|---|---|
| Rent growth (3yr) | High | ≥8% = +2; ≥5% = +1; ≤0% = −2 |
| Vacancy rate | Medium | ≤6% = +1; ≥14% = −2 |
| Crime index | Medium | ≤30 = +2; ≤50 = +1; ≥70 = −1; ≥85 = −2 |
| Walk Score | Low | ≥80 = +1; ≤25 = −1 |
| Population growth | Low | ≥8% = +1; ≤−3% = −1 |
A score of 8–10 = institutional-grade demand fundamentals; 5–7 = solid with manageable risks; 1–4 = distressed market requiring deep expertise.
Input Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
zip_code | string | No | Filter by specific ZIP code |
city | string | No | Filter by city name (partial match) |
state | string | No | Filter by state code (e.g., "OH", "NC") |
investor_score_min | integer | No | Minimum investor score (1–10) |
crime_index_max | integer | No | Maximum crime index (0–100) |
walk_score_min | integer | No | Minimum Walk Score |
min_median_income | number | No | Minimum median household income |
min_rent_growth_pct | number | No | Minimum 3-year rent growth % |
sort_by | string | No | Sort: investor_score (default), rent_growth, walk_score, crime_index, median_income, vacancy |
limit | integer | No | Max results (default: 20) |
census_api_key | string | No | Census API key for live ACS data on specific ZIP queries |
Get a free Census API key at api.census.gov/data/key_signup.html.
Example Inputs
Top investor ZIPs by score:
{"investor_score_min": 8,"sort_by": "investor_score","limit": 10}
All Ohio ZIPs in the database:
{"state": "OH","sort_by": "rent_growth"}
Low-crime, walkable markets only:
{"crime_index_max": 45,"walk_score_min": 70,"sort_by": "investor_score"}
Specific ZIP with live Census data:
{"zip_code": "28205","census_api_key": "your_census_key_here"}
Example Output
{"zip": "28205","city": "Charlotte","state": "NC","neighborhood": "Plaza Midwood","population": 32400,"median_household_income": 64800,"median_home_value": 420000,"median_gross_rent": 1680,"renter_occupied_pct": 52,"vacancy_rate_pct": 5.2,"poverty_rate_pct": 12,"school_rating": 7,"crime_index": 38,"violent_crime_per_100k": 480,"walk_score": 74,"transit_score": 48,"rent_to_income_ratio": 0.31,"rent_growth_3yr_pct": 9.4,"investor_profile": "High-growth appreciation market; walkable urban infill","neighborhood_trend": "Gentrifying Fast","gentrification_risk": "High","investor_score": 9,"investor_score_note": "Top Charlotte market; rent growth + migration + finance sector = exceptional demand","top_employers": "Bank of America, Wells Fargo, Duke Energy, Truist","data_source": "Curated database (ACS 2022 + city crime reports + Walk Score)"}
Markets Covered
| City | State | ZIPs | Market Type |
|---|---|---|---|
| Cleveland | OH | 44103, 44109 | Classic cash flow |
| Columbus | OH | 43204, 43215 | Growth market |
| Indianapolis | IN | 46218, 46204 | Turnkey/urban |
| Memphis | TN | 38106, 38117 | Value/quality split |
| Kansas City | MO | 64127, 64111 | BRRRR/urban |
| Charlotte | NC | 28205, 28216 | High-growth |
| Atlanta | GA | 30315 | BeltLine play |
| Nashville | TN | 37208 | Adjacency play |
| Austin | TX | 78702 | Tech/correction |
| Denver | CO | 80219 | Workforce LTR |
| Savannah | GA | 31401 | STR + appreciation |
| Birmingham | AL | 35203 | Low-tax cash flow |
| Greensboro | NC | 27401 | Workforce rental |
| Knoxville | TN | 37917 | UTK demand |
Data Sources
- US Census Bureau ACS 5-Year Estimates (2022) — demographics, income, housing, education
- City crime reports — FBI UCR/NIBRS crime data, curated by ZIP
- Walk Score — walkability, transit, and bike scores
- GreatSchools — school district ratings
- ACS 1-Year PUMS — rent growth trend estimation
Use Cases
- Neighborhood due diligence — validate property-level risk before acquisition
- Portfolio market selection — rank target markets by investor fundamentals
- AI agent investment screening — inject neighborhood data into automated deal analysis
- Tenant quality forecasting — income, education, and employment data predicts tenant stability
- Gentrification play identification — trend + crime + rent growth signals early-mover opportunity
Related Actors in the Real Estate Suite
- ../real-estate-intelligence-mcp/ — Property listings + deal scoring
- ../property-tax-intelligence-mcp/ — State/county tax rates and investment impact
- ../rentcast-market-mcp/ — LTR rent estimates and market grades
- ../mortgage-rate-intelligence-mcp/ — Current rates + affordability calculator