👁 Neighborhood Intel by ZIP: Crime, Walk Score, Rent avatar

Neighborhood Intel by ZIP: Crime, Walk Score, Rent

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$5.00 / 1,000 result item returneds

👁 Neighborhood Intel by ZIP: Crime, Walk Score, Rent

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.

Pricing

$5.00 / 1,000 result item returneds

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👁 Andrew Avina

Andrew Avina

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16 days ago

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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

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