About the Data

Understanding NeighborhoodScout's Data and Technology

Crime Data

NeighborhoodScout Crime Analytics use hundreds of sophisticated spatial algorithms to process 9 million+ reported crimes into nationally comparable crime data of unprecedented accuracy, with complete coverage for every neighborhood and address in America.

How You Can Use Crime Analytics:

  • Investing or lending: violent crime risk is the #1 cause of low property values in urban neighborhoods
  • Know crime risk for every address/neighborhood
  • Easily compare crime across neighborhoods with comparable crime scoring
  • Unlock crime trends and forecasts to see if any location is declining or rising

What’s Unique About NeighborhoodScout Crime?

  • Crime risk scores for each type of crime in every neighborhood:  Murder, rape, robbery, assault, burglary, theft, and motor vehicle theft
  • Up to 98% accurate neighborhood crime risk scoring
  • Seamless 100% U.S. coverage. Enter an address, get a full crime report

Where Does the Data Come From?

What We Collect
1
What we collect

Raw Data

  • 18,000+ law enforcement agencies
  • 9.4 million crime incidents
  • Full national coverage
What We Do
2
What we do

Product Building

  • Proprietary relational data base processes crimes to locations
  • 120+ crime risk models built
  • Hierarchical scale methodology, from city to neighborhood
What We Provide
3
Product Output

Product Output

  • NeighborhoodScout.com
  • Enterprise Data APIs

Demographics

Demographics shape the fates of nations, cities, and neighborhoods. NeighborhoodScout Demographic Analytics derive insights from hundreds of raw inputs to produce one-of-a-kind data patterns for population, migration, lifestyle suitability, walkability, cultural character, education, incomes, ages, employment, diversity, and more. Indexed against national averages for comparison. Coverage for every neighborhood and address in America.

How You Can Use Demographic Analytics:

  • Investing: The types of households in a neighborhood – singles versus families, and peoples’ transience, drive demand for specific kinds of apartments and houses
  • Builders, marketers and others can know the cultural character of any neighborhood, instantly
  • Takes the guess-work out of understanding any neighborhood’s wealth, sophistication, and values, assess comparables, unlock opportunity

What’s Unique About NeighborhoodScout Demographics?

  • Complete lifestyle segmentation from college student friendly, to retirement and all stages in between
  • Cultural character is quantified: urbane, hip, quiet, walkability, nautical
  • Neighborhood-specific unemployment, diversity index, and more. Seamless 100% U.S. coverage. Enter an address, get a full demographics profile report

Where Does the Data Come From?

Raw Data
1
What we collect

What We Collect

  • 8.5 million raw demographic data elements from government sources in total
  • Full national coverage
What We Do
2
What we do

Product Building

  • Dozens of custom models to build raw data into exclusive analytics
  • Gini coefficient and other sophisticated methods used to create proprietary indices and insights
  • Scaled against national benchmarks for ease of comparison
What We Provide
3
Product Output

Product Output

  • NeighborhoodScout.com
  • Enterprise Data APIs

Real Estate Data

NeighborhoodScout Real Estate Analytics provides the only micro-neighborhood housing market insights with exclusive market rent prices by number of bedrooms, house values, property taxes and effective tax rate, years of average rent needed to buy the average house, housing stock profiles, physical neighborhood setting, seasonal and year-round vacancy rates, owner/renter mixes, and more, all in one place. For every neighborhood and address in America.

How You Can Use Real Estate Analytics:

  • Buying, selling, assessing, lending:
  • Know if you are buying or lending on the biggest house in the neighborhood
  • Vacancies reveal lack of demand, housing stock shows if new construction is adding supply

What’s Unique About NeighborhoodScout Real Estate Analytics?

  • All pricing, tax, and rental values accurate to the micro-neighborhood: 10X more fine grained than the average Zip Code:
  • Exclusive market rent values modeled to exclude public housing, revealing what rents the market will support
  • Exclusive years of average rent needed to buy average home illuminates whether investing in rental property is a good or bad prospect in any neighborhood

Where Does the Data Come From?

What We Collect
1
What we collect

Raw Data

  • U.S. Geological Survey, H.U.D., FHFA, Census, additional sources
  • Full national coverage
What We Do
2
What we do

Product Building

  • Dozens of proprietary models using multi-source data
  • Cross-scalar composite modeling
  • Normalized indices for benchmarking and comparison
What We Provide
3
Product Output

Product Output

  • NeighborhoodScout.com
  • Enterprise Data APIs

Public School Ratings

NeighborhoodScout School Quality Ratings provide the only nationally comparable school quality rating available today. Promotes easy benchmarked comparison of school quality between schools, school districts, property addresses, and neighborhoods in any state or location. For every neighborhood, address, school district, and most schools in America.

How You Can Use Public School Ratings:

  • School quality is a primary driver of real estate values, and real estate in top performing attendance zones holds value in economic downturns better than low performing schools.
  • Lenders and appraisers can use the benchmarked school performance data to value assets.
  • Investors can balance risk with opportunity by including school performance in evaluations.

What’s Unique About NeighborhoodScout Public School Ratings?

  • The only nationally comparable school performance ratings available today. Patented.Lenders and appraisers can use the benchmarked school performance data to value assets.
  • 100% school district coverage•
  • 85% individual school attendance zone coverage
  • Address-specific school quality ratings
  • Neighborhood-specific school quality ratings with 100% U.S. coverage

Where Does the Data Come From?

What We Collect
1
What we collect

Raw Data

  • 103,000 public schools, 17,000 school districts, 50 states
  • National Center for Education Statistics
  • U.S. Department of Education
  • NAEP
  • 5.4 million data elements
What We Do
2
What we do

Product Building

  • Patented methodology normalizes each school to a nationally comparable performance index
  • Each U.S. address is assessed based on its school district, and the schools that serve the address, and the educational environment of its neighborhood
  • Seamless 100% U.S. coverage of neighborhood-specific school performance ratings
What We Provide
3
Product Output

Product Output

  • NeighborhoodScout.com
  • Enterprise Data APIs

Scout Vision™ Trends & Forecasts

Understand a neighborhood or address' past, present and future.

Scout Vision™ Trends & Forecasts offer the most timely and accurate home value and appreciation rate predictions across all U.S. markets, so you can confidently answer: “Should I buy, hold, or sell this property, at this location, at this time?”

Until now, most real estate investors have relied on historical appreciation rates as a “baseline” for future performance, or broad-based Zip Code- level data that doesn’t take into hyper-local, Micro-Neighborhood (your block and the few blocks immediately around you) trends. Furthermore, some data providers offer “projections” which are little more than educated guesses with no proven accuracy or basis.

These flawed and general evaluations impact investments.

Industry veterans and PhD geographers developed Scout Vision by drawing on over a decade of research and development and leveraging the latest geo-statistical techniques. As a result, Scout Vision uniquely solves for risk by generating home appreciation projections with unprecedented geographic granularity and predictive accuracy, so you can understand a location’s past, present and future and Invest with Vision™.

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