Maponics is known for providing state-of-the-art data for neighborhood polygons. Through our Neighborhood Boundaries™ product, we offer boundary data for different types of neighborhoods in urban areas.
But there are other communities where people live and work that are not so urban. To provide data about these geographies, Maponics has developed +Residential Boundaries™ – a new dataset designed to complement our Neighborhood Boundaries product. +Residential offers overwhelming residential coverage, with 100,000 U.S. boundaries and plans to expand to half a million residential boundaries by 2015.
The neighborhoods in +Residential are single use – at least 90% of each boundary consists of homes and apartment buildings. In contrast, neighborhoods in our Neighborhood Boundaries represent a mix of uses, such as service and retail businesses, homes and apartments, and public locations.
Summit Park – a town home development in the Denver metro region – is one of the areas included in Maponics +Residential Boundaries. Image source: Street View – Google Maps
Better Insight for the Real Estate Industry
In addition to providing overwhelming coverage of residential geographies, enabling real estate agents to reach more end users, +Residential gives customers a refined understanding of the use and function of the polygons in their dataset.
With +Residential, real estate portals can offer their users the chance to find homes within residential-only areas in the suburbs or bedroom communities of a metro region. This helps consumers conduct “lifestyle” property searches – that is, searching for all the locations that offer a suburban lifestyle.
Further, our residential boundaries help when analyzing the housing market by narrowing down variables. Rather than comparing home sales and values among mixed-use neighborhoods that might be different from each other, +Residential enables businesses to compare neighborhoods that are all singular in character and function. Fewer variables mean more reliable results.
The residential boundary for Summit Park in Denver.
Expanding the Concept of “Community”
+Residential Boundaries is fully compatible with the 2.0 Data Structure of Neighborhood Boundaries. Because the data in the 2.0 version of Neighborhoods is more uniform, it’s easier to add on companion datasets that extend the characterization of communities beyond urban neighborhoods. +Residential is the first of these companion products.
In the coming weeks, look for an interview with Paul Gallagher, Maponics’ Vice President of Marketing and Product Development, about our upcoming expansion of the Communities™ product family.
How do people identify where they live, work, and play? Do they reference the city? The ZIP Code? The neighborhood?
Most often, if people want to convey the character of where they spend their time – the mix of houses and businesses, the presence of public spaces, the demographic makeup – they mention the neighborhood name. Very few ZIP Codes impart these traits, and cities are often too large and diverse to provide an accurate snapshot of character.
That’s why neighborhood boundary data is critical for applications in real estate, search, direct marketing, and many other industries that target consumers and geographies in meaningful, relevant ways.
Data about the specific location and unique character of a neighborhood boundary – like this Atlanta neighborhood (Fairlie-Poplar) – helps industries target audiences effectively. Image source: Clickscape.com
Maponics is committed to offering the most extensive, accurate, and useful Neighborhood Boundary database possible. We just released the Neighborhoods 2.0 Data Structure, an enhanced version of our Neighborhood Boundaries product – one that improves functionality and enables more effective location-based targeting.
New Data Structure
- All Neighborhood Boundary products (North America, Europe, and Rest Of World) are now supported by a uniform database framework, making them easier to work with and offering greater efficiency than the previous structure allowed.
- We optimized the fields in the dataset, increasing simplicity.
- The 2.0 Data Structure has improved language support offering native, Roman, and English data fields for neighborhoods, cities, counties, and regions.
New Layer in North America: Residential Boundaries
We re-categorized neighborhoods to ensure they reflect their usage more accurately. In the 2.0 Data Structure, Sub-Neighborhoods that are over 90% residential have been reclassified as Residential boundaries.
Improved Hierarchy and Neighborhood Definitions
- Macro neighborhoods (M) adhere to clear content definitions and are present only when recognized locally.
- Neighborhoods (N) are the heart of the product; we extended coverage, minimized gaps, and conformed to quality standards.
- Sub Neighborhoods (S) are strictly controlled to ensure they fully represent smaller, locally known areas within existing Neighborhoods.
- Residential boundaries (R) are limited to geographies where people live and exclude commercial and other non-residential functions.
Increased Focus on Neighborhoods That Matter
Maponics continues to expand its Neighborhoods product as we identify and build out the areas that matter most to our customers.
Our focus is on key metros and cities worldwide as defined by measures of population, real estate and economic activity, social/tourism/travel relevance, and customer input. Within those key metros and cities, we further focus our attention on areas where people live, work, and play.
Maponics Neighborhood Boundaries shows expanded residential areas and increased coverage across all layers for the neighborhoods that matter most to our customers.
If you have any questions about Neighborhood Boundaries, don’t hesitate to contact us.