Some of us are all too familiar with matching services where you provide info about yourself and you get back a list of, er, interesting possibilities. But sorting data to find your ideal neighborhood match could be especially helpful when home-hunting in New York City, given the mind-boggling set of choices–it makes sense to get potential picks from things that actually exist (like parks and grocery stores), rather than being hopefully embellished. From the neighborhood data entrepreneurs at PlaceILive comes match.placeilive.com, a newly-launched lifestyle-based home finder that matches you with your ideal New York City neighborhoods based on your answers to nine quick questions.
Out of 289 NYC neighborhoods, the ones that best match your criteria are displayed in order of match mojo. Lifestyle preference questions cover exercise, grocery, weekend fun, commute time preferences and more. Then, you can explore detailed neighborhood information–including local cafes, restaurants and bars and your commute time information (including finding the best routes by foot, bike, car and public transportation) and a list of available homes for sale or rent in the area.
Last year 6sqft reported on the company’s neighborhood map tool that does a deep dive into neighborhoods in five cities (Chicago, San Francisco, New York, Berlin and London), giving you a report on amenities, crime, demographics and more using a centralized database to help people quickly find out the most important bits via their mobile app or desktop on demand. Their ‘Life Quality Index‘ (LQI) compares neighborhoods based on the real-life experiences of existing community members (feedback is very much welcomed) as well as US census data, the NYPD, the MTA, foursquare, socrata and others; you can even check out a specific block within a bigger neighborhood.
Company CEO and co-founder Sarunas Legeckas believes that tools like this one that can provide better background information on locations where you’re looking to rent, buy, or sell a home are the “future of online home search.”
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