Demographic City Maps

Hoodmaps Sorts Neighborhood Based on the Types of People Seen in Them

Every city has its own cultural flavor, and Hoodmaps is a site dedicated to depicting that unique mix. The site organizes cities based on six common urban demographics, giving users a shorthand reference for the makeup of every city that's included based on its geography.

Hoodmaps' city maps are divided into six categories: Uni, Hipsters, Tourists, Rich, Suits, and Normies. Each of these categories, which the site believes to sort the people in a city, is assigned a different color. Hoodmaps then crowdsources the work of sorting through the different neighborhoods, allowing locals to input where they see different people and color-coding the maps in kind.

Beyond the basic demographic categorizations, Hoodmaps lets users input added text that can be tagged to different areas, noting things like "Chinatown," "Post-Hipster," "Post-Post-Hispter," or "Loud."
Trend Themes
1. Demographic City Mapping - Technology can enable more accurate mapping of neighborhood demographics, providing opportunities for targeted marketing and community building initiatives.
2. Crowdsourced Urban Data Collection - Crowdsourcing urban demographic data creates opportunities for more accurate and up-to-date city planning, real estate development, and prioritization of public services.
3. Hyperlocal Cultural Insights - Access to hyperlocal cultural insights can enable businesses, event planners, and community organizations to tailor their offerings and messaging to specific neighborhood demographics.
Industry Implications
1. Market Research - Market research firms can adopt demographic city mapping to provide clients with more detailed information about consumer behaviors across different neighborhoods.
2. Real Estate - Real estate developers and agents can leverage demographic city mapping to identify up-and-coming areas, forecast property values, and target their marketing to specific neighborhoods.
3. Local Government - Local governments can use crowdsourced demographic data to better understand and serve their constituents, from improving public transportation to allocating funding for neighborhood services.

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