By leveraging US census data in CARTO's Data Observatory, researchers have been able to visualize Airbnb's impact on neighborhoods at a block-by-block level. The analysis reveals that while Airbnb listings are concentrated in centrally-located city areas, their effect on neighborhoods is more nuanced, with high-density neighborhoods like Manhattan's Upper East Side and Lower East Side experiencing lower rates of Airbnb listings per square mile due to existing large stock of apartments. In contrast, lower-density neighborhoods like Brooklyn's Williamsburg and Greenpoint are more susceptible to impact from Airbnb listings. The study also found that areas with high profitability clusters, such as Chinatown and Manhattan Valley, have median Airbnb listing prices that cost 25% of median rent, allowing residents to easily pay a month's rent in just four days. These findings provide new insights into the effects of the sharing economy on neighborhoods and can be applied to other cities across the US.