- Manhattan, Brooklyn and Queens all saw double digit drops
- Southern Cities experienced a rental boom
- Las Vegas, Tampa, Riverside, San Diego and Miami saw the biggest increases in demand vs supply in the past year
- Seattle, Washington DC, SF, Boston and Chicago saw the biggest drops
LONDON, April 13, 2021 /PRNewswire/ -- One year on from COVID, roommate site SpareRoom has looked at how the first year of the pandemic changed average rents and the balance in demand vs supply in key US metro areas. A clear trend has emerged, with southern metro areas experiencing the biggest growth in rents and demand.
The key metro areas with the biggest increase in demand vs supply, comparing Q1 2021 with Q1 2020 are:
Las Vegas +102%
San Diego +85%
San Antonio +72%
Meanwhile, these key metro areas saw the biggest drop in demand vs supply:
Washington DC -20%
San Francisco/Bay Area -14%
Chicago - 1%
Comparing average room rents paints a very similar picture, with the biggest rent increases seen in the following key metro areas:
San Diego +8%
San Antonio +6%
Las Vegas +4%
Meanwhile, rents fell most in these key metro areas:
New York -14%
San Francisco -11%
Washington DC -8%
New York is the second most expensive US metro area to rent a room in, with an average monthly room rent of $1,133, behind San Francisco/Bay Area($1,192).
NYC was hardest hit, with average rents down in every borough, with Brooklyn, Manhattan and Queens all seeing double digit rent drops.
No key neighborhoods in the NYC metro area saw rents rise. However, both Newark and The Heights (NJ) saw rent rises of 12% and 4% respectively.
8 of the 10 biggest drops across the metro area were in Manhattan, although Long Island City reported the single biggest fall:
Queens Long Island City -27%
Manhattan Chinatown -23%
Manhattan Midtown Center -22%
Manhattan Hell's Kitchen -18%
Manhattan Financial District -18%
Manhattan Upper West Side -17%
Manhattan Gramercy Park -17%
Brooklyn Bushwick -16%
Manhattan Kip's Bay -16%
Manhattan West Village -16%
Meanwhile, the neighborhoods seeing the biggest positive shift in demand vs supply were mostly in Queens, Upper Manhattan and Harlem:
New Jersey Newark +82%
Manhattan East Harlem +50%
Queens Ridgewood +49%
Manhattan Morningside Heights +29%
Manhattan Washington Heights +28%
Manhattan Harlem +27%
Queens Long Island City +26%
Brooklyn East Flatbush +24%
ManhattanCentral Park +15%
Manhattan Midtown Center +14%
SpareRoom director Matt Hutchinson comments: "A year on from COVID and it's clear to see that the big rental shift is towards southern cities and away from the north. That could simply be the pull of warmer weather, especially over the colder months, with COVID forcing us all to socialize outdoors.
But it could be that New York is losing its appeal, as remote working becomes the new norm and people seek out more space and cheaper rents. The real test will come when the hospitality, tourism and entertainment sectors can fully reopen."
If you want to link to a SpareRoom blog post summarising the above please use this link -
SpareRoom's average monthly rent data compares Q1 2021 with Q1 2020, from over 38,000 room ads in shared accommodation across the US. All metro areas/boroughs included have a sample size of 50+ in 2021, NYC neighborhoods included all have a sample size of 20+ in 2021.
Demand vs supply data is based on the number of people actively looking for rooms vs the number of live room ads in a given area (for Q1 2021). 'Actively looking for a room' is defined as the number of individuals contacting room ads in an area during the period in question. This is then compared with the same data for Q1 2020.
SpareRoom launched across the US in 2016 and has so far has helped over 1.5 million people find a room or a roommate.
 'Demand' is based on the number of people actively looking for rooms vs the number of live room ads in a given area. 'Actively looking for a room' is defined as the number of individuals contacting room ads in an area during the period in question.  Average monthly rent for a room in a shared house/apartment  Sample size in Staten Island was too low for statistical significance