Richmond Metro Area Historical Amount of Bedrooms in a House Data
ACS 2010-2014 data
| Richmond Area | Virginia | U.S. |
Total Housing Units | 512,296, 100% | 3,403,241 | 132,741,033 |
No Bedroom | 5,650, 1.10%, see rank | 1.46% | 2.17% |
1 Bedroom | 38,855, 7.58%, see rank | 8.47% | 11.16% |
2 Bedrooms | 117,242, 22.89%, see rank | 23.83% | 26.69% |
3 Bedrooms | 204,841, 39.98%, see rank | 39.65% | 39.70% |
4 Bedrooms | 114,403, 22.33%, see rank | 20.28% | 16.05% |
5 or More Bedrooms | 31,305, 6.11%, see rank | 6.31% | 4.22% |
ACS 2008-2012 data
| Richmond Area | Virginia | U.S. |
Total Housing Units | 531,337, 100% | 3,365,855 | 131,642,457 |
No Bedroom | 5,357, 1.01%, see rank | 1.47% | 2.16% |
1 Bedroom | 38,556, 7.26%, see rank | 8.39% | 11.12% |
2 Bedrooms | 122,924, 23.13%, see rank | 24.03% | 26.85% |
3 Bedrooms | 217,268, 40.89%, see rank | 39.58% | 39.76% |
4 Bedrooms | 116,110, 21.85%, see rank | 20.29% | 15.95% |
5 or More Bedrooms | 31,122, 5.86%, see rank | 6.24% | 4.16% |
ACS 2006-2010 data
| Richmond Area | Virginia | U.S. |
Total Housing Units | 520,660, 100% | 3,315,739 | 130,038,080 |
No Bedroom | 4,584, 0.88%, see rank | 1.17% | 1.84% |
1 Bedroom | 38,508, 7.40%, see rank | 8.40% | 11.32% |
2 Bedrooms | 121,857, 23.40%, see rank | 24.34% | 27.20% |
3 Bedrooms | 212,810, 40.87%, see rank | 39.87% | 39.80% |
4 Bedrooms | 114,010, 21.90%, see rank | 20.21% | 15.80% |
5 or More Bedrooms | 28,891, 5.55%, see rank | 6.00% | 4.04% |
ACS 2005-2009 data
| Richmond Area | Virginia | U.S. |
Total Housing Units | 505,722, 100% | 3,264,058 | 127,699,712 |
No Bedroom | 3,949, 0.78%, see rank | 0.99% | 1.66% |
1 Bedroom | 37,422, 7.40%, see rank | 8.43% | 11.48% |
2 Bedrooms | 118,634, 23.46%, see rank | 24.64% | 27.48% |
3 Bedrooms | 207,505, 41.03%, see rank | 40.11% | 39.79% |
4 Bedrooms | 111,005, 21.95%, see rank | 20.07% | 15.64% |
5 or More Bedrooms | 27,207, 5.38%, see rank | 5.76% | 3.94% |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.