22923 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 22923 Zip Code | Virginia | U.S. |
Total Housing Units | 1,999, 100% | 3,403,241 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.33% | 1.95% |
2 Rooms | 55, 2.75%, see rank | 1.73% | 2.48% |
3 Rooms | 61, 3.05%, see rank | 6.92% | 9.13% |
4 Rooms | 290, 14.51%, see rank | 14.48% | 16.60% |
5 Rooms | 295, 14.76%, see rank | 17.82% | 20.41% |
6 Rooms | 433, 21.66%, see rank | 16.80% | 18.06% |
7 Rooms | 248, 12.41%, see rank | 13.06% | 12.27% |
8 Rooms | 213, 10.66%, see rank | 10.92% | 8.48% |
9 Rooms or More | 404, 20.21%, see rank | 16.94% | 10.60% |
Median Rooms | 6.20, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 22923 Zip Code | Virginia | U.S. |
Total Housing Units | 2,034, 100% | 3,365,855 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.33% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.65% | 2.36% |
3 Rooms | 35, 1.72%, see rank | 6.83% | 8.97% |
4 Rooms | 231, 11.36%, see rank | 14.53% | 16.57% |
5 Rooms | 364, 17.90%, see rank | 17.75% | 20.41% |
6 Rooms | 486, 23.89%, see rank | 17.02% | 18.25% |
7 Rooms | 280, 13.77%, see rank | 13.22% | 12.38% |
8 Rooms | 180, 8.85%, see rank | 11.02% | 8.59% |
9 Rooms or More | 458, 22.52%, see rank | 16.65% | 10.52% |
Median Rooms | 6.30, see rank | 6.00 | 5.50 |
US Census 2000 data
| 22923 Zip Code | Virginia | U.S. |
Total Housing Units | 1,386, 100% | 2,904,192 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.17% | 2.20% |
2 Rooms | 18, 1.30%, see rank | 3.21% | 4.81% |
3 Rooms | 52, 3.75%, see rank | 7.07% | 9.84% |
4 Rooms | 125, 9.02%, see rank | 14.11% | 15.97% |
5 Rooms | 352, 25.40%, see rank | 19.23% | 20.89% |
6 Rooms | 228, 16.45%, see rank | 17.71% | 18.45% |
7 Rooms | 197, 14.21%, see rank | 13.66% | 12.06% |
8 Rooms | 245, 17.68%, see rank | 11.23% | 8.06% |
9 Rooms or More | 169, 12.19%, see rank | 12.60% | 7.70% |
Median Rooms | 6.10, see rank | 5.80 | 5.30 |
* 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.