24066 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 24066 Zip Code | Virginia | U.S. |
Total Housing Units | 2,453, 100% | 3,403,241 | 132,741,033 |
1 Room | 25, 1.02%, see rank | 1.33% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.73% | 2.48% |
3 Rooms | 72, 2.94%, see rank | 6.92% | 9.13% |
4 Rooms | 316, 12.88%, see rank | 14.48% | 16.60% |
5 Rooms | 526, 21.44%, see rank | 17.82% | 20.41% |
6 Rooms | 478, 19.49%, see rank | 16.80% | 18.06% |
7 Rooms | 499, 20.34%, see rank | 13.06% | 12.27% |
8 Rooms | 247, 10.07%, see rank | 10.92% | 8.48% |
9 Rooms or More | 290, 11.82%, see rank | 16.94% | 10.60% |
Median Rooms | 6.10, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 24066 Zip Code | Virginia | U.S. |
Total Housing Units | 2,352, 100% | 3,365,855 | 131,642,457 |
1 Room | 15, 0.64%, see rank | 1.33% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.65% | 2.36% |
3 Rooms | 49, 2.08%, see rank | 6.83% | 8.97% |
4 Rooms | 316, 13.44%, see rank | 14.53% | 16.57% |
5 Rooms | 574, 24.40%, see rank | 17.75% | 20.41% |
6 Rooms | 431, 18.32%, see rank | 17.02% | 18.25% |
7 Rooms | 444, 18.88%, see rank | 13.22% | 12.38% |
8 Rooms | 311, 13.22%, see rank | 11.02% | 8.59% |
9 Rooms or More | 212, 9.01%, see rank | 16.65% | 10.52% |
Median Rooms | 6.00, see rank | 6.00 | 5.50 |
US Census 2000 data
| 24066 Zip Code | Virginia | U.S. |
Total Housing Units | 2,104, 100% | 2,904,192 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.17% | 2.20% |
2 Rooms | 8, 0.38%, see rank | 3.21% | 4.81% |
3 Rooms | 39, 1.85%, see rank | 7.07% | 9.84% |
4 Rooms | 293, 13.93%, see rank | 14.11% | 15.97% |
5 Rooms | 555, 26.38%, see rank | 19.23% | 20.89% |
6 Rooms | 522, 24.81%, see rank | 17.71% | 18.45% |
7 Rooms | 298, 14.16%, see rank | 13.66% | 12.06% |
8 Rooms | 241, 11.45%, see rank | 11.23% | 8.06% |
9 Rooms or More | 148, 7.03%, see rank | 12.60% | 7.70% |
Median Rooms | 5.80, 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.