24273 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 24273 Zip Code | Virginia | U.S. |
Total Housing Units | 2,941, 100% | 3,403,241 | 132,741,033 |
1 Room | 27, 0.92%, see rank | 1.33% | 1.95% |
2 Rooms | 23, 0.78%, see rank | 1.73% | 2.48% |
3 Rooms | 243, 8.26%, see rank | 6.92% | 9.13% |
4 Rooms | 650, 22.10%, see rank | 14.48% | 16.60% |
5 Rooms | 605, 20.57%, see rank | 17.82% | 20.41% |
6 Rooms | 520, 17.68%, see rank | 16.80% | 18.06% |
7 Rooms | 421, 14.31%, see rank | 13.06% | 12.27% |
8 Rooms | 232, 7.89%, see rank | 10.92% | 8.48% |
9 Rooms or More | 220, 7.48%, see rank | 16.94% | 10.60% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 24273 Zip Code | Virginia | U.S. |
Total Housing Units | 2,917, 100% | 3,365,855 | 131,642,457 |
1 Room | 40, 1.37%, see rank | 1.33% | 1.95% |
2 Rooms | 25, 0.86%, see rank | 1.65% | 2.36% |
3 Rooms | 222, 7.61%, see rank | 6.83% | 8.97% |
4 Rooms | 502, 17.21%, see rank | 14.53% | 16.57% |
5 Rooms | 730, 25.03%, see rank | 17.75% | 20.41% |
6 Rooms | 651, 22.32%, see rank | 17.02% | 18.25% |
7 Rooms | 325, 11.14%, see rank | 13.22% | 12.38% |
8 Rooms | 238, 8.16%, see rank | 11.02% | 8.59% |
9 Rooms or More | 184, 6.31%, see rank | 16.65% | 10.52% |
Median Rooms | 5.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 24273 Zip Code | Virginia | U.S. |
Total Housing Units | 3,031, 100% | 2,904,192 | 115,904,641 |
1 Room | 34, 1.12%, see rank | 1.17% | 2.20% |
2 Rooms | 83, 2.74%, see rank | 3.21% | 4.81% |
3 Rooms | 188, 6.20%, see rank | 7.07% | 9.84% |
4 Rooms | 696, 22.96%, see rank | 14.11% | 15.97% |
5 Rooms | 813, 26.82%, see rank | 19.23% | 20.89% |
6 Rooms | 476, 15.70%, see rank | 17.71% | 18.45% |
7 Rooms | 402, 13.26%, see rank | 13.66% | 12.06% |
8 Rooms | 194, 6.40%, see rank | 11.23% | 8.06% |
9 Rooms or More | 145, 4.78%, see rank | 12.60% | 7.70% |
Median Rooms | 5.10, 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.