20151 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20151 Zip Code | Virginia | U.S. |
Total Housing Units | 6,948, 100% | 3,403,241 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.33% | 1.95% |
2 Rooms | 16, 0.23%, see rank | 1.73% | 2.48% |
3 Rooms | 272, 3.91%, see rank | 6.92% | 9.13% |
4 Rooms | 704, 10.13%, see rank | 14.48% | 16.60% |
5 Rooms | 805, 11.59%, see rank | 17.82% | 20.41% |
6 Rooms | 754, 10.85%, see rank | 16.80% | 18.06% |
7 Rooms | 909, 13.08%, see rank | 13.06% | 12.27% |
8 Rooms | 930, 13.39%, see rank | 10.92% | 8.48% |
9 Rooms or More | 2,558, 36.82%, see rank | 16.94% | 10.60% |
Median Rooms | 7.50, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 20151 Zip Code | Virginia | U.S. |
Total Housing Units | 6,717, 100% | 3,365,855 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.33% | 1.95% |
2 Rooms | 20, 0.30%, see rank | 1.65% | 2.36% |
3 Rooms | 241, 3.59%, see rank | 6.83% | 8.97% |
4 Rooms | 586, 8.72%, see rank | 14.53% | 16.57% |
5 Rooms | 775, 11.54%, see rank | 17.75% | 20.41% |
6 Rooms | 792, 11.79%, see rank | 17.02% | 18.25% |
7 Rooms | 779, 11.60%, see rank | 13.22% | 12.38% |
8 Rooms | 1,027, 15.29%, see rank | 11.02% | 8.59% |
9 Rooms or More | 2,497, 37.17%, see rank | 16.65% | 10.52% |
Median Rooms | 7.70, see rank | 6.00 | 5.50 |
US Census 2000 data
| 20151 Zip Code | Virginia | U.S. |
Total Housing Units | 5,496, 100% | 2,904,192 | 115,904,641 |
1 Room | 5, 0.09%, see rank | 1.17% | 2.20% |
2 Rooms | 105, 1.91%, see rank | 3.21% | 4.81% |
3 Rooms | 186, 3.38%, see rank | 7.07% | 9.84% |
4 Rooms | 326, 5.93%, see rank | 14.11% | 15.97% |
5 Rooms | 523, 9.52%, see rank | 19.23% | 20.89% |
6 Rooms | 537, 9.77%, see rank | 17.71% | 18.45% |
7 Rooms | 632, 11.50%, see rank | 13.66% | 12.06% |
8 Rooms | 1,094, 19.91%, see rank | 11.23% | 8.06% |
9 Rooms or More | 2,088, 37.99%, see rank | 12.60% | 7.70% |
Median Rooms | 7.90, 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.