20169 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20169 Zip Code | Virginia | U.S. |
Total Housing Units | 7,281, 100% | 3,403,241 | 132,741,033 |
1 Room | 7, 0.10%, see rank | 1.33% | 1.95% |
2 Rooms | 29, 0.40%, see rank | 1.73% | 2.48% |
3 Rooms | 16, 0.22%, see rank | 6.92% | 9.13% |
4 Rooms | 78, 1.07%, see rank | 14.48% | 16.60% |
5 Rooms | 477, 6.55%, see rank | 17.82% | 20.41% |
6 Rooms | 771, 10.59%, see rank | 16.80% | 18.06% |
7 Rooms | 1,066, 14.64%, see rank | 13.06% | 12.27% |
8 Rooms | 1,528, 20.99%, see rank | 10.92% | 8.48% |
9 Rooms or More | 3,309, 45.45%, see rank | 16.94% | 10.60% |
Median Rooms | 8.30, see rank | 6.00 | 5.50 |
ACS 2008-2012 data
| 20169 Zip Code | Virginia | U.S. |
Total Housing Units | 6,914, 100% | 3,365,855 | 131,642,457 |
1 Room | 19, 0.27%, see rank | 1.33% | 1.95% |
2 Rooms | 20, 0.29%, see rank | 1.65% | 2.36% |
3 Rooms | 0, 0.00%, see rank | 6.83% | 8.97% |
4 Rooms | 73, 1.06%, see rank | 14.53% | 16.57% |
5 Rooms | 337, 4.87%, see rank | 17.75% | 20.41% |
6 Rooms | 702, 10.15%, see rank | 17.02% | 18.25% |
7 Rooms | 1,125, 16.27%, see rank | 13.22% | 12.38% |
8 Rooms | 1,337, 19.34%, see rank | 11.02% | 8.59% |
9 Rooms or More | 3,301, 47.74%, see rank | 16.65% | 10.52% |
Median Rooms | 8.40, see rank | 6.00 | 5.50 |
US Census 2000 data
| 20169 Zip Code | Virginia | U.S. |
Total Housing Units | 1,983, 100% | 2,904,192 | 115,904,641 |
1 Room | 4, 0.20%, see rank | 1.17% | 2.20% |
2 Rooms | 2, 0.10%, see rank | 3.21% | 4.81% |
3 Rooms | 23, 1.16%, see rank | 7.07% | 9.84% |
4 Rooms | 88, 4.44%, see rank | 14.11% | 15.97% |
5 Rooms | 165, 8.32%, see rank | 19.23% | 20.89% |
6 Rooms | 327, 16.49%, see rank | 17.71% | 18.45% |
7 Rooms | 296, 14.93%, see rank | 13.66% | 12.06% |
8 Rooms | 381, 19.21%, see rank | 11.23% | 8.06% |
9 Rooms or More | 697, 35.15%, see rank | 12.60% | 7.70% |
Median Rooms | 7.70, 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.