21655 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21655 Zip Code | Maryland | U.S. |
Total Housing Units | 2,042, 100% | 2,399,375 | 132,741,033 |
1 Room | 31, 1.52%, see rank | 1.15% | 1.95% |
2 Rooms | 6, 0.29%, see rank | 1.62% | 2.48% |
3 Rooms | 36, 1.76%, see rank | 7.62% | 9.13% |
4 Rooms | 209, 10.24%, see rank | 12.84% | 16.60% |
5 Rooms | 393, 19.25%, see rank | 14.80% | 20.41% |
6 Rooms | 410, 20.08%, see rank | 17.19% | 18.06% |
7 Rooms | 302, 14.79%, see rank | 14.01% | 12.27% |
8 Rooms | 345, 16.90%, see rank | 11.30% | 8.48% |
9 Rooms or More | 310, 15.18%, see rank | 19.47% | 10.60% |
Median Rooms | 6.30, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21655 Zip Code | Maryland | U.S. |
Total Housing Units | 2,113, 100% | 2,378,932 | 131,642,457 |
1 Room | 29, 1.37%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 65, 3.08%, see rank | 7.57% | 8.97% |
4 Rooms | 260, 12.30%, see rank | 12.93% | 16.57% |
5 Rooms | 329, 15.57%, see rank | 14.68% | 20.41% |
6 Rooms | 385, 18.22%, see rank | 17.04% | 18.25% |
7 Rooms | 375, 17.75%, see rank | 14.15% | 12.38% |
8 Rooms | 391, 18.50%, see rank | 11.43% | 8.59% |
9 Rooms or More | 279, 13.20%, see rank | 19.46% | 10.52% |
Median Rooms | 6.50, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21655 Zip Code | Maryland | U.S. |
Total Housing Units | 1,981, 100% | 2,145,283 | 115,904,641 |
1 Room | 6, 0.30%, see rank | 1.50% | 2.20% |
2 Rooms | 34, 1.72%, see rank | 3.52% | 4.81% |
3 Rooms | 79, 3.99%, see rank | 8.03% | 9.84% |
4 Rooms | 201, 10.15%, see rank | 11.67% | 15.97% |
5 Rooms | 420, 21.20%, see rank | 15.60% | 20.89% |
6 Rooms | 514, 25.95%, see rank | 18.50% | 18.45% |
7 Rooms | 394, 19.89%, see rank | 14.10% | 12.06% |
8 Rooms | 193, 9.74%, see rank | 12.17% | 8.06% |
9 Rooms or More | 140, 7.07%, see rank | 14.91% | 7.70% |
Median Rooms | 6.00, see rank | 6.00 | 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.