21722 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21722 Zip Code | Maryland | U.S. |
Total Housing Units | 2,068, 100% | 2,399,375 | 132,741,033 |
1 Room | 4, 0.19%, see rank | 1.15% | 1.95% |
2 Rooms | 27, 1.31%, see rank | 1.62% | 2.48% |
3 Rooms | 41, 1.98%, see rank | 7.62% | 9.13% |
4 Rooms | 248, 11.99%, see rank | 12.84% | 16.60% |
5 Rooms | 350, 16.92%, see rank | 14.80% | 20.41% |
6 Rooms | 398, 19.25%, see rank | 17.19% | 18.06% |
7 Rooms | 298, 14.41%, see rank | 14.01% | 12.27% |
8 Rooms | 258, 12.48%, see rank | 11.30% | 8.48% |
9 Rooms or More | 444, 21.47%, see rank | 19.47% | 10.60% |
Median Rooms | 6.40, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21722 Zip Code | Maryland | U.S. |
Total Housing Units | 2,081, 100% | 2,378,932 | 131,642,457 |
1 Room | 5, 0.24%, see rank | 1.19% | 1.95% |
2 Rooms | 16, 0.77%, see rank | 1.55% | 2.36% |
3 Rooms | 88, 4.23%, see rank | 7.57% | 8.97% |
4 Rooms | 136, 6.54%, see rank | 12.93% | 16.57% |
5 Rooms | 362, 17.40%, see rank | 14.68% | 20.41% |
6 Rooms | 544, 26.14%, see rank | 17.04% | 18.25% |
7 Rooms | 288, 13.84%, see rank | 14.15% | 12.38% |
8 Rooms | 296, 14.22%, see rank | 11.43% | 8.59% |
9 Rooms or More | 346, 16.63%, see rank | 19.46% | 10.52% |
Median Rooms | 6.30, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21722 Zip Code | Maryland | U.S. |
Total Housing Units | 1,991, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 4, 0.20%, see rank | 3.52% | 4.81% |
3 Rooms | 41, 2.06%, see rank | 8.03% | 9.84% |
4 Rooms | 208, 10.45%, see rank | 11.67% | 15.97% |
5 Rooms | 442, 22.20%, see rank | 15.60% | 20.89% |
6 Rooms | 436, 21.90%, see rank | 18.50% | 18.45% |
7 Rooms | 373, 18.73%, see rank | 14.10% | 12.06% |
8 Rooms | 291, 14.62%, see rank | 12.17% | 8.06% |
9 Rooms or More | 196, 9.84%, see rank | 14.91% | 7.70% |
Median Rooms | 6.20, 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.