21903 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21903 Zip Code | Maryland | U.S. |
Total Housing Units | 2,564, 100% | 2,399,375 | 132,741,033 |
1 Room | 80, 3.12%, see rank | 1.15% | 1.95% |
2 Rooms | 25, 0.98%, see rank | 1.62% | 2.48% |
3 Rooms | 262, 10.22%, see rank | 7.62% | 9.13% |
4 Rooms | 224, 8.74%, see rank | 12.84% | 16.60% |
5 Rooms | 517, 20.16%, see rank | 14.80% | 20.41% |
6 Rooms | 466, 18.17%, see rank | 17.19% | 18.06% |
7 Rooms | 451, 17.59%, see rank | 14.01% | 12.27% |
8 Rooms | 137, 5.34%, see rank | 11.30% | 8.48% |
9 Rooms or More | 402, 15.68%, see rank | 19.47% | 10.60% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21903 Zip Code | Maryland | U.S. |
Total Housing Units | 2,549, 100% | 2,378,932 | 131,642,457 |
1 Room | 118, 4.63%, see rank | 1.19% | 1.95% |
2 Rooms | 28, 1.10%, see rank | 1.55% | 2.36% |
3 Rooms | 308, 12.08%, see rank | 7.57% | 8.97% |
4 Rooms | 219, 8.59%, see rank | 12.93% | 16.57% |
5 Rooms | 470, 18.44%, see rank | 14.68% | 20.41% |
6 Rooms | 453, 17.77%, see rank | 17.04% | 18.25% |
7 Rooms | 287, 11.26%, see rank | 14.15% | 12.38% |
8 Rooms | 152, 5.96%, see rank | 11.43% | 8.59% |
9 Rooms or More | 514, 20.16%, see rank | 19.46% | 10.52% |
Median Rooms | 5.80, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21903 Zip Code | Maryland | U.S. |
Total Housing Units | 2,195, 100% | 2,145,283 | 115,904,641 |
1 Room | 13, 0.59%, see rank | 1.50% | 2.20% |
2 Rooms | 49, 2.23%, see rank | 3.52% | 4.81% |
3 Rooms | 138, 6.29%, see rank | 8.03% | 9.84% |
4 Rooms | 415, 18.91%, see rank | 11.67% | 15.97% |
5 Rooms | 550, 25.06%, see rank | 15.60% | 20.89% |
6 Rooms | 352, 16.04%, see rank | 18.50% | 18.45% |
7 Rooms | 311, 14.17%, see rank | 14.10% | 12.06% |
8 Rooms | 200, 9.11%, see rank | 12.17% | 8.06% |
9 Rooms or More | 167, 7.61%, see rank | 14.91% | 7.70% |
Median Rooms | 5.40, 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.