20603 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20603 Zip Code | Maryland | U.S. |
Total Housing Units | 11,302, 100% | 2,399,375 | 132,741,033 |
1 Room | 16, 0.14%, see rank | 1.15% | 1.95% |
2 Rooms | 41, 0.36%, see rank | 1.62% | 2.48% |
3 Rooms | 561, 4.96%, see rank | 7.62% | 9.13% |
4 Rooms | 591, 5.23%, see rank | 12.84% | 16.60% |
5 Rooms | 1,313, 11.62%, see rank | 14.80% | 20.41% |
6 Rooms | 1,838, 16.26%, see rank | 17.19% | 18.06% |
7 Rooms | 1,364, 12.07%, see rank | 14.01% | 12.27% |
8 Rooms | 2,169, 19.19%, see rank | 11.30% | 8.48% |
9 Rooms or More | 3,409, 30.16%, see rank | 19.47% | 10.60% |
Median Rooms | 7.40, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20603 Zip Code | Maryland | U.S. |
Total Housing Units | 10,847, 100% | 2,378,932 | 131,642,457 |
1 Room | 21, 0.19%, see rank | 1.19% | 1.95% |
2 Rooms | 39, 0.36%, see rank | 1.55% | 2.36% |
3 Rooms | 484, 4.46%, see rank | 7.57% | 8.97% |
4 Rooms | 608, 5.61%, see rank | 12.93% | 16.57% |
5 Rooms | 1,327, 12.23%, see rank | 14.68% | 20.41% |
6 Rooms | 1,771, 16.33%, see rank | 17.04% | 18.25% |
7 Rooms | 1,285, 11.85%, see rank | 14.15% | 12.38% |
8 Rooms | 2,027, 18.69%, see rank | 11.43% | 8.59% |
9 Rooms or More | 3,285, 30.28%, see rank | 19.46% | 10.52% |
Median Rooms | 7.40, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20603 Zip Code | Maryland | U.S. |
Total Housing Units | 7,167, 100% | 2,145,283 | 115,904,641 |
1 Room | 18, 0.25%, see rank | 1.50% | 2.20% |
2 Rooms | 73, 1.02%, see rank | 3.52% | 4.81% |
3 Rooms | 419, 5.85%, see rank | 8.03% | 9.84% |
4 Rooms | 314, 4.38%, see rank | 11.67% | 15.97% |
5 Rooms | 804, 11.22%, see rank | 15.60% | 20.89% |
6 Rooms | 1,142, 15.93%, see rank | 18.50% | 18.45% |
7 Rooms | 1,422, 19.84%, see rank | 14.10% | 12.06% |
8 Rooms | 1,286, 17.94%, see rank | 12.17% | 8.06% |
9 Rooms or More | 1,689, 23.57%, see rank | 14.91% | 7.70% |
Median Rooms | 7.10, 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.