21054 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21054 Zip Code | Maryland | U.S. |
Total Housing Units | 4,075, 100% | 2,399,375 | 132,741,033 |
1 Room | 133, 3.26%, see rank | 1.15% | 1.95% |
2 Rooms | 16, 0.39%, see rank | 1.62% | 2.48% |
3 Rooms | 79, 1.94%, see rank | 7.62% | 9.13% |
4 Rooms | 371, 9.10%, see rank | 12.84% | 16.60% |
5 Rooms | 158, 3.88%, see rank | 14.80% | 20.41% |
6 Rooms | 618, 15.17%, see rank | 17.19% | 18.06% |
7 Rooms | 481, 11.80%, see rank | 14.01% | 12.27% |
8 Rooms | 699, 17.15%, see rank | 11.30% | 8.48% |
9 Rooms or More | 1,520, 37.30%, see rank | 19.47% | 10.60% |
Median Rooms | 7.80, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21054 Zip Code | Maryland | U.S. |
Total Housing Units | 3,797, 100% | 2,378,932 | 131,642,457 |
1 Room | 74, 1.95%, see rank | 1.19% | 1.95% |
2 Rooms | 8, 0.21%, see rank | 1.55% | 2.36% |
3 Rooms | 62, 1.63%, see rank | 7.57% | 8.97% |
4 Rooms | 273, 7.19%, see rank | 12.93% | 16.57% |
5 Rooms | 166, 4.37%, see rank | 14.68% | 20.41% |
6 Rooms | 597, 15.72%, see rank | 17.04% | 18.25% |
7 Rooms | 520, 13.70%, see rank | 14.15% | 12.38% |
8 Rooms | 724, 19.07%, see rank | 11.43% | 8.59% |
9 Rooms or More | 1,373, 36.16%, see rank | 19.46% | 10.52% |
Median Rooms | 7.80, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21054 Zip Code | Maryland | U.S. |
Total Housing Units | 2,417, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 7, 0.29%, see rank | 3.52% | 4.81% |
3 Rooms | 32, 1.32%, see rank | 8.03% | 9.84% |
4 Rooms | 94, 3.89%, see rank | 11.67% | 15.97% |
5 Rooms | 103, 4.26%, see rank | 15.60% | 20.89% |
6 Rooms | 290, 12.00%, see rank | 18.50% | 18.45% |
7 Rooms | 507, 20.98%, see rank | 14.10% | 12.06% |
8 Rooms | 624, 25.82%, see rank | 12.17% | 8.06% |
9 Rooms or More | 760, 31.44%, see rank | 14.91% | 7.70% |
Median Rooms | 7.80, 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.