21154 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21154 Zip Code | Maryland | U.S. |
Total Housing Units | 2,420, 100% | 2,399,375 | 132,741,033 |
1 Room | 95, 3.93%, see rank | 1.15% | 1.95% |
2 Rooms | 40, 1.65%, see rank | 1.62% | 2.48% |
3 Rooms | 14, 0.58%, see rank | 7.62% | 9.13% |
4 Rooms | 145, 5.99%, see rank | 12.84% | 16.60% |
5 Rooms | 318, 13.14%, see rank | 14.80% | 20.41% |
6 Rooms | 570, 23.55%, see rank | 17.19% | 18.06% |
7 Rooms | 282, 11.65%, see rank | 14.01% | 12.27% |
8 Rooms | 407, 16.82%, see rank | 11.30% | 8.48% |
9 Rooms or More | 549, 22.69%, see rank | 19.47% | 10.60% |
Median Rooms | 6.60, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21154 Zip Code | Maryland | U.S. |
Total Housing Units | 2,341, 100% | 2,378,932 | 131,642,457 |
1 Room | 12, 0.51%, see rank | 1.19% | 1.95% |
2 Rooms | 38, 1.62%, see rank | 1.55% | 2.36% |
3 Rooms | 37, 1.58%, see rank | 7.57% | 8.97% |
4 Rooms | 171, 7.30%, see rank | 12.93% | 16.57% |
5 Rooms | 373, 15.93%, see rank | 14.68% | 20.41% |
6 Rooms | 446, 19.05%, see rank | 17.04% | 18.25% |
7 Rooms | 370, 15.81%, see rank | 14.15% | 12.38% |
8 Rooms | 263, 11.23%, see rank | 11.43% | 8.59% |
9 Rooms or More | 631, 26.95%, see rank | 19.46% | 10.52% |
Median Rooms | 6.80, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21154 Zip Code | Maryland | U.S. |
Total Housing Units | 2,011, 100% | 2,145,283 | 115,904,641 |
1 Room | 4, 0.20%, see rank | 1.50% | 2.20% |
2 Rooms | 21, 1.04%, see rank | 3.52% | 4.81% |
3 Rooms | 59, 2.93%, see rank | 8.03% | 9.84% |
4 Rooms | 177, 8.80%, see rank | 11.67% | 15.97% |
5 Rooms | 298, 14.82%, see rank | 15.60% | 20.89% |
6 Rooms | 409, 20.34%, see rank | 18.50% | 18.45% |
7 Rooms | 392, 19.49%, see rank | 14.10% | 12.06% |
8 Rooms | 309, 15.37%, see rank | 12.17% | 8.06% |
9 Rooms or More | 342, 17.01%, see rank | 14.91% | 7.70% |
Median Rooms | 6.60, 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.