21108 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21108 Zip Code | Maryland | U.S. |
Total Housing Units | 6,450, 100% | 2,399,375 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.62% | 2.48% |
3 Rooms | 35, 0.54%, see rank | 7.62% | 9.13% |
4 Rooms | 700, 10.85%, see rank | 12.84% | 16.60% |
5 Rooms | 361, 5.60%, see rank | 14.80% | 20.41% |
6 Rooms | 1,027, 15.92%, see rank | 17.19% | 18.06% |
7 Rooms | 723, 11.21%, see rank | 14.01% | 12.27% |
8 Rooms | 1,104, 17.12%, see rank | 11.30% | 8.48% |
9 Rooms or More | 2,500, 38.76%, see rank | 19.47% | 10.60% |
Median Rooms | 7.80, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21108 Zip Code | Maryland | U.S. |
Total Housing Units | 6,530, 100% | 2,378,932 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 127, 1.94%, see rank | 7.57% | 8.97% |
4 Rooms | 650, 9.95%, see rank | 12.93% | 16.57% |
5 Rooms | 465, 7.12%, see rank | 14.68% | 20.41% |
6 Rooms | 820, 12.56%, see rank | 17.04% | 18.25% |
7 Rooms | 834, 12.77%, see rank | 14.15% | 12.38% |
8 Rooms | 1,035, 15.85%, see rank | 11.43% | 8.59% |
9 Rooms or More | 2,599, 39.80%, see rank | 19.46% | 10.52% |
Median Rooms | 7.90, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21108 Zip Code | Maryland | U.S. |
Total Housing Units | 6,153, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 76, 1.24%, see rank | 3.52% | 4.81% |
3 Rooms | 149, 2.42%, see rank | 8.03% | 9.84% |
4 Rooms | 507, 8.24%, see rank | 11.67% | 15.97% |
5 Rooms | 679, 11.04%, see rank | 15.60% | 20.89% |
6 Rooms | 629, 10.22%, see rank | 18.50% | 18.45% |
7 Rooms | 901, 14.64%, see rank | 14.10% | 12.06% |
8 Rooms | 1,283, 20.85%, see rank | 12.17% | 8.06% |
9 Rooms or More | 1,929, 31.35%, see rank | 14.91% | 7.70% |
Median Rooms | 7.60, 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.