21918 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21918 Zip Code | Maryland | U.S. |
Total Housing Units | 1,544, 100% | 2,399,375 | 132,741,033 |
1 Room | 30, 1.94%, see rank | 1.15% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.62% | 2.48% |
3 Rooms | 55, 3.56%, see rank | 7.62% | 9.13% |
4 Rooms | 220, 14.25%, see rank | 12.84% | 16.60% |
5 Rooms | 212, 13.73%, see rank | 14.80% | 20.41% |
6 Rooms | 378, 24.48%, see rank | 17.19% | 18.06% |
7 Rooms | 252, 16.32%, see rank | 14.01% | 12.27% |
8 Rooms | 172, 11.14%, see rank | 11.30% | 8.48% |
9 Rooms or More | 225, 14.57%, see rank | 19.47% | 10.60% |
Median Rooms | 6.20, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21918 Zip Code | Maryland | U.S. |
Total Housing Units | 1,527, 100% | 2,378,932 | 131,642,457 |
1 Room | 27, 1.77%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 20, 1.31%, see rank | 7.57% | 8.97% |
4 Rooms | 120, 7.86%, see rank | 12.93% | 16.57% |
5 Rooms | 304, 19.91%, see rank | 14.68% | 20.41% |
6 Rooms | 316, 20.69%, see rank | 17.04% | 18.25% |
7 Rooms | 328, 21.48%, see rank | 14.15% | 12.38% |
8 Rooms | 150, 9.82%, see rank | 11.43% | 8.59% |
9 Rooms or More | 262, 17.16%, see rank | 19.46% | 10.52% |
Median Rooms | 6.40, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21918 Zip Code | Maryland | U.S. |
Total Housing Units | 1,464, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 7, 0.48%, see rank | 3.52% | 4.81% |
3 Rooms | 54, 3.69%, see rank | 8.03% | 9.84% |
4 Rooms | 161, 11.00%, see rank | 11.67% | 15.97% |
5 Rooms | 278, 18.99%, see rank | 15.60% | 20.89% |
6 Rooms | 397, 27.12%, see rank | 18.50% | 18.45% |
7 Rooms | 229, 15.64%, see rank | 14.10% | 12.06% |
8 Rooms | 161, 11.00%, see rank | 12.17% | 8.06% |
9 Rooms or More | 177, 12.09%, see rank | 14.91% | 7.70% |
Median Rooms | 6.10, 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.