21015 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21015 Zip Code | Maryland | U.S. |
Total Housing Units | 10,344, 100% | 2,399,375 | 132,741,033 |
1 Room | 74, 0.72%, see rank | 1.15% | 1.95% |
2 Rooms | 62, 0.60%, see rank | 1.62% | 2.48% |
3 Rooms | 129, 1.25%, see rank | 7.62% | 9.13% |
4 Rooms | 684, 6.61%, see rank | 12.84% | 16.60% |
5 Rooms | 1,144, 11.06%, see rank | 14.80% | 20.41% |
6 Rooms | 1,544, 14.93%, see rank | 17.19% | 18.06% |
7 Rooms | 1,616, 15.62%, see rank | 14.01% | 12.27% |
8 Rooms | 1,481, 14.32%, see rank | 11.30% | 8.48% |
9 Rooms or More | 3,610, 34.90%, see rank | 19.47% | 10.60% |
Median Rooms | 7.40, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21015 Zip Code | Maryland | U.S. |
Total Housing Units | 10,242, 100% | 2,378,932 | 131,642,457 |
1 Room | 92, 0.90%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 79, 0.77%, see rank | 7.57% | 8.97% |
4 Rooms | 650, 6.35%, see rank | 12.93% | 16.57% |
5 Rooms | 1,108, 10.82%, see rank | 14.68% | 20.41% |
6 Rooms | 1,570, 15.33%, see rank | 17.04% | 18.25% |
7 Rooms | 1,790, 17.48%, see rank | 14.15% | 12.38% |
8 Rooms | 1,689, 16.49%, see rank | 11.43% | 8.59% |
9 Rooms or More | 3,264, 31.87%, see rank | 19.46% | 10.52% |
Median Rooms | 7.40, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21015 Zip Code | Maryland | U.S. |
Total Housing Units | 8,389, 100% | 2,145,283 | 115,904,641 |
1 Room | 11, 0.13%, see rank | 1.50% | 2.20% |
2 Rooms | 58, 0.69%, see rank | 3.52% | 4.81% |
3 Rooms | 171, 2.04%, see rank | 8.03% | 9.84% |
4 Rooms | 495, 5.90%, see rank | 11.67% | 15.97% |
5 Rooms | 830, 9.89%, see rank | 15.60% | 20.89% |
6 Rooms | 1,717, 20.47%, see rank | 18.50% | 18.45% |
7 Rooms | 1,456, 17.36%, see rank | 14.10% | 12.06% |
8 Rooms | 1,593, 18.99%, see rank | 12.17% | 8.06% |
9 Rooms or More | 2,058, 24.53%, 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.