21158 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21158 Zip Code | Maryland | U.S. |
Total Housing Units | 7,557, 100% | 2,399,375 | 132,741,033 |
1 Room | 18, 0.24%, see rank | 1.15% | 1.95% |
2 Rooms | 96, 1.27%, see rank | 1.62% | 2.48% |
3 Rooms | 264, 3.49%, see rank | 7.62% | 9.13% |
4 Rooms | 514, 6.80%, see rank | 12.84% | 16.60% |
5 Rooms | 1,193, 15.79%, see rank | 14.80% | 20.41% |
6 Rooms | 1,131, 14.97%, see rank | 17.19% | 18.06% |
7 Rooms | 1,152, 15.24%, see rank | 14.01% | 12.27% |
8 Rooms | 1,172, 15.51%, see rank | 11.30% | 8.48% |
9 Rooms or More | 2,017, 26.69%, see rank | 19.47% | 10.60% |
Median Rooms | 7.00, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21158 Zip Code | Maryland | U.S. |
Total Housing Units | 7,596, 100% | 2,378,932 | 131,642,457 |
1 Room | 14, 0.18%, see rank | 1.19% | 1.95% |
2 Rooms | 106, 1.40%, see rank | 1.55% | 2.36% |
3 Rooms | 296, 3.90%, see rank | 7.57% | 8.97% |
4 Rooms | 510, 6.71%, see rank | 12.93% | 16.57% |
5 Rooms | 1,056, 13.90%, see rank | 14.68% | 20.41% |
6 Rooms | 1,420, 18.69%, see rank | 17.04% | 18.25% |
7 Rooms | 1,284, 16.90%, see rank | 14.15% | 12.38% |
8 Rooms | 1,119, 14.73%, see rank | 11.43% | 8.59% |
9 Rooms or More | 1,791, 23.58%, see rank | 19.46% | 10.52% |
Median Rooms | 6.80, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21158 Zip Code | Maryland | U.S. |
Total Housing Units | 6,562, 100% | 2,145,283 | 115,904,641 |
1 Room | 63, 0.96%, see rank | 1.50% | 2.20% |
2 Rooms | 117, 1.78%, see rank | 3.52% | 4.81% |
3 Rooms | 183, 2.79%, see rank | 8.03% | 9.84% |
4 Rooms | 416, 6.34%, see rank | 11.67% | 15.97% |
5 Rooms | 996, 15.18%, see rank | 15.60% | 20.89% |
6 Rooms | 1,486, 22.65%, see rank | 18.50% | 18.45% |
7 Rooms | 1,293, 19.70%, see rank | 14.10% | 12.06% |
8 Rooms | 1,055, 16.08%, see rank | 12.17% | 8.06% |
9 Rooms or More | 953, 14.52%, see rank | 14.91% | 7.70% |
Median Rooms | 6.50, 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.