21076 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21076 Zip Code | Maryland | U.S. |
Total Housing Units | 5,715, 100% | 2,399,375 | 132,741,033 |
1 Room | 48, 0.84%, see rank | 1.15% | 1.95% |
2 Rooms | 93, 1.63%, see rank | 1.62% | 2.48% |
3 Rooms | 357, 6.25%, see rank | 7.62% | 9.13% |
4 Rooms | 643, 11.25%, see rank | 12.84% | 16.60% |
5 Rooms | 717, 12.55%, see rank | 14.80% | 20.41% |
6 Rooms | 802, 14.03%, see rank | 17.19% | 18.06% |
7 Rooms | 964, 16.87%, see rank | 14.01% | 12.27% |
8 Rooms | 790, 13.82%, see rank | 11.30% | 8.48% |
9 Rooms or More | 1,301, 22.76%, see rank | 19.47% | 10.60% |
Median Rooms | 6.70, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21076 Zip Code | Maryland | U.S. |
Total Housing Units | 4,972, 100% | 2,378,932 | 131,642,457 |
1 Room | 82, 1.65%, see rank | 1.19% | 1.95% |
2 Rooms | 53, 1.07%, see rank | 1.55% | 2.36% |
3 Rooms | 238, 4.79%, see rank | 7.57% | 8.97% |
4 Rooms | 537, 10.80%, see rank | 12.93% | 16.57% |
5 Rooms | 435, 8.75%, see rank | 14.68% | 20.41% |
6 Rooms | 834, 16.77%, see rank | 17.04% | 18.25% |
7 Rooms | 782, 15.73%, see rank | 14.15% | 12.38% |
8 Rooms | 834, 16.77%, see rank | 11.43% | 8.59% |
9 Rooms or More | 1,177, 23.67%, see rank | 19.46% | 10.52% |
Median Rooms | 6.90, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21076 Zip Code | Maryland | U.S. |
Total Housing Units | 2,624, 100% | 2,145,283 | 115,904,641 |
1 Room | 17, 0.65%, see rank | 1.50% | 2.20% |
2 Rooms | 22, 0.84%, see rank | 3.52% | 4.81% |
3 Rooms | 24, 0.91%, see rank | 8.03% | 9.84% |
4 Rooms | 153, 5.83%, see rank | 11.67% | 15.97% |
5 Rooms | 261, 9.95%, see rank | 15.60% | 20.89% |
6 Rooms | 483, 18.41%, see rank | 18.50% | 18.45% |
7 Rooms | 654, 24.92%, see rank | 14.10% | 12.06% |
8 Rooms | 548, 20.88%, see rank | 12.17% | 8.06% |
9 Rooms or More | 462, 17.61%, see rank | 14.91% | 7.70% |
Median Rooms | 7.00, 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.