21776 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21776 Zip Code | Maryland | U.S. |
Total Housing Units | 2,166, 100% | 2,399,375 | 132,741,033 |
1 Room | 20, 0.92%, see rank | 1.15% | 1.95% |
2 Rooms | 4, 0.18%, see rank | 1.62% | 2.48% |
3 Rooms | 61, 2.82%, see rank | 7.62% | 9.13% |
4 Rooms | 144, 6.65%, see rank | 12.84% | 16.60% |
5 Rooms | 345, 15.93%, see rank | 14.80% | 20.41% |
6 Rooms | 274, 12.65%, see rank | 17.19% | 18.06% |
7 Rooms | 310, 14.31%, see rank | 14.01% | 12.27% |
8 Rooms | 433, 19.99%, see rank | 11.30% | 8.48% |
9 Rooms or More | 575, 26.55%, see rank | 19.47% | 10.60% |
Median Rooms | 7.30, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21776 Zip Code | Maryland | U.S. |
Total Housing Units | 2,007, 100% | 2,378,932 | 131,642,457 |
1 Room | 31, 1.54%, see rank | 1.19% | 1.95% |
2 Rooms | 3, 0.15%, see rank | 1.55% | 2.36% |
3 Rooms | 32, 1.59%, see rank | 7.57% | 8.97% |
4 Rooms | 132, 6.58%, see rank | 12.93% | 16.57% |
5 Rooms | 281, 14.00%, see rank | 14.68% | 20.41% |
6 Rooms | 236, 11.76%, see rank | 17.04% | 18.25% |
7 Rooms | 295, 14.70%, see rank | 14.15% | 12.38% |
8 Rooms | 375, 18.68%, see rank | 11.43% | 8.59% |
9 Rooms or More | 622, 30.99%, see rank | 19.46% | 10.52% |
Median Rooms | 7.50, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21776 Zip Code | Maryland | U.S. |
Total Housing Units | 1,926, 100% | 2,145,283 | 115,904,641 |
1 Room | 2, 0.10%, see rank | 1.50% | 2.20% |
2 Rooms | 35, 1.82%, see rank | 3.52% | 4.81% |
3 Rooms | 33, 1.71%, see rank | 8.03% | 9.84% |
4 Rooms | 135, 7.01%, see rank | 11.67% | 15.97% |
5 Rooms | 233, 12.10%, see rank | 15.60% | 20.89% |
6 Rooms | 514, 26.69%, see rank | 18.50% | 18.45% |
7 Rooms | 368, 19.11%, see rank | 14.10% | 12.06% |
8 Rooms | 334, 17.34%, see rank | 12.17% | 8.06% |
9 Rooms or More | 272, 14.12%, 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.