21783 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21783 Zip Code | Maryland | U.S. |
Total Housing Units | 3,494, 100% | 2,399,375 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 9, 0.26%, see rank | 1.62% | 2.48% |
3 Rooms | 89, 2.55%, see rank | 7.62% | 9.13% |
4 Rooms | 245, 7.01%, see rank | 12.84% | 16.60% |
5 Rooms | 613, 17.54%, see rank | 14.80% | 20.41% |
6 Rooms | 703, 20.12%, see rank | 17.19% | 18.06% |
7 Rooms | 682, 19.52%, see rank | 14.01% | 12.27% |
8 Rooms | 482, 13.80%, see rank | 11.30% | 8.48% |
9 Rooms or More | 671, 19.20%, see rank | 19.47% | 10.60% |
Median Rooms | 6.60, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21783 Zip Code | Maryland | U.S. |
Total Housing Units | 3,466, 100% | 2,378,932 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
2 Rooms | 12, 0.35%, see rank | 1.55% | 2.36% |
3 Rooms | 102, 2.94%, see rank | 7.57% | 8.97% |
4 Rooms | 249, 7.18%, see rank | 12.93% | 16.57% |
5 Rooms | 586, 16.91%, see rank | 14.68% | 20.41% |
6 Rooms | 655, 18.90%, see rank | 17.04% | 18.25% |
7 Rooms | 614, 17.71%, see rank | 14.15% | 12.38% |
8 Rooms | 485, 13.99%, see rank | 11.43% | 8.59% |
9 Rooms or More | 763, 22.01%, see rank | 19.46% | 10.52% |
Median Rooms | 6.70, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21783 Zip Code | Maryland | U.S. |
Total Housing Units | 3,118, 100% | 2,145,283 | 115,904,641 |
1 Room | 6, 0.19%, see rank | 1.50% | 2.20% |
2 Rooms | 33, 1.06%, see rank | 3.52% | 4.81% |
3 Rooms | 112, 3.59%, see rank | 8.03% | 9.84% |
4 Rooms | 202, 6.48%, see rank | 11.67% | 15.97% |
5 Rooms | 546, 17.51%, see rank | 15.60% | 20.89% |
6 Rooms | 756, 24.25%, see rank | 18.50% | 18.45% |
7 Rooms | 612, 19.63%, see rank | 14.10% | 12.06% |
8 Rooms | 425, 13.63%, see rank | 12.17% | 8.06% |
9 Rooms or More | 426, 13.66%, see rank | 14.91% | 7.70% |
Median Rooms | 6.40, 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.