21561 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21561 Zip Code | Maryland | U.S. |
Total Housing Units | 2,748, 100% | 2,399,375 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 18, 0.66%, see rank | 1.62% | 2.48% |
3 Rooms | 207, 7.53%, see rank | 7.62% | 9.13% |
4 Rooms | 340, 12.37%, see rank | 12.84% | 16.60% |
5 Rooms | 399, 14.52%, see rank | 14.80% | 20.41% |
6 Rooms | 574, 20.89%, see rank | 17.19% | 18.06% |
7 Rooms | 286, 10.41%, see rank | 14.01% | 12.27% |
8 Rooms | 443, 16.12%, see rank | 11.30% | 8.48% |
9 Rooms or More | 481, 17.50%, see rank | 19.47% | 10.60% |
Median Rooms | 6.20, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21561 Zip Code | Maryland | U.S. |
Total Housing Units | 2,672, 100% | 2,378,932 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
2 Rooms | 39, 1.46%, see rank | 1.55% | 2.36% |
3 Rooms | 228, 8.53%, see rank | 7.57% | 8.97% |
4 Rooms | 210, 7.86%, see rank | 12.93% | 16.57% |
5 Rooms | 474, 17.74%, see rank | 14.68% | 20.41% |
6 Rooms | 521, 19.50%, see rank | 17.04% | 18.25% |
7 Rooms | 381, 14.26%, see rank | 14.15% | 12.38% |
8 Rooms | 376, 14.07%, see rank | 11.43% | 8.59% |
9 Rooms or More | 443, 16.58%, see rank | 19.46% | 10.52% |
Median Rooms | 6.20, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21561 Zip Code | Maryland | U.S. |
Total Housing Units | 2,344, 100% | 2,145,283 | 115,904,641 |
1 Room | 18, 0.77%, see rank | 1.50% | 2.20% |
2 Rooms | 18, 0.77%, see rank | 3.52% | 4.81% |
3 Rooms | 51, 2.18%, see rank | 8.03% | 9.84% |
4 Rooms | 384, 16.38%, see rank | 11.67% | 15.97% |
5 Rooms | 504, 21.50%, see rank | 15.60% | 20.89% |
6 Rooms | 682, 29.10%, see rank | 18.50% | 18.45% |
7 Rooms | 363, 15.49%, see rank | 14.10% | 12.06% |
8 Rooms | 195, 8.32%, see rank | 12.17% | 8.06% |
9 Rooms or More | 129, 5.50%, see rank | 14.91% | 7.70% |
Median Rooms | 5.80, 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.