21673 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21673 Zip Code | Maryland | U.S. |
Total Housing Units | 1,473, 100% | 2,399,375 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 21, 1.43%, see rank | 1.62% | 2.48% |
3 Rooms | 32, 2.17%, see rank | 7.62% | 9.13% |
4 Rooms | 206, 13.99%, see rank | 12.84% | 16.60% |
5 Rooms | 285, 19.35%, see rank | 14.80% | 20.41% |
6 Rooms | 230, 15.61%, see rank | 17.19% | 18.06% |
7 Rooms | 248, 16.84%, see rank | 14.01% | 12.27% |
8 Rooms | 170, 11.54%, see rank | 11.30% | 8.48% |
9 Rooms or More | 281, 19.08%, see rank | 19.47% | 10.60% |
Median Rooms | 6.30, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21673 Zip Code | Maryland | U.S. |
Total Housing Units | 1,483, 100% | 2,378,932 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
2 Rooms | 15, 1.01%, see rank | 1.55% | 2.36% |
3 Rooms | 19, 1.28%, see rank | 7.57% | 8.97% |
4 Rooms | 139, 9.37%, see rank | 12.93% | 16.57% |
5 Rooms | 261, 17.60%, see rank | 14.68% | 20.41% |
6 Rooms | 271, 18.27%, see rank | 17.04% | 18.25% |
7 Rooms | 245, 16.52%, see rank | 14.15% | 12.38% |
8 Rooms | 183, 12.34%, see rank | 11.43% | 8.59% |
9 Rooms or More | 350, 23.60%, see rank | 19.46% | 10.52% |
Median Rooms | 6.60, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21673 Zip Code | Maryland | U.S. |
Total Housing Units | 1,396, 100% | 2,145,283 | 115,904,641 |
1 Room | 6, 0.43%, see rank | 1.50% | 2.20% |
2 Rooms | 19, 1.36%, see rank | 3.52% | 4.81% |
3 Rooms | 50, 3.58%, see rank | 8.03% | 9.84% |
4 Rooms | 115, 8.24%, see rank | 11.67% | 15.97% |
5 Rooms | 285, 20.42%, see rank | 15.60% | 20.89% |
6 Rooms | 284, 20.34%, see rank | 18.50% | 18.45% |
7 Rooms | 267, 19.13%, see rank | 14.10% | 12.06% |
8 Rooms | 196, 14.04%, see rank | 12.17% | 8.06% |
9 Rooms or More | 174, 12.46%, see rank | 14.91% | 7.70% |
Median Rooms | 6.30, 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.