21851 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21851 Zip Code | Maryland | U.S. |
Total Housing Units | 3,296, 100% | 2,399,375 | 132,741,033 |
1 Room | 54, 1.64%, see rank | 1.15% | 1.95% |
2 Rooms | 24, 0.73%, see rank | 1.62% | 2.48% |
3 Rooms | 278, 8.43%, see rank | 7.62% | 9.13% |
4 Rooms | 405, 12.29%, see rank | 12.84% | 16.60% |
5 Rooms | 676, 20.51%, see rank | 14.80% | 20.41% |
6 Rooms | 591, 17.93%, see rank | 17.19% | 18.06% |
7 Rooms | 335, 10.16%, see rank | 14.01% | 12.27% |
8 Rooms | 558, 16.93%, see rank | 11.30% | 8.48% |
9 Rooms or More | 375, 11.38%, see rank | 19.47% | 10.60% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21851 Zip Code | Maryland | U.S. |
Total Housing Units | 3,355, 100% | 2,378,932 | 131,642,457 |
1 Room | 10, 0.30%, see rank | 1.19% | 1.95% |
2 Rooms | 28, 0.83%, see rank | 1.55% | 2.36% |
3 Rooms | 208, 6.20%, see rank | 7.57% | 8.97% |
4 Rooms | 373, 11.12%, see rank | 12.93% | 16.57% |
5 Rooms | 928, 27.66%, see rank | 14.68% | 20.41% |
6 Rooms | 586, 17.47%, see rank | 17.04% | 18.25% |
7 Rooms | 381, 11.36%, see rank | 14.15% | 12.38% |
8 Rooms | 341, 10.16%, see rank | 11.43% | 8.59% |
9 Rooms or More | 500, 14.90%, see rank | 19.46% | 10.52% |
Median Rooms | 5.70, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21851 Zip Code | Maryland | U.S. |
Total Housing Units | 3,172, 100% | 2,145,283 | 115,904,641 |
1 Room | 10, 0.32%, see rank | 1.50% | 2.20% |
2 Rooms | 68, 2.14%, see rank | 3.52% | 4.81% |
3 Rooms | 184, 5.80%, see rank | 8.03% | 9.84% |
4 Rooms | 459, 14.47%, see rank | 11.67% | 15.97% |
5 Rooms | 715, 22.54%, see rank | 15.60% | 20.89% |
6 Rooms | 700, 22.07%, see rank | 18.50% | 18.45% |
7 Rooms | 345, 10.88%, see rank | 14.10% | 12.06% |
8 Rooms | 415, 13.08%, see rank | 12.17% | 8.06% |
9 Rooms or More | 276, 8.70%, see rank | 14.91% | 7.70% |
Median Rooms | 5.70, 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.