21536 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21536 Zip Code | Maryland | U.S. |
Total Housing Units | 1,931, 100% | 2,399,375 | 132,741,033 |
1 Room | 43, 2.23%, see rank | 1.15% | 1.95% |
2 Rooms | 36, 1.86%, see rank | 1.62% | 2.48% |
3 Rooms | 128, 6.63%, see rank | 7.62% | 9.13% |
4 Rooms | 182, 9.43%, see rank | 12.84% | 16.60% |
5 Rooms | 436, 22.58%, see rank | 14.80% | 20.41% |
6 Rooms | 374, 19.37%, see rank | 17.19% | 18.06% |
7 Rooms | 270, 13.98%, see rank | 14.01% | 12.27% |
8 Rooms | 243, 12.58%, see rank | 11.30% | 8.48% |
9 Rooms or More | 219, 11.34%, see rank | 19.47% | 10.60% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21536 Zip Code | Maryland | U.S. |
Total Housing Units | 1,947, 100% | 2,378,932 | 131,642,457 |
1 Room | 46, 2.36%, see rank | 1.19% | 1.95% |
2 Rooms | 21, 1.08%, see rank | 1.55% | 2.36% |
3 Rooms | 100, 5.14%, see rank | 7.57% | 8.97% |
4 Rooms | 242, 12.43%, see rank | 12.93% | 16.57% |
5 Rooms | 386, 19.83%, see rank | 14.68% | 20.41% |
6 Rooms | 394, 20.24%, see rank | 17.04% | 18.25% |
7 Rooms | 302, 15.51%, see rank | 14.15% | 12.38% |
8 Rooms | 117, 6.01%, see rank | 11.43% | 8.59% |
9 Rooms or More | 339, 17.41%, see rank | 19.46% | 10.52% |
Median Rooms | 6.00, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21536 Zip Code | Maryland | U.S. |
Total Housing Units | 1,658, 100% | 2,145,283 | 115,904,641 |
1 Room | 6, 0.36%, see rank | 1.50% | 2.20% |
2 Rooms | 26, 1.57%, see rank | 3.52% | 4.81% |
3 Rooms | 45, 2.71%, see rank | 8.03% | 9.84% |
4 Rooms | 292, 17.61%, see rank | 11.67% | 15.97% |
5 Rooms | 383, 23.10%, see rank | 15.60% | 20.89% |
6 Rooms | 372, 22.44%, see rank | 18.50% | 18.45% |
7 Rooms | 260, 15.68%, see rank | 14.10% | 12.06% |
8 Rooms | 180, 10.86%, see rank | 12.17% | 8.06% |
9 Rooms or More | 94, 5.67%, 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.