21632 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21632 Zip Code | Maryland | U.S. |
Total Housing Units | 2,699, 100% | 2,399,375 | 132,741,033 |
1 Room | 12, 0.44%, see rank | 1.15% | 1.95% |
2 Rooms | 5, 0.19%, see rank | 1.62% | 2.48% |
3 Rooms | 159, 5.89%, see rank | 7.62% | 9.13% |
4 Rooms | 295, 10.93%, see rank | 12.84% | 16.60% |
5 Rooms | 470, 17.41%, see rank | 14.80% | 20.41% |
6 Rooms | 677, 25.08%, see rank | 17.19% | 18.06% |
7 Rooms | 586, 21.71%, see rank | 14.01% | 12.27% |
8 Rooms | 238, 8.82%, see rank | 11.30% | 8.48% |
9 Rooms or More | 257, 9.52%, see rank | 19.47% | 10.60% |
Median Rooms | 6.10, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21632 Zip Code | Maryland | U.S. |
Total Housing Units | 2,732, 100% | 2,378,932 | 131,642,457 |
1 Room | 13, 0.48%, see rank | 1.19% | 1.95% |
2 Rooms | 20, 0.73%, see rank | 1.55% | 2.36% |
3 Rooms | 140, 5.12%, see rank | 7.57% | 8.97% |
4 Rooms | 358, 13.10%, see rank | 12.93% | 16.57% |
5 Rooms | 599, 21.93%, see rank | 14.68% | 20.41% |
6 Rooms | 638, 23.35%, see rank | 17.04% | 18.25% |
7 Rooms | 506, 18.52%, see rank | 14.15% | 12.38% |
8 Rooms | 268, 9.81%, see rank | 11.43% | 8.59% |
9 Rooms or More | 190, 6.95%, see rank | 19.46% | 10.52% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21632 Zip Code | Maryland | U.S. |
Total Housing Units | 2,576, 100% | 2,145,283 | 115,904,641 |
1 Room | 9, 0.35%, see rank | 1.50% | 2.20% |
2 Rooms | 56, 2.17%, see rank | 3.52% | 4.81% |
3 Rooms | 202, 7.84%, see rank | 8.03% | 9.84% |
4 Rooms | 427, 16.58%, see rank | 11.67% | 15.97% |
5 Rooms | 576, 22.36%, see rank | 15.60% | 20.89% |
6 Rooms | 663, 25.74%, see rank | 18.50% | 18.45% |
7 Rooms | 235, 9.12%, see rank | 14.10% | 12.06% |
8 Rooms | 195, 7.57%, see rank | 12.17% | 8.06% |
9 Rooms or More | 213, 8.27%, see rank | 14.91% | 7.70% |
Median Rooms | 5.50, 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.