20882 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20882 Zip Code | Maryland | U.S. |
Total Housing Units | 4,629, 100% | 2,399,375 | 132,741,033 |
1 Room | 13, 0.28%, see rank | 1.15% | 1.95% |
2 Rooms | 7, 0.15%, see rank | 1.62% | 2.48% |
3 Rooms | 45, 0.97%, see rank | 7.62% | 9.13% |
4 Rooms | 112, 2.42%, see rank | 12.84% | 16.60% |
5 Rooms | 226, 4.88%, see rank | 14.80% | 20.41% |
6 Rooms | 437, 9.44%, see rank | 17.19% | 18.06% |
7 Rooms | 478, 10.33%, see rank | 14.01% | 12.27% |
8 Rooms | 660, 14.26%, see rank | 11.30% | 8.48% |
9 Rooms or More | 2,651, 57.27%, see rank | 19.47% | 10.60% |
Median Rooms | 9.00, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20882 Zip Code | Maryland | U.S. |
Total Housing Units | 4,547, 100% | 2,378,932 | 131,642,457 |
1 Room | 33, 0.73%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 34, 0.75%, see rank | 7.57% | 8.97% |
4 Rooms | 88, 1.94%, see rank | 12.93% | 16.57% |
5 Rooms | 208, 4.57%, see rank | 14.68% | 20.41% |
6 Rooms | 458, 10.07%, see rank | 17.04% | 18.25% |
7 Rooms | 463, 10.18%, see rank | 14.15% | 12.38% |
8 Rooms | 650, 14.30%, see rank | 11.43% | 8.59% |
9 Rooms or More | 2,613, 57.47%, see rank | 19.46% | 10.52% |
Median Rooms | 9.00, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20882 Zip Code | Maryland | U.S. |
Total Housing Units | 3,916, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 0, 0.00%, see rank | 3.52% | 4.81% |
3 Rooms | 30, 0.77%, see rank | 8.03% | 9.84% |
4 Rooms | 58, 1.48%, see rank | 11.67% | 15.97% |
5 Rooms | 197, 5.03%, see rank | 15.60% | 20.89% |
6 Rooms | 270, 6.89%, see rank | 18.50% | 18.45% |
7 Rooms | 501, 12.79%, see rank | 14.10% | 12.06% |
8 Rooms | 763, 19.48%, see rank | 12.17% | 8.06% |
9 Rooms or More | 2,097, 53.55%, see rank | 14.91% | 7.70% |
Median Rooms | 9.10, 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.