20905 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20905 Zip Code | Maryland | U.S. |
Total Housing Units | 5,760, 100% | 2,399,375 | 132,741,033 |
1 Room | 24, 0.42%, see rank | 1.15% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.62% | 2.48% |
3 Rooms | 29, 0.50%, see rank | 7.62% | 9.13% |
4 Rooms | 101, 1.75%, see rank | 12.84% | 16.60% |
5 Rooms | 259, 4.50%, see rank | 14.80% | 20.41% |
6 Rooms | 495, 8.59%, see rank | 17.19% | 18.06% |
7 Rooms | 592, 10.28%, see rank | 14.01% | 12.27% |
8 Rooms | 1,092, 18.96%, see rank | 11.30% | 8.48% |
9 Rooms or More | 3,168, 55.00%, see rank | 19.47% | 10.60% |
Median Rooms | 9.00, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20905 Zip Code | Maryland | U.S. |
Total Housing Units | 5,848, 100% | 2,378,932 | 131,642,457 |
1 Room | 25, 0.43%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 14, 0.24%, see rank | 7.57% | 8.97% |
4 Rooms | 144, 2.46%, see rank | 12.93% | 16.57% |
5 Rooms | 265, 4.53%, see rank | 14.68% | 20.41% |
6 Rooms | 462, 7.90%, see rank | 17.04% | 18.25% |
7 Rooms | 531, 9.08%, see rank | 14.15% | 12.38% |
8 Rooms | 1,123, 19.20%, see rank | 11.43% | 8.59% |
9 Rooms or More | 3,284, 56.16%, see rank | 19.46% | 10.52% |
Median Rooms | 9.00, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20905 Zip Code | Maryland | U.S. |
Total Housing Units | 5,881, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 59, 1.00%, see rank | 3.52% | 4.81% |
3 Rooms | 100, 1.70%, see rank | 8.03% | 9.84% |
4 Rooms | 132, 2.24%, see rank | 11.67% | 15.97% |
5 Rooms | 279, 4.74%, see rank | 15.60% | 20.89% |
6 Rooms | 434, 7.38%, see rank | 18.50% | 18.45% |
7 Rooms | 801, 13.62%, see rank | 14.10% | 12.06% |
8 Rooms | 1,324, 22.51%, see rank | 12.17% | 8.06% |
9 Rooms or More | 2,752, 46.79%, see rank | 14.91% | 7.70% |
Median Rooms | 8.40, 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.