20851 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20851 Zip Code | Maryland | U.S. |
Total Housing Units | 5,166, 100% | 2,399,375 | 132,741,033 |
1 Room | 19, 0.37%, see rank | 1.15% | 1.95% |
2 Rooms | 164, 3.17%, see rank | 1.62% | 2.48% |
3 Rooms | 445, 8.61%, see rank | 7.62% | 9.13% |
4 Rooms | 594, 11.50%, see rank | 12.84% | 16.60% |
5 Rooms | 804, 15.56%, see rank | 14.80% | 20.41% |
6 Rooms | 942, 18.23%, see rank | 17.19% | 18.06% |
7 Rooms | 855, 16.55%, see rank | 14.01% | 12.27% |
8 Rooms | 769, 14.89%, see rank | 11.30% | 8.48% |
9 Rooms or More | 574, 11.11%, see rank | 19.47% | 10.60% |
Median Rooms | 6.10, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20851 Zip Code | Maryland | U.S. |
Total Housing Units | 5,168, 100% | 2,378,932 | 131,642,457 |
1 Room | 11, 0.21%, see rank | 1.19% | 1.95% |
2 Rooms | 142, 2.75%, see rank | 1.55% | 2.36% |
3 Rooms | 373, 7.22%, see rank | 7.57% | 8.97% |
4 Rooms | 690, 13.35%, see rank | 12.93% | 16.57% |
5 Rooms | 830, 16.06%, see rank | 14.68% | 20.41% |
6 Rooms | 899, 17.40%, see rank | 17.04% | 18.25% |
7 Rooms | 840, 16.25%, see rank | 14.15% | 12.38% |
8 Rooms | 805, 15.58%, see rank | 11.43% | 8.59% |
9 Rooms or More | 578, 11.18%, see rank | 19.46% | 10.52% |
Median Rooms | 6.10, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20851 Zip Code | Maryland | U.S. |
Total Housing Units | 4,780, 100% | 2,145,283 | 115,904,641 |
1 Room | 116, 2.43%, see rank | 1.50% | 2.20% |
2 Rooms | 280, 5.86%, see rank | 3.52% | 4.81% |
3 Rooms | 356, 7.45%, see rank | 8.03% | 9.84% |
4 Rooms | 433, 9.06%, see rank | 11.67% | 15.97% |
5 Rooms | 670, 14.02%, see rank | 15.60% | 20.89% |
6 Rooms | 1,162, 24.31%, see rank | 18.50% | 18.45% |
7 Rooms | 830, 17.36%, see rank | 14.10% | 12.06% |
8 Rooms | 531, 11.11%, see rank | 12.17% | 8.06% |
9 Rooms or More | 402, 8.41%, see rank | 14.91% | 7.70% |
Median Rooms | 6.00, 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.