20710 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20710 Zip Code | Maryland | U.S. |
Total Housing Units | 4,025, 100% | 2,399,375 | 132,741,033 |
1 Room | 73, 1.81%, see rank | 1.15% | 1.95% |
2 Rooms | 117, 2.91%, see rank | 1.62% | 2.48% |
3 Rooms | 1,185, 29.44%, see rank | 7.62% | 9.13% |
4 Rooms | 1,221, 30.34%, see rank | 12.84% | 16.60% |
5 Rooms | 689, 17.12%, see rank | 14.80% | 20.41% |
6 Rooms | 277, 6.88%, see rank | 17.19% | 18.06% |
7 Rooms | 146, 3.63%, see rank | 14.01% | 12.27% |
8 Rooms | 135, 3.35%, see rank | 11.30% | 8.48% |
9 Rooms or More | 182, 4.52%, see rank | 19.47% | 10.60% |
Median Rooms | 4.00, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20710 Zip Code | Maryland | U.S. |
Total Housing Units | 4,096, 100% | 2,378,932 | 131,642,457 |
1 Room | 87, 2.12%, see rank | 1.19% | 1.95% |
2 Rooms | 164, 4.00%, see rank | 1.55% | 2.36% |
3 Rooms | 1,230, 30.03%, see rank | 7.57% | 8.97% |
4 Rooms | 1,276, 31.15%, see rank | 12.93% | 16.57% |
5 Rooms | 666, 16.26%, see rank | 14.68% | 20.41% |
6 Rooms | 302, 7.37%, see rank | 17.04% | 18.25% |
7 Rooms | 130, 3.17%, see rank | 14.15% | 12.38% |
8 Rooms | 151, 3.69%, see rank | 11.43% | 8.59% |
9 Rooms or More | 90, 2.20%, see rank | 19.46% | 10.52% |
Median Rooms | 3.90, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20710 Zip Code | Maryland | U.S. |
Total Housing Units | 3,549, 100% | 2,145,283 | 115,904,641 |
1 Room | 157, 4.42%, see rank | 1.50% | 2.20% |
2 Rooms | 474, 13.36%, see rank | 3.52% | 4.81% |
3 Rooms | 762, 21.47%, see rank | 8.03% | 9.84% |
4 Rooms | 889, 25.05%, see rank | 11.67% | 15.97% |
5 Rooms | 456, 12.85%, see rank | 15.60% | 20.89% |
6 Rooms | 303, 8.54%, see rank | 18.50% | 18.45% |
7 Rooms | 247, 6.96%, see rank | 14.10% | 12.06% |
8 Rooms | 125, 3.52%, see rank | 12.17% | 8.06% |
9 Rooms or More | 136, 3.83%, see rank | 14.91% | 7.70% |
Median Rooms | 3.90, 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.