20770 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20770 Zip Code | Maryland | U.S. |
Total Housing Units | 10,687, 100% | 2,399,375 | 132,741,033 |
1 Room | 121, 1.13%, see rank | 1.15% | 1.95% |
2 Rooms | 473, 4.43%, see rank | 1.62% | 2.48% |
3 Rooms | 1,916, 17.93%, see rank | 7.62% | 9.13% |
4 Rooms | 2,938, 27.49%, see rank | 12.84% | 16.60% |
5 Rooms | 2,361, 22.09%, see rank | 14.80% | 20.41% |
6 Rooms | 1,215, 11.37%, see rank | 17.19% | 18.06% |
7 Rooms | 888, 8.31%, see rank | 14.01% | 12.27% |
8 Rooms | 300, 2.81%, see rank | 11.30% | 8.48% |
9 Rooms or More | 475, 4.44%, see rank | 19.47% | 10.60% |
Median Rooms | 4.50, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20770 Zip Code | Maryland | U.S. |
Total Housing Units | 11,373, 100% | 2,378,932 | 131,642,457 |
1 Room | 178, 1.57%, see rank | 1.19% | 1.95% |
2 Rooms | 376, 3.31%, see rank | 1.55% | 2.36% |
3 Rooms | 1,947, 17.12%, see rank | 7.57% | 8.97% |
4 Rooms | 2,940, 25.85%, see rank | 12.93% | 16.57% |
5 Rooms | 2,718, 23.90%, see rank | 14.68% | 20.41% |
6 Rooms | 1,541, 13.55%, see rank | 17.04% | 18.25% |
7 Rooms | 792, 6.96%, see rank | 14.15% | 12.38% |
8 Rooms | 423, 3.72%, see rank | 11.43% | 8.59% |
9 Rooms or More | 458, 4.03%, see rank | 19.46% | 10.52% |
Median Rooms | 4.60, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20770 Zip Code | Maryland | U.S. |
Total Housing Units | 10,080, 100% | 2,145,283 | 115,904,641 |
1 Room | 310, 3.08%, see rank | 1.50% | 2.20% |
2 Rooms | 963, 9.55%, see rank | 3.52% | 4.81% |
3 Rooms | 1,527, 15.15%, see rank | 8.03% | 9.84% |
4 Rooms | 2,010, 19.94%, see rank | 11.67% | 15.97% |
5 Rooms | 2,267, 22.49%, see rank | 15.60% | 20.89% |
6 Rooms | 1,423, 14.12%, see rank | 18.50% | 18.45% |
7 Rooms | 705, 6.99%, see rank | 14.10% | 12.06% |
8 Rooms | 432, 4.29%, see rank | 12.17% | 8.06% |
9 Rooms or More | 443, 4.39%, see rank | 14.91% | 7.70% |
Median Rooms | 4.60, 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.