20764 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20764 Zip Code | Maryland | U.S. |
Total Housing Units | 1,955, 100% | 2,399,375 | 132,741,033 |
1 Room | 19, 0.97%, see rank | 1.15% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.62% | 2.48% |
3 Rooms | 75, 3.84%, see rank | 7.62% | 9.13% |
4 Rooms | 312, 15.96%, see rank | 12.84% | 16.60% |
5 Rooms | 503, 25.73%, see rank | 14.80% | 20.41% |
6 Rooms | 400, 20.46%, see rank | 17.19% | 18.06% |
7 Rooms | 305, 15.60%, see rank | 14.01% | 12.27% |
8 Rooms | 222, 11.36%, see rank | 11.30% | 8.48% |
9 Rooms or More | 119, 6.09%, see rank | 19.47% | 10.60% |
Median Rooms | 5.70, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20764 Zip Code | Maryland | U.S. |
Total Housing Units | 1,936, 100% | 2,378,932 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 81, 4.18%, see rank | 7.57% | 8.97% |
4 Rooms | 274, 14.15%, see rank | 12.93% | 16.57% |
5 Rooms | 386, 19.94%, see rank | 14.68% | 20.41% |
6 Rooms | 510, 26.34%, see rank | 17.04% | 18.25% |
7 Rooms | 351, 18.13%, see rank | 14.15% | 12.38% |
8 Rooms | 180, 9.30%, see rank | 11.43% | 8.59% |
9 Rooms or More | 154, 7.95%, see rank | 19.46% | 10.52% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20764 Zip Code | Maryland | U.S. |
Total Housing Units | 1,691, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 11, 0.65%, see rank | 3.52% | 4.81% |
3 Rooms | 50, 2.96%, see rank | 8.03% | 9.84% |
4 Rooms | 208, 12.30%, see rank | 11.67% | 15.97% |
5 Rooms | 431, 25.49%, see rank | 15.60% | 20.89% |
6 Rooms | 384, 22.71%, see rank | 18.50% | 18.45% |
7 Rooms | 270, 15.97%, see rank | 14.10% | 12.06% |
8 Rooms | 97, 5.74%, see rank | 12.17% | 8.06% |
9 Rooms or More | 240, 14.19%, see rank | 14.91% | 7.70% |
Median Rooms | 5.90, 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.