20816 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 20816 Zip Code | Maryland | U.S. |
Total Housing Units | 6,623, 100% | 2,399,375 | 132,741,033 |
1 Room | 35, 0.53%, see rank | 1.15% | 1.95% |
2 Rooms | 158, 2.39%, see rank | 1.62% | 2.48% |
3 Rooms | 546, 8.24%, see rank | 7.62% | 9.13% |
4 Rooms | 434, 6.55%, see rank | 12.84% | 16.60% |
5 Rooms | 417, 6.30%, see rank | 14.80% | 20.41% |
6 Rooms | 557, 8.41%, see rank | 17.19% | 18.06% |
7 Rooms | 576, 8.70%, see rank | 14.01% | 12.27% |
8 Rooms | 907, 13.69%, see rank | 11.30% | 8.48% |
9 Rooms or More | 2,993, 45.19%, see rank | 19.47% | 10.60% |
Median Rooms | 8.10, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 20816 Zip Code | Maryland | U.S. |
Total Housing Units | 6,567, 100% | 2,378,932 | 131,642,457 |
1 Room | 37, 0.56%, see rank | 1.19% | 1.95% |
2 Rooms | 55, 0.84%, see rank | 1.55% | 2.36% |
3 Rooms | 552, 8.41%, see rank | 7.57% | 8.97% |
4 Rooms | 517, 7.87%, see rank | 12.93% | 16.57% |
5 Rooms | 516, 7.86%, see rank | 14.68% | 20.41% |
6 Rooms | 607, 9.24%, see rank | 17.04% | 18.25% |
7 Rooms | 537, 8.18%, see rank | 14.15% | 12.38% |
8 Rooms | 779, 11.86%, see rank | 11.43% | 8.59% |
9 Rooms or More | 2,967, 45.18%, see rank | 19.46% | 10.52% |
Median Rooms | 8.10, see rank | 6.20 | 5.50 |
US Census 2000 data
| 20816 Zip Code | Maryland | U.S. |
Total Housing Units | 6,254, 100% | 2,145,283 | 115,904,641 |
1 Room | 32, 0.51%, see rank | 1.50% | 2.20% |
2 Rooms | 72, 1.15%, see rank | 3.52% | 4.81% |
3 Rooms | 331, 5.29%, see rank | 8.03% | 9.84% |
4 Rooms | 364, 5.82%, see rank | 11.67% | 15.97% |
5 Rooms | 582, 9.31%, see rank | 15.60% | 20.89% |
6 Rooms | 708, 11.32%, see rank | 18.50% | 18.45% |
7 Rooms | 956, 15.29%, see rank | 14.10% | 12.06% |
8 Rooms | 936, 14.97%, see rank | 12.17% | 8.06% |
9 Rooms or More | 2,273, 36.34%, see rank | 14.91% | 7.70% |
Median Rooms | 7.60, 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.