21817 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21817 Zip Code | Maryland | U.S. |
Total Housing Units | 2,698, 100% | 2,399,375 | 132,741,033 |
1 Room | 15, 0.56%, see rank | 1.15% | 1.95% |
2 Rooms | 13, 0.48%, see rank | 1.62% | 2.48% |
3 Rooms | 205, 7.60%, see rank | 7.62% | 9.13% |
4 Rooms | 304, 11.27%, see rank | 12.84% | 16.60% |
5 Rooms | 672, 24.91%, see rank | 14.80% | 20.41% |
6 Rooms | 631, 23.39%, see rank | 17.19% | 18.06% |
7 Rooms | 419, 15.53%, see rank | 14.01% | 12.27% |
8 Rooms | 186, 6.89%, see rank | 11.30% | 8.48% |
9 Rooms or More | 253, 9.38%, see rank | 19.47% | 10.60% |
Median Rooms | 5.70, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21817 Zip Code | Maryland | U.S. |
Total Housing Units | 2,953, 100% | 2,378,932 | 131,642,457 |
1 Room | 12, 0.41%, see rank | 1.19% | 1.95% |
2 Rooms | 17, 0.58%, see rank | 1.55% | 2.36% |
3 Rooms | 104, 3.52%, see rank | 7.57% | 8.97% |
4 Rooms | 326, 11.04%, see rank | 12.93% | 16.57% |
5 Rooms | 705, 23.87%, see rank | 14.68% | 20.41% |
6 Rooms | 647, 21.91%, see rank | 17.04% | 18.25% |
7 Rooms | 517, 17.51%, see rank | 14.15% | 12.38% |
8 Rooms | 344, 11.65%, see rank | 11.43% | 8.59% |
9 Rooms or More | 281, 9.52%, see rank | 19.46% | 10.52% |
Median Rooms | 6.00, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21817 Zip Code | Maryland | U.S. |
Total Housing Units | 2,733, 100% | 2,145,283 | 115,904,641 |
1 Room | 11, 0.40%, see rank | 1.50% | 2.20% |
2 Rooms | 49, 1.79%, see rank | 3.52% | 4.81% |
3 Rooms | 180, 6.59%, see rank | 8.03% | 9.84% |
4 Rooms | 404, 14.78%, see rank | 11.67% | 15.97% |
5 Rooms | 566, 20.71%, see rank | 15.60% | 20.89% |
6 Rooms | 684, 25.03%, see rank | 18.50% | 18.45% |
7 Rooms | 297, 10.87%, see rank | 14.10% | 12.06% |
8 Rooms | 285, 10.43%, see rank | 12.17% | 8.06% |
9 Rooms or More | 257, 9.40%, see rank | 14.91% | 7.70% |
Median Rooms | 5.70, 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.