21050 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21050 Zip Code | Maryland | U.S. |
Total Housing Units | 6,531, 100% | 2,399,375 | 132,741,033 |
1 Room | 8, 0.12%, see rank | 1.15% | 1.95% |
2 Rooms | 9, 0.14%, see rank | 1.62% | 2.48% |
3 Rooms | 119, 1.82%, see rank | 7.62% | 9.13% |
4 Rooms | 341, 5.22%, see rank | 12.84% | 16.60% |
5 Rooms | 617, 9.45%, see rank | 14.80% | 20.41% |
6 Rooms | 972, 14.88%, see rank | 17.19% | 18.06% |
7 Rooms | 885, 13.55%, see rank | 14.01% | 12.27% |
8 Rooms | 1,137, 17.41%, see rank | 11.30% | 8.48% |
9 Rooms or More | 2,443, 37.41%, see rank | 19.47% | 10.60% |
Median Rooms | 7.80, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21050 Zip Code | Maryland | U.S. |
Total Housing Units | 6,440, 100% | 2,378,932 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
2 Rooms | 27, 0.42%, see rank | 1.55% | 2.36% |
3 Rooms | 85, 1.32%, see rank | 7.57% | 8.97% |
4 Rooms | 256, 3.98%, see rank | 12.93% | 16.57% |
5 Rooms | 678, 10.53%, see rank | 14.68% | 20.41% |
6 Rooms | 1,059, 16.44%, see rank | 17.04% | 18.25% |
7 Rooms | 909, 14.11%, see rank | 14.15% | 12.38% |
8 Rooms | 992, 15.40%, see rank | 11.43% | 8.59% |
9 Rooms or More | 2,434, 37.80%, see rank | 19.46% | 10.52% |
Median Rooms | 7.70, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21050 Zip Code | Maryland | U.S. |
Total Housing Units | 5,465, 100% | 2,145,283 | 115,904,641 |
1 Room | 48, 0.88%, see rank | 1.50% | 2.20% |
2 Rooms | 63, 1.15%, see rank | 3.52% | 4.81% |
3 Rooms | 100, 1.83%, see rank | 8.03% | 9.84% |
4 Rooms | 508, 9.30%, see rank | 11.67% | 15.97% |
5 Rooms | 601, 11.00%, see rank | 15.60% | 20.89% |
6 Rooms | 781, 14.29%, see rank | 18.50% | 18.45% |
7 Rooms | 889, 16.27%, see rank | 14.10% | 12.06% |
8 Rooms | 1,191, 21.79%, see rank | 12.17% | 8.06% |
9 Rooms or More | 1,284, 23.49%, see rank | 14.91% | 7.70% |
Median Rooms | 7.20, 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.