21102 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21102 Zip Code | Maryland | U.S. |
Total Housing Units | 4,084, 100% | 2,399,375 | 132,741,033 |
1 Room | 12, 0.29%, see rank | 1.15% | 1.95% |
2 Rooms | 31, 0.76%, see rank | 1.62% | 2.48% |
3 Rooms | 27, 0.66%, see rank | 7.62% | 9.13% |
4 Rooms | 173, 4.24%, see rank | 12.84% | 16.60% |
5 Rooms | 294, 7.20%, see rank | 14.80% | 20.41% |
6 Rooms | 766, 18.76%, see rank | 17.19% | 18.06% |
7 Rooms | 813, 19.91%, see rank | 14.01% | 12.27% |
8 Rooms | 719, 17.61%, see rank | 11.30% | 8.48% |
9 Rooms or More | 1,249, 30.58%, see rank | 19.47% | 10.60% |
Median Rooms | 7.40, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21102 Zip Code | Maryland | U.S. |
Total Housing Units | 4,432, 100% | 2,378,932 | 131,642,457 |
1 Room | 17, 0.38%, see rank | 1.19% | 1.95% |
2 Rooms | 32, 0.72%, see rank | 1.55% | 2.36% |
3 Rooms | 15, 0.34%, see rank | 7.57% | 8.97% |
4 Rooms | 228, 5.14%, see rank | 12.93% | 16.57% |
5 Rooms | 422, 9.52%, see rank | 14.68% | 20.41% |
6 Rooms | 1,032, 23.29%, see rank | 17.04% | 18.25% |
7 Rooms | 751, 16.94%, see rank | 14.15% | 12.38% |
8 Rooms | 812, 18.32%, see rank | 11.43% | 8.59% |
9 Rooms or More | 1,123, 25.34%, see rank | 19.46% | 10.52% |
Median Rooms | 7.10, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21102 Zip Code | Maryland | U.S. |
Total Housing Units | 3,312, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 0, 0.00%, see rank | 3.52% | 4.81% |
3 Rooms | 89, 2.69%, see rank | 8.03% | 9.84% |
4 Rooms | 165, 4.98%, see rank | 11.67% | 15.97% |
5 Rooms | 488, 14.73%, see rank | 15.60% | 20.89% |
6 Rooms | 711, 21.47%, see rank | 18.50% | 18.45% |
7 Rooms | 753, 22.74%, see rank | 14.10% | 12.06% |
8 Rooms | 492, 14.86%, see rank | 12.17% | 8.06% |
9 Rooms or More | 614, 18.54%, see rank | 14.91% | 7.70% |
Median Rooms | 6.80, 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.