21769 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21769 Zip Code | Maryland | U.S. |
Total Housing Units | 4,192, 100% | 2,399,375 | 132,741,033 |
1 Room | 25, 0.60%, see rank | 1.15% | 1.95% |
2 Rooms | 47, 1.12%, see rank | 1.62% | 2.48% |
3 Rooms | 113, 2.70%, see rank | 7.62% | 9.13% |
4 Rooms | 138, 3.29%, see rank | 12.84% | 16.60% |
5 Rooms | 256, 6.11%, see rank | 14.80% | 20.41% |
6 Rooms | 471, 11.24%, see rank | 17.19% | 18.06% |
7 Rooms | 541, 12.91%, see rank | 14.01% | 12.27% |
8 Rooms | 734, 17.51%, see rank | 11.30% | 8.48% |
9 Rooms or More | 1,867, 44.54%, see rank | 19.47% | 10.60% |
Median Rooms | 8.20, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21769 Zip Code | Maryland | U.S. |
Total Housing Units | 4,249, 100% | 2,378,932 | 131,642,457 |
1 Room | 27, 0.64%, see rank | 1.19% | 1.95% |
2 Rooms | 23, 0.54%, see rank | 1.55% | 2.36% |
3 Rooms | 119, 2.80%, see rank | 7.57% | 8.97% |
4 Rooms | 129, 3.04%, see rank | 12.93% | 16.57% |
5 Rooms | 218, 5.13%, see rank | 14.68% | 20.41% |
6 Rooms | 615, 14.47%, see rank | 17.04% | 18.25% |
7 Rooms | 578, 13.60%, see rank | 14.15% | 12.38% |
8 Rooms | 814, 19.16%, see rank | 11.43% | 8.59% |
9 Rooms or More | 1,726, 40.62%, see rank | 19.46% | 10.52% |
Median Rooms | 8.00, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21769 Zip Code | Maryland | U.S. |
Total Housing Units | 3,496, 100% | 2,145,283 | 115,904,641 |
1 Room | 4, 0.11%, see rank | 1.50% | 2.20% |
2 Rooms | 7, 0.20%, see rank | 3.52% | 4.81% |
3 Rooms | 73, 2.09%, see rank | 8.03% | 9.84% |
4 Rooms | 151, 4.32%, see rank | 11.67% | 15.97% |
5 Rooms | 284, 8.12%, see rank | 15.60% | 20.89% |
6 Rooms | 619, 17.71%, see rank | 18.50% | 18.45% |
7 Rooms | 590, 16.88%, see rank | 14.10% | 12.06% |
8 Rooms | 816, 23.34%, see rank | 12.17% | 8.06% |
9 Rooms or More | 952, 27.23%, see rank | 14.91% | 7.70% |
Median Rooms | 7.50, 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.