21010 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 21010 Zip Code | Maryland | U.S. |
| Total Housing Units | 56, 100% | 2,399,375 | 132,741,033 |
| 1 Room | 9, 16.07%, see rank | 1.15% | 1.95% |
| 2 Rooms | 5, 8.93%, see rank | 1.62% | 2.48% |
| 3 Rooms | 0, 0.00%, see rank | 7.62% | 9.13% |
| 4 Rooms | 0, 0.00%, see rank | 12.84% | 16.60% |
| 5 Rooms | 18, 32.14%, see rank | 14.80% | 20.41% |
| 6 Rooms | 9, 16.07%, see rank | 17.19% | 18.06% |
| 7 Rooms | 0, 0.00%, see rank | 14.01% | 12.27% |
| 8 Rooms | 0, 0.00%, see rank | 11.30% | 8.48% |
| 9 Rooms or More | 15, 26.79%, see rank | 19.47% | 10.60% |
| Median Rooms | 5.30, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| | 21010 Zip Code | Maryland | U.S. |
| Total Housing Units | 149, 100% | 2,378,932 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
| 3 Rooms | 0, 0.00%, see rank | 7.57% | 8.97% |
| 4 Rooms | 0, 0.00%, see rank | 12.93% | 16.57% |
| 5 Rooms | 17, 11.41%, see rank | 14.68% | 20.41% |
| 6 Rooms | 64, 42.95%, see rank | 17.04% | 18.25% |
| 7 Rooms | 37, 24.83%, see rank | 14.15% | 12.38% |
| 8 Rooms | 26, 17.45%, see rank | 11.43% | 8.59% |
| 9 Rooms or More | 5, 3.36%, see rank | 19.46% | 10.52% |
| Median Rooms | 6.40, see rank | 6.20 | 5.50 |
US Census 2000 data
| | 21010 Zip Code | Maryland | U.S. |
| Total Housing Units | 286, 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 | 18, 6.29%, see rank | 8.03% | 9.84% |
| 4 Rooms | 7, 2.45%, see rank | 11.67% | 15.97% |
| 5 Rooms | 101, 35.31%, see rank | 15.60% | 20.89% |
| 6 Rooms | 29, 10.14%, see rank | 18.50% | 18.45% |
| 7 Rooms | 91, 31.82%, see rank | 14.10% | 12.06% |
| 8 Rooms | 20, 6.99%, see rank | 12.17% | 8.06% |
| 9 Rooms or More | 20, 6.99%, see rank | 14.91% | 7.70% |
| Median Rooms | 6.10, 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.
