Oldtown, MD Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | Oldtown, MD | Maryland | U.S. |
| Total Housing Units | 19, 100% | 2,399,375 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.62% | 2.48% |
| 3 Rooms | 8, 42.11%, see rank | 7.62% | 9.13% |
| 4 Rooms | 0, 0.00%, see rank | 12.84% | 16.60% |
| 5 Rooms | 0, 0.00%, see rank | 14.80% | 20.41% |
| 6 Rooms | 0, 0.00%, see rank | 17.19% | 18.06% |
| 7 Rooms | 11, 57.89%, see rank | 14.01% | 12.27% |
| 8 Rooms | 0, 0.00%, see rank | 11.30% | 8.48% |
| 9 Rooms or More | 0, 0.00%, see rank | 19.47% | 10.60% |
| Median Rooms | 0.00, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| | Oldtown, MD | Maryland | U.S. |
| Total Housing Units | 22, 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 | 7, 31.82%, see rank | 7.57% | 8.97% |
| 4 Rooms | 0, 0.00%, see rank | 12.93% | 16.57% |
| 5 Rooms | 0, 0.00%, see rank | 14.68% | 20.41% |
| 6 Rooms | 15, 68.18%, see rank | 17.04% | 18.25% |
| 7 Rooms | 0, 0.00%, see rank | 14.15% | 12.38% |
| 8 Rooms | 0, 0.00%, see rank | 11.43% | 8.59% |
| 9 Rooms or More | 0, 0.00%, see rank | 19.46% | 10.52% |
| Median Rooms | 5.80, see rank | 6.20 | 5.50 |
ACS 2006-2010 data
| | Oldtown, MD | Maryland | U.S. |
| Total Housing Units | 8, 100% | 2,354,870 | 130,038,080 |
| 1 Room | 0, 0.00%, see rank | 0.94% | 1.59% |
| 2 Rooms | 0, 0.00%, see rank | 1.91% | 2.62% |
| 3 Rooms | 0, 0.00%, see rank | 7.80% | 9.02% |
| 4 Rooms | 0, 0.00%, see rank | 13.02% | 16.85% |
| 5 Rooms | 0, 0.00%, see rank | 15.24% | 20.93% |
| 6 Rooms | 8, 100.00%, see rank | 17.31% | 18.56% |
| 7 Rooms | 0, 0.00%, see rank | 14.12% | 12.38% |
| 8 Rooms | 0, 0.00%, see rank | 11.38% | 8.39% |
| 9 Rooms or More | 0, 0.00%, see rank | 18.27% | 9.65% |
| Median Rooms | 0.00, see rank | 6.10 | 5.50 |
* 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.
