20617 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 20617 Zip Code | Maryland | U.S. |
| Total Housing Units | 310, 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 | 0, 0.00%, see rank | 7.62% | 9.13% |
| 4 Rooms | 12, 3.87%, see rank | 12.84% | 16.60% |
| 5 Rooms | 0, 0.00%, see rank | 14.80% | 20.41% |
| 6 Rooms | 55, 17.74%, see rank | 17.19% | 18.06% |
| 7 Rooms | 60, 19.35%, see rank | 14.01% | 12.27% |
| 8 Rooms | 30, 9.68%, see rank | 11.30% | 8.48% |
| 9 Rooms or More | 153, 49.35%, see rank | 19.47% | 10.60% |
| Median Rooms | 8.40, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| | 20617 Zip Code | Maryland | U.S. |
| Total Housing Units | 264, 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 | 9, 3.41%, see rank | 12.93% | 16.57% |
| 5 Rooms | 0, 0.00%, see rank | 14.68% | 20.41% |
| 6 Rooms | 56, 21.21%, see rank | 17.04% | 18.25% |
| 7 Rooms | 50, 18.94%, see rank | 14.15% | 12.38% |
| 8 Rooms | 24, 9.09%, see rank | 11.43% | 8.59% |
| 9 Rooms or More | 125, 47.35%, see rank | 19.46% | 10.52% |
| Median Rooms | 8.20, see rank | 6.20 | 5.50 |
US Census 2000 data
| | 20617 Zip Code | Maryland | U.S. |
| Total Housing Units | 254, 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 | 0, 0.00%, see rank | 8.03% | 9.84% |
| 4 Rooms | 0, 0.00%, see rank | 11.67% | 15.97% |
| 5 Rooms | 42, 16.54%, see rank | 15.60% | 20.89% |
| 6 Rooms | 28, 11.02%, see rank | 18.50% | 18.45% |
| 7 Rooms | 69, 27.17%, see rank | 14.10% | 12.06% |
| 8 Rooms | 32, 12.60%, see rank | 12.17% | 8.06% |
| 9 Rooms or More | 83, 32.68%, see rank | 14.91% | 7.70% |
| Median Rooms | 7.30, 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.
