21787 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21787 Zip Code | Maryland | U.S. |
Total Housing Units | 4,306, 100% | 2,399,375 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 14, 0.33%, see rank | 1.62% | 2.48% |
3 Rooms | 110, 2.55%, see rank | 7.62% | 9.13% |
4 Rooms | 198, 4.60%, see rank | 12.84% | 16.60% |
5 Rooms | 731, 16.98%, see rank | 14.80% | 20.41% |
6 Rooms | 872, 20.25%, see rank | 17.19% | 18.06% |
7 Rooms | 854, 19.83%, see rank | 14.01% | 12.27% |
8 Rooms | 625, 14.51%, see rank | 11.30% | 8.48% |
9 Rooms or More | 902, 20.95%, see rank | 19.47% | 10.60% |
Median Rooms | 6.80, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21787 Zip Code | Maryland | U.S. |
Total Housing Units | 4,486, 100% | 2,378,932 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.19% | 1.95% |
2 Rooms | 15, 0.33%, see rank | 1.55% | 2.36% |
3 Rooms | 122, 2.72%, see rank | 7.57% | 8.97% |
4 Rooms | 300, 6.69%, see rank | 12.93% | 16.57% |
5 Rooms | 690, 15.38%, see rank | 14.68% | 20.41% |
6 Rooms | 908, 20.24%, see rank | 17.04% | 18.25% |
7 Rooms | 872, 19.44%, see rank | 14.15% | 12.38% |
8 Rooms | 613, 13.66%, see rank | 11.43% | 8.59% |
9 Rooms or More | 966, 21.53%, see rank | 19.46% | 10.52% |
Median Rooms | 6.70, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21787 Zip Code | Maryland | U.S. |
Total Housing Units | 3,317, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 29, 0.87%, see rank | 3.52% | 4.81% |
3 Rooms | 104, 3.14%, see rank | 8.03% | 9.84% |
4 Rooms | 310, 9.35%, see rank | 11.67% | 15.97% |
5 Rooms | 623, 18.78%, see rank | 15.60% | 20.89% |
6 Rooms | 782, 23.58%, see rank | 18.50% | 18.45% |
7 Rooms | 574, 17.30%, see rank | 14.10% | 12.06% |
8 Rooms | 423, 12.75%, see rank | 12.17% | 8.06% |
9 Rooms or More | 472, 14.23%, see rank | 14.91% | 7.70% |
Median Rooms | 6.30, 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.