21629 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 21629 Zip Code | Maryland | U.S. |
Total Housing Units | 4,025, 100% | 2,399,375 | 132,741,033 |
1 Room | 85, 2.11%, see rank | 1.15% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.62% | 2.48% |
3 Rooms | 221, 5.49%, see rank | 7.62% | 9.13% |
4 Rooms | 397, 9.86%, see rank | 12.84% | 16.60% |
5 Rooms | 751, 18.66%, see rank | 14.80% | 20.41% |
6 Rooms | 689, 17.12%, see rank | 17.19% | 18.06% |
7 Rooms | 567, 14.09%, see rank | 14.01% | 12.27% |
8 Rooms | 721, 17.91%, see rank | 11.30% | 8.48% |
9 Rooms or More | 594, 14.76%, see rank | 19.47% | 10.60% |
Median Rooms | 6.30, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 21629 Zip Code | Maryland | U.S. |
Total Housing Units | 3,751, 100% | 2,378,932 | 131,642,457 |
1 Room | 77, 2.05%, see rank | 1.19% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 1.55% | 2.36% |
3 Rooms | 215, 5.73%, see rank | 7.57% | 8.97% |
4 Rooms | 319, 8.50%, see rank | 12.93% | 16.57% |
5 Rooms | 678, 18.08%, see rank | 14.68% | 20.41% |
6 Rooms | 920, 24.53%, see rank | 17.04% | 18.25% |
7 Rooms | 615, 16.40%, see rank | 14.15% | 12.38% |
8 Rooms | 443, 11.81%, see rank | 11.43% | 8.59% |
9 Rooms or More | 484, 12.90%, see rank | 19.46% | 10.52% |
Median Rooms | 6.10, see rank | 6.20 | 5.50 |
US Census 2000 data
| 21629 Zip Code | Maryland | U.S. |
Total Housing Units | 3,232, 100% | 2,145,283 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 1.50% | 2.20% |
2 Rooms | 6, 0.19%, see rank | 3.52% | 4.81% |
3 Rooms | 192, 5.94%, see rank | 8.03% | 9.84% |
4 Rooms | 428, 13.24%, see rank | 11.67% | 15.97% |
5 Rooms | 635, 19.65%, see rank | 15.60% | 20.89% |
6 Rooms | 765, 23.67%, see rank | 18.50% | 18.45% |
7 Rooms | 445, 13.77%, see rank | 14.10% | 12.06% |
8 Rooms | 375, 11.60%, see rank | 12.17% | 8.06% |
9 Rooms or More | 386, 11.94%, see rank | 14.91% | 7.70% |
Median Rooms | 6.00, 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.