19947 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19947 Zip Code | Delaware | U.S. |
Total Housing Units | 6,121, 100% | 411,250 | 132,741,033 |
1 Room | 30, 0.49%, see rank | 0.92% | 1.95% |
2 Rooms | 30, 0.49%, see rank | 0.90% | 2.48% |
3 Rooms | 240, 3.92%, see rank | 5.98% | 9.13% |
4 Rooms | 576, 9.41%, see rank | 12.21% | 16.60% |
5 Rooms | 1,334, 21.79%, see rank | 17.24% | 20.41% |
6 Rooms | 1,486, 24.28%, see rank | 19.55% | 18.06% |
7 Rooms | 870, 14.21%, see rank | 15.55% | 12.27% |
8 Rooms | 845, 13.80%, see rank | 11.93% | 8.48% |
9 Rooms or More | 710, 11.60%, see rank | 15.72% | 10.60% |
Median Rooms | 6.10, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 19947 Zip Code | Delaware | U.S. |
Total Housing Units | 6,300, 100% | 405,883 | 131,642,457 |
1 Room | 75, 1.19%, see rank | 1.10% | 1.95% |
2 Rooms | 92, 1.46%, see rank | 0.93% | 2.36% |
3 Rooms | 221, 3.51%, see rank | 6.13% | 8.97% |
4 Rooms | 676, 10.73%, see rank | 12.03% | 16.57% |
5 Rooms | 1,259, 19.98%, see rank | 17.01% | 20.41% |
6 Rooms | 1,518, 24.10%, see rank | 19.53% | 18.25% |
7 Rooms | 1,010, 16.03%, see rank | 15.06% | 12.38% |
8 Rooms | 799, 12.68%, see rank | 12.29% | 8.59% |
9 Rooms or More | 650, 10.32%, see rank | 15.93% | 10.52% |
Median Rooms | 6.00, see rank | 6.20 | 5.50 |
US Census 2000 data
| 19947 Zip Code | Delaware | U.S. |
Total Housing Units | 5,256, 100% | 343,072 | 115,904,641 |
1 Room | 22, 0.42%, see rank | 0.89% | 2.20% |
2 Rooms | 124, 2.36%, see rank | 2.55% | 4.81% |
3 Rooms | 369, 7.02%, see rank | 6.58% | 9.84% |
4 Rooms | 750, 14.27%, see rank | 12.61% | 15.97% |
5 Rooms | 1,355, 25.78%, see rank | 18.48% | 20.89% |
6 Rooms | 978, 18.61%, see rank | 20.49% | 18.45% |
7 Rooms | 834, 15.87%, see rank | 15.12% | 12.06% |
8 Rooms | 428, 8.14%, see rank | 12.17% | 8.06% |
9 Rooms or More | 396, 7.53%, see rank | 11.11% | 7.70% |
Median Rooms | 5.50, see rank | 5.90 | 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.