19952 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19952 Zip Code | Delaware | U.S. |
Total Housing Units | 4,333, 100% | 411,250 | 132,741,033 |
1 Room | 38, 0.88%, see rank | 0.92% | 1.95% |
2 Rooms | 44, 1.02%, see rank | 0.90% | 2.48% |
3 Rooms | 311, 7.18%, see rank | 5.98% | 9.13% |
4 Rooms | 453, 10.45%, see rank | 12.21% | 16.60% |
5 Rooms | 844, 19.48%, see rank | 17.24% | 20.41% |
6 Rooms | 919, 21.21%, see rank | 19.55% | 18.06% |
7 Rooms | 622, 14.35%, see rank | 15.55% | 12.27% |
8 Rooms | 462, 10.66%, see rank | 11.93% | 8.48% |
9 Rooms or More | 640, 14.77%, see rank | 15.72% | 10.60% |
Median Rooms | 6.00, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 19952 Zip Code | Delaware | U.S. |
Total Housing Units | 4,128, 100% | 405,883 | 131,642,457 |
1 Room | 53, 1.28%, see rank | 1.10% | 1.95% |
2 Rooms | 42, 1.02%, see rank | 0.93% | 2.36% |
3 Rooms | 253, 6.13%, see rank | 6.13% | 8.97% |
4 Rooms | 455, 11.02%, see rank | 12.03% | 16.57% |
5 Rooms | 849, 20.57%, see rank | 17.01% | 20.41% |
6 Rooms | 873, 21.15%, see rank | 19.53% | 18.25% |
7 Rooms | 626, 15.16%, see rank | 15.06% | 12.38% |
8 Rooms | 483, 11.70%, see rank | 12.29% | 8.59% |
9 Rooms or More | 494, 11.97%, see rank | 15.93% | 10.52% |
Median Rooms | 6.00, see rank | 6.20 | 5.50 |
US Census 2000 data
| 19952 Zip Code | Delaware | U.S. |
Total Housing Units | 3,284, 100% | 343,072 | 115,904,641 |
1 Room | 14, 0.43%, see rank | 0.89% | 2.20% |
2 Rooms | 24, 0.73%, see rank | 2.55% | 4.81% |
3 Rooms | 166, 5.05%, see rank | 6.58% | 9.84% |
4 Rooms | 420, 12.79%, see rank | 12.61% | 15.97% |
5 Rooms | 813, 24.76%, see rank | 18.48% | 20.89% |
6 Rooms | 715, 21.77%, see rank | 20.49% | 18.45% |
7 Rooms | 547, 16.66%, see rank | 15.12% | 12.06% |
8 Rooms | 268, 8.16%, see rank | 12.17% | 8.06% |
9 Rooms or More | 317, 9.65%, see rank | 11.11% | 7.70% |
Median Rooms | 5.80, 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.