19973 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19973 Zip Code | Delaware | U.S. |
Total Housing Units | 9,847, 100% | 411,250 | 132,741,033 |
1 Room | 29, 0.29%, see rank | 0.92% | 1.95% |
2 Rooms | 94, 0.95%, see rank | 0.90% | 2.48% |
3 Rooms | 505, 5.13%, see rank | 5.98% | 9.13% |
4 Rooms | 1,567, 15.91%, see rank | 12.21% | 16.60% |
5 Rooms | 2,099, 21.32%, see rank | 17.24% | 20.41% |
6 Rooms | 1,668, 16.94%, see rank | 19.55% | 18.06% |
7 Rooms | 1,526, 15.50%, see rank | 15.55% | 12.27% |
8 Rooms | 1,017, 10.33%, see rank | 11.93% | 8.48% |
9 Rooms or More | 1,342, 13.63%, see rank | 15.72% | 10.60% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 19973 Zip Code | Delaware | U.S. |
Total Housing Units | 9,388, 100% | 405,883 | 131,642,457 |
1 Room | 12, 0.13%, see rank | 1.10% | 1.95% |
2 Rooms | 93, 0.99%, see rank | 0.93% | 2.36% |
3 Rooms | 375, 3.99%, see rank | 6.13% | 8.97% |
4 Rooms | 1,357, 14.45%, see rank | 12.03% | 16.57% |
5 Rooms | 2,005, 21.36%, see rank | 17.01% | 20.41% |
6 Rooms | 2,000, 21.30%, see rank | 19.53% | 18.25% |
7 Rooms | 1,352, 14.40%, see rank | 15.06% | 12.38% |
8 Rooms | 964, 10.27%, see rank | 12.29% | 8.59% |
9 Rooms or More | 1,230, 13.10%, see rank | 15.93% | 10.52% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
US Census 2000 data
| 19973 Zip Code | Delaware | U.S. |
Total Housing Units | 8,767, 100% | 343,072 | 115,904,641 |
1 Room | 36, 0.41%, see rank | 0.89% | 2.20% |
2 Rooms | 167, 1.90%, see rank | 2.55% | 4.81% |
3 Rooms | 441, 5.03%, see rank | 6.58% | 9.84% |
4 Rooms | 1,292, 14.74%, see rank | 12.61% | 15.97% |
5 Rooms | 1,800, 20.53%, see rank | 18.48% | 20.89% |
6 Rooms | 1,871, 21.34%, see rank | 20.49% | 18.45% |
7 Rooms | 1,384, 15.79%, see rank | 15.12% | 12.06% |
8 Rooms | 944, 10.77%, see rank | 12.17% | 8.06% |
9 Rooms or More | 832, 9.49%, 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.