19970 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 19970 Zip Code | Delaware | U.S. |
Total Housing Units | 7,204, 100% | 411,250 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 0.92% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 0.90% | 2.48% |
3 Rooms | 189, 2.62%, see rank | 5.98% | 9.13% |
4 Rooms | 1,043, 14.48%, see rank | 12.21% | 16.60% |
5 Rooms | 1,362, 18.91%, see rank | 17.24% | 20.41% |
6 Rooms | 1,777, 24.67%, see rank | 19.55% | 18.06% |
7 Rooms | 1,217, 16.89%, see rank | 15.55% | 12.27% |
8 Rooms | 726, 10.08%, see rank | 11.93% | 8.48% |
9 Rooms or More | 890, 12.35%, see rank | 15.72% | 10.60% |
Median Rooms | 6.10, see rank | 6.20 | 5.50 |
ACS 2008-2012 data
| 19970 Zip Code | Delaware | U.S. |
Total Housing Units | 7,074, 100% | 405,883 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.10% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 0.93% | 2.36% |
3 Rooms | 345, 4.88%, see rank | 6.13% | 8.97% |
4 Rooms | 853, 12.06%, see rank | 12.03% | 16.57% |
5 Rooms | 1,606, 22.70%, see rank | 17.01% | 20.41% |
6 Rooms | 1,793, 25.35%, see rank | 19.53% | 18.25% |
7 Rooms | 927, 13.10%, see rank | 15.06% | 12.38% |
8 Rooms | 778, 11.00%, see rank | 12.29% | 8.59% |
9 Rooms or More | 772, 10.91%, see rank | 15.93% | 10.52% |
Median Rooms | 5.90, see rank | 6.20 | 5.50 |
US Census 2000 data
| 19970 Zip Code | Delaware | U.S. |
Total Housing Units | 3,924, 100% | 343,072 | 115,904,641 |
1 Room | 13, 0.33%, see rank | 0.89% | 2.20% |
2 Rooms | 47, 1.20%, see rank | 2.55% | 4.81% |
3 Rooms | 128, 3.26%, see rank | 6.58% | 9.84% |
4 Rooms | 643, 16.39%, see rank | 12.61% | 15.97% |
5 Rooms | 827, 21.08%, see rank | 18.48% | 20.89% |
6 Rooms | 1,092, 27.83%, see rank | 20.49% | 18.45% |
7 Rooms | 739, 18.83%, see rank | 15.12% | 12.06% |
8 Rooms | 235, 5.99%, see rank | 12.17% | 8.06% |
9 Rooms or More | 200, 5.10%, 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.