98465 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 98465 Zip Code | Washington | U.S. |
Total Housing Units | 3,340, 100% | 2,921,364 | 132,741,033 |
1 Room | 57, 1.71%, see rank | 2.33% | 1.95% |
2 Rooms | 227, 6.80%, see rank | 3.74% | 2.48% |
3 Rooms | 528, 15.81%, see rank | 9.41% | 9.13% |
4 Rooms | 784, 23.47%, see rank | 16.24% | 16.60% |
5 Rooms | 655, 19.61%, see rank | 18.01% | 20.41% |
6 Rooms | 420, 12.57%, see rank | 16.48% | 18.06% |
7 Rooms | 239, 7.16%, see rank | 12.37% | 12.27% |
8 Rooms | 151, 4.52%, see rank | 9.01% | 8.48% |
9 Rooms or More | 279, 8.35%, see rank | 12.40% | 10.60% |
Median Rooms | 4.60, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 98465 Zip Code | Washington | U.S. |
Total Housing Units | 3,077, 100% | 2,884,186 | 131,642,457 |
1 Room | 49, 1.59%, see rank | 2.22% | 1.95% |
2 Rooms | 183, 5.95%, see rank | 3.62% | 2.36% |
3 Rooms | 430, 13.97%, see rank | 9.34% | 8.97% |
4 Rooms | 784, 25.48%, see rank | 16.27% | 16.57% |
5 Rooms | 507, 16.48%, see rank | 17.90% | 20.41% |
6 Rooms | 360, 11.70%, see rank | 16.57% | 18.25% |
7 Rooms | 283, 9.20%, see rank | 12.53% | 12.38% |
8 Rooms | 178, 5.78%, see rank | 9.21% | 8.59% |
9 Rooms or More | 303, 9.85%, see rank | 12.35% | 10.52% |
Median Rooms | 4.70, see rank | 5.50 | 5.50 |
US Census 2000 data
| 98465 Zip Code | Washington | U.S. |
Total Housing Units | 3,080, 100% | 2,451,075 | 115,904,641 |
1 Room | 102, 3.31%, see rank | 2.95% | 2.20% |
2 Rooms | 231, 7.50%, see rank | 5.85% | 4.81% |
3 Rooms | 530, 17.21%, see rank | 10.19% | 9.84% |
4 Rooms | 654, 21.23%, see rank | 15.45% | 15.97% |
5 Rooms | 445, 14.45%, see rank | 17.62% | 20.89% |
6 Rooms | 312, 10.13%, see rank | 16.35% | 18.45% |
7 Rooms | 269, 8.73%, see rank | 12.67% | 12.06% |
8 Rooms | 253, 8.21%, see rank | 8.96% | 8.06% |
9 Rooms or More | 284, 9.22%, see rank | 9.95% | 7.70% |
Median Rooms | 4.60, see rank | 5.40 | 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.