98595 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 98595 Zip Code | Washington | U.S. |
Total Housing Units | 2,115, 100% | 2,921,364 | 132,741,033 |
1 Room | 106, 5.01%, see rank | 2.33% | 1.95% |
2 Rooms | 182, 8.61%, see rank | 3.74% | 2.48% |
3 Rooms | 439, 20.76%, see rank | 9.41% | 9.13% |
4 Rooms | 593, 28.04%, see rank | 16.24% | 16.60% |
5 Rooms | 254, 12.01%, see rank | 18.01% | 20.41% |
6 Rooms | 285, 13.48%, see rank | 16.48% | 18.06% |
7 Rooms | 87, 4.11%, see rank | 12.37% | 12.27% |
8 Rooms | 95, 4.49%, see rank | 9.01% | 8.48% |
9 Rooms or More | 74, 3.50%, see rank | 12.40% | 10.60% |
Median Rooms | 4.10, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 98595 Zip Code | Washington | U.S. |
Total Housing Units | 1,891, 100% | 2,884,186 | 131,642,457 |
1 Room | 91, 4.81%, see rank | 2.22% | 1.95% |
2 Rooms | 182, 9.62%, see rank | 3.62% | 2.36% |
3 Rooms | 354, 18.72%, see rank | 9.34% | 8.97% |
4 Rooms | 607, 32.10%, see rank | 16.27% | 16.57% |
5 Rooms | 302, 15.97%, see rank | 17.90% | 20.41% |
6 Rooms | 153, 8.09%, see rank | 16.57% | 18.25% |
7 Rooms | 61, 3.23%, see rank | 12.53% | 12.38% |
8 Rooms | 48, 2.54%, see rank | 9.21% | 8.59% |
9 Rooms or More | 93, 4.92%, see rank | 12.35% | 10.52% |
Median Rooms | 4.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 98595 Zip Code | Washington | U.S. |
Total Housing Units | 1,896, 100% | 2,451,075 | 115,904,641 |
1 Room | 129, 6.80%, see rank | 2.95% | 2.20% |
2 Rooms | 87, 4.59%, see rank | 5.85% | 4.81% |
3 Rooms | 223, 11.76%, see rank | 10.19% | 9.84% |
4 Rooms | 468, 24.68%, see rank | 15.45% | 15.97% |
5 Rooms | 432, 22.78%, see rank | 17.62% | 20.89% |
6 Rooms | 305, 16.09%, see rank | 16.35% | 18.45% |
7 Rooms | 136, 7.17%, see rank | 12.67% | 12.06% |
8 Rooms | 65, 3.43%, see rank | 8.96% | 8.06% |
9 Rooms or More | 51, 2.69%, 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.