99009 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 99009 Zip Code | Washington | U.S. |
Total Housing Units | 1,604, 100% | 2,921,364 | 132,741,033 |
1 Room | 25, 1.56%, see rank | 2.33% | 1.95% |
2 Rooms | 28, 1.75%, see rank | 3.74% | 2.48% |
3 Rooms | 122, 7.61%, see rank | 9.41% | 9.13% |
4 Rooms | 173, 10.79%, see rank | 16.24% | 16.60% |
5 Rooms | 318, 19.83%, see rank | 18.01% | 20.41% |
6 Rooms | 379, 23.63%, see rank | 16.48% | 18.06% |
7 Rooms | 106, 6.61%, see rank | 12.37% | 12.27% |
8 Rooms | 129, 8.04%, see rank | 9.01% | 8.48% |
9 Rooms or More | 324, 20.20%, see rank | 12.40% | 10.60% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 99009 Zip Code | Washington | U.S. |
Total Housing Units | 1,797, 100% | 2,884,186 | 131,642,457 |
1 Room | 25, 1.39%, see rank | 2.22% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.62% | 2.36% |
3 Rooms | 73, 4.06%, see rank | 9.34% | 8.97% |
4 Rooms | 107, 5.95%, see rank | 16.27% | 16.57% |
5 Rooms | 424, 23.59%, see rank | 17.90% | 20.41% |
6 Rooms | 494, 27.49%, see rank | 16.57% | 18.25% |
7 Rooms | 166, 9.24%, see rank | 12.53% | 12.38% |
8 Rooms | 140, 7.79%, see rank | 9.21% | 8.59% |
9 Rooms or More | 368, 20.48%, see rank | 12.35% | 10.52% |
Median Rooms | 6.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| 99009 Zip Code | Washington | U.S. |
Total Housing Units | 1,375, 100% | 2,451,075 | 115,904,641 |
1 Room | 5, 0.36%, see rank | 2.95% | 2.20% |
2 Rooms | 30, 2.18%, see rank | 5.85% | 4.81% |
3 Rooms | 98, 7.13%, see rank | 10.19% | 9.84% |
4 Rooms | 173, 12.58%, see rank | 15.45% | 15.97% |
5 Rooms | 347, 25.24%, see rank | 17.62% | 20.89% |
6 Rooms | 301, 21.89%, see rank | 16.35% | 18.45% |
7 Rooms | 130, 9.45%, see rank | 12.67% | 12.06% |
8 Rooms | 127, 9.24%, see rank | 8.96% | 8.06% |
9 Rooms or More | 164, 11.93%, see rank | 9.95% | 7.70% |
Median Rooms | 5.60, 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.