99156 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 99156 Zip Code | Washington | U.S. |
Total Housing Units | 4,743, 100% | 2,921,364 | 132,741,033 |
1 Room | 85, 1.79%, see rank | 2.33% | 1.95% |
2 Rooms | 132, 2.78%, see rank | 3.74% | 2.48% |
3 Rooms | 539, 11.36%, see rank | 9.41% | 9.13% |
4 Rooms | 573, 12.08%, see rank | 16.24% | 16.60% |
5 Rooms | 861, 18.15%, see rank | 18.01% | 20.41% |
6 Rooms | 801, 16.89%, see rank | 16.48% | 18.06% |
7 Rooms | 750, 15.81%, see rank | 12.37% | 12.27% |
8 Rooms | 439, 9.26%, see rank | 9.01% | 8.48% |
9 Rooms or More | 563, 11.87%, see rank | 12.40% | 10.60% |
Median Rooms | 5.70, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 99156 Zip Code | Washington | U.S. |
Total Housing Units | 4,956, 100% | 2,884,186 | 131,642,457 |
1 Room | 69, 1.39%, see rank | 2.22% | 1.95% |
2 Rooms | 247, 4.98%, see rank | 3.62% | 2.36% |
3 Rooms | 478, 9.64%, see rank | 9.34% | 8.97% |
4 Rooms | 806, 16.26%, see rank | 16.27% | 16.57% |
5 Rooms | 900, 18.16%, see rank | 17.90% | 20.41% |
6 Rooms | 779, 15.72%, see rank | 16.57% | 18.25% |
7 Rooms | 730, 14.73%, see rank | 12.53% | 12.38% |
8 Rooms | 446, 9.00%, see rank | 9.21% | 8.59% |
9 Rooms or More | 501, 10.11%, see rank | 12.35% | 10.52% |
Median Rooms | 5.50, see rank | 5.50 | 5.50 |
US Census 2000 data
| 99156 Zip Code | Washington | U.S. |
Total Housing Units | 3,807, 100% | 2,451,075 | 115,904,641 |
1 Room | 178, 4.68%, see rank | 2.95% | 2.20% |
2 Rooms | 246, 6.46%, see rank | 5.85% | 4.81% |
3 Rooms | 425, 11.16%, see rank | 10.19% | 9.84% |
4 Rooms | 662, 17.39%, see rank | 15.45% | 15.97% |
5 Rooms | 872, 22.91%, see rank | 17.62% | 20.89% |
6 Rooms | 506, 13.29%, see rank | 16.35% | 18.45% |
7 Rooms | 365, 9.59%, see rank | 12.67% | 12.06% |
8 Rooms | 312, 8.20%, see rank | 8.96% | 8.06% |
9 Rooms or More | 241, 6.33%, see rank | 9.95% | 7.70% |
Median Rooms | 5.00, 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.