98591 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 98591 Zip Code | Washington | U.S. |
Total Housing Units | 1,630, 100% | 2,921,364 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 2.33% | 1.95% |
2 Rooms | 72, 4.42%, see rank | 3.74% | 2.48% |
3 Rooms | 78, 4.79%, see rank | 9.41% | 9.13% |
4 Rooms | 252, 15.46%, see rank | 16.24% | 16.60% |
5 Rooms | 264, 16.20%, see rank | 18.01% | 20.41% |
6 Rooms | 490, 30.06%, see rank | 16.48% | 18.06% |
7 Rooms | 199, 12.21%, see rank | 12.37% | 12.27% |
8 Rooms | 205, 12.58%, see rank | 9.01% | 8.48% |
9 Rooms or More | 70, 4.29%, see rank | 12.40% | 10.60% |
Median Rooms | 5.80, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 98591 Zip Code | Washington | U.S. |
Total Housing Units | 1,647, 100% | 2,884,186 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 2.22% | 1.95% |
2 Rooms | 69, 4.19%, see rank | 3.62% | 2.36% |
3 Rooms | 55, 3.34%, see rank | 9.34% | 8.97% |
4 Rooms | 281, 17.06%, see rank | 16.27% | 16.57% |
5 Rooms | 255, 15.48%, see rank | 17.90% | 20.41% |
6 Rooms | 411, 24.95%, see rank | 16.57% | 18.25% |
7 Rooms | 360, 21.86%, see rank | 12.53% | 12.38% |
8 Rooms | 119, 7.23%, see rank | 9.21% | 8.59% |
9 Rooms or More | 97, 5.89%, see rank | 12.35% | 10.52% |
Median Rooms | 5.90, see rank | 5.50 | 5.50 |
US Census 2000 data
| 98591 Zip Code | Washington | U.S. |
Total Housing Units | 1,224, 100% | 2,451,075 | 115,904,641 |
1 Room | 17, 1.39%, see rank | 2.95% | 2.20% |
2 Rooms | 26, 2.12%, see rank | 5.85% | 4.81% |
3 Rooms | 46, 3.76%, see rank | 10.19% | 9.84% |
4 Rooms | 161, 13.15%, see rank | 15.45% | 15.97% |
5 Rooms | 278, 22.71%, see rank | 17.62% | 20.89% |
6 Rooms | 297, 24.26%, see rank | 16.35% | 18.45% |
7 Rooms | 193, 15.77%, see rank | 12.67% | 12.06% |
8 Rooms | 156, 12.75%, see rank | 8.96% | 8.06% |
9 Rooms or More | 50, 4.08%, see rank | 9.95% | 7.70% |
Median Rooms | 5.80, 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.