50315 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 50315 Zip Code | Iowa | U.S. |
Total Housing Units | 15,204, 100% | 1,348,151 | 132,741,033 |
1 Room | 128, 0.84%, see rank | 1.15% | 1.95% |
2 Rooms | 288, 1.89%, see rank | 2.07% | 2.48% |
3 Rooms | 1,499, 9.86%, see rank | 7.28% | 9.13% |
4 Rooms | 3,371, 22.17%, see rank | 14.50% | 16.60% |
5 Rooms | 3,733, 24.55%, see rank | 18.57% | 20.41% |
6 Rooms | 2,668, 17.55%, see rank | 17.20% | 18.06% |
7 Rooms | 1,546, 10.17%, see rank | 13.83% | 12.27% |
8 Rooms | 878, 5.77%, see rank | 10.61% | 8.48% |
9 Rooms or More | 1,093, 7.19%, see rank | 14.79% | 10.60% |
Median Rooms | 5.10, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| 50315 Zip Code | Iowa | U.S. |
Total Housing Units | 15,404, 100% | 1,337,410 | 131,642,457 |
1 Room | 126, 0.82%, see rank | 1.15% | 1.95% |
2 Rooms | 318, 2.06%, see rank | 1.85% | 2.36% |
3 Rooms | 1,732, 11.24%, see rank | 6.96% | 8.97% |
4 Rooms | 3,611, 23.44%, see rank | 14.80% | 16.57% |
5 Rooms | 3,702, 24.03%, see rank | 18.53% | 20.41% |
6 Rooms | 2,759, 17.91%, see rank | 17.38% | 18.25% |
7 Rooms | 1,419, 9.21%, see rank | 13.77% | 12.38% |
8 Rooms | 814, 5.28%, see rank | 11.08% | 8.59% |
9 Rooms or More | 923, 5.99%, see rank | 14.48% | 10.52% |
Median Rooms | 5.00, see rank | 5.90 | 5.50 |
US Census 2000 data
| 50315 Zip Code | Iowa | U.S. |
Total Housing Units | 15,105, 100% | 1,232,511 | 115,904,641 |
1 Room | 177, 1.17%, see rank | 0.94% | 2.20% |
2 Rooms | 581, 3.85%, see rank | 2.91% | 4.81% |
3 Rooms | 1,666, 11.03%, see rank | 7.16% | 9.84% |
4 Rooms | 3,207, 21.23%, see rank | 15.35% | 15.97% |
5 Rooms | 3,793, 25.11%, see rank | 20.53% | 20.89% |
6 Rooms | 2,715, 17.97%, see rank | 18.30% | 18.45% |
7 Rooms | 1,599, 10.59%, see rank | 13.96% | 12.06% |
8 Rooms | 782, 5.18%, see rank | 10.55% | 8.06% |
9 Rooms or More | 585, 3.87%, see rank | 10.31% | 7.70% |
Median Rooms | 5.00, see rank | 5.70 | 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.