50108 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 50108 Zip Code | Iowa | U.S. |
| Total Housing Units | 271, 100% | 1,348,151 | 132,741,033 |
| 1 Room | 3, 1.11%, see rank | 1.15% | 1.95% |
| 2 Rooms | 2, 0.74%, see rank | 2.07% | 2.48% |
| 3 Rooms | 19, 7.01%, see rank | 7.28% | 9.13% |
| 4 Rooms | 27, 9.96%, see rank | 14.50% | 16.60% |
| 5 Rooms | 36, 13.28%, see rank | 18.57% | 20.41% |
| 6 Rooms | 39, 14.39%, see rank | 17.20% | 18.06% |
| 7 Rooms | 62, 22.88%, see rank | 13.83% | 12.27% |
| 8 Rooms | 44, 16.24%, see rank | 10.61% | 8.48% |
| 9 Rooms or More | 39, 14.39%, see rank | 14.79% | 10.60% |
| Median Rooms | 6.70, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| | 50108 Zip Code | Iowa | U.S. |
| Total Housing Units | 272, 100% | 1,337,410 | 131,642,457 |
| 1 Room | 19, 6.99%, see rank | 1.15% | 1.95% |
| 2 Rooms | 7, 2.57%, see rank | 1.85% | 2.36% |
| 3 Rooms | 10, 3.68%, see rank | 6.96% | 8.97% |
| 4 Rooms | 13, 4.78%, see rank | 14.80% | 16.57% |
| 5 Rooms | 31, 11.40%, see rank | 18.53% | 20.41% |
| 6 Rooms | 30, 11.03%, see rank | 17.38% | 18.25% |
| 7 Rooms | 100, 36.76%, see rank | 13.77% | 12.38% |
| 8 Rooms | 27, 9.93%, see rank | 11.08% | 8.59% |
| 9 Rooms or More | 35, 12.87%, see rank | 14.48% | 10.52% |
| Median Rooms | 6.80, see rank | 5.90 | 5.50 |
US Census 2000 data
| | 50108 Zip Code | Iowa | U.S. |
| Total Housing Units | 267, 100% | 1,232,511 | 115,904,641 |
| 1 Room | 6, 2.25%, see rank | 0.94% | 2.20% |
| 2 Rooms | 2, 0.75%, see rank | 2.91% | 4.81% |
| 3 Rooms | 24, 8.99%, see rank | 7.16% | 9.84% |
| 4 Rooms | 48, 17.98%, see rank | 15.35% | 15.97% |
| 5 Rooms | 59, 22.10%, see rank | 20.53% | 20.89% |
| 6 Rooms | 53, 19.85%, see rank | 18.30% | 18.45% |
| 7 Rooms | 42, 15.73%, see rank | 13.96% | 12.06% |
| 8 Rooms | 23, 8.61%, see rank | 10.55% | 8.06% |
| 9 Rooms or More | 10, 3.75%, see rank | 10.31% | 7.70% |
| Median Rooms | 5.40, 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.
