51448 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 51448 Zip Code | Iowa | U.S. |
| Total Housing Units | 295, 100% | 1,348,151 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 2.07% | 2.48% |
| 3 Rooms | 10, 3.39%, see rank | 7.28% | 9.13% |
| 4 Rooms | 40, 13.56%, see rank | 14.50% | 16.60% |
| 5 Rooms | 73, 24.75%, see rank | 18.57% | 20.41% |
| 6 Rooms | 47, 15.93%, see rank | 17.20% | 18.06% |
| 7 Rooms | 48, 16.27%, see rank | 13.83% | 12.27% |
| 8 Rooms | 57, 19.32%, see rank | 10.61% | 8.48% |
| 9 Rooms or More | 20, 6.78%, see rank | 14.79% | 10.60% |
| Median Rooms | 6.00, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| | 51448 Zip Code | Iowa | U.S. |
| Total Housing Units | 305, 100% | 1,337,410 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.85% | 2.36% |
| 3 Rooms | 10, 3.28%, see rank | 6.96% | 8.97% |
| 4 Rooms | 54, 17.70%, see rank | 14.80% | 16.57% |
| 5 Rooms | 77, 25.25%, see rank | 18.53% | 20.41% |
| 6 Rooms | 64, 20.98%, see rank | 17.38% | 18.25% |
| 7 Rooms | 33, 10.82%, see rank | 13.77% | 12.38% |
| 8 Rooms | 40, 13.11%, see rank | 11.08% | 8.59% |
| 9 Rooms or More | 27, 8.85%, see rank | 14.48% | 10.52% |
| Median Rooms | 5.70, see rank | 5.90 | 5.50 |
US Census 2000 data
| | 51448 Zip Code | Iowa | U.S. |
| Total Housing Units | 309, 100% | 1,232,511 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 0.94% | 2.20% |
| 2 Rooms | 0, 0.00%, see rank | 2.91% | 4.81% |
| 3 Rooms | 6, 1.94%, see rank | 7.16% | 9.84% |
| 4 Rooms | 19, 6.15%, see rank | 15.35% | 15.97% |
| 5 Rooms | 42, 13.59%, see rank | 20.53% | 20.89% |
| 6 Rooms | 44, 14.24%, see rank | 18.30% | 18.45% |
| 7 Rooms | 74, 23.95%, see rank | 13.96% | 12.06% |
| 8 Rooms | 61, 19.74%, see rank | 10.55% | 8.06% |
| 9 Rooms or More | 63, 20.39%, see rank | 10.31% | 7.70% |
| Median Rooms | 7.10, 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.
