50588 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 50588 Zip Code | Iowa | U.S. |
Total Housing Units | 4,812, 100% | 1,348,151 | 132,741,033 |
1 Room | 43, 0.89%, see rank | 1.15% | 1.95% |
2 Rooms | 229, 4.76%, see rank | 2.07% | 2.48% |
3 Rooms | 504, 10.47%, see rank | 7.28% | 9.13% |
4 Rooms | 682, 14.17%, see rank | 14.50% | 16.60% |
5 Rooms | 862, 17.91%, see rank | 18.57% | 20.41% |
6 Rooms | 1,026, 21.32%, see rank | 17.20% | 18.06% |
7 Rooms | 496, 10.31%, see rank | 13.83% | 12.27% |
8 Rooms | 494, 10.27%, see rank | 10.61% | 8.48% |
9 Rooms or More | 476, 9.89%, see rank | 14.79% | 10.60% |
Median Rooms | 5.60, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| 50588 Zip Code | Iowa | U.S. |
Total Housing Units | 4,805, 100% | 1,337,410 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 153, 3.18%, see rank | 1.85% | 2.36% |
3 Rooms | 366, 7.62%, see rank | 6.96% | 8.97% |
4 Rooms | 892, 18.56%, see rank | 14.80% | 16.57% |
5 Rooms | 764, 15.90%, see rank | 18.53% | 20.41% |
6 Rooms | 972, 20.23%, see rank | 17.38% | 18.25% |
7 Rooms | 552, 11.49%, see rank | 13.77% | 12.38% |
8 Rooms | 487, 10.14%, see rank | 11.08% | 8.59% |
9 Rooms or More | 619, 12.88%, see rank | 14.48% | 10.52% |
Median Rooms | 5.70, see rank | 5.90 | 5.50 |
US Census 2000 data
| 50588 Zip Code | Iowa | U.S. |
Total Housing Units | 4,576, 100% | 1,232,511 | 115,904,641 |
1 Room | 62, 1.35%, see rank | 0.94% | 2.20% |
2 Rooms | 158, 3.45%, see rank | 2.91% | 4.81% |
3 Rooms | 548, 11.98%, see rank | 7.16% | 9.84% |
4 Rooms | 655, 14.31%, see rank | 15.35% | 15.97% |
5 Rooms | 795, 17.37%, see rank | 20.53% | 20.89% |
6 Rooms | 777, 16.98%, see rank | 18.30% | 18.45% |
7 Rooms | 631, 13.79%, see rank | 13.96% | 12.06% |
8 Rooms | 457, 9.99%, see rank | 10.55% | 8.06% |
9 Rooms or More | 493, 10.77%, see rank | 10.31% | 7.70% |
Median Rooms | 5.60, 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.