51104 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 51104 Zip Code | Iowa | U.S. |
Total Housing Units | 9,017, 100% | 1,348,151 | 132,741,033 |
1 Room | 56, 0.62%, see rank | 1.15% | 1.95% |
2 Rooms | 394, 4.37%, see rank | 2.07% | 2.48% |
3 Rooms | 748, 8.30%, see rank | 7.28% | 9.13% |
4 Rooms | 1,361, 15.09%, see rank | 14.50% | 16.60% |
5 Rooms | 1,370, 15.19%, see rank | 18.57% | 20.41% |
6 Rooms | 1,194, 13.24%, see rank | 17.20% | 18.06% |
7 Rooms | 1,417, 15.71%, see rank | 13.83% | 12.27% |
8 Rooms | 895, 9.93%, see rank | 10.61% | 8.48% |
9 Rooms or More | 1,582, 17.54%, see rank | 14.79% | 10.60% |
Median Rooms | 6.00, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| 51104 Zip Code | Iowa | U.S. |
Total Housing Units | 8,959, 100% | 1,337,410 | 131,642,457 |
1 Room | 169, 1.89%, see rank | 1.15% | 1.95% |
2 Rooms | 184, 2.05%, see rank | 1.85% | 2.36% |
3 Rooms | 801, 8.94%, see rank | 6.96% | 8.97% |
4 Rooms | 1,400, 15.63%, see rank | 14.80% | 16.57% |
5 Rooms | 1,217, 13.58%, see rank | 18.53% | 20.41% |
6 Rooms | 1,460, 16.30%, see rank | 17.38% | 18.25% |
7 Rooms | 1,306, 14.58%, see rank | 13.77% | 12.38% |
8 Rooms | 1,063, 11.87%, see rank | 11.08% | 8.59% |
9 Rooms or More | 1,359, 15.17%, see rank | 14.48% | 10.52% |
Median Rooms | 6.00, see rank | 5.90 | 5.50 |
US Census 2000 data
| 51104 Zip Code | Iowa | U.S. |
Total Housing Units | 9,051, 100% | 1,232,511 | 115,904,641 |
1 Room | 103, 1.14%, see rank | 0.94% | 2.20% |
2 Rooms | 339, 3.75%, see rank | 2.91% | 4.81% |
3 Rooms | 919, 10.15%, see rank | 7.16% | 9.84% |
4 Rooms | 1,347, 14.88%, see rank | 15.35% | 15.97% |
5 Rooms | 1,342, 14.83%, see rank | 20.53% | 20.89% |
6 Rooms | 1,252, 13.83%, see rank | 18.30% | 18.45% |
7 Rooms | 1,287, 14.22%, see rank | 13.96% | 12.06% |
8 Rooms | 1,120, 12.37%, see rank | 10.55% | 8.06% |
9 Rooms or More | 1,342, 14.83%, see rank | 10.31% | 7.70% |
Median Rooms | 5.90, 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.