50263 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 50263 Zip Code | Iowa | U.S. |
Total Housing Units | 7,067, 100% | 1,348,151 | 132,741,033 |
1 Room | 13, 0.18%, see rank | 1.15% | 1.95% |
2 Rooms | 101, 1.43%, see rank | 2.07% | 2.48% |
3 Rooms | 704, 9.96%, see rank | 7.28% | 9.13% |
4 Rooms | 827, 11.70%, see rank | 14.50% | 16.60% |
5 Rooms | 1,028, 14.55%, see rank | 18.57% | 20.41% |
6 Rooms | 1,645, 23.28%, see rank | 17.20% | 18.06% |
7 Rooms | 861, 12.18%, see rank | 13.83% | 12.27% |
8 Rooms | 618, 8.74%, see rank | 10.61% | 8.48% |
9 Rooms or More | 1,270, 17.97%, see rank | 14.79% | 10.60% |
Median Rooms | 6.00, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| 50263 Zip Code | Iowa | U.S. |
Total Housing Units | 6,403, 100% | 1,337,410 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 239, 3.73%, see rank | 1.85% | 2.36% |
3 Rooms | 566, 8.84%, see rank | 6.96% | 8.97% |
4 Rooms | 564, 8.81%, see rank | 14.80% | 16.57% |
5 Rooms | 1,164, 18.18%, see rank | 18.53% | 20.41% |
6 Rooms | 1,274, 19.90%, see rank | 17.38% | 18.25% |
7 Rooms | 878, 13.71%, see rank | 13.77% | 12.38% |
8 Rooms | 539, 8.42%, see rank | 11.08% | 8.59% |
9 Rooms or More | 1,179, 18.41%, see rank | 14.48% | 10.52% |
Median Rooms | 6.00, see rank | 5.90 | 5.50 |
US Census 2000 data
| 50263 Zip Code | Iowa | U.S. |
Total Housing Units | 2,548, 100% | 1,232,511 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.94% | 2.20% |
2 Rooms | 47, 1.84%, see rank | 2.91% | 4.81% |
3 Rooms | 86, 3.38%, see rank | 7.16% | 9.84% |
4 Rooms | 308, 12.09%, see rank | 15.35% | 15.97% |
5 Rooms | 472, 18.52%, see rank | 20.53% | 20.89% |
6 Rooms | 422, 16.56%, see rank | 18.30% | 18.45% |
7 Rooms | 448, 17.58%, see rank | 13.96% | 12.06% |
8 Rooms | 322, 12.64%, see rank | 10.55% | 8.06% |
9 Rooms or More | 443, 17.39%, see rank | 10.31% | 7.70% |
Median Rooms | 6.40, 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.