50009 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 50009 Zip Code | Iowa | U.S. |
Total Housing Units | 6,800, 100% | 1,348,151 | 132,741,033 |
1 Room | 57, 0.84%, see rank | 1.15% | 1.95% |
2 Rooms | 133, 1.96%, see rank | 2.07% | 2.48% |
3 Rooms | 485, 7.13%, see rank | 7.28% | 9.13% |
4 Rooms | 1,098, 16.15%, see rank | 14.50% | 16.60% |
5 Rooms | 1,532, 22.53%, see rank | 18.57% | 20.41% |
6 Rooms | 1,155, 16.99%, see rank | 17.20% | 18.06% |
7 Rooms | 851, 12.51%, see rank | 13.83% | 12.27% |
8 Rooms | 690, 10.15%, see rank | 10.61% | 8.48% |
9 Rooms or More | 799, 11.75%, see rank | 14.79% | 10.60% |
Median Rooms | 5.60, see rank | 5.90 | 5.50 |
ACS 2008-2012 data
| 50009 Zip Code | Iowa | U.S. |
Total Housing Units | 6,543, 100% | 1,337,410 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.15% | 1.95% |
2 Rooms | 116, 1.77%, see rank | 1.85% | 2.36% |
3 Rooms | 439, 6.71%, see rank | 6.96% | 8.97% |
4 Rooms | 971, 14.84%, see rank | 14.80% | 16.57% |
5 Rooms | 1,264, 19.32%, see rank | 18.53% | 20.41% |
6 Rooms | 1,243, 19.00%, see rank | 17.38% | 18.25% |
7 Rooms | 1,005, 15.36%, see rank | 13.77% | 12.38% |
8 Rooms | 694, 10.61%, see rank | 11.08% | 8.59% |
9 Rooms or More | 811, 12.39%, see rank | 14.48% | 10.52% |
Median Rooms | 5.90, see rank | 5.90 | 5.50 |
US Census 2000 data
| 50009 Zip Code | Iowa | U.S. |
Total Housing Units | 4,586, 100% | 1,232,511 | 115,904,641 |
1 Room | 49, 1.07%, see rank | 0.94% | 2.20% |
2 Rooms | 91, 1.98%, see rank | 2.91% | 4.81% |
3 Rooms | 305, 6.65%, see rank | 7.16% | 9.84% |
4 Rooms | 660, 14.39%, see rank | 15.35% | 15.97% |
5 Rooms | 1,031, 22.48%, see rank | 20.53% | 20.89% |
6 Rooms | 877, 19.12%, see rank | 18.30% | 18.45% |
7 Rooms | 752, 16.40%, see rank | 13.96% | 12.06% |
8 Rooms | 483, 10.53%, see rank | 10.55% | 8.06% |
9 Rooms or More | 338, 7.37%, see rank | 10.31% | 7.70% |
Median Rooms | 5.70, 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.