46356 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46356 Zip Code | Indiana | U.S. |
Total Housing Units | 6,527, 100% | 2,811,617 | 132,741,033 |
1 Room | 21, 0.32%, see rank | 1.26% | 1.95% |
2 Rooms | 34, 0.52%, see rank | 1.46% | 2.48% |
3 Rooms | 197, 3.02%, see rank | 6.64% | 9.13% |
4 Rooms | 896, 13.73%, see rank | 14.31% | 16.60% |
5 Rooms | 1,502, 23.01%, see rank | 21.67% | 20.41% |
6 Rooms | 1,549, 23.73%, see rank | 20.12% | 18.06% |
7 Rooms | 1,073, 16.44%, see rank | 13.67% | 12.27% |
8 Rooms | 549, 8.41%, see rank | 9.17% | 8.48% |
9 Rooms or More | 706, 10.82%, see rank | 11.69% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46356 Zip Code | Indiana | U.S. |
Total Housing Units | 6,505, 100% | 2,797,237 | 131,642,457 |
1 Room | 16, 0.25%, see rank | 1.17% | 1.95% |
2 Rooms | 52, 0.80%, see rank | 1.41% | 2.36% |
3 Rooms | 179, 2.75%, see rank | 6.49% | 8.97% |
4 Rooms | 780, 11.99%, see rank | 14.30% | 16.57% |
5 Rooms | 1,479, 22.74%, see rank | 21.97% | 20.41% |
6 Rooms | 1,546, 23.77%, see rank | 20.24% | 18.25% |
7 Rooms | 981, 15.08%, see rank | 13.58% | 12.38% |
8 Rooms | 732, 11.25%, see rank | 9.28% | 8.59% |
9 Rooms or More | 740, 11.38%, see rank | 11.56% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46356 Zip Code | Indiana | U.S. |
Total Housing Units | 5,544, 100% | 2,532,319 | 115,904,641 |
1 Room | 30, 0.54%, see rank | 0.89% | 2.20% |
2 Rooms | 77, 1.39%, see rank | 2.60% | 4.81% |
3 Rooms | 197, 3.55%, see rank | 7.08% | 9.84% |
4 Rooms | 655, 11.81%, see rank | 15.42% | 15.97% |
5 Rooms | 1,200, 21.65%, see rank | 23.26% | 20.89% |
6 Rooms | 1,352, 24.39%, see rank | 20.49% | 18.45% |
7 Rooms | 867, 15.64%, see rank | 13.30% | 12.06% |
8 Rooms | 747, 13.47%, see rank | 8.66% | 8.06% |
9 Rooms or More | 419, 7.56%, see rank | 8.31% | 7.70% |
Median Rooms | 6.00, see rank | 5.50 | 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.