46405 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46405 Zip Code | Indiana | U.S. |
Total Housing Units | 4,437, 100% | 2,811,617 | 132,741,033 |
1 Room | 82, 1.85%, see rank | 1.26% | 1.95% |
2 Rooms | 44, 0.99%, see rank | 1.46% | 2.48% |
3 Rooms | 151, 3.40%, see rank | 6.64% | 9.13% |
4 Rooms | 733, 16.52%, see rank | 14.31% | 16.60% |
5 Rooms | 1,511, 34.05%, see rank | 21.67% | 20.41% |
6 Rooms | 994, 22.40%, see rank | 20.12% | 18.06% |
7 Rooms | 553, 12.46%, see rank | 13.67% | 12.27% |
8 Rooms | 159, 3.58%, see rank | 9.17% | 8.48% |
9 Rooms or More | 210, 4.73%, see rank | 11.69% | 10.60% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46405 Zip Code | Indiana | U.S. |
Total Housing Units | 4,612, 100% | 2,797,237 | 131,642,457 |
1 Room | 50, 1.08%, see rank | 1.17% | 1.95% |
2 Rooms | 41, 0.89%, see rank | 1.41% | 2.36% |
3 Rooms | 135, 2.93%, see rank | 6.49% | 8.97% |
4 Rooms | 782, 16.96%, see rank | 14.30% | 16.57% |
5 Rooms | 1,642, 35.60%, see rank | 21.97% | 20.41% |
6 Rooms | 1,104, 23.94%, see rank | 20.24% | 18.25% |
7 Rooms | 544, 11.80%, see rank | 13.58% | 12.38% |
8 Rooms | 149, 3.23%, see rank | 9.28% | 8.59% |
9 Rooms or More | 165, 3.58%, see rank | 11.56% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46405 Zip Code | Indiana | U.S. |
Total Housing Units | 4,884, 100% | 2,532,319 | 115,904,641 |
1 Room | 11, 0.23%, see rank | 0.89% | 2.20% |
2 Rooms | 75, 1.54%, see rank | 2.60% | 4.81% |
3 Rooms | 210, 4.30%, see rank | 7.08% | 9.84% |
4 Rooms | 1,060, 21.70%, see rank | 15.42% | 15.97% |
5 Rooms | 1,624, 33.25%, see rank | 23.26% | 20.89% |
6 Rooms | 927, 18.98%, see rank | 20.49% | 18.45% |
7 Rooms | 409, 8.37%, see rank | 13.30% | 12.06% |
8 Rooms | 355, 7.27%, see rank | 8.66% | 8.06% |
9 Rooms or More | 213, 4.36%, see rank | 8.31% | 7.70% |
Median Rooms | 5.20, 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.