46107 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46107 Zip Code | Indiana | U.S. |
Total Housing Units | 5,370, 100% | 2,811,617 | 132,741,033 |
1 Room | 30, 0.56%, see rank | 1.26% | 1.95% |
2 Rooms | 46, 0.86%, see rank | 1.46% | 2.48% |
3 Rooms | 364, 6.78%, see rank | 6.64% | 9.13% |
4 Rooms | 1,025, 19.09%, see rank | 14.31% | 16.60% |
5 Rooms | 1,600, 29.80%, see rank | 21.67% | 20.41% |
6 Rooms | 1,120, 20.86%, see rank | 20.12% | 18.06% |
7 Rooms | 672, 12.51%, see rank | 13.67% | 12.27% |
8 Rooms | 236, 4.39%, see rank | 9.17% | 8.48% |
9 Rooms or More | 277, 5.16%, see rank | 11.69% | 10.60% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46107 Zip Code | Indiana | U.S. |
Total Housing Units | 5,642, 100% | 2,797,237 | 131,642,457 |
1 Room | 74, 1.31%, see rank | 1.17% | 1.95% |
2 Rooms | 28, 0.50%, see rank | 1.41% | 2.36% |
3 Rooms | 431, 7.64%, see rank | 6.49% | 8.97% |
4 Rooms | 1,099, 19.48%, see rank | 14.30% | 16.57% |
5 Rooms | 1,443, 25.58%, see rank | 21.97% | 20.41% |
6 Rooms | 1,158, 20.52%, see rank | 20.24% | 18.25% |
7 Rooms | 752, 13.33%, see rank | 13.58% | 12.38% |
8 Rooms | 254, 4.50%, see rank | 9.28% | 8.59% |
9 Rooms or More | 403, 7.14%, see rank | 11.56% | 10.52% |
Median Rooms | 5.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46107 Zip Code | Indiana | U.S. |
Total Housing Units | 5,056, 100% | 2,532,319 | 115,904,641 |
1 Room | 30, 0.59%, see rank | 0.89% | 2.20% |
2 Rooms | 180, 3.56%, see rank | 2.60% | 4.81% |
3 Rooms | 513, 10.15%, see rank | 7.08% | 9.84% |
4 Rooms | 795, 15.72%, see rank | 15.42% | 15.97% |
5 Rooms | 1,247, 24.66%, see rank | 23.26% | 20.89% |
6 Rooms | 1,079, 21.34%, see rank | 20.49% | 18.45% |
7 Rooms | 622, 12.30%, see rank | 13.30% | 12.06% |
8 Rooms | 337, 6.67%, see rank | 8.66% | 8.06% |
9 Rooms or More | 253, 5.00%, see rank | 8.31% | 7.70% |
Median Rooms | 5.30, 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.