46375 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46375 Zip Code | Indiana | U.S. |
Total Housing Units | 9,765, 100% | 2,811,617 | 132,741,033 |
1 Room | 9, 0.09%, see rank | 1.26% | 1.95% |
2 Rooms | 57, 0.58%, see rank | 1.46% | 2.48% |
3 Rooms | 647, 6.63%, see rank | 6.64% | 9.13% |
4 Rooms | 1,679, 17.19%, see rank | 14.31% | 16.60% |
5 Rooms | 1,993, 20.41%, see rank | 21.67% | 20.41% |
6 Rooms | 1,621, 16.60%, see rank | 20.12% | 18.06% |
7 Rooms | 1,336, 13.68%, see rank | 13.67% | 12.27% |
8 Rooms | 1,213, 12.42%, see rank | 9.17% | 8.48% |
9 Rooms or More | 1,210, 12.39%, see rank | 11.69% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46375 Zip Code | Indiana | U.S. |
Total Housing Units | 9,785, 100% | 2,797,237 | 131,642,457 |
1 Room | 13, 0.13%, see rank | 1.17% | 1.95% |
2 Rooms | 62, 0.63%, see rank | 1.41% | 2.36% |
3 Rooms | 412, 4.21%, see rank | 6.49% | 8.97% |
4 Rooms | 1,743, 17.81%, see rank | 14.30% | 16.57% |
5 Rooms | 1,999, 20.43%, see rank | 21.97% | 20.41% |
6 Rooms | 1,732, 17.70%, see rank | 20.24% | 18.25% |
7 Rooms | 1,289, 13.17%, see rank | 13.58% | 12.38% |
8 Rooms | 1,200, 12.26%, see rank | 9.28% | 8.59% |
9 Rooms or More | 1,335, 13.64%, see rank | 11.56% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46375 Zip Code | Indiana | U.S. |
Total Housing Units | 7,529, 100% | 2,532,319 | 115,904,641 |
1 Room | 62, 0.82%, see rank | 0.89% | 2.20% |
2 Rooms | 207, 2.75%, see rank | 2.60% | 4.81% |
3 Rooms | 456, 6.06%, see rank | 7.08% | 9.84% |
4 Rooms | 1,070, 14.21%, see rank | 15.42% | 15.97% |
5 Rooms | 1,468, 19.50%, see rank | 23.26% | 20.89% |
6 Rooms | 1,479, 19.64%, see rank | 20.49% | 18.45% |
7 Rooms | 1,079, 14.33%, see rank | 13.30% | 12.06% |
8 Rooms | 1,029, 13.67%, see rank | 8.66% | 8.06% |
9 Rooms or More | 679, 9.02%, see rank | 8.31% | 7.70% |
Median Rooms | 5.80, 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.