46310 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46310 Zip Code | Indiana | U.S. |
Total Housing Units | 5,267, 100% | 2,811,617 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.26% | 1.95% |
2 Rooms | 22, 0.42%, see rank | 1.46% | 2.48% |
3 Rooms | 79, 1.50%, see rank | 6.64% | 9.13% |
4 Rooms | 609, 11.56%, see rank | 14.31% | 16.60% |
5 Rooms | 1,252, 23.77%, see rank | 21.67% | 20.41% |
6 Rooms | 1,552, 29.47%, see rank | 20.12% | 18.06% |
7 Rooms | 744, 14.13%, see rank | 13.67% | 12.27% |
8 Rooms | 621, 11.79%, see rank | 9.17% | 8.48% |
9 Rooms or More | 388, 7.37%, see rank | 11.69% | 10.60% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46310 Zip Code | Indiana | U.S. |
Total Housing Units | 5,155, 100% | 2,797,237 | 131,642,457 |
1 Room | 17, 0.33%, see rank | 1.17% | 1.95% |
2 Rooms | 13, 0.25%, see rank | 1.41% | 2.36% |
3 Rooms | 110, 2.13%, see rank | 6.49% | 8.97% |
4 Rooms | 658, 12.76%, see rank | 14.30% | 16.57% |
5 Rooms | 1,247, 24.19%, see rank | 21.97% | 20.41% |
6 Rooms | 1,400, 27.16%, see rank | 20.24% | 18.25% |
7 Rooms | 851, 16.51%, see rank | 13.58% | 12.38% |
8 Rooms | 416, 8.07%, see rank | 9.28% | 8.59% |
9 Rooms or More | 443, 8.59%, see rank | 11.56% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46310 Zip Code | Indiana | U.S. |
Total Housing Units | 4,435, 100% | 2,532,319 | 115,904,641 |
1 Room | 39, 0.88%, see rank | 0.89% | 2.20% |
2 Rooms | 61, 1.38%, see rank | 2.60% | 4.81% |
3 Rooms | 86, 1.94%, see rank | 7.08% | 9.84% |
4 Rooms | 544, 12.27%, see rank | 15.42% | 15.97% |
5 Rooms | 1,034, 23.31%, see rank | 23.26% | 20.89% |
6 Rooms | 1,141, 25.73%, see rank | 20.49% | 18.45% |
7 Rooms | 769, 17.34%, see rank | 13.30% | 12.06% |
8 Rooms | 388, 8.75%, see rank | 8.66% | 8.06% |
9 Rooms or More | 373, 8.41%, see rank | 8.31% | 7.70% |
Median Rooms | 5.90, 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.