46113 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46113 Zip Code | Indiana | U.S. |
Total Housing Units | 5,583, 100% | 2,811,617 | 132,741,033 |
1 Room | 147, 2.63%, see rank | 1.26% | 1.95% |
2 Rooms | 84, 1.50%, see rank | 1.46% | 2.48% |
3 Rooms | 258, 4.62%, see rank | 6.64% | 9.13% |
4 Rooms | 237, 4.25%, see rank | 14.31% | 16.60% |
5 Rooms | 1,126, 20.17%, see rank | 21.67% | 20.41% |
6 Rooms | 1,305, 23.37%, see rank | 20.12% | 18.06% |
7 Rooms | 1,138, 20.38%, see rank | 13.67% | 12.27% |
8 Rooms | 692, 12.39%, see rank | 9.17% | 8.48% |
9 Rooms or More | 596, 10.68%, see rank | 11.69% | 10.60% |
Median Rooms | 6.20, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46113 Zip Code | Indiana | U.S. |
Total Housing Units | 5,411, 100% | 2,797,237 | 131,642,457 |
1 Room | 34, 0.63%, see rank | 1.17% | 1.95% |
2 Rooms | 77, 1.42%, see rank | 1.41% | 2.36% |
3 Rooms | 235, 4.34%, see rank | 6.49% | 8.97% |
4 Rooms | 304, 5.62%, see rank | 14.30% | 16.57% |
5 Rooms | 1,110, 20.51%, see rank | 21.97% | 20.41% |
6 Rooms | 1,268, 23.43%, see rank | 20.24% | 18.25% |
7 Rooms | 853, 15.76%, see rank | 13.58% | 12.38% |
8 Rooms | 828, 15.30%, see rank | 9.28% | 8.59% |
9 Rooms or More | 702, 12.97%, see rank | 11.56% | 10.52% |
Median Rooms | 6.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46113 Zip Code | Indiana | U.S. |
Total Housing Units | 2,387, 100% | 2,532,319 | 115,904,641 |
1 Room | 26, 1.09%, see rank | 0.89% | 2.20% |
2 Rooms | 6, 0.25%, see rank | 2.60% | 4.81% |
3 Rooms | 49, 2.05%, see rank | 7.08% | 9.84% |
4 Rooms | 216, 9.05%, see rank | 15.42% | 15.97% |
5 Rooms | 702, 29.41%, see rank | 23.26% | 20.89% |
6 Rooms | 695, 29.12%, see rank | 20.49% | 18.45% |
7 Rooms | 397, 16.63%, see rank | 13.30% | 12.06% |
8 Rooms | 152, 6.37%, see rank | 8.66% | 8.06% |
9 Rooms or More | 144, 6.03%, 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.