46112 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46112 Zip Code | Indiana | U.S. |
Total Housing Units | 12,879, 100% | 2,811,617 | 132,741,033 |
1 Room | 149, 1.16%, see rank | 1.26% | 1.95% |
2 Rooms | 34, 0.26%, see rank | 1.46% | 2.48% |
3 Rooms | 381, 2.96%, see rank | 6.64% | 9.13% |
4 Rooms | 1,047, 8.13%, see rank | 14.31% | 16.60% |
5 Rooms | 1,973, 15.32%, see rank | 21.67% | 20.41% |
6 Rooms | 2,974, 23.09%, see rank | 20.12% | 18.06% |
7 Rooms | 2,025, 15.72%, see rank | 13.67% | 12.27% |
8 Rooms | 1,770, 13.74%, see rank | 9.17% | 8.48% |
9 Rooms or More | 2,526, 19.61%, see rank | 11.69% | 10.60% |
Median Rooms | 6.50, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46112 Zip Code | Indiana | U.S. |
Total Housing Units | 12,370, 100% | 2,797,237 | 131,642,457 |
1 Room | 24, 0.19%, see rank | 1.17% | 1.95% |
2 Rooms | 59, 0.48%, see rank | 1.41% | 2.36% |
3 Rooms | 246, 1.99%, see rank | 6.49% | 8.97% |
4 Rooms | 923, 7.46%, see rank | 14.30% | 16.57% |
5 Rooms | 1,941, 15.69%, see rank | 21.97% | 20.41% |
6 Rooms | 3,035, 24.54%, see rank | 20.24% | 18.25% |
7 Rooms | 1,835, 14.83%, see rank | 13.58% | 12.38% |
8 Rooms | 1,750, 14.15%, see rank | 9.28% | 8.59% |
9 Rooms or More | 2,557, 20.67%, see rank | 11.56% | 10.52% |
Median Rooms | 6.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46112 Zip Code | Indiana | U.S. |
Total Housing Units | 9,292, 100% | 2,532,319 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
2 Rooms | 67, 0.72%, see rank | 2.60% | 4.81% |
3 Rooms | 247, 2.66%, see rank | 7.08% | 9.84% |
4 Rooms | 826, 8.89%, see rank | 15.42% | 15.97% |
5 Rooms | 1,932, 20.79%, see rank | 23.26% | 20.89% |
6 Rooms | 2,455, 26.42%, see rank | 20.49% | 18.45% |
7 Rooms | 1,447, 15.57%, see rank | 13.30% | 12.06% |
8 Rooms | 1,178, 12.68%, see rank | 8.66% | 8.06% |
9 Rooms or More | 1,140, 12.27%, see rank | 8.31% | 7.70% |
Median Rooms | 6.10, 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.