46122 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46122 Zip Code | Indiana | U.S. |
Total Housing Units | 5,613, 100% | 2,811,617 | 132,741,033 |
1 Room | 31, 0.55%, see rank | 1.26% | 1.95% |
2 Rooms | 70, 1.25%, see rank | 1.46% | 2.48% |
3 Rooms | 151, 2.69%, see rank | 6.64% | 9.13% |
4 Rooms | 350, 6.24%, see rank | 14.31% | 16.60% |
5 Rooms | 1,150, 20.49%, see rank | 21.67% | 20.41% |
6 Rooms | 1,387, 24.71%, see rank | 20.12% | 18.06% |
7 Rooms | 1,044, 18.60%, see rank | 13.67% | 12.27% |
8 Rooms | 636, 11.33%, see rank | 9.17% | 8.48% |
9 Rooms or More | 794, 14.15%, see rank | 11.69% | 10.60% |
Median Rooms | 6.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46122 Zip Code | Indiana | U.S. |
Total Housing Units | 5,670, 100% | 2,797,237 | 131,642,457 |
1 Room | 26, 0.46%, see rank | 1.17% | 1.95% |
2 Rooms | 21, 0.37%, see rank | 1.41% | 2.36% |
3 Rooms | 149, 2.63%, see rank | 6.49% | 8.97% |
4 Rooms | 376, 6.63%, see rank | 14.30% | 16.57% |
5 Rooms | 1,086, 19.15%, see rank | 21.97% | 20.41% |
6 Rooms | 1,560, 27.51%, see rank | 20.24% | 18.25% |
7 Rooms | 1,010, 17.81%, see rank | 13.58% | 12.38% |
8 Rooms | 567, 10.00%, see rank | 9.28% | 8.59% |
9 Rooms or More | 875, 15.43%, see rank | 11.56% | 10.52% |
Median Rooms | 6.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46122 Zip Code | Indiana | U.S. |
Total Housing Units | 4,723, 100% | 2,532,319 | 115,904,641 |
1 Room | 14, 0.30%, see rank | 0.89% | 2.20% |
2 Rooms | 69, 1.46%, see rank | 2.60% | 4.81% |
3 Rooms | 163, 3.45%, see rank | 7.08% | 9.84% |
4 Rooms | 430, 9.10%, see rank | 15.42% | 15.97% |
5 Rooms | 888, 18.80%, see rank | 23.26% | 20.89% |
6 Rooms | 1,395, 29.54%, see rank | 20.49% | 18.45% |
7 Rooms | 893, 18.91%, see rank | 13.30% | 12.06% |
8 Rooms | 444, 9.40%, see rank | 8.66% | 8.06% |
9 Rooms or More | 427, 9.04%, 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.