46235 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46235 Zip Code | Indiana | U.S. |
Total Housing Units | 13,667, 100% | 2,811,617 | 132,741,033 |
1 Room | 189, 1.38%, see rank | 1.26% | 1.95% |
2 Rooms | 103, 0.75%, see rank | 1.46% | 2.48% |
3 Rooms | 1,045, 7.65%, see rank | 6.64% | 9.13% |
4 Rooms | 2,271, 16.62%, see rank | 14.31% | 16.60% |
5 Rooms | 3,574, 26.15%, see rank | 21.67% | 20.41% |
6 Rooms | 2,834, 20.74%, see rank | 20.12% | 18.06% |
7 Rooms | 2,273, 16.63%, see rank | 13.67% | 12.27% |
8 Rooms | 824, 6.03%, see rank | 9.17% | 8.48% |
9 Rooms or More | 554, 4.05%, see rank | 11.69% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46235 Zip Code | Indiana | U.S. |
Total Housing Units | 13,392, 100% | 2,797,237 | 131,642,457 |
1 Room | 80, 0.60%, see rank | 1.17% | 1.95% |
2 Rooms | 171, 1.28%, see rank | 1.41% | 2.36% |
3 Rooms | 1,102, 8.23%, see rank | 6.49% | 8.97% |
4 Rooms | 2,014, 15.04%, see rank | 14.30% | 16.57% |
5 Rooms | 3,627, 27.08%, see rank | 21.97% | 20.41% |
6 Rooms | 3,164, 23.63%, see rank | 20.24% | 18.25% |
7 Rooms | 1,919, 14.33%, see rank | 13.58% | 12.38% |
8 Rooms | 714, 5.33%, see rank | 9.28% | 8.59% |
9 Rooms or More | 601, 4.49%, see rank | 11.56% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46235 Zip Code | Indiana | U.S. |
Total Housing Units | 10,558, 100% | 2,532,319 | 115,904,641 |
1 Room | 190, 1.80%, see rank | 0.89% | 2.20% |
2 Rooms | 761, 7.21%, see rank | 2.60% | 4.81% |
3 Rooms | 1,377, 13.04%, see rank | 7.08% | 9.84% |
4 Rooms | 2,418, 22.90%, see rank | 15.42% | 15.97% |
5 Rooms | 2,352, 22.28%, see rank | 23.26% | 20.89% |
6 Rooms | 1,842, 17.45%, see rank | 20.49% | 18.45% |
7 Rooms | 887, 8.40%, see rank | 13.30% | 12.06% |
8 Rooms | 512, 4.85%, see rank | 8.66% | 8.06% |
9 Rooms or More | 219, 2.07%, see rank | 8.31% | 7.70% |
Median Rooms | 4.70, 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.