46225 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46225 Zip Code | Indiana | U.S. |
Total Housing Units | 3,764, 100% | 2,811,617 | 132,741,033 |
1 Room | 149, 3.96%, see rank | 1.26% | 1.95% |
2 Rooms | 29, 0.77%, see rank | 1.46% | 2.48% |
3 Rooms | 474, 12.59%, see rank | 6.64% | 9.13% |
4 Rooms | 677, 17.99%, see rank | 14.31% | 16.60% |
5 Rooms | 965, 25.64%, see rank | 21.67% | 20.41% |
6 Rooms | 739, 19.63%, see rank | 20.12% | 18.06% |
7 Rooms | 382, 10.15%, see rank | 13.67% | 12.27% |
8 Rooms | 197, 5.23%, see rank | 9.17% | 8.48% |
9 Rooms or More | 152, 4.04%, see rank | 11.69% | 10.60% |
Median Rooms | 5.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46225 Zip Code | Indiana | U.S. |
Total Housing Units | 3,796, 100% | 2,797,237 | 131,642,457 |
1 Room | 139, 3.66%, see rank | 1.17% | 1.95% |
2 Rooms | 39, 1.03%, see rank | 1.41% | 2.36% |
3 Rooms | 387, 10.19%, see rank | 6.49% | 8.97% |
4 Rooms | 930, 24.50%, see rank | 14.30% | 16.57% |
5 Rooms | 1,101, 29.00%, see rank | 21.97% | 20.41% |
6 Rooms | 587, 15.46%, see rank | 20.24% | 18.25% |
7 Rooms | 334, 8.80%, see rank | 13.58% | 12.38% |
8 Rooms | 101, 2.66%, see rank | 9.28% | 8.59% |
9 Rooms or More | 178, 4.69%, see rank | 11.56% | 10.52% |
Median Rooms | 4.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46225 Zip Code | Indiana | U.S. |
Total Housing Units | 3,625, 100% | 2,532,319 | 115,904,641 |
1 Room | 58, 1.60%, see rank | 0.89% | 2.20% |
2 Rooms | 161, 4.44%, see rank | 2.60% | 4.81% |
3 Rooms | 429, 11.83%, see rank | 7.08% | 9.84% |
4 Rooms | 517, 14.26%, see rank | 15.42% | 15.97% |
5 Rooms | 945, 26.07%, see rank | 23.26% | 20.89% |
6 Rooms | 835, 23.03%, see rank | 20.49% | 18.45% |
7 Rooms | 353, 9.74%, see rank | 13.30% | 12.06% |
8 Rooms | 146, 4.03%, see rank | 8.66% | 8.06% |
9 Rooms or More | 181, 4.99%, see rank | 8.31% | 7.70% |
Median Rooms | 5.20, 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.