46807 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46807 Zip Code | Indiana | U.S. |
Total Housing Units | 6,744, 100% | 2,811,617 | 132,741,033 |
1 Room | 64, 0.95%, see rank | 1.26% | 1.95% |
2 Rooms | 52, 0.77%, see rank | 1.46% | 2.48% |
3 Rooms | 359, 5.32%, see rank | 6.64% | 9.13% |
4 Rooms | 684, 10.14%, see rank | 14.31% | 16.60% |
5 Rooms | 911, 13.51%, see rank | 21.67% | 20.41% |
6 Rooms | 2,022, 29.98%, see rank | 20.12% | 18.06% |
7 Rooms | 1,360, 20.17%, see rank | 13.67% | 12.27% |
8 Rooms | 626, 9.28%, see rank | 9.17% | 8.48% |
9 Rooms or More | 666, 9.88%, see rank | 11.69% | 10.60% |
Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46807 Zip Code | Indiana | U.S. |
Total Housing Units | 7,143, 100% | 2,797,237 | 131,642,457 |
1 Room | 71, 0.99%, see rank | 1.17% | 1.95% |
2 Rooms | 42, 0.59%, see rank | 1.41% | 2.36% |
3 Rooms | 489, 6.85%, see rank | 6.49% | 8.97% |
4 Rooms | 958, 13.41%, see rank | 14.30% | 16.57% |
5 Rooms | 1,096, 15.34%, see rank | 21.97% | 20.41% |
6 Rooms | 1,979, 27.71%, see rank | 20.24% | 18.25% |
7 Rooms | 1,292, 18.09%, see rank | 13.58% | 12.38% |
8 Rooms | 740, 10.36%, see rank | 9.28% | 8.59% |
9 Rooms or More | 476, 6.66%, see rank | 11.56% | 10.52% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46807 Zip Code | Indiana | U.S. |
Total Housing Units | 7,290, 100% | 2,532,319 | 115,904,641 |
1 Room | 78, 1.07%, see rank | 0.89% | 2.20% |
2 Rooms | 101, 1.39%, see rank | 2.60% | 4.81% |
3 Rooms | 483, 6.63%, see rank | 7.08% | 9.84% |
4 Rooms | 901, 12.36%, see rank | 15.42% | 15.97% |
5 Rooms | 1,180, 16.19%, see rank | 23.26% | 20.89% |
6 Rooms | 1,896, 26.01%, see rank | 20.49% | 18.45% |
7 Rooms | 1,179, 16.17%, see rank | 13.30% | 12.06% |
8 Rooms | 762, 10.45%, see rank | 8.66% | 8.06% |
9 Rooms or More | 710, 9.74%, see rank | 8.31% | 7.70% |
Median Rooms | 6.00, 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.