46582 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46582 Zip Code | Indiana | U.S. |
Total Housing Units | 5,524, 100% | 2,811,617 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.26% | 1.95% |
2 Rooms | 67, 1.21%, see rank | 1.46% | 2.48% |
3 Rooms | 345, 6.25%, see rank | 6.64% | 9.13% |
4 Rooms | 940, 17.02%, see rank | 14.31% | 16.60% |
5 Rooms | 1,147, 20.76%, see rank | 21.67% | 20.41% |
6 Rooms | 947, 17.14%, see rank | 20.12% | 18.06% |
7 Rooms | 816, 14.77%, see rank | 13.67% | 12.27% |
8 Rooms | 351, 6.35%, see rank | 9.17% | 8.48% |
9 Rooms or More | 911, 16.49%, see rank | 11.69% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46582 Zip Code | Indiana | U.S. |
Total Housing Units | 5,707, 100% | 2,797,237 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.17% | 1.95% |
2 Rooms | 109, 1.91%, see rank | 1.41% | 2.36% |
3 Rooms | 174, 3.05%, see rank | 6.49% | 8.97% |
4 Rooms | 1,155, 20.24%, see rank | 14.30% | 16.57% |
5 Rooms | 1,264, 22.15%, see rank | 21.97% | 20.41% |
6 Rooms | 1,048, 18.36%, see rank | 20.24% | 18.25% |
7 Rooms | 666, 11.67%, see rank | 13.58% | 12.38% |
8 Rooms | 473, 8.29%, see rank | 9.28% | 8.59% |
9 Rooms or More | 818, 14.33%, see rank | 11.56% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46582 Zip Code | Indiana | U.S. |
Total Housing Units | 4,683, 100% | 2,532,319 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
2 Rooms | 156, 3.33%, see rank | 2.60% | 4.81% |
3 Rooms | 293, 6.26%, see rank | 7.08% | 9.84% |
4 Rooms | 922, 19.69%, see rank | 15.42% | 15.97% |
5 Rooms | 939, 20.05%, see rank | 23.26% | 20.89% |
6 Rooms | 870, 18.58%, see rank | 20.49% | 18.45% |
7 Rooms | 712, 15.20%, see rank | 13.30% | 12.06% |
8 Rooms | 412, 8.80%, see rank | 8.66% | 8.06% |
9 Rooms or More | 379, 8.09%, see rank | 8.31% | 7.70% |
Median Rooms | 5.50, 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.