46802 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46802 Zip Code | Indiana | U.S. |
Total Housing Units | 5,685, 100% | 2,811,617 | 132,741,033 |
1 Room | 475, 8.36%, see rank | 1.26% | 1.95% |
2 Rooms | 567, 9.97%, see rank | 1.46% | 2.48% |
3 Rooms | 911, 16.02%, see rank | 6.64% | 9.13% |
4 Rooms | 972, 17.10%, see rank | 14.31% | 16.60% |
5 Rooms | 811, 14.27%, see rank | 21.67% | 20.41% |
6 Rooms | 708, 12.45%, see rank | 20.12% | 18.06% |
7 Rooms | 524, 9.22%, see rank | 13.67% | 12.27% |
8 Rooms | 320, 5.63%, see rank | 9.17% | 8.48% |
9 Rooms or More | 397, 6.98%, see rank | 11.69% | 10.60% |
Median Rooms | 4.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46802 Zip Code | Indiana | U.S. |
Total Housing Units | 5,800, 100% | 2,797,237 | 131,642,457 |
1 Room | 286, 4.93%, see rank | 1.17% | 1.95% |
2 Rooms | 408, 7.03%, see rank | 1.41% | 2.36% |
3 Rooms | 1,212, 20.90%, see rank | 6.49% | 8.97% |
4 Rooms | 1,075, 18.53%, see rank | 14.30% | 16.57% |
5 Rooms | 819, 14.12%, see rank | 21.97% | 20.41% |
6 Rooms | 752, 12.97%, see rank | 20.24% | 18.25% |
7 Rooms | 615, 10.60%, see rank | 13.58% | 12.38% |
8 Rooms | 325, 5.60%, see rank | 9.28% | 8.59% |
9 Rooms or More | 308, 5.31%, see rank | 11.56% | 10.52% |
Median Rooms | 4.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46802 Zip Code | Indiana | U.S. |
Total Housing Units | 5,910, 100% | 2,532,319 | 115,904,641 |
1 Room | 277, 4.69%, see rank | 0.89% | 2.20% |
2 Rooms | 630, 10.66%, see rank | 2.60% | 4.81% |
3 Rooms | 1,215, 20.56%, see rank | 7.08% | 9.84% |
4 Rooms | 924, 15.63%, see rank | 15.42% | 15.97% |
5 Rooms | 971, 16.43%, see rank | 23.26% | 20.89% |
6 Rooms | 848, 14.35%, see rank | 20.49% | 18.45% |
7 Rooms | 425, 7.19%, see rank | 13.30% | 12.06% |
8 Rooms | 281, 4.75%, see rank | 8.66% | 8.06% |
9 Rooms or More | 339, 5.74%, see rank | 8.31% | 7.70% |
Median Rooms | 4.40, 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.