46368 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46368 Zip Code | Indiana | U.S. |
Total Housing Units | 16,343, 100% | 2,811,617 | 132,741,033 |
1 Room | 44, 0.27%, see rank | 1.26% | 1.95% |
2 Rooms | 50, 0.31%, see rank | 1.46% | 2.48% |
3 Rooms | 922, 5.64%, see rank | 6.64% | 9.13% |
4 Rooms | 2,836, 17.35%, see rank | 14.31% | 16.60% |
5 Rooms | 4,680, 28.64%, see rank | 21.67% | 20.41% |
6 Rooms | 3,244, 19.85%, see rank | 20.12% | 18.06% |
7 Rooms | 2,270, 13.89%, see rank | 13.67% | 12.27% |
8 Rooms | 1,021, 6.25%, see rank | 9.17% | 8.48% |
9 Rooms or More | 1,276, 7.81%, see rank | 11.69% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46368 Zip Code | Indiana | U.S. |
Total Housing Units | 16,302, 100% | 2,797,237 | 131,642,457 |
1 Room | 50, 0.31%, see rank | 1.17% | 1.95% |
2 Rooms | 54, 0.33%, see rank | 1.41% | 2.36% |
3 Rooms | 907, 5.56%, see rank | 6.49% | 8.97% |
4 Rooms | 2,964, 18.18%, see rank | 14.30% | 16.57% |
5 Rooms | 4,740, 29.08%, see rank | 21.97% | 20.41% |
6 Rooms | 3,248, 19.92%, see rank | 20.24% | 18.25% |
7 Rooms | 2,195, 13.46%, see rank | 13.58% | 12.38% |
8 Rooms | 1,080, 6.62%, see rank | 9.28% | 8.59% |
9 Rooms or More | 1,064, 6.53%, see rank | 11.56% | 10.52% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46368 Zip Code | Indiana | U.S. |
Total Housing Units | 14,331, 100% | 2,532,319 | 115,904,641 |
1 Room | 85, 0.59%, see rank | 0.89% | 2.20% |
2 Rooms | 189, 1.32%, see rank | 2.60% | 4.81% |
3 Rooms | 736, 5.14%, see rank | 7.08% | 9.84% |
4 Rooms | 3,202, 22.34%, see rank | 15.42% | 15.97% |
5 Rooms | 3,592, 25.06%, see rank | 23.26% | 20.89% |
6 Rooms | 2,994, 20.89%, see rank | 20.49% | 18.45% |
7 Rooms | 1,765, 12.32%, see rank | 13.30% | 12.06% |
8 Rooms | 969, 6.76%, see rank | 8.66% | 8.06% |
9 Rooms or More | 799, 5.58%, see rank | 8.31% | 7.70% |
Median Rooms | 5.30, 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.