46234 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46234 Zip Code | Indiana | U.S. |
Total Housing Units | 10,580, 100% | 2,811,617 | 132,741,033 |
1 Room | 207, 1.96%, see rank | 1.26% | 1.95% |
2 Rooms | 67, 0.63%, see rank | 1.46% | 2.48% |
3 Rooms | 527, 4.98%, see rank | 6.64% | 9.13% |
4 Rooms | 1,159, 10.95%, see rank | 14.31% | 16.60% |
5 Rooms | 2,382, 22.51%, see rank | 21.67% | 20.41% |
6 Rooms | 1,789, 16.91%, see rank | 20.12% | 18.06% |
7 Rooms | 1,796, 16.98%, see rank | 13.67% | 12.27% |
8 Rooms | 1,155, 10.92%, see rank | 9.17% | 8.48% |
9 Rooms or More | 1,498, 14.16%, see rank | 11.69% | 10.60% |
Median Rooms | 6.00, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46234 Zip Code | Indiana | U.S. |
Total Housing Units | 10,136, 100% | 2,797,237 | 131,642,457 |
1 Room | 81, 0.80%, see rank | 1.17% | 1.95% |
2 Rooms | 176, 1.74%, see rank | 1.41% | 2.36% |
3 Rooms | 352, 3.47%, see rank | 6.49% | 8.97% |
4 Rooms | 1,012, 9.98%, see rank | 14.30% | 16.57% |
5 Rooms | 2,085, 20.57%, see rank | 21.97% | 20.41% |
6 Rooms | 1,936, 19.10%, see rank | 20.24% | 18.25% |
7 Rooms | 2,014, 19.87%, see rank | 13.58% | 12.38% |
8 Rooms | 1,145, 11.30%, see rank | 9.28% | 8.59% |
9 Rooms or More | 1,335, 13.17%, see rank | 11.56% | 10.52% |
Median Rooms | 6.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46234 Zip Code | Indiana | U.S. |
Total Housing Units | 7,499, 100% | 2,532,319 | 115,904,641 |
1 Room | 27, 0.36%, see rank | 0.89% | 2.20% |
2 Rooms | 140, 1.87%, see rank | 2.60% | 4.81% |
3 Rooms | 352, 4.69%, see rank | 7.08% | 9.84% |
4 Rooms | 926, 12.35%, see rank | 15.42% | 15.97% |
5 Rooms | 1,923, 25.64%, see rank | 23.26% | 20.89% |
6 Rooms | 1,683, 22.44%, see rank | 20.49% | 18.45% |
7 Rooms | 872, 11.63%, see rank | 13.30% | 12.06% |
8 Rooms | 786, 10.48%, see rank | 8.66% | 8.06% |
9 Rooms or More | 790, 10.53%, see rank | 8.31% | 7.70% |
Median Rooms | 5.70, 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.