46545 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46545 Zip Code | Indiana | U.S. |
Total Housing Units | 12,256, 100% | 2,811,617 | 132,741,033 |
1 Room | 59, 0.48%, see rank | 1.26% | 1.95% |
2 Rooms | 244, 1.99%, see rank | 1.46% | 2.48% |
3 Rooms | 2,344, 19.13%, see rank | 6.64% | 9.13% |
4 Rooms | 2,675, 21.83%, see rank | 14.31% | 16.60% |
5 Rooms | 2,050, 16.73%, see rank | 21.67% | 20.41% |
6 Rooms | 2,127, 17.35%, see rank | 20.12% | 18.06% |
7 Rooms | 1,339, 10.93%, see rank | 13.67% | 12.27% |
8 Rooms | 714, 5.83%, see rank | 9.17% | 8.48% |
9 Rooms or More | 704, 5.74%, see rank | 11.69% | 10.60% |
Median Rooms | 4.90, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46545 Zip Code | Indiana | U.S. |
Total Housing Units | 12,381, 100% | 2,797,237 | 131,642,457 |
1 Room | 80, 0.65%, see rank | 1.17% | 1.95% |
2 Rooms | 430, 3.47%, see rank | 1.41% | 2.36% |
3 Rooms | 2,075, 16.76%, see rank | 6.49% | 8.97% |
4 Rooms | 2,810, 22.70%, see rank | 14.30% | 16.57% |
5 Rooms | 2,289, 18.49%, see rank | 21.97% | 20.41% |
6 Rooms | 2,088, 16.86%, see rank | 20.24% | 18.25% |
7 Rooms | 1,315, 10.62%, see rank | 13.58% | 12.38% |
8 Rooms | 631, 5.10%, see rank | 9.28% | 8.59% |
9 Rooms or More | 663, 5.35%, see rank | 11.56% | 10.52% |
Median Rooms | 4.80, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46545 Zip Code | Indiana | U.S. |
Total Housing Units | 12,198, 100% | 2,532,319 | 115,904,641 |
1 Room | 211, 1.73%, see rank | 0.89% | 2.20% |
2 Rooms | 674, 5.53%, see rank | 2.60% | 4.81% |
3 Rooms | 1,832, 15.02%, see rank | 7.08% | 9.84% |
4 Rooms | 3,033, 24.86%, see rank | 15.42% | 15.97% |
5 Rooms | 2,357, 19.32%, see rank | 23.26% | 20.89% |
6 Rooms | 1,773, 14.54%, see rank | 20.49% | 18.45% |
7 Rooms | 1,054, 8.64%, see rank | 13.30% | 12.06% |
8 Rooms | 625, 5.12%, see rank | 8.66% | 8.06% |
9 Rooms or More | 639, 5.24%, see rank | 8.31% | 7.70% |
Median Rooms | 4.60, 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.