47305 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47305 Zip Code | Indiana | U.S. |
Total Housing Units | 2,508, 100% | 2,811,617 | 132,741,033 |
1 Room | 242, 9.65%, see rank | 1.26% | 1.95% |
2 Rooms | 125, 4.98%, see rank | 1.46% | 2.48% |
3 Rooms | 446, 17.78%, see rank | 6.64% | 9.13% |
4 Rooms | 403, 16.07%, see rank | 14.31% | 16.60% |
5 Rooms | 401, 15.99%, see rank | 21.67% | 20.41% |
6 Rooms | 362, 14.43%, see rank | 20.12% | 18.06% |
7 Rooms | 120, 4.78%, see rank | 13.67% | 12.27% |
8 Rooms | 139, 5.54%, see rank | 9.17% | 8.48% |
9 Rooms or More | 270, 10.77%, see rank | 11.69% | 10.60% |
Median Rooms | 4.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47305 Zip Code | Indiana | U.S. |
Total Housing Units | 2,671, 100% | 2,797,237 | 131,642,457 |
1 Room | 222, 8.31%, see rank | 1.17% | 1.95% |
2 Rooms | 95, 3.56%, see rank | 1.41% | 2.36% |
3 Rooms | 434, 16.25%, see rank | 6.49% | 8.97% |
4 Rooms | 508, 19.02%, see rank | 14.30% | 16.57% |
5 Rooms | 543, 20.33%, see rank | 21.97% | 20.41% |
6 Rooms | 329, 12.32%, see rank | 20.24% | 18.25% |
7 Rooms | 116, 4.34%, see rank | 13.58% | 12.38% |
8 Rooms | 140, 5.24%, see rank | 9.28% | 8.59% |
9 Rooms or More | 284, 10.63%, see rank | 11.56% | 10.52% |
Median Rooms | 4.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47305 Zip Code | Indiana | U.S. |
Total Housing Units | 2,911, 100% | 2,532,319 | 115,904,641 |
1 Room | 60, 2.06%, see rank | 0.89% | 2.20% |
2 Rooms | 257, 8.83%, see rank | 2.60% | 4.81% |
3 Rooms | 834, 28.65%, see rank | 7.08% | 9.84% |
4 Rooms | 456, 15.66%, see rank | 15.42% | 15.97% |
5 Rooms | 475, 16.32%, see rank | 23.26% | 20.89% |
6 Rooms | 342, 11.75%, see rank | 20.49% | 18.45% |
7 Rooms | 187, 6.42%, see rank | 13.30% | 12.06% |
8 Rooms | 181, 6.22%, see rank | 8.66% | 8.06% |
9 Rooms or More | 119, 4.09%, see rank | 8.31% | 7.70% |
Median Rooms | 4.20, 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.