47805 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47805 Zip Code | Indiana | U.S. |
Total Housing Units | 5,352, 100% | 2,811,617 | 132,741,033 |
1 Room | 29, 0.54%, see rank | 1.26% | 1.95% |
2 Rooms | 125, 2.34%, see rank | 1.46% | 2.48% |
3 Rooms | 68, 1.27%, see rank | 6.64% | 9.13% |
4 Rooms | 735, 13.73%, see rank | 14.31% | 16.60% |
5 Rooms | 1,451, 27.11%, see rank | 21.67% | 20.41% |
6 Rooms | 1,267, 23.67%, see rank | 20.12% | 18.06% |
7 Rooms | 924, 17.26%, see rank | 13.67% | 12.27% |
8 Rooms | 355, 6.63%, see rank | 9.17% | 8.48% |
9 Rooms or More | 398, 7.44%, see rank | 11.69% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47805 Zip Code | Indiana | U.S. |
Total Housing Units | 5,308, 100% | 2,797,237 | 131,642,457 |
1 Room | 92, 1.73%, see rank | 1.17% | 1.95% |
2 Rooms | 136, 2.56%, see rank | 1.41% | 2.36% |
3 Rooms | 71, 1.34%, see rank | 6.49% | 8.97% |
4 Rooms | 640, 12.06%, see rank | 14.30% | 16.57% |
5 Rooms | 1,231, 23.19%, see rank | 21.97% | 20.41% |
6 Rooms | 1,329, 25.04%, see rank | 20.24% | 18.25% |
7 Rooms | 920, 17.33%, see rank | 13.58% | 12.38% |
8 Rooms | 537, 10.12%, see rank | 9.28% | 8.59% |
9 Rooms or More | 352, 6.63%, see rank | 11.56% | 10.52% |
Median Rooms | 5.90, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47805 Zip Code | Indiana | U.S. |
Total Housing Units | 5,147, 100% | 2,532,319 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
2 Rooms | 160, 3.11%, see rank | 2.60% | 4.81% |
3 Rooms | 162, 3.15%, see rank | 7.08% | 9.84% |
4 Rooms | 946, 18.38%, see rank | 15.42% | 15.97% |
5 Rooms | 1,365, 26.52%, see rank | 23.26% | 20.89% |
6 Rooms | 1,026, 19.93%, see rank | 20.49% | 18.45% |
7 Rooms | 836, 16.24%, see rank | 13.30% | 12.06% |
8 Rooms | 363, 7.05%, see rank | 8.66% | 8.06% |
9 Rooms or More | 289, 5.61%, see rank | 8.31% | 7.70% |
Median Rooms | 5.50, 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.