47460 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47460 Zip Code | Indiana | U.S. |
Total Housing Units | 5,040, 100% | 2,811,617 | 132,741,033 |
1 Room | 83, 1.65%, see rank | 1.26% | 1.95% |
2 Rooms | 75, 1.49%, see rank | 1.46% | 2.48% |
3 Rooms | 192, 3.81%, see rank | 6.64% | 9.13% |
4 Rooms | 1,087, 21.57%, see rank | 14.31% | 16.60% |
5 Rooms | 1,247, 24.74%, see rank | 21.67% | 20.41% |
6 Rooms | 913, 18.12%, see rank | 20.12% | 18.06% |
7 Rooms | 618, 12.26%, see rank | 13.67% | 12.27% |
8 Rooms | 445, 8.83%, see rank | 9.17% | 8.48% |
9 Rooms or More | 380, 7.54%, see rank | 11.69% | 10.60% |
Median Rooms | 5.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47460 Zip Code | Indiana | U.S. |
Total Housing Units | 5,266, 100% | 2,797,237 | 131,642,457 |
1 Room | 69, 1.31%, see rank | 1.17% | 1.95% |
2 Rooms | 58, 1.10%, see rank | 1.41% | 2.36% |
3 Rooms | 305, 5.79%, see rank | 6.49% | 8.97% |
4 Rooms | 1,142, 21.69%, see rank | 14.30% | 16.57% |
5 Rooms | 1,453, 27.59%, see rank | 21.97% | 20.41% |
6 Rooms | 999, 18.97%, see rank | 20.24% | 18.25% |
7 Rooms | 546, 10.37%, see rank | 13.58% | 12.38% |
8 Rooms | 375, 7.12%, see rank | 9.28% | 8.59% |
9 Rooms or More | 319, 6.06%, see rank | 11.56% | 10.52% |
Median Rooms | 5.20, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47460 Zip Code | Indiana | U.S. |
Total Housing Units | 4,929, 100% | 2,532,319 | 115,904,641 |
1 Room | 48, 0.97%, see rank | 0.89% | 2.20% |
2 Rooms | 109, 2.21%, see rank | 2.60% | 4.81% |
3 Rooms | 183, 3.71%, see rank | 7.08% | 9.84% |
4 Rooms | 1,168, 23.70%, see rank | 15.42% | 15.97% |
5 Rooms | 1,235, 25.06%, see rank | 23.26% | 20.89% |
6 Rooms | 937, 19.01%, see rank | 20.49% | 18.45% |
7 Rooms | 665, 13.49%, see rank | 13.30% | 12.06% |
8 Rooms | 313, 6.35%, see rank | 8.66% | 8.06% |
9 Rooms or More | 271, 5.50%, 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.