47967 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 47967 Zip Code | Indiana | U.S. |
| Total Housing Units | 341, 100% | 2,811,617 | 132,741,033 |
| 1 Room | 1, 0.29%, see rank | 1.26% | 1.95% |
| 2 Rooms | 1, 0.29%, see rank | 1.46% | 2.48% |
| 3 Rooms | 1, 0.29%, see rank | 6.64% | 9.13% |
| 4 Rooms | 55, 16.13%, see rank | 14.31% | 16.60% |
| 5 Rooms | 62, 18.18%, see rank | 21.67% | 20.41% |
| 6 Rooms | 82, 24.05%, see rank | 20.12% | 18.06% |
| 7 Rooms | 75, 21.99%, see rank | 13.67% | 12.27% |
| 8 Rooms | 14, 4.11%, see rank | 9.17% | 8.48% |
| 9 Rooms or More | 50, 14.66%, see rank | 11.69% | 10.60% |
| Median Rooms | 6.10, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| | 47967 Zip Code | Indiana | U.S. |
| Total Housing Units | 339, 100% | 2,797,237 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.17% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.41% | 2.36% |
| 3 Rooms | 2, 0.59%, see rank | 6.49% | 8.97% |
| 4 Rooms | 46, 13.57%, see rank | 14.30% | 16.57% |
| 5 Rooms | 51, 15.04%, see rank | 21.97% | 20.41% |
| 6 Rooms | 92, 27.14%, see rank | 20.24% | 18.25% |
| 7 Rooms | 66, 19.47%, see rank | 13.58% | 12.38% |
| 8 Rooms | 40, 11.80%, see rank | 9.28% | 8.59% |
| 9 Rooms or More | 42, 12.39%, see rank | 11.56% | 10.52% |
| Median Rooms | 6.30, see rank | 5.70 | 5.50 |
US Census 2000 data
| | 47967 Zip Code | Indiana | U.S. |
| Total Housing Units | 340, 100% | 2,532,319 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
| 2 Rooms | 0, 0.00%, see rank | 2.60% | 4.81% |
| 3 Rooms | 3, 0.88%, see rank | 7.08% | 9.84% |
| 4 Rooms | 36, 10.59%, see rank | 15.42% | 15.97% |
| 5 Rooms | 58, 17.06%, see rank | 23.26% | 20.89% |
| 6 Rooms | 95, 27.94%, see rank | 20.49% | 18.45% |
| 7 Rooms | 78, 22.94%, see rank | 13.30% | 12.06% |
| 8 Rooms | 38, 11.18%, see rank | 8.66% | 8.06% |
| 9 Rooms or More | 32, 9.41%, see rank | 8.31% | 7.70% |
| Median Rooms | 6.30, 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.
