47965 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 47965 Zip Code | Indiana | U.S. |
| Total Housing Units | 259, 100% | 2,811,617 | 132,741,033 |
| 1 Room | 0, 0.00%, see rank | 1.26% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.46% | 2.48% |
| 3 Rooms | 3, 1.16%, see rank | 6.64% | 9.13% |
| 4 Rooms | 21, 8.11%, see rank | 14.31% | 16.60% |
| 5 Rooms | 89, 34.36%, see rank | 21.67% | 20.41% |
| 6 Rooms | 63, 24.32%, see rank | 20.12% | 18.06% |
| 7 Rooms | 39, 15.06%, see rank | 13.67% | 12.27% |
| 8 Rooms | 30, 11.58%, see rank | 9.17% | 8.48% |
| 9 Rooms or More | 14, 5.41%, see rank | 11.69% | 10.60% |
| Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| | 47965 Zip Code | Indiana | U.S. |
| Total Housing Units | 291, 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 | 4, 1.37%, see rank | 6.49% | 8.97% |
| 4 Rooms | 10, 3.44%, see rank | 14.30% | 16.57% |
| 5 Rooms | 71, 24.40%, see rank | 21.97% | 20.41% |
| 6 Rooms | 115, 39.52%, see rank | 20.24% | 18.25% |
| 7 Rooms | 34, 11.68%, see rank | 13.58% | 12.38% |
| 8 Rooms | 29, 9.97%, see rank | 9.28% | 8.59% |
| 9 Rooms or More | 28, 9.62%, see rank | 11.56% | 10.52% |
| Median Rooms | 6.00, see rank | 5.70 | 5.50 |
US Census 2000 data
| | 47965 Zip Code | Indiana | U.S. |
| Total Housing Units | 162, 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 | 12, 7.41%, see rank | 7.08% | 9.84% |
| 4 Rooms | 23, 14.20%, see rank | 15.42% | 15.97% |
| 5 Rooms | 66, 40.74%, see rank | 23.26% | 20.89% |
| 6 Rooms | 21, 12.96%, see rank | 20.49% | 18.45% |
| 7 Rooms | 18, 11.11%, see rank | 13.30% | 12.06% |
| 8 Rooms | 18, 11.11%, see rank | 8.66% | 8.06% |
| 9 Rooms or More | 4, 2.47%, see rank | 8.31% | 7.70% |
| Median Rooms | 5.20, 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.
