47550 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 47550 Zip Code | Indiana | U.S. |
| Total Housing Units | 321, 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 | 43, 13.40%, see rank | 6.64% | 9.13% |
| 4 Rooms | 33, 10.28%, see rank | 14.31% | 16.60% |
| 5 Rooms | 101, 31.46%, see rank | 21.67% | 20.41% |
| 6 Rooms | 62, 19.31%, see rank | 20.12% | 18.06% |
| 7 Rooms | 15, 4.67%, see rank | 13.67% | 12.27% |
| 8 Rooms | 20, 6.23%, see rank | 9.17% | 8.48% |
| 9 Rooms or More | 47, 14.64%, see rank | 11.69% | 10.60% |
| Median Rooms | 5.30, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| | 47550 Zip Code | Indiana | U.S. |
| Total Housing Units | 316, 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 | 0, 0.00%, see rank | 6.49% | 8.97% |
| 4 Rooms | 27, 8.54%, see rank | 14.30% | 16.57% |
| 5 Rooms | 124, 39.24%, see rank | 21.97% | 20.41% |
| 6 Rooms | 82, 25.95%, see rank | 20.24% | 18.25% |
| 7 Rooms | 50, 15.82%, see rank | 13.58% | 12.38% |
| 8 Rooms | 9, 2.85%, see rank | 9.28% | 8.59% |
| 9 Rooms or More | 24, 7.59%, see rank | 11.56% | 10.52% |
| Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| | 47550 Zip Code | Indiana | U.S. |
| Total Housing Units | 357, 100% | 2,532,319 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
| 2 Rooms | 11, 3.08%, see rank | 2.60% | 4.81% |
| 3 Rooms | 0, 0.00%, see rank | 7.08% | 9.84% |
| 4 Rooms | 31, 8.68%, see rank | 15.42% | 15.97% |
| 5 Rooms | 45, 12.61%, see rank | 23.26% | 20.89% |
| 6 Rooms | 93, 26.05%, see rank | 20.49% | 18.45% |
| 7 Rooms | 100, 28.01%, see rank | 13.30% | 12.06% |
| 8 Rooms | 54, 15.13%, see rank | 8.66% | 8.06% |
| 9 Rooms or More | 23, 6.44%, see rank | 8.31% | 7.70% |
| Median Rooms | 6.50, 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.
