47424 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47424 Zip Code | Indiana | U.S. |
Total Housing Units | 4,113, 100% | 2,811,617 | 132,741,033 |
1 Room | 190, 4.62%, see rank | 1.26% | 1.95% |
2 Rooms | 39, 0.95%, see rank | 1.46% | 2.48% |
3 Rooms | 173, 4.21%, see rank | 6.64% | 9.13% |
4 Rooms | 552, 13.42%, see rank | 14.31% | 16.60% |
5 Rooms | 959, 23.32%, see rank | 21.67% | 20.41% |
6 Rooms | 761, 18.50%, see rank | 20.12% | 18.06% |
7 Rooms | 635, 15.44%, see rank | 13.67% | 12.27% |
8 Rooms | 368, 8.95%, see rank | 9.17% | 8.48% |
9 Rooms or More | 436, 10.60%, see rank | 11.69% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47424 Zip Code | Indiana | U.S. |
Total Housing Units | 4,085, 100% | 2,797,237 | 131,642,457 |
1 Room | 86, 2.11%, see rank | 1.17% | 1.95% |
2 Rooms | 68, 1.66%, see rank | 1.41% | 2.36% |
3 Rooms | 121, 2.96%, see rank | 6.49% | 8.97% |
4 Rooms | 543, 13.29%, see rank | 14.30% | 16.57% |
5 Rooms | 1,066, 26.10%, see rank | 21.97% | 20.41% |
6 Rooms | 750, 18.36%, see rank | 20.24% | 18.25% |
7 Rooms | 673, 16.47%, see rank | 13.58% | 12.38% |
8 Rooms | 399, 9.77%, see rank | 9.28% | 8.59% |
9 Rooms or More | 379, 9.28%, see rank | 11.56% | 10.52% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47424 Zip Code | Indiana | U.S. |
Total Housing Units | 4,144, 100% | 2,532,319 | 115,904,641 |
1 Room | 30, 0.72%, see rank | 0.89% | 2.20% |
2 Rooms | 123, 2.97%, see rank | 2.60% | 4.81% |
3 Rooms | 154, 3.72%, see rank | 7.08% | 9.84% |
4 Rooms | 747, 18.03%, see rank | 15.42% | 15.97% |
5 Rooms | 1,127, 27.20%, see rank | 23.26% | 20.89% |
6 Rooms | 740, 17.86%, see rank | 20.49% | 18.45% |
7 Rooms | 557, 13.44%, see rank | 13.30% | 12.06% |
8 Rooms | 275, 6.64%, see rank | 8.66% | 8.06% |
9 Rooms or More | 391, 9.44%, see rank | 8.31% | 7.70% |
Median Rooms | 5.40, 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.