46809 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46809 Zip Code | Indiana | U.S. |
Total Housing Units | 4,172, 100% | 2,811,617 | 132,741,033 |
1 Room | 21, 0.50%, see rank | 1.26% | 1.95% |
2 Rooms | 221, 5.30%, see rank | 1.46% | 2.48% |
3 Rooms | 399, 9.56%, see rank | 6.64% | 9.13% |
4 Rooms | 655, 15.70%, see rank | 14.31% | 16.60% |
5 Rooms | 752, 18.02%, see rank | 21.67% | 20.41% |
6 Rooms | 710, 17.02%, see rank | 20.12% | 18.06% |
7 Rooms | 745, 17.86%, see rank | 13.67% | 12.27% |
8 Rooms | 334, 8.01%, see rank | 9.17% | 8.48% |
9 Rooms or More | 335, 8.03%, see rank | 11.69% | 10.60% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46809 Zip Code | Indiana | U.S. |
Total Housing Units | 4,085, 100% | 2,797,237 | 131,642,457 |
1 Room | 17, 0.42%, see rank | 1.17% | 1.95% |
2 Rooms | 184, 4.50%, see rank | 1.41% | 2.36% |
3 Rooms | 354, 8.67%, see rank | 6.49% | 8.97% |
4 Rooms | 548, 13.41%, see rank | 14.30% | 16.57% |
5 Rooms | 800, 19.58%, see rank | 21.97% | 20.41% |
6 Rooms | 675, 16.52%, see rank | 20.24% | 18.25% |
7 Rooms | 736, 18.02%, see rank | 13.58% | 12.38% |
8 Rooms | 281, 6.88%, see rank | 9.28% | 8.59% |
9 Rooms or More | 490, 12.00%, see rank | 11.56% | 10.52% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46809 Zip Code | Indiana | U.S. |
Total Housing Units | 4,187, 100% | 2,532,319 | 115,904,641 |
1 Room | 90, 2.15%, see rank | 0.89% | 2.20% |
2 Rooms | 135, 3.22%, see rank | 2.60% | 4.81% |
3 Rooms | 360, 8.60%, see rank | 7.08% | 9.84% |
4 Rooms | 634, 15.14%, see rank | 15.42% | 15.97% |
5 Rooms | 880, 21.02%, see rank | 23.26% | 20.89% |
6 Rooms | 944, 22.55%, see rank | 20.49% | 18.45% |
7 Rooms | 609, 14.55%, see rank | 13.30% | 12.06% |
8 Rooms | 304, 7.26%, see rank | 8.66% | 8.06% |
9 Rooms or More | 231, 5.52%, see rank | 8.31% | 7.70% |
Median Rooms | 5.50, 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.