47006 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47006 Zip Code | Indiana | U.S. |
Total Housing Units | 4,734, 100% | 2,811,617 | 132,741,033 |
1 Room | 64, 1.35%, see rank | 1.26% | 1.95% |
2 Rooms | 68, 1.44%, see rank | 1.46% | 2.48% |
3 Rooms | 277, 5.85%, see rank | 6.64% | 9.13% |
4 Rooms | 494, 10.44%, see rank | 14.31% | 16.60% |
5 Rooms | 855, 18.06%, see rank | 21.67% | 20.41% |
6 Rooms | 716, 15.12%, see rank | 20.12% | 18.06% |
7 Rooms | 871, 18.40%, see rank | 13.67% | 12.27% |
8 Rooms | 702, 14.83%, see rank | 9.17% | 8.48% |
9 Rooms or More | 687, 14.51%, see rank | 11.69% | 10.60% |
Median Rooms | 6.40, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47006 Zip Code | Indiana | U.S. |
Total Housing Units | 4,770, 100% | 2,797,237 | 131,642,457 |
1 Room | 53, 1.11%, see rank | 1.17% | 1.95% |
2 Rooms | 75, 1.57%, see rank | 1.41% | 2.36% |
3 Rooms | 206, 4.32%, see rank | 6.49% | 8.97% |
4 Rooms | 501, 10.50%, see rank | 14.30% | 16.57% |
5 Rooms | 886, 18.57%, see rank | 21.97% | 20.41% |
6 Rooms | 780, 16.35%, see rank | 20.24% | 18.25% |
7 Rooms | 808, 16.94%, see rank | 13.58% | 12.38% |
8 Rooms | 799, 16.75%, see rank | 9.28% | 8.59% |
9 Rooms or More | 662, 13.88%, see rank | 11.56% | 10.52% |
Median Rooms | 6.40, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47006 Zip Code | Indiana | U.S. |
Total Housing Units | 3,918, 100% | 2,532,319 | 115,904,641 |
1 Room | 29, 0.74%, see rank | 0.89% | 2.20% |
2 Rooms | 52, 1.33%, see rank | 2.60% | 4.81% |
3 Rooms | 188, 4.80%, see rank | 7.08% | 9.84% |
4 Rooms | 410, 10.46%, see rank | 15.42% | 15.97% |
5 Rooms | 643, 16.41%, see rank | 23.26% | 20.89% |
6 Rooms | 979, 24.99%, see rank | 20.49% | 18.45% |
7 Rooms | 719, 18.35%, see rank | 13.30% | 12.06% |
8 Rooms | 579, 14.78%, see rank | 8.66% | 8.06% |
9 Rooms or More | 319, 8.14%, see rank | 8.31% | 7.70% |
Median Rooms | 6.20, 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.