47001 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47001 Zip Code | Indiana | U.S. |
Total Housing Units | 4,509, 100% | 2,811,617 | 132,741,033 |
1 Room | 71, 1.57%, see rank | 1.26% | 1.95% |
2 Rooms | 89, 1.97%, see rank | 1.46% | 2.48% |
3 Rooms | 285, 6.32%, see rank | 6.64% | 9.13% |
4 Rooms | 547, 12.13%, see rank | 14.31% | 16.60% |
5 Rooms | 1,179, 26.15%, see rank | 21.67% | 20.41% |
6 Rooms | 1,073, 23.80%, see rank | 20.12% | 18.06% |
7 Rooms | 567, 12.57%, see rank | 13.67% | 12.27% |
8 Rooms | 228, 5.06%, see rank | 9.17% | 8.48% |
9 Rooms or More | 470, 10.42%, see rank | 11.69% | 10.60% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47001 Zip Code | Indiana | U.S. |
Total Housing Units | 4,356, 100% | 2,797,237 | 131,642,457 |
1 Room | 62, 1.42%, see rank | 1.17% | 1.95% |
2 Rooms | 75, 1.72%, see rank | 1.41% | 2.36% |
3 Rooms | 276, 6.34%, see rank | 6.49% | 8.97% |
4 Rooms | 480, 11.02%, see rank | 14.30% | 16.57% |
5 Rooms | 1,243, 28.54%, see rank | 21.97% | 20.41% |
6 Rooms | 946, 21.72%, see rank | 20.24% | 18.25% |
7 Rooms | 496, 11.39%, see rank | 13.58% | 12.38% |
8 Rooms | 330, 7.58%, see rank | 9.28% | 8.59% |
9 Rooms or More | 448, 10.28%, see rank | 11.56% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47001 Zip Code | Indiana | U.S. |
Total Housing Units | 4,211, 100% | 2,532,319 | 115,904,641 |
1 Room | 22, 0.52%, see rank | 0.89% | 2.20% |
2 Rooms | 66, 1.57%, see rank | 2.60% | 4.81% |
3 Rooms | 211, 5.01%, see rank | 7.08% | 9.84% |
4 Rooms | 522, 12.40%, see rank | 15.42% | 15.97% |
5 Rooms | 1,008, 23.94%, see rank | 23.26% | 20.89% |
6 Rooms | 1,059, 25.15%, see rank | 20.49% | 18.45% |
7 Rooms | 629, 14.94%, see rank | 13.30% | 12.06% |
8 Rooms | 403, 9.57%, see rank | 8.66% | 8.06% |
9 Rooms or More | 291, 6.91%, see rank | 8.31% | 7.70% |
Median Rooms | 5.80, 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.