47421 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47421 Zip Code | Indiana | U.S. |
Total Housing Units | 12,755, 100% | 2,811,617 | 132,741,033 |
1 Room | 122, 0.96%, see rank | 1.26% | 1.95% |
2 Rooms | 152, 1.19%, see rank | 1.46% | 2.48% |
3 Rooms | 722, 5.66%, see rank | 6.64% | 9.13% |
4 Rooms | 2,065, 16.19%, see rank | 14.31% | 16.60% |
5 Rooms | 3,095, 24.26%, see rank | 21.67% | 20.41% |
6 Rooms | 2,849, 22.34%, see rank | 20.12% | 18.06% |
7 Rooms | 1,652, 12.95%, see rank | 13.67% | 12.27% |
8 Rooms | 1,053, 8.26%, see rank | 9.17% | 8.48% |
9 Rooms or More | 1,045, 8.19%, see rank | 11.69% | 10.60% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47421 Zip Code | Indiana | U.S. |
Total Housing Units | 12,630, 100% | 2,797,237 | 131,642,457 |
1 Room | 88, 0.70%, see rank | 1.17% | 1.95% |
2 Rooms | 191, 1.51%, see rank | 1.41% | 2.36% |
3 Rooms | 784, 6.21%, see rank | 6.49% | 8.97% |
4 Rooms | 2,112, 16.72%, see rank | 14.30% | 16.57% |
5 Rooms | 3,052, 24.16%, see rank | 21.97% | 20.41% |
6 Rooms | 2,887, 22.86%, see rank | 20.24% | 18.25% |
7 Rooms | 1,526, 12.08%, see rank | 13.58% | 12.38% |
8 Rooms | 1,017, 8.05%, see rank | 9.28% | 8.59% |
9 Rooms or More | 973, 7.70%, see rank | 11.56% | 10.52% |
Median Rooms | 5.50, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47421 Zip Code | Indiana | U.S. |
Total Housing Units | 12,537, 100% | 2,532,319 | 115,904,641 |
1 Room | 146, 1.16%, see rank | 0.89% | 2.20% |
2 Rooms | 269, 2.15%, see rank | 2.60% | 4.81% |
3 Rooms | 934, 7.45%, see rank | 7.08% | 9.84% |
4 Rooms | 2,096, 16.72%, see rank | 15.42% | 15.97% |
5 Rooms | 3,368, 26.86%, see rank | 23.26% | 20.89% |
6 Rooms | 2,381, 18.99%, see rank | 20.49% | 18.45% |
7 Rooms | 1,690, 13.48%, see rank | 13.30% | 12.06% |
8 Rooms | 921, 7.35%, see rank | 8.66% | 8.06% |
9 Rooms or More | 732, 5.84%, see rank | 8.31% | 7.70% |
Median Rooms | 5.30, 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.