47620 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47620 Zip Code | Indiana | U.S. |
Total Housing Units | 5,754, 100% | 2,811,617 | 132,741,033 |
1 Room | 74, 1.29%, see rank | 1.26% | 1.95% |
2 Rooms | 148, 2.57%, see rank | 1.46% | 2.48% |
3 Rooms | 298, 5.18%, see rank | 6.64% | 9.13% |
4 Rooms | 606, 10.53%, see rank | 14.31% | 16.60% |
5 Rooms | 1,504, 26.14%, see rank | 21.67% | 20.41% |
6 Rooms | 1,190, 20.68%, see rank | 20.12% | 18.06% |
7 Rooms | 766, 13.31%, see rank | 13.67% | 12.27% |
8 Rooms | 500, 8.69%, see rank | 9.17% | 8.48% |
9 Rooms or More | 668, 11.61%, see rank | 11.69% | 10.60% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47620 Zip Code | Indiana | U.S. |
Total Housing Units | 5,872, 100% | 2,797,237 | 131,642,457 |
1 Room | 115, 1.96%, see rank | 1.17% | 1.95% |
2 Rooms | 106, 1.81%, see rank | 1.41% | 2.36% |
3 Rooms | 286, 4.87%, see rank | 6.49% | 8.97% |
4 Rooms | 790, 13.45%, see rank | 14.30% | 16.57% |
5 Rooms | 1,470, 25.03%, see rank | 21.97% | 20.41% |
6 Rooms | 1,061, 18.07%, see rank | 20.24% | 18.25% |
7 Rooms | 809, 13.78%, see rank | 13.58% | 12.38% |
8 Rooms | 536, 9.13%, see rank | 9.28% | 8.59% |
9 Rooms or More | 699, 11.90%, see rank | 11.56% | 10.52% |
Median Rooms | 5.70, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47620 Zip Code | Indiana | U.S. |
Total Housing Units | 5,908, 100% | 2,532,319 | 115,904,641 |
1 Room | 23, 0.39%, see rank | 0.89% | 2.20% |
2 Rooms | 75, 1.27%, see rank | 2.60% | 4.81% |
3 Rooms | 433, 7.33%, see rank | 7.08% | 9.84% |
4 Rooms | 988, 16.72%, see rank | 15.42% | 15.97% |
5 Rooms | 1,339, 22.66%, see rank | 23.26% | 20.89% |
6 Rooms | 1,275, 21.58%, see rank | 20.49% | 18.45% |
7 Rooms | 848, 14.35%, see rank | 13.30% | 12.06% |
8 Rooms | 452, 7.65%, see rank | 8.66% | 8.06% |
9 Rooms or More | 475, 8.04%, see rank | 8.31% | 7.70% |
Median Rooms | 5.60, 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.