47882 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 47882 Zip Code | Indiana | U.S. |
Total Housing Units | 3,755, 100% | 2,811,617 | 132,741,033 |
1 Room | 215, 5.73%, see rank | 1.26% | 1.95% |
2 Rooms | 11, 0.29%, see rank | 1.46% | 2.48% |
3 Rooms | 179, 4.77%, see rank | 6.64% | 9.13% |
4 Rooms | 339, 9.03%, see rank | 14.31% | 16.60% |
5 Rooms | 1,024, 27.27%, see rank | 21.67% | 20.41% |
6 Rooms | 942, 25.09%, see rank | 20.12% | 18.06% |
7 Rooms | 339, 9.03%, see rank | 13.67% | 12.27% |
8 Rooms | 333, 8.87%, see rank | 9.17% | 8.48% |
9 Rooms or More | 373, 9.93%, see rank | 11.69% | 10.60% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 47882 Zip Code | Indiana | U.S. |
Total Housing Units | 3,871, 100% | 2,797,237 | 131,642,457 |
1 Room | 141, 3.64%, see rank | 1.17% | 1.95% |
2 Rooms | 13, 0.34%, see rank | 1.41% | 2.36% |
3 Rooms | 220, 5.68%, see rank | 6.49% | 8.97% |
4 Rooms | 517, 13.36%, see rank | 14.30% | 16.57% |
5 Rooms | 956, 24.70%, see rank | 21.97% | 20.41% |
6 Rooms | 910, 23.51%, see rank | 20.24% | 18.25% |
7 Rooms | 359, 9.27%, see rank | 13.58% | 12.38% |
8 Rooms | 347, 8.96%, see rank | 9.28% | 8.59% |
9 Rooms or More | 408, 10.54%, see rank | 11.56% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 47882 Zip Code | Indiana | U.S. |
Total Housing Units | 3,794, 100% | 2,532,319 | 115,904,641 |
1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
2 Rooms | 33, 0.87%, see rank | 2.60% | 4.81% |
3 Rooms | 320, 8.43%, see rank | 7.08% | 9.84% |
4 Rooms | 558, 14.71%, see rank | 15.42% | 15.97% |
5 Rooms | 974, 25.67%, see rank | 23.26% | 20.89% |
6 Rooms | 825, 21.74%, see rank | 20.49% | 18.45% |
7 Rooms | 550, 14.50%, see rank | 13.30% | 12.06% |
8 Rooms | 261, 6.88%, see rank | 8.66% | 8.06% |
9 Rooms or More | 273, 7.20%, 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.