46303 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 46303 Zip Code | Indiana | U.S. |
Total Housing Units | 5,415, 100% | 2,811,617 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 1.26% | 1.95% |
2 Rooms | 40, 0.74%, see rank | 1.46% | 2.48% |
3 Rooms | 229, 4.23%, see rank | 6.64% | 9.13% |
4 Rooms | 766, 14.15%, see rank | 14.31% | 16.60% |
5 Rooms | 1,322, 24.41%, see rank | 21.67% | 20.41% |
6 Rooms | 1,106, 20.42%, see rank | 20.12% | 18.06% |
7 Rooms | 1,012, 18.69%, see rank | 13.67% | 12.27% |
8 Rooms | 531, 9.81%, see rank | 9.17% | 8.48% |
9 Rooms or More | 409, 7.55%, see rank | 11.69% | 10.60% |
Median Rooms | 5.80, see rank | 5.70 | 5.50 |
ACS 2008-2012 data
| 46303 Zip Code | Indiana | U.S. |
Total Housing Units | 5,490, 100% | 2,797,237 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 1.17% | 1.95% |
2 Rooms | 27, 0.49%, see rank | 1.41% | 2.36% |
3 Rooms | 188, 3.42%, see rank | 6.49% | 8.97% |
4 Rooms | 854, 15.56%, see rank | 14.30% | 16.57% |
5 Rooms | 1,543, 28.11%, see rank | 21.97% | 20.41% |
6 Rooms | 1,175, 21.40%, see rank | 20.24% | 18.25% |
7 Rooms | 1,007, 18.34%, see rank | 13.58% | 12.38% |
8 Rooms | 380, 6.92%, see rank | 9.28% | 8.59% |
9 Rooms or More | 316, 5.76%, see rank | 11.56% | 10.52% |
Median Rooms | 5.60, see rank | 5.70 | 5.50 |
US Census 2000 data
| 46303 Zip Code | Indiana | U.S. |
Total Housing Units | 4,545, 100% | 2,532,319 | 115,904,641 |
1 Room | 14, 0.31%, see rank | 0.89% | 2.20% |
2 Rooms | 68, 1.50%, see rank | 2.60% | 4.81% |
3 Rooms | 224, 4.93%, see rank | 7.08% | 9.84% |
4 Rooms | 940, 20.68%, see rank | 15.42% | 15.97% |
5 Rooms | 986, 21.69%, see rank | 23.26% | 20.89% |
6 Rooms | 1,072, 23.59%, see rank | 20.49% | 18.45% |
7 Rooms | 648, 14.26%, see rank | 13.30% | 12.06% |
8 Rooms | 345, 7.59%, see rank | 8.66% | 8.06% |
9 Rooms or More | 248, 5.46%, 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.