43935 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 43935 Zip Code | Ohio | U.S. |
Total Housing Units | 4,155, 100% | 5,135,173 | 132,741,033 |
1 Room | 43, 1.03%, see rank | 1.26% | 1.95% |
2 Rooms | 85, 2.05%, see rank | 1.48% | 2.48% |
3 Rooms | 249, 5.99%, see rank | 6.77% | 9.13% |
4 Rooms | 752, 18.10%, see rank | 13.78% | 16.60% |
5 Rooms | 875, 21.06%, see rank | 19.68% | 20.41% |
6 Rooms | 1,065, 25.63%, see rank | 20.19% | 18.06% |
7 Rooms | 399, 9.60%, see rank | 14.38% | 12.27% |
8 Rooms | 436, 10.49%, see rank | 10.23% | 8.48% |
9 Rooms or More | 251, 6.04%, see rank | 12.22% | 10.60% |
Median Rooms | 5.60, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 43935 Zip Code | Ohio | U.S. |
Total Housing Units | 4,243, 100% | 5,124,503 | 131,642,457 |
1 Room | 64, 1.51%, see rank | 1.24% | 1.95% |
2 Rooms | 53, 1.25%, see rank | 1.40% | 2.36% |
3 Rooms | 228, 5.37%, see rank | 6.70% | 8.97% |
4 Rooms | 837, 19.73%, see rank | 13.67% | 16.57% |
5 Rooms | 1,037, 24.44%, see rank | 19.64% | 20.41% |
6 Rooms | 1,002, 23.62%, see rank | 20.38% | 18.25% |
7 Rooms | 416, 9.80%, see rank | 14.49% | 12.38% |
8 Rooms | 453, 10.68%, see rank | 10.32% | 8.59% |
9 Rooms or More | 153, 3.61%, see rank | 12.15% | 10.52% |
Median Rooms | 5.40, see rank | 5.90 | 5.50 |
US Census 2000 data
| 43935 Zip Code | Ohio | U.S. |
Total Housing Units | 4,639, 100% | 4,783,051 | 115,904,641 |
1 Room | 51, 1.10%, see rank | 0.91% | 2.20% |
2 Rooms | 92, 1.98%, see rank | 2.39% | 4.81% |
3 Rooms | 350, 7.54%, see rank | 6.98% | 9.84% |
4 Rooms | 768, 16.56%, see rank | 13.73% | 15.97% |
5 Rooms | 1,111, 23.95%, see rank | 21.28% | 20.89% |
6 Rooms | 1,169, 25.20%, see rank | 20.97% | 18.45% |
7 Rooms | 605, 13.04%, see rank | 14.58% | 12.06% |
8 Rooms | 281, 6.06%, see rank | 10.04% | 8.06% |
9 Rooms or More | 212, 4.57%, see rank | 9.12% | 7.70% |
Median Rooms | 5.50, see rank | 5.70 | 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.