43906 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 43906 Zip Code | Ohio | U.S. |
Total Housing Units | 4,275, 100% | 5,135,173 | 132,741,033 |
1 Room | 99, 2.32%, see rank | 1.26% | 1.95% |
2 Rooms | 15, 0.35%, see rank | 1.48% | 2.48% |
3 Rooms | 136, 3.18%, see rank | 6.77% | 9.13% |
4 Rooms | 839, 19.63%, see rank | 13.78% | 16.60% |
5 Rooms | 1,178, 27.56%, see rank | 19.68% | 20.41% |
6 Rooms | 944, 22.08%, see rank | 20.19% | 18.06% |
7 Rooms | 423, 9.89%, see rank | 14.38% | 12.27% |
8 Rooms | 367, 8.58%, see rank | 10.23% | 8.48% |
9 Rooms or More | 274, 6.41%, see rank | 12.22% | 10.60% |
Median Rooms | 5.40, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 43906 Zip Code | Ohio | U.S. |
Total Housing Units | 4,339, 100% | 5,124,503 | 131,642,457 |
1 Room | 155, 3.57%, see rank | 1.24% | 1.95% |
2 Rooms | 36, 0.83%, see rank | 1.40% | 2.36% |
3 Rooms | 153, 3.53%, see rank | 6.70% | 8.97% |
4 Rooms | 591, 13.62%, see rank | 13.67% | 16.57% |
5 Rooms | 1,097, 25.28%, see rank | 19.64% | 20.41% |
6 Rooms | 1,078, 24.84%, see rank | 20.38% | 18.25% |
7 Rooms | 514, 11.85%, see rank | 14.49% | 12.38% |
8 Rooms | 378, 8.71%, see rank | 10.32% | 8.59% |
9 Rooms or More | 337, 7.77%, see rank | 12.15% | 10.52% |
Median Rooms | 5.60, see rank | 5.90 | 5.50 |
US Census 2000 data
| 43906 Zip Code | Ohio | U.S. |
Total Housing Units | 4,565, 100% | 4,783,051 | 115,904,641 |
1 Room | 55, 1.20%, see rank | 0.91% | 2.20% |
2 Rooms | 83, 1.82%, see rank | 2.39% | 4.81% |
3 Rooms | 308, 6.75%, see rank | 6.98% | 9.84% |
4 Rooms | 706, 15.47%, see rank | 13.73% | 15.97% |
5 Rooms | 1,290, 28.26%, see rank | 21.28% | 20.89% |
6 Rooms | 1,121, 24.56%, see rank | 20.97% | 18.45% |
7 Rooms | 528, 11.57%, see rank | 14.58% | 12.06% |
8 Rooms | 253, 5.54%, see rank | 10.04% | 8.06% |
9 Rooms or More | 221, 4.84%, see rank | 9.12% | 7.70% |
Median Rooms | 5.40, 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.