44030 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 44030 Zip Code | Ohio | U.S. |
Total Housing Units | 7,438, 100% | 5,135,173 | 132,741,033 |
1 Room | 117, 1.57%, see rank | 1.26% | 1.95% |
2 Rooms | 43, 0.58%, see rank | 1.48% | 2.48% |
3 Rooms | 407, 5.47%, see rank | 6.77% | 9.13% |
4 Rooms | 828, 11.13%, see rank | 13.78% | 16.60% |
5 Rooms | 1,208, 16.24%, see rank | 19.68% | 20.41% |
6 Rooms | 1,739, 23.38%, see rank | 20.19% | 18.06% |
7 Rooms | 1,329, 17.87%, see rank | 14.38% | 12.27% |
8 Rooms | 890, 11.97%, see rank | 10.23% | 8.48% |
9 Rooms or More | 877, 11.79%, see rank | 12.22% | 10.60% |
Median Rooms | 6.10, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 44030 Zip Code | Ohio | U.S. |
Total Housing Units | 7,177, 100% | 5,124,503 | 131,642,457 |
1 Room | 86, 1.20%, see rank | 1.24% | 1.95% |
2 Rooms | 78, 1.09%, see rank | 1.40% | 2.36% |
3 Rooms | 437, 6.09%, see rank | 6.70% | 8.97% |
4 Rooms | 888, 12.37%, see rank | 13.67% | 16.57% |
5 Rooms | 1,211, 16.87%, see rank | 19.64% | 20.41% |
6 Rooms | 1,738, 24.22%, see rank | 20.38% | 18.25% |
7 Rooms | 1,240, 17.28%, see rank | 14.49% | 12.38% |
8 Rooms | 612, 8.53%, see rank | 10.32% | 8.59% |
9 Rooms or More | 887, 12.36%, see rank | 12.15% | 10.52% |
Median Rooms | 6.00, see rank | 5.90 | 5.50 |
US Census 2000 data
| 44030 Zip Code | Ohio | U.S. |
Total Housing Units | 7,177, 100% | 4,783,051 | 115,904,641 |
1 Room | 20, 0.28%, see rank | 0.91% | 2.20% |
2 Rooms | 153, 2.13%, see rank | 2.39% | 4.81% |
3 Rooms | 377, 5.25%, see rank | 6.98% | 9.84% |
4 Rooms | 850, 11.84%, see rank | 13.73% | 15.97% |
5 Rooms | 1,470, 20.48%, see rank | 21.28% | 20.89% |
6 Rooms | 1,850, 25.78%, see rank | 20.97% | 18.45% |
7 Rooms | 1,193, 16.62%, see rank | 14.58% | 12.06% |
8 Rooms | 698, 9.73%, see rank | 10.04% | 8.06% |
9 Rooms or More | 566, 7.89%, see rank | 9.12% | 7.70% |
Median Rooms | 5.90, 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.