45344 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45344 Zip Code | Ohio | U.S. |
Total Housing Units | 6,524, 100% | 5,135,173 | 132,741,033 |
1 Room | 8, 0.12%, see rank | 1.26% | 1.95% |
2 Rooms | 32, 0.49%, see rank | 1.48% | 2.48% |
3 Rooms | 254, 3.89%, see rank | 6.77% | 9.13% |
4 Rooms | 622, 9.53%, see rank | 13.78% | 16.60% |
5 Rooms | 1,705, 26.13%, see rank | 19.68% | 20.41% |
6 Rooms | 1,599, 24.51%, see rank | 20.19% | 18.06% |
7 Rooms | 777, 11.91%, see rank | 14.38% | 12.27% |
8 Rooms | 747, 11.45%, see rank | 10.23% | 8.48% |
9 Rooms or More | 780, 11.96%, see rank | 12.22% | 10.60% |
Median Rooms | 5.90, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45344 Zip Code | Ohio | U.S. |
Total Housing Units | 6,816, 100% | 5,124,503 | 131,642,457 |
1 Room | 7, 0.10%, see rank | 1.24% | 1.95% |
2 Rooms | 34, 0.50%, see rank | 1.40% | 2.36% |
3 Rooms | 290, 4.25%, see rank | 6.70% | 8.97% |
4 Rooms | 630, 9.24%, see rank | 13.67% | 16.57% |
5 Rooms | 1,760, 25.82%, see rank | 19.64% | 20.41% |
6 Rooms | 1,685, 24.72%, see rank | 20.38% | 18.25% |
7 Rooms | 756, 11.09%, see rank | 14.49% | 12.38% |
8 Rooms | 800, 11.74%, see rank | 10.32% | 8.59% |
9 Rooms or More | 854, 12.53%, see rank | 12.15% | 10.52% |
Median Rooms | 5.90, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45344 Zip Code | Ohio | U.S. |
Total Housing Units | 6,968, 100% | 4,783,051 | 115,904,641 |
1 Room | 16, 0.23%, see rank | 0.91% | 2.20% |
2 Rooms | 59, 0.85%, see rank | 2.39% | 4.81% |
3 Rooms | 193, 2.77%, see rank | 6.98% | 9.84% |
4 Rooms | 631, 9.06%, see rank | 13.73% | 15.97% |
5 Rooms | 1,985, 28.49%, see rank | 21.28% | 20.89% |
6 Rooms | 1,642, 23.56%, see rank | 20.97% | 18.45% |
7 Rooms | 1,089, 15.63%, see rank | 14.58% | 12.06% |
8 Rooms | 749, 10.75%, see rank | 10.04% | 8.06% |
9 Rooms or More | 604, 8.67%, 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.