45216 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45216 Zip Code | Ohio | U.S. |
Total Housing Units | 4,995, 100% | 5,135,173 | 132,741,033 |
1 Room | 318, 6.37%, see rank | 1.26% | 1.95% |
2 Rooms | 198, 3.96%, see rank | 1.48% | 2.48% |
3 Rooms | 634, 12.69%, see rank | 6.77% | 9.13% |
4 Rooms | 1,026, 20.54%, see rank | 13.78% | 16.60% |
5 Rooms | 905, 18.12%, see rank | 19.68% | 20.41% |
6 Rooms | 875, 17.52%, see rank | 20.19% | 18.06% |
7 Rooms | 491, 9.83%, see rank | 14.38% | 12.27% |
8 Rooms | 251, 5.03%, see rank | 10.23% | 8.48% |
9 Rooms or More | 297, 5.95%, see rank | 12.22% | 10.60% |
Median Rooms | 4.90, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45216 Zip Code | Ohio | U.S. |
Total Housing Units | 4,885, 100% | 5,124,503 | 131,642,457 |
1 Room | 268, 5.49%, see rank | 1.24% | 1.95% |
2 Rooms | 144, 2.95%, see rank | 1.40% | 2.36% |
3 Rooms | 681, 13.94%, see rank | 6.70% | 8.97% |
4 Rooms | 905, 18.53%, see rank | 13.67% | 16.57% |
5 Rooms | 986, 20.18%, see rank | 19.64% | 20.41% |
6 Rooms | 914, 18.71%, see rank | 20.38% | 18.25% |
7 Rooms | 500, 10.24%, see rank | 14.49% | 12.38% |
8 Rooms | 257, 5.26%, see rank | 10.32% | 8.59% |
9 Rooms or More | 230, 4.71%, see rank | 12.15% | 10.52% |
Median Rooms | 5.00, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45216 Zip Code | Ohio | U.S. |
Total Housing Units | 4,646, 100% | 4,783,051 | 115,904,641 |
1 Room | 143, 3.08%, see rank | 0.91% | 2.20% |
2 Rooms | 216, 4.65%, see rank | 2.39% | 4.81% |
3 Rooms | 654, 14.08%, see rank | 6.98% | 9.84% |
4 Rooms | 831, 17.89%, see rank | 13.73% | 15.97% |
5 Rooms | 930, 20.02%, see rank | 21.28% | 20.89% |
6 Rooms | 889, 19.13%, see rank | 20.97% | 18.45% |
7 Rooms | 489, 10.53%, see rank | 14.58% | 12.06% |
8 Rooms | 271, 5.83%, see rank | 10.04% | 8.06% |
9 Rooms or More | 223, 4.80%, see rank | 9.12% | 7.70% |
Median Rooms | 5.00, 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.