45219 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 45219 Zip Code | Ohio | U.S. |
Total Housing Units | 7,617, 100% | 5,135,173 | 132,741,033 |
1 Room | 285, 3.74%, see rank | 1.26% | 1.95% |
2 Rooms | 643, 8.44%, see rank | 1.48% | 2.48% |
3 Rooms | 2,057, 27.01%, see rank | 6.77% | 9.13% |
4 Rooms | 1,514, 19.88%, see rank | 13.78% | 16.60% |
5 Rooms | 974, 12.79%, see rank | 19.68% | 20.41% |
6 Rooms | 972, 12.76%, see rank | 20.19% | 18.06% |
7 Rooms | 326, 4.28%, see rank | 14.38% | 12.27% |
8 Rooms | 289, 3.79%, see rank | 10.23% | 8.48% |
9 Rooms or More | 557, 7.31%, see rank | 12.22% | 10.60% |
Median Rooms | 4.00, see rank | 5.80 | 5.50 |
ACS 2008-2012 data
| 45219 Zip Code | Ohio | U.S. |
Total Housing Units | 7,873, 100% | 5,124,503 | 131,642,457 |
1 Room | 371, 4.71%, see rank | 1.24% | 1.95% |
2 Rooms | 749, 9.51%, see rank | 1.40% | 2.36% |
3 Rooms | 1,958, 24.87%, see rank | 6.70% | 8.97% |
4 Rooms | 1,424, 18.09%, see rank | 13.67% | 16.57% |
5 Rooms | 1,066, 13.54%, see rank | 19.64% | 20.41% |
6 Rooms | 921, 11.70%, see rank | 20.38% | 18.25% |
7 Rooms | 313, 3.98%, see rank | 14.49% | 12.38% |
8 Rooms | 333, 4.23%, see rank | 10.32% | 8.59% |
9 Rooms or More | 738, 9.37%, see rank | 12.15% | 10.52% |
Median Rooms | 4.10, see rank | 5.90 | 5.50 |
US Census 2000 data
| 45219 Zip Code | Ohio | U.S. |
Total Housing Units | 8,395, 100% | 4,783,051 | 115,904,641 |
1 Room | 719, 8.56%, see rank | 0.91% | 2.20% |
2 Rooms | 881, 10.49%, see rank | 2.39% | 4.81% |
3 Rooms | 2,333, 27.79%, see rank | 6.98% | 9.84% |
4 Rooms | 1,451, 17.28%, see rank | 13.73% | 15.97% |
5 Rooms | 1,025, 12.21%, see rank | 21.28% | 20.89% |
6 Rooms | 925, 11.02%, see rank | 20.97% | 18.45% |
7 Rooms | 373, 4.44%, see rank | 14.58% | 12.06% |
8 Rooms | 299, 3.56%, see rank | 10.04% | 8.06% |
9 Rooms or More | 389, 4.63%, see rank | 9.12% | 7.70% |
Median Rooms | 3.70, 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.