41073 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 41073 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,894, 100% | 1,938,836 | 132,741,033 |
1 Room | 222, 7.67%, see rank | 1.31% | 1.95% |
2 Rooms | 18, 0.62%, see rank | 1.58% | 2.48% |
3 Rooms | 381, 13.17%, see rank | 6.92% | 9.13% |
4 Rooms | 254, 8.78%, see rank | 16.56% | 16.60% |
5 Rooms | 772, 26.68%, see rank | 22.96% | 20.41% |
6 Rooms | 505, 17.45%, see rank | 19.01% | 18.06% |
7 Rooms | 433, 14.96%, see rank | 12.52% | 12.27% |
8 Rooms | 136, 4.70%, see rank | 8.32% | 8.48% |
9 Rooms or More | 173, 5.98%, see rank | 10.81% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 41073 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,938, 100% | 1,927,916 | 131,642,457 |
1 Room | 206, 7.01%, see rank | 1.25% | 1.95% |
2 Rooms | 40, 1.36%, see rank | 1.46% | 2.36% |
3 Rooms | 310, 10.55%, see rank | 6.71% | 8.97% |
4 Rooms | 261, 8.88%, see rank | 16.61% | 16.57% |
5 Rooms | 809, 27.54%, see rank | 23.21% | 20.41% |
6 Rooms | 609, 20.73%, see rank | 19.21% | 18.25% |
7 Rooms | 357, 12.15%, see rank | 12.52% | 12.38% |
8 Rooms | 215, 7.32%, see rank | 8.43% | 8.59% |
9 Rooms or More | 131, 4.46%, see rank | 10.60% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 41073 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,835, 100% | 1,750,927 | 115,904,641 |
1 Room | 46, 1.62%, see rank | 0.89% | 2.20% |
2 Rooms | 98, 3.46%, see rank | 2.36% | 4.81% |
3 Rooms | 294, 10.37%, see rank | 6.95% | 9.84% |
4 Rooms | 483, 17.04%, see rank | 18.29% | 15.97% |
5 Rooms | 712, 25.11%, see rank | 25.17% | 20.89% |
6 Rooms | 760, 26.81%, see rank | 19.46% | 18.45% |
7 Rooms | 227, 8.01%, see rank | 12.06% | 12.06% |
8 Rooms | 149, 5.26%, see rank | 7.58% | 8.06% |
9 Rooms or More | 66, 2.33%, see rank | 7.24% | 7.70% |
Median Rooms | 5.20, see rank | 5.40 | 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.