41764 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| | 41764 Zip Code | Kentucky | U.S. |
| Total Housing Units | 365, 100% | 1,938,836 | 132,741,033 |
| 1 Room | 6, 1.64%, see rank | 1.31% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.58% | 2.48% |
| 3 Rooms | 23, 6.30%, see rank | 6.92% | 9.13% |
| 4 Rooms | 51, 13.97%, see rank | 16.56% | 16.60% |
| 5 Rooms | 120, 32.88%, see rank | 22.96% | 20.41% |
| 6 Rooms | 80, 21.92%, see rank | 19.01% | 18.06% |
| 7 Rooms | 35, 9.59%, see rank | 12.52% | 12.27% |
| 8 Rooms | 24, 6.58%, see rank | 8.32% | 8.48% |
| 9 Rooms or More | 26, 7.12%, see rank | 10.81% | 10.60% |
| Median Rooms | 5.40, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| | 41764 Zip Code | Kentucky | U.S. |
| Total Housing Units | 345, 100% | 1,927,916 | 131,642,457 |
| 1 Room | 0, 0.00%, see rank | 1.25% | 1.95% |
| 2 Rooms | 0, 0.00%, see rank | 1.46% | 2.36% |
| 3 Rooms | 41, 11.88%, see rank | 6.71% | 8.97% |
| 4 Rooms | 67, 19.42%, see rank | 16.61% | 16.57% |
| 5 Rooms | 127, 36.81%, see rank | 23.21% | 20.41% |
| 6 Rooms | 51, 14.78%, see rank | 19.21% | 18.25% |
| 7 Rooms | 32, 9.28%, see rank | 12.52% | 12.38% |
| 8 Rooms | 10, 2.90%, see rank | 8.43% | 8.59% |
| 9 Rooms or More | 17, 4.93%, see rank | 10.60% | 10.52% |
| Median Rooms | 5.00, see rank | 5.50 | 5.50 |
US Census 2000 data
| | 41764 Zip Code | Kentucky | U.S. |
| Total Housing Units | 331, 100% | 1,750,927 | 115,904,641 |
| 1 Room | 0, 0.00%, see rank | 0.89% | 2.20% |
| 2 Rooms | 0, 0.00%, see rank | 2.36% | 4.81% |
| 3 Rooms | 3, 0.91%, see rank | 6.95% | 9.84% |
| 4 Rooms | 90, 27.19%, see rank | 18.29% | 15.97% |
| 5 Rooms | 141, 42.60%, see rank | 25.17% | 20.89% |
| 6 Rooms | 61, 18.43%, see rank | 19.46% | 18.45% |
| 7 Rooms | 20, 6.04%, see rank | 12.06% | 12.06% |
| 8 Rooms | 16, 4.83%, see rank | 7.58% | 8.06% |
| 9 Rooms or More | 0, 0.00%, see rank | 7.24% | 7.70% |
| Median Rooms | 5.00, 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.
