42629 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 42629 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,102, 100% | 1,938,836 | 132,741,033 |
1 Room | 336, 10.83%, see rank | 1.31% | 1.95% |
2 Rooms | 32, 1.03%, see rank | 1.58% | 2.48% |
3 Rooms | 172, 5.54%, see rank | 6.92% | 9.13% |
4 Rooms | 524, 16.89%, see rank | 16.56% | 16.60% |
5 Rooms | 701, 22.60%, see rank | 22.96% | 20.41% |
6 Rooms | 475, 15.31%, see rank | 19.01% | 18.06% |
7 Rooms | 343, 11.06%, see rank | 12.52% | 12.27% |
8 Rooms | 207, 6.67%, see rank | 8.32% | 8.48% |
9 Rooms or More | 312, 10.06%, see rank | 10.81% | 10.60% |
Median Rooms | 5.20, see rank | 5.50 | 5.50 |
ACS 2008-2012 data
| 42629 Zip Code | Kentucky | U.S. |
Total Housing Units | 3,208, 100% | 1,927,916 | 131,642,457 |
1 Room | 220, 6.86%, see rank | 1.25% | 1.95% |
2 Rooms | 14, 0.44%, see rank | 1.46% | 2.36% |
3 Rooms | 156, 4.86%, see rank | 6.71% | 8.97% |
4 Rooms | 515, 16.05%, see rank | 16.61% | 16.57% |
5 Rooms | 828, 25.81%, see rank | 23.21% | 20.41% |
6 Rooms | 669, 20.85%, see rank | 19.21% | 18.25% |
7 Rooms | 400, 12.47%, see rank | 12.52% | 12.38% |
8 Rooms | 143, 4.46%, see rank | 8.43% | 8.59% |
9 Rooms or More | 263, 8.20%, see rank | 10.60% | 10.52% |
Median Rooms | 5.30, see rank | 5.50 | 5.50 |
US Census 2000 data
| 42629 Zip Code | Kentucky | U.S. |
Total Housing Units | 2,699, 100% | 1,750,927 | 115,904,641 |
1 Room | 24, 0.89%, see rank | 0.89% | 2.20% |
2 Rooms | 57, 2.11%, see rank | 2.36% | 4.81% |
3 Rooms | 297, 11.00%, see rank | 6.95% | 9.84% |
4 Rooms | 503, 18.64%, see rank | 18.29% | 15.97% |
5 Rooms | 726, 26.90%, see rank | 25.17% | 20.89% |
6 Rooms | 539, 19.97%, see rank | 19.46% | 18.45% |
7 Rooms | 255, 9.45%, see rank | 12.06% | 12.06% |
8 Rooms | 141, 5.22%, see rank | 7.58% | 8.06% |
9 Rooms or More | 157, 5.82%, see rank | 7.24% | 7.70% |
Median Rooms | 5.10, 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.