93953 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 93953 Zip Code | California | U.S. |
Total Housing Units | 2,860, 100% | 13,781,929 | 132,741,033 |
1 Room | 0, 0.00%, see rank | 3.13% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.93% | 2.48% |
3 Rooms | 10, 0.35%, see rank | 12.05% | 9.13% |
4 Rooms | 201, 7.03%, see rank | 19.24% | 16.60% |
5 Rooms | 408, 14.27%, see rank | 20.56% | 20.41% |
6 Rooms | 741, 25.91%, see rank | 16.99% | 18.06% |
7 Rooms | 683, 23.88%, see rank | 11.06% | 12.27% |
8 Rooms | 335, 11.71%, see rank | 6.58% | 8.48% |
9 Rooms or More | 482, 16.85%, see rank | 6.46% | 10.60% |
Median Rooms | 6.60, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 93953 Zip Code | California | U.S. |
Total Housing Units | 2,806, 100% | 13,667,226 | 131,642,457 |
1 Room | 0, 0.00%, see rank | 3.17% | 1.95% |
2 Rooms | 0, 0.00%, see rank | 3.78% | 2.36% |
3 Rooms | 45, 1.60%, see rank | 11.88% | 8.97% |
4 Rooms | 216, 7.70%, see rank | 19.04% | 16.57% |
5 Rooms | 450, 16.04%, see rank | 20.50% | 20.41% |
6 Rooms | 769, 27.41%, see rank | 17.21% | 18.25% |
7 Rooms | 558, 19.89%, see rank | 11.27% | 12.38% |
8 Rooms | 373, 13.29%, see rank | 6.78% | 8.59% |
9 Rooms or More | 395, 14.08%, see rank | 6.38% | 10.52% |
Median Rooms | 6.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 93953 Zip Code | California | U.S. |
Total Housing Units | 2,745, 100% | 12,214,549 | 115,904,641 |
1 Room | 9, 0.33%, see rank | 5.01% | 2.20% |
2 Rooms | 9, 0.33%, see rank | 9.38% | 4.81% |
3 Rooms | 62, 2.26%, see rank | 13.85% | 9.84% |
4 Rooms | 148, 5.39%, see rank | 15.75% | 15.97% |
5 Rooms | 360, 13.11%, see rank | 18.95% | 20.89% |
6 Rooms | 689, 25.10%, see rank | 16.50% | 18.45% |
7 Rooms | 642, 23.39%, see rank | 10.33% | 12.06% |
8 Rooms | 419, 15.26%, see rank | 5.93% | 8.06% |
9 Rooms or More | 407, 14.83%, see rank | 4.31% | 7.70% |
Median Rooms | 6.60, see rank | 4.80 | 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.