92004 Zip Code Historical Amount of Rooms in a House Data
ACS 2010-2014 data
| 92004 Zip Code | California | U.S. |
Total Housing Units | 2,904, 100% | 13,781,929 | 132,741,033 |
1 Room | 77, 2.65%, see rank | 3.13% | 1.95% |
2 Rooms | 69, 2.38%, see rank | 3.93% | 2.48% |
3 Rooms | 332, 11.43%, see rank | 12.05% | 9.13% |
4 Rooms | 999, 34.40%, see rank | 19.24% | 16.60% |
5 Rooms | 833, 28.68%, see rank | 20.56% | 20.41% |
6 Rooms | 263, 9.06%, see rank | 16.99% | 18.06% |
7 Rooms | 269, 9.26%, see rank | 11.06% | 12.27% |
8 Rooms | 22, 0.76%, see rank | 6.58% | 8.48% |
9 Rooms or More | 40, 1.38%, see rank | 6.46% | 10.60% |
Median Rooms | 4.50, see rank | 5.10 | 5.50 |
ACS 2008-2012 data
| 92004 Zip Code | California | U.S. |
Total Housing Units | 2,684, 100% | 13,667,226 | 131,642,457 |
1 Room | 94, 3.50%, see rank | 3.17% | 1.95% |
2 Rooms | 94, 3.50%, see rank | 3.78% | 2.36% |
3 Rooms | 377, 14.05%, see rank | 11.88% | 8.97% |
4 Rooms | 832, 31.00%, see rank | 19.04% | 16.57% |
5 Rooms | 647, 24.11%, see rank | 20.50% | 20.41% |
6 Rooms | 394, 14.68%, see rank | 17.21% | 18.25% |
7 Rooms | 176, 6.56%, see rank | 11.27% | 12.38% |
8 Rooms | 33, 1.23%, see rank | 6.78% | 8.59% |
9 Rooms or More | 37, 1.38%, see rank | 6.38% | 10.52% |
Median Rooms | 4.40, see rank | 5.10 | 5.50 |
US Census 2000 data
| 92004 Zip Code | California | U.S. |
Total Housing Units | 2,519, 100% | 12,214,549 | 115,904,641 |
1 Room | 16, 0.64%, see rank | 5.01% | 2.20% |
2 Rooms | 186, 7.38%, see rank | 9.38% | 4.81% |
3 Rooms | 261, 10.36%, see rank | 13.85% | 9.84% |
4 Rooms | 609, 24.18%, see rank | 15.75% | 15.97% |
5 Rooms | 828, 32.87%, see rank | 18.95% | 20.89% |
6 Rooms | 387, 15.36%, see rank | 16.50% | 18.45% |
7 Rooms | 128, 5.08%, see rank | 10.33% | 12.06% |
8 Rooms | 81, 3.22%, see rank | 5.93% | 8.06% |
9 Rooms or More | 23, 0.91%, see rank | 4.31% | 7.70% |
Median Rooms | 4.70, 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.