92363 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 92363 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,964, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,588, 80.86%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 160, 8.15%, see rank | 11.10% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.20% | 5.06% |
| Walked | 137, 6.98%, see rank | 2.73% | 2.78% |
| Other Means | 26, 1.32%, see rank | 2.45% | 1.79% |
| Worked at Home | 53, 2.70%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 92363 Zip Code | 22.3 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 92363 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,903, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,415, 74.36%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 154, 8.09%, see rank | 11.53% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 5.15% | 4.98% |
| Walked | 265, 13.93%, see rank | 2.76% | 2.82% |
| Other Means | 0, 0.00%, see rank | 2.36% | 1.76% |
| Worked at Home | 69, 3.63%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 92363 Zip Code | 21.0 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 92363 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,880, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,260, 67.02%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 282, 15.00%, see rank | 14.55% | 12.19% |
| Public Transportation | 19, 1.01%, see rank | 5.07% | 4.73% |
| Walked | 146, 7.77%, see rank | 2.85% | 2.93% |
| Other Means | 61, 3.24%, see rank | 1.87% | 1.19% |
| Worked at Home | 112, 5.96%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 92363 Zip Code | 15.9 minutes |
| California | 27.4 minutes |
| U.S. | 25.1 minutes |
* 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.
