92582 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 92582 Zip Code | California | U.S. |
| Workers 16 Years and Over | 5,656, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 4,834, 85.47%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 479, 8.47%, see rank | 11.10% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.20% | 5.06% |
| Walked | 94, 1.66%, see rank | 2.73% | 2.78% |
| Other Means | 10, 0.18%, see rank | 2.45% | 1.79% |
| Worked at Home | 239, 4.23%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 92582 Zip Code | 40.5 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 92582 Zip Code | California | U.S. |
| Workers 16 Years and Over | 5,313, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,285, 80.65%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 782, 14.72%, see rank | 11.53% | 10.03% |
| Public Transportation | 63, 1.19%, see rank | 5.15% | 4.98% |
| Walked | 84, 1.58%, see rank | 2.76% | 2.82% |
| Other Means | 3, 0.06%, see rank | 2.36% | 1.76% |
| Worked at Home | 96, 1.81%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 92582 Zip Code | 44.1 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 92582 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,462, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,065, 72.85%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 280, 19.15%, see rank | 14.55% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 5.07% | 4.73% |
| Walked | 43, 2.94%, see rank | 2.85% | 2.93% |
| Other Means | 32, 2.19%, see rank | 1.87% | 1.19% |
| Worked at Home | 42, 2.87%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 92582 Zip Code | 29.3 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.
