93286 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 93286 Zip Code | California | U.S. |
| Workers 16 Years and Over | 3,677, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,872, 78.11%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 567, 15.42%, see rank | 11.10% | 9.59% |
| Public Transportation | 19, 0.52%, see rank | 5.20% | 5.06% |
| Walked | 49, 1.33%, see rank | 2.73% | 2.78% |
| Other Means | 73, 1.99%, see rank | 2.45% | 1.79% |
| Worked at Home | 97, 2.64%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 93286 Zip Code | 23.7 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 93286 Zip Code | California | U.S. |
| Workers 16 Years and Over | 3,569, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,558, 71.67%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 741, 20.76%, see rank | 11.53% | 10.03% |
| Public Transportation | 13, 0.36%, see rank | 5.15% | 4.98% |
| Walked | 85, 2.38%, see rank | 2.76% | 2.82% |
| Other Means | 98, 2.75%, see rank | 2.36% | 1.76% |
| Worked at Home | 74, 2.07%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 93286 Zip Code | 23.1 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 93286 Zip Code | California | U.S. |
| Workers 16 Years and Over | 2,995, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,962, 65.51%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 758, 25.31%, see rank | 14.55% | 12.19% |
| Public Transportation | 5, 0.17%, see rank | 5.07% | 4.73% |
| Walked | 81, 2.70%, see rank | 2.85% | 2.93% |
| Other Means | 57, 1.90%, see rank | 1.87% | 1.19% |
| Worked at Home | 132, 4.41%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 93286 Zip Code | 23.6 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.
