93234 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 93234 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,975, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,226, 62.08%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 438, 22.18%, see rank | 11.10% | 9.59% |
| Public Transportation | 90, 4.56%, see rank | 5.20% | 5.06% |
| Walked | 56, 2.84%, see rank | 2.73% | 2.78% |
| Other Means | 64, 3.24%, see rank | 2.45% | 1.79% |
| Worked at Home | 101, 5.11%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 93234 Zip Code | 30.5 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 93234 Zip Code | California | U.S. |
| Workers 16 Years and Over | 1,440, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 734, 50.97%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 359, 24.93%, see rank | 11.53% | 10.03% |
| Public Transportation | 91, 6.32%, see rank | 5.15% | 4.98% |
| Walked | 72, 5.00%, see rank | 2.76% | 2.82% |
| Other Means | 131, 9.10%, see rank | 2.36% | 1.76% |
| Worked at Home | 53, 3.68%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 93234 Zip Code | 27.6 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 93234 Zip Code | California | U.S. |
| Workers 16 Years and Over | 2,226, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 895, 40.21%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 794, 35.67%, see rank | 14.55% | 12.19% |
| Public Transportation | 306, 13.75%, see rank | 5.07% | 4.73% |
| Walked | 173, 7.77%, see rank | 2.85% | 2.93% |
| Other Means | 15, 0.67%, see rank | 1.87% | 1.19% |
| Worked at Home | 43, 1.93%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 93234 Zip Code | 24.2 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.
