90670 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 90670 Zip Code | California | U.S. |
| Workers 16 Years and Over | 6,300, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,304, 84.19%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 687, 10.90%, see rank | 11.10% | 9.59% |
| Public Transportation | 199, 3.16%, see rank | 5.20% | 5.06% |
| Walked | 1, 0.02%, see rank | 2.73% | 2.78% |
| Other Means | 23, 0.37%, see rank | 2.45% | 1.79% |
| Worked at Home | 86, 1.37%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 90670 Zip Code | 27.9 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 90670 Zip Code | California | U.S. |
| Workers 16 Years and Over | 6,020, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,132, 85.25%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 529, 8.79%, see rank | 11.53% | 10.03% |
| Public Transportation | 252, 4.19%, see rank | 5.15% | 4.98% |
| Walked | 1, 0.02%, see rank | 2.76% | 2.82% |
| Other Means | 27, 0.45%, see rank | 2.36% | 1.76% |
| Worked at Home | 79, 1.31%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 90670 Zip Code | 28.6 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 90670 Zip Code | California | U.S. |
| Workers 16 Years and Over | 5,774, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,463, 77.29%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 887, 15.36%, see rank | 14.55% | 12.19% |
| Public Transportation | 116, 2.01%, see rank | 5.07% | 4.73% |
| Walked | 117, 2.03%, see rank | 2.85% | 2.93% |
| Other Means | 101, 1.75%, see rank | 1.87% | 1.19% |
| Worked at Home | 90, 1.56%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 90670 Zip Code | 27.1 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.
