90275 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 90275 Zip Code | California | U.S. |
| Workers 16 Years and Over | 17,608, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,023, 79.64%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,522, 8.64%, see rank | 11.10% | 9.59% |
| Public Transportation | 233, 1.32%, see rank | 5.20% | 5.06% |
| Walked | 66, 0.37%, see rank | 2.73% | 2.78% |
| Other Means | 190, 1.08%, see rank | 2.45% | 1.79% |
| Worked at Home | 1,574, 8.94%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 90275 Zip Code | 32.5 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 90275 Zip Code | California | U.S. |
| Workers 16 Years and Over | 17,542, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,376, 81.95%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,524, 8.69%, see rank | 11.53% | 10.03% |
| Public Transportation | 250, 1.43%, see rank | 5.15% | 4.98% |
| Walked | 65, 0.37%, see rank | 2.76% | 2.82% |
| Other Means | 128, 0.73%, see rank | 2.36% | 1.76% |
| Worked at Home | 1,199, 6.84%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 90275 Zip Code | 32.5 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 90275 Zip Code | California | U.S. |
| Workers 16 Years and Over | 18,244, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 15,286, 83.79%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,352, 7.41%, see rank | 14.55% | 12.19% |
| Public Transportation | 181, 0.99%, see rank | 5.07% | 4.73% |
| Walked | 128, 0.70%, see rank | 2.85% | 2.93% |
| Other Means | 81, 0.44%, see rank | 1.87% | 1.19% |
| Worked at Home | 1,216, 6.67%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 90275 Zip Code | 33.4 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.
