91775 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 91775 Zip Code | California | U.S. |
| Workers 16 Years and Over | 12,234, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,590, 78.39%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,425, 11.65%, see rank | 11.10% | 9.59% |
| Public Transportation | 386, 3.16%, see rank | 5.20% | 5.06% |
| Walked | 146, 1.19%, see rank | 2.73% | 2.78% |
| Other Means | 180, 1.47%, see rank | 2.45% | 1.79% |
| Worked at Home | 507, 4.14%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 91775 Zip Code | 32.5 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 91775 Zip Code | California | U.S. |
| Workers 16 Years and Over | 12,466, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,145, 73.36%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,622, 13.01%, see rank | 11.53% | 10.03% |
| Public Transportation | 722, 5.79%, see rank | 5.15% | 4.98% |
| Walked | 194, 1.56%, see rank | 2.76% | 2.82% |
| Other Means | 182, 1.46%, see rank | 2.36% | 1.76% |
| Worked at Home | 601, 4.82%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 91775 Zip Code | 30.1 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 91775 Zip Code | California | U.S. |
| Workers 16 Years and Over | 10,744, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,505, 79.16%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,477, 13.75%, see rank | 14.55% | 12.19% |
| Public Transportation | 208, 1.94%, see rank | 5.07% | 4.73% |
| Walked | 159, 1.48%, see rank | 2.85% | 2.93% |
| Other Means | 55, 0.51%, see rank | 1.87% | 1.19% |
| Worked at Home | 340, 3.16%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 91775 Zip Code | 29.8 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.
