91377 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 91377 Zip Code | California | U.S. |
| Workers 16 Years and Over | 6,614, 100% | 16,529,777 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,503, 83.20%, see rank | 73.25% | 76.41% |
| Car, Truck, or Van—Carpooled | 402, 6.08%, see rank | 11.10% | 9.59% |
| Public Transportation | 13, 0.20%, see rank | 5.20% | 5.06% |
| Walked | 22, 0.33%, see rank | 2.73% | 2.78% |
| Other Means | 50, 0.76%, see rank | 2.45% | 1.79% |
| Worked at Home | 624, 9.43%, see rank | 5.27% | 4.37% |
Mean Travel Time to Work, see rank| 91377 Zip Code | 29.6 minutes |
| California | 27.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 91377 Zip Code | California | U.S. |
| Workers 16 Years and Over | 6,989, 100% | 16,282,943 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,840, 83.56%, see rank | 73.05% | 76.14% |
| Car, Truck, or Van—Carpooled | 349, 4.99%, see rank | 11.53% | 10.03% |
| Public Transportation | 25, 0.36%, see rank | 5.15% | 4.98% |
| Walked | 43, 0.62%, see rank | 2.76% | 2.82% |
| Other Means | 44, 0.63%, see rank | 2.36% | 1.76% |
| Worked at Home | 688, 9.84%, see rank | 5.15% | 4.27% |
Mean Travel Time to Work, see rank| 91377 Zip Code | 26.4 minutes |
| California | 27.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 91377 Zip Code | California | U.S. |
| Workers 16 Years and Over | 7,269, 100% | 14,525,322 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,239, 85.83%, see rank | 71.82% | 75.70% |
| Car, Truck, or Van—Carpooled | 470, 6.47%, see rank | 14.55% | 12.19% |
| Public Transportation | 44, 0.61%, see rank | 5.07% | 4.73% |
| Walked | 33, 0.45%, see rank | 2.85% | 2.93% |
| Other Means | 39, 0.54%, see rank | 1.87% | 1.19% |
| Worked at Home | 444, 6.11%, see rank | 3.83% | 3.26% |
Mean Travel Time to Work, see rank| 91377 Zip Code | 32.2 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.
