85353 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 85353 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 13,746, 100% | 2,720,076 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,976, 79.85%, see rank | 76.37% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,080, 15.13%, see rank | 11.29% | 9.59% |
| Public Transportation | 187, 1.36%, see rank | 2.02% | 5.06% |
| Walked | 133, 0.97%, see rank | 2.02% | 2.78% |
| Other Means | 126, 0.92%, see rank | 2.72% | 1.79% |
| Worked at Home | 244, 1.78%, see rank | 5.58% | 4.37% |
Mean Travel Time to Work, see rank| 85353 Zip Code | 29.5 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 85353 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 13,269, 100% | 2,694,999 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,728, 80.85%, see rank | 76.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,025, 15.26%, see rank | 11.84% | 10.03% |
| Public Transportation | 122, 0.92%, see rank | 1.96% | 4.98% |
| Walked | 136, 1.02%, see rank | 2.12% | 2.82% |
| Other Means | 39, 0.29%, see rank | 2.58% | 1.76% |
| Worked at Home | 219, 1.65%, see rank | 5.44% | 4.27% |
Mean Travel Time to Work, see rank| 85353 Zip Code | 29.3 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 85353 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 3,159, 100% | 2,210,395 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,252, 71.29%, see rank | 74.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 590, 18.68%, see rank | 15.40% | 12.19% |
| Public Transportation | 14, 0.44%, see rank | 1.86% | 4.73% |
| Walked | 147, 4.65%, see rank | 2.62% | 2.93% |
| Other Means | 34, 1.08%, see rank | 2.30% | 1.19% |
| Worked at Home | 122, 3.86%, see rank | 3.67% | 3.26% |
Mean Travel Time to Work, see rank| 85353 Zip Code | 23.8 minutes |
| Arizona | 24.4 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.
