85712 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 85712 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 15,550, 100% | 2,720,076 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,510, 74.02%, see rank | 76.37% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,417, 9.11%, see rank | 11.29% | 9.59% |
| Public Transportation | 868, 5.58%, see rank | 2.02% | 5.06% |
| Walked | 395, 2.54%, see rank | 2.02% | 2.78% |
| Other Means | 637, 4.10%, see rank | 2.72% | 1.79% |
| Worked at Home | 723, 4.65%, see rank | 5.58% | 4.37% |
Mean Travel Time to Work, see rank| 85712 Zip Code | 21.5 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 85712 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 15,295, 100% | 2,694,999 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,349, 74.20%, see rank | 76.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,508, 9.86%, see rank | 11.84% | 10.03% |
| Public Transportation | 724, 4.73%, see rank | 1.96% | 4.98% |
| Walked | 420, 2.75%, see rank | 2.12% | 2.82% |
| Other Means | 622, 4.07%, see rank | 2.58% | 1.76% |
| Worked at Home | 672, 4.39%, see rank | 5.44% | 4.27% |
Mean Travel Time to Work, see rank| 85712 Zip Code | 21.2 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 85712 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 16,021, 100% | 2,210,395 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 11,576, 72.26%, see rank | 74.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,048, 12.78%, see rank | 15.40% | 12.19% |
| Public Transportation | 808, 5.04%, see rank | 1.86% | 4.73% |
| Walked | 583, 3.64%, see rank | 2.62% | 2.93% |
| Other Means | 475, 2.96%, see rank | 2.30% | 1.19% |
| Worked at Home | 531, 3.31%, see rank | 3.67% | 3.26% |
Mean Travel Time to Work, see rank| 85712 Zip Code | 21.2 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.
