85711 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 85711 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 16,604, 100% | 2,720,076 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,553, 75.60%, see rank | 76.37% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,579, 9.51%, see rank | 11.29% | 9.59% |
| Public Transportation | 757, 4.56%, see rank | 2.02% | 5.06% |
| Walked | 509, 3.07%, see rank | 2.02% | 2.78% |
| Other Means | 538, 3.24%, see rank | 2.72% | 1.79% |
| Worked at Home | 668, 4.02%, see rank | 5.58% | 4.37% |
Mean Travel Time to Work, see rank| 85711 Zip Code | 20.4 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 85711 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 18,110, 100% | 2,694,999 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,941, 71.46%, see rank | 76.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,031, 11.21%, see rank | 11.84% | 10.03% |
| Public Transportation | 928, 5.12%, see rank | 1.96% | 4.98% |
| Walked | 623, 3.44%, see rank | 2.12% | 2.82% |
| Other Means | 888, 4.90%, see rank | 2.58% | 1.76% |
| Worked at Home | 699, 3.86%, see rank | 5.44% | 4.27% |
Mean Travel Time to Work, see rank| 85711 Zip Code | 20.0 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 85711 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 19,965, 100% | 2,210,395 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,066, 70.45%, see rank | 74.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,375, 16.90%, see rank | 15.40% | 12.19% |
| Public Transportation | 755, 3.78%, see rank | 1.86% | 4.73% |
| Walked | 590, 2.96%, see rank | 2.62% | 2.93% |
| Other Means | 520, 2.60%, see rank | 2.30% | 1.19% |
| Worked at Home | 659, 3.30%, see rank | 3.67% | 3.26% |
Mean Travel Time to Work, see rank| 85711 Zip Code | 19.7 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.
