85016 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 85016 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 17,178, 100% | 2,720,076 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,609, 73.40%, see rank | 76.37% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,554, 9.05%, see rank | 11.29% | 9.59% |
| Public Transportation | 917, 5.34%, see rank | 2.02% | 5.06% |
| Walked | 280, 1.63%, see rank | 2.02% | 2.78% |
| Other Means | 989, 5.76%, see rank | 2.72% | 1.79% |
| Worked at Home | 829, 4.83%, see rank | 5.58% | 4.37% |
Mean Travel Time to Work, see rank| 85016 Zip Code | 20.2 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 85016 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 16,279, 100% | 2,694,999 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,131, 74.52%, see rank | 76.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,452, 8.92%, see rank | 11.84% | 10.03% |
| Public Transportation | 846, 5.20%, see rank | 1.96% | 4.98% |
| Walked | 310, 1.90%, see rank | 2.12% | 2.82% |
| Other Means | 810, 4.98%, see rank | 2.58% | 1.76% |
| Worked at Home | 730, 4.48%, see rank | 5.44% | 4.27% |
Mean Travel Time to Work, see rank| 85016 Zip Code | 20.6 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 85016 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 18,415, 100% | 2,210,395 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,935, 70.24%, see rank | 74.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,785, 15.12%, see rank | 15.40% | 12.19% |
| Public Transportation | 963, 5.23%, see rank | 1.86% | 4.73% |
| Walked | 685, 3.72%, see rank | 2.62% | 2.93% |
| Other Means | 365, 1.98%, see rank | 2.30% | 1.19% |
| Worked at Home | 682, 3.70%, see rank | 3.67% | 3.26% |
Mean Travel Time to Work, see rank| 85016 Zip Code | 20.8 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.
