85086 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 85086 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 18,156, 100% | 2,720,076 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,538, 74.56%, see rank | 76.37% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,680, 9.25%, see rank | 11.29% | 9.59% |
| Public Transportation | 63, 0.35%, see rank | 2.02% | 5.06% |
| Walked | 181, 1.00%, see rank | 2.02% | 2.78% |
| Other Means | 179, 0.99%, see rank | 2.72% | 1.79% |
| Worked at Home | 2,515, 13.85%, see rank | 5.58% | 4.37% |
Mean Travel Time to Work, see rank| 85086 Zip Code | 31.4 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 85086 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 17,571, 100% | 2,694,999 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 13,256, 75.44%, see rank | 76.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,498, 8.53%, see rank | 11.84% | 10.03% |
| Public Transportation | 26, 0.15%, see rank | 1.96% | 4.98% |
| Walked | 180, 1.02%, see rank | 2.12% | 2.82% |
| Other Means | 246, 1.40%, see rank | 2.58% | 1.76% |
| Worked at Home | 2,365, 13.46%, see rank | 5.44% | 4.27% |
Mean Travel Time to Work, see rank| 85086 Zip Code | 31.0 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 85086 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 3,808, 100% | 2,210,395 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,877, 75.55%, see rank | 74.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 452, 11.87%, see rank | 15.40% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 1.86% | 4.73% |
| Walked | 33, 0.87%, see rank | 2.62% | 2.93% |
| Other Means | 65, 1.71%, see rank | 2.30% | 1.19% |
| Worked at Home | 381, 10.01%, see rank | 3.67% | 3.26% |
Mean Travel Time to Work, see rank| 85086 Zip Code | 38.2 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.
