85741 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 85741 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 17,305, 100% | 2,720,076 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 14,369, 83.03%, see rank | 76.37% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,279, 7.39%, see rank | 11.29% | 9.59% |
| Public Transportation | 286, 1.65%, see rank | 2.02% | 5.06% |
| Walked | 336, 1.94%, see rank | 2.02% | 2.78% |
| Other Means | 303, 1.75%, see rank | 2.72% | 1.79% |
| Worked at Home | 732, 4.23%, see rank | 5.58% | 4.37% |
Mean Travel Time to Work, see rank| 85741 Zip Code | 22.7 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 85741 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 17,601, 100% | 2,694,999 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,759, 83.85%, see rank | 76.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,183, 6.72%, see rank | 11.84% | 10.03% |
| Public Transportation | 356, 2.02%, see rank | 1.96% | 4.98% |
| Walked | 319, 1.81%, see rank | 2.12% | 2.82% |
| Other Means | 351, 1.99%, see rank | 2.58% | 1.76% |
| Worked at Home | 633, 3.60%, see rank | 5.44% | 4.27% |
Mean Travel Time to Work, see rank| 85741 Zip Code | 23.6 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 85741 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 16,703, 100% | 2,210,395 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 13,446, 80.50%, see rank | 74.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,304, 13.79%, see rank | 15.40% | 12.19% |
| Public Transportation | 163, 0.98%, see rank | 1.86% | 4.73% |
| Walked | 146, 0.87%, see rank | 2.62% | 2.93% |
| Other Means | 255, 1.53%, see rank | 2.30% | 1.19% |
| Worked at Home | 389, 2.33%, see rank | 3.67% | 3.26% |
Mean Travel Time to Work, see rank| 85741 Zip Code | 25.6 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.
