85323 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 85323 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 16,330, 100% | 2,720,076 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,807, 78.43%, see rank | 76.37% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,534, 15.52%, see rank | 11.29% | 9.59% |
| Public Transportation | 100, 0.61%, see rank | 2.02% | 5.06% |
| Walked | 230, 1.41%, see rank | 2.02% | 2.78% |
| Other Means | 279, 1.71%, see rank | 2.72% | 1.79% |
| Worked at Home | 380, 2.33%, see rank | 5.58% | 4.37% |
Mean Travel Time to Work, see rank| 85323 Zip Code | 24.8 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 85323 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 15,587, 100% | 2,694,999 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,489, 80.12%, see rank | 76.07% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,030, 13.02%, see rank | 11.84% | 10.03% |
| Public Transportation | 90, 0.58%, see rank | 1.96% | 4.98% |
| Walked | 238, 1.53%, see rank | 2.12% | 2.82% |
| Other Means | 308, 1.98%, see rank | 2.58% | 1.76% |
| Worked at Home | 432, 2.77%, see rank | 5.44% | 4.27% |
Mean Travel Time to Work, see rank| 85323 Zip Code | 24.2 minutes |
| Arizona | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 85323 Zip Code | Arizona | U.S. |
| Workers 16 Years and Over | 14,840, 100% | 2,210,395 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,752, 72.45%, see rank | 74.14% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,072, 20.70%, see rank | 15.40% | 12.19% |
| Public Transportation | 61, 0.41%, see rank | 1.86% | 4.73% |
| Walked | 329, 2.22%, see rank | 2.62% | 2.93% |
| Other Means | 325, 2.19%, see rank | 2.30% | 1.19% |
| Worked at Home | 301, 2.03%, see rank | 3.67% | 3.26% |
Mean Travel Time to Work, see rank| 85323 Zip Code | 27.0 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.
