48239 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 48239 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 16,108, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 13,745, 85.33%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,477, 9.17%, see rank | 8.85% | 9.59% |
| Public Transportation | 207, 1.29%, see rank | 1.41% | 5.06% |
| Walked | 150, 0.93%, see rank | 2.17% | 2.78% |
| Other Means | 190, 1.18%, see rank | 1.24% | 1.79% |
| Worked at Home | 339, 2.10%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 48239 Zip Code | 24.5 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 48239 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 16,440, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 14,190, 86.31%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,516, 9.22%, see rank | 9.03% | 10.03% |
| Public Transportation | 219, 1.33%, see rank | 1.34% | 4.98% |
| Walked | 213, 1.30%, see rank | 2.22% | 2.82% |
| Other Means | 147, 0.89%, see rank | 1.20% | 1.76% |
| Worked at Home | 155, 0.94%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 48239 Zip Code | 23.4 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 48239 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 17,922, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 15,923, 88.85%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,495, 8.34%, see rank | 9.70% | 12.19% |
| Public Transportation | 89, 0.50%, see rank | 1.33% | 4.73% |
| Walked | 159, 0.89%, see rank | 2.24% | 2.93% |
| Other Means | 53, 0.30%, see rank | 0.74% | 1.19% |
| Worked at Home | 203, 1.13%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 48239 Zip Code | 23.9 minutes |
| Michigan | 23.5 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.
