48864 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 48864 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 10,101, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,131, 80.50%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 736, 7.29%, see rank | 8.85% | 9.59% |
| Public Transportation | 136, 1.35%, see rank | 1.41% | 5.06% |
| Walked | 234, 2.32%, see rank | 2.17% | 2.78% |
| Other Means | 155, 1.53%, see rank | 1.24% | 1.79% |
| Worked at Home | 709, 7.02%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 48864 Zip Code | 19.3 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 48864 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 9,478, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,837, 82.69%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 480, 5.06%, see rank | 9.03% | 10.03% |
| Public Transportation | 113, 1.19%, see rank | 1.34% | 4.98% |
| Walked | 254, 2.68%, see rank | 2.22% | 2.82% |
| Other Means | 137, 1.45%, see rank | 1.20% | 1.76% |
| Worked at Home | 657, 6.93%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 48864 Zip Code | 19.3 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 48864 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 10,622, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,355, 88.07%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 582, 5.48%, see rank | 9.70% | 12.19% |
| Public Transportation | 63, 0.59%, see rank | 1.33% | 4.73% |
| Walked | 153, 1.44%, see rank | 2.24% | 2.93% |
| Other Means | 34, 0.32%, see rank | 0.74% | 1.19% |
| Worked at Home | 435, 4.10%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 48864 Zip Code | 19.5 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.
