48185 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 48185 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 22,725, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 20,096, 88.43%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,535, 6.75%, see rank | 8.85% | 9.59% |
| Public Transportation | 96, 0.42%, see rank | 1.41% | 5.06% |
| Walked | 405, 1.78%, see rank | 2.17% | 2.78% |
| Other Means | 176, 0.77%, see rank | 1.24% | 1.79% |
| Worked at Home | 417, 1.83%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 48185 Zip Code | 24.8 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 48185 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 22,169, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 19,350, 87.28%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,491, 6.73%, see rank | 9.03% | 10.03% |
| Public Transportation | 151, 0.68%, see rank | 1.34% | 4.98% |
| Walked | 507, 2.29%, see rank | 2.22% | 2.82% |
| Other Means | 180, 0.81%, see rank | 1.20% | 1.76% |
| Worked at Home | 490, 2.21%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 48185 Zip Code | 23.9 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 48185 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 24,738, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 21,694, 87.70%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,187, 8.84%, see rank | 9.70% | 12.19% |
| Public Transportation | 115, 0.46%, see rank | 1.33% | 4.73% |
| Walked | 335, 1.35%, see rank | 2.24% | 2.93% |
| Other Means | 102, 0.41%, see rank | 0.74% | 1.19% |
| Worked at Home | 305, 1.23%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 48185 Zip Code | 23.8 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.
