49085 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 49085 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 11,265, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,913, 88.00%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 637, 5.65%, see rank | 8.85% | 9.59% |
| Public Transportation | 22, 0.20%, see rank | 1.41% | 5.06% |
| Walked | 173, 1.54%, see rank | 2.17% | 2.78% |
| Other Means | 68, 0.60%, see rank | 1.24% | 1.79% |
| Worked at Home | 452, 4.01%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 49085 Zip Code | 14.8 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 49085 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 11,876, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,486, 88.30%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 685, 5.77%, see rank | 9.03% | 10.03% |
| Public Transportation | 11, 0.09%, see rank | 1.34% | 4.98% |
| Walked | 189, 1.59%, see rank | 2.22% | 2.82% |
| Other Means | 75, 0.63%, see rank | 1.20% | 1.76% |
| Worked at Home | 430, 3.62%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 49085 Zip Code | 15.8 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 49085 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 11,888, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,459, 87.98%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 720, 6.06%, see rank | 9.70% | 12.19% |
| Public Transportation | 52, 0.44%, see rank | 1.33% | 4.73% |
| Walked | 236, 1.99%, see rank | 2.24% | 2.93% |
| Other Means | 71, 0.60%, see rank | 0.74% | 1.19% |
| Worked at Home | 350, 2.94%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 49085 Zip Code | 15.9 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.
