48093 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 48093 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 10,219, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,059, 88.65%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 736, 7.20%, see rank | 8.85% | 9.59% |
| Public Transportation | 27, 0.26%, see rank | 1.41% | 5.06% |
| Walked | 120, 1.17%, see rank | 2.17% | 2.78% |
| Other Means | 17, 0.17%, see rank | 1.24% | 1.79% |
| Worked at Home | 260, 2.54%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 48093 Zip Code | 23.9 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 48093 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 10,372, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,975, 86.53%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,031, 9.94%, see rank | 9.03% | 10.03% |
| Public Transportation | 31, 0.30%, see rank | 1.34% | 4.98% |
| Walked | 59, 0.57%, see rank | 2.22% | 2.82% |
| Other Means | 20, 0.19%, see rank | 1.20% | 1.76% |
| Worked at Home | 256, 2.47%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 48093 Zip Code | 23.2 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 48093 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 21,521, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 19,551, 90.85%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,288, 5.98%, see rank | 9.70% | 12.19% |
| Public Transportation | 135, 0.63%, see rank | 1.33% | 4.73% |
| Walked | 227, 1.05%, see rank | 2.24% | 2.93% |
| Other Means | 56, 0.26%, see rank | 0.74% | 1.19% |
| Worked at Home | 264, 1.23%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 48093 Zip Code | 24.0 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.
