48092 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 48092 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 11,859, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,254, 86.47%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,154, 9.73%, see rank | 8.85% | 9.59% |
| Public Transportation | 30, 0.25%, see rank | 1.41% | 5.06% |
| Walked | 86, 0.73%, see rank | 2.17% | 2.78% |
| Other Means | 112, 0.94%, see rank | 1.24% | 1.79% |
| Worked at Home | 223, 1.88%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 48092 Zip Code | 22.2 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 48092 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 11,649, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,001, 85.85%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,079, 9.26%, see rank | 9.03% | 10.03% |
| Public Transportation | 38, 0.33%, see rank | 1.34% | 4.98% |
| Walked | 119, 1.02%, see rank | 2.22% | 2.82% |
| Other Means | 110, 0.94%, see rank | 1.20% | 1.76% |
| Worked at Home | 302, 2.59%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 48092 Zip Code | 21.8 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 48092 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 11,990, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,542, 87.92%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,064, 8.87%, see rank | 9.70% | 12.19% |
| Public Transportation | 32, 0.27%, see rank | 1.33% | 4.73% |
| Walked | 103, 0.86%, see rank | 2.24% | 2.93% |
| Other Means | 50, 0.42%, see rank | 0.74% | 1.19% |
| Worked at Home | 199, 1.66%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 48092 Zip Code | 22.7 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.
