48317 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 48317 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 12,862, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 11,384, 88.51%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 966, 7.51%, see rank | 8.85% | 9.59% |
| Public Transportation | 30, 0.23%, see rank | 1.41% | 5.06% |
| Walked | 68, 0.53%, see rank | 2.17% | 2.78% |
| Other Means | 32, 0.25%, see rank | 1.24% | 1.79% |
| Worked at Home | 382, 2.97%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 48317 Zip Code | 27.0 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 48317 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 12,523, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,039, 88.15%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,052, 8.40%, see rank | 9.03% | 10.03% |
| Public Transportation | 23, 0.18%, see rank | 1.34% | 4.98% |
| Walked | 83, 0.66%, see rank | 2.22% | 2.82% |
| Other Means | 64, 0.51%, see rank | 1.20% | 1.76% |
| Worked at Home | 262, 2.09%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 48317 Zip Code | 26.6 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 48317 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 13,926, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,391, 88.98%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,079, 7.75%, see rank | 9.70% | 12.19% |
| Public Transportation | 45, 0.32%, see rank | 1.33% | 4.73% |
| Walked | 154, 1.11%, see rank | 2.24% | 2.93% |
| Other Means | 111, 0.80%, see rank | 0.74% | 1.19% |
| Worked at Home | 146, 1.05%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 48317 Zip Code | 25.5 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.
