48532 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 48532 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 7,927, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,201, 78.23%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,366, 17.23%, see rank | 8.85% | 9.59% |
| Public Transportation | 137, 1.73%, see rank | 1.41% | 5.06% |
| Walked | 52, 0.66%, see rank | 2.17% | 2.78% |
| Other Means | 24, 0.30%, see rank | 1.24% | 1.79% |
| Worked at Home | 147, 1.85%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 48532 Zip Code | 22.2 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 48532 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 7,896, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,125, 77.57%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,382, 17.50%, see rank | 9.03% | 10.03% |
| Public Transportation | 46, 0.58%, see rank | 1.34% | 4.98% |
| Walked | 94, 1.19%, see rank | 2.22% | 2.82% |
| Other Means | 75, 0.95%, see rank | 1.20% | 1.76% |
| Worked at Home | 174, 2.20%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 48532 Zip Code | 22.2 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 48532 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 8,765, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,639, 87.15%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 656, 7.48%, see rank | 9.70% | 12.19% |
| Public Transportation | 70, 0.80%, see rank | 1.33% | 4.73% |
| Walked | 94, 1.07%, see rank | 2.24% | 2.93% |
| Other Means | 26, 0.30%, see rank | 0.74% | 1.19% |
| Worked at Home | 280, 3.19%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 48532 Zip Code | 21.4 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.
