49120 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 49120 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 15,195, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,967, 85.34%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,285, 8.46%, see rank | 8.85% | 9.59% |
| Public Transportation | 59, 0.39%, see rank | 1.41% | 5.06% |
| Walked | 254, 1.67%, see rank | 2.17% | 2.78% |
| Other Means | 163, 1.07%, see rank | 1.24% | 1.79% |
| Worked at Home | 467, 3.07%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 49120 Zip Code | 21.9 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 49120 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 15,719, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 13,347, 84.91%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,487, 9.46%, see rank | 9.03% | 10.03% |
| Public Transportation | 36, 0.23%, see rank | 1.34% | 4.98% |
| Walked | 242, 1.54%, see rank | 2.22% | 2.82% |
| Other Means | 163, 1.04%, see rank | 1.20% | 1.76% |
| Worked at Home | 444, 2.82%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 49120 Zip Code | 21.4 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 49120 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 16,816, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 14,257, 84.78%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,781, 10.59%, see rank | 9.70% | 12.19% |
| Public Transportation | 43, 0.26%, see rank | 1.33% | 4.73% |
| Walked | 223, 1.33%, see rank | 2.24% | 2.93% |
| Other Means | 100, 0.59%, see rank | 0.74% | 1.19% |
| Worked at Home | 412, 2.45%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 49120 Zip Code | 21.0 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.
