49022 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 49022 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 10,887, 100% | 4,199,791 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,749, 80.36%, see rank | 82.68% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,145, 10.52%, see rank | 8.85% | 9.59% |
| Public Transportation | 132, 1.21%, see rank | 1.41% | 5.06% |
| Walked | 223, 2.05%, see rank | 2.17% | 2.78% |
| Other Means | 198, 1.82%, see rank | 1.24% | 1.79% |
| Worked at Home | 440, 4.04%, see rank | 3.64% | 4.37% |
Mean Travel Time to Work, see rank| 49022 Zip Code | 17.3 minutes |
| Michigan | 23.9 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 49022 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 10,788, 100% | 4,171,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,822, 81.78%, see rank | 82.66% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,020, 9.45%, see rank | 9.03% | 10.03% |
| Public Transportation | 83, 0.77%, see rank | 1.34% | 4.98% |
| Walked | 183, 1.70%, see rank | 2.22% | 2.82% |
| Other Means | 166, 1.54%, see rank | 1.20% | 1.76% |
| Worked at Home | 514, 4.76%, see rank | 3.55% | 4.27% |
Mean Travel Time to Work, see rank| 49022 Zip Code | 16.3 minutes |
| Michigan | 23.6 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 49022 Zip Code | Michigan | U.S. |
| Workers 16 Years and Over | 13,168, 100% | 4,540,372 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,940, 75.49%, see rank | 83.18% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,136, 16.22%, see rank | 9.70% | 12.19% |
| Public Transportation | 207, 1.57%, see rank | 1.33% | 4.73% |
| Walked | 302, 2.29%, see rank | 2.24% | 2.93% |
| Other Means | 183, 1.39%, see rank | 0.74% | 1.19% |
| Worked at Home | 400, 3.04%, see rank | 2.81% | 3.26% |
Mean Travel Time to Work, see rank| 49022 Zip Code | 17.1 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.
