01886 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 01886 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 11,433, 100% | 3,284,998 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,776, 85.51%, see rank | 71.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 649, 5.68%, see rank | 7.75% | 9.59% |
| Public Transportation | 215, 1.88%, see rank | 9.47% | 5.06% |
| Walked | 127, 1.11%, see rank | 4.74% | 2.78% |
| Other Means | 126, 1.10%, see rank | 1.63% | 1.79% |
| Worked at Home | 540, 4.72%, see rank | 4.44% | 4.37% |
Mean Travel Time to Work, see rank| 01886 Zip Code | 30.2 minutes |
| Massachusetts | 28.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 01886 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 10,821, 100% | 3,231,819 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 9,031, 83.46%, see rank | 72.19% | 76.14% |
| Car, Truck, or Van—Carpooled | 533, 4.93%, see rank | 8.13% | 10.03% |
| Public Transportation | 286, 2.64%, see rank | 9.15% | 4.98% |
| Walked | 122, 1.13%, see rank | 4.74% | 2.82% |
| Other Means | 126, 1.16%, see rank | 1.57% | 1.76% |
| Worked at Home | 723, 6.68%, see rank | 4.22% | 4.27% |
Mean Travel Time to Work, see rank| 01886 Zip Code | 30.1 minutes |
| Massachusetts | 28.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 01886 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 10,745, 100% | 3,102,837 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,457, 88.01%, see rank | 73.81% | 75.70% |
| Car, Truck, or Van—Carpooled | 570, 5.30%, see rank | 9.00% | 12.19% |
| Public Transportation | 125, 1.16%, see rank | 8.73% | 4.73% |
| Walked | 60, 0.56%, see rank | 4.34% | 2.93% |
| Other Means | 16, 0.15%, see rank | 0.99% | 1.19% |
| Worked at Home | 517, 4.81%, see rank | 3.14% | 3.26% |
Mean Travel Time to Work, see rank| 01886 Zip Code | 30.1 minutes |
| Massachusetts | 26.9 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.
