01378 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 01378 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 355, 100% | 3,284,998 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 312, 87.89%, see rank | 71.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 22, 6.20%, see rank | 7.75% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 9.47% | 5.06% |
| Walked | 2, 0.56%, see rank | 4.74% | 2.78% |
| Other Means | 2, 0.56%, see rank | 1.63% | 1.79% |
| Worked at Home | 17, 4.79%, see rank | 4.44% | 4.37% |
Mean Travel Time to Work, see rank| 01378 Zip Code | 34.3 minutes |
| Massachusetts | 28.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 01378 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 367, 100% | 3,231,819 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 299, 81.47%, see rank | 72.19% | 76.14% |
| Car, Truck, or Van—Carpooled | 48, 13.08%, see rank | 8.13% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 9.15% | 4.98% |
| Walked | 2, 0.54%, see rank | 4.74% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.57% | 1.76% |
| Worked at Home | 18, 4.90%, see rank | 4.22% | 4.27% |
Mean Travel Time to Work, see rank| 01378 Zip Code | 34.7 minutes |
| Massachusetts | 28.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 01378 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 350, 100% | 3,102,837 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 249, 71.14%, see rank | 73.81% | 75.70% |
| Car, Truck, or Van—Carpooled | 57, 16.29%, see rank | 9.00% | 12.19% |
| Public Transportation | 0, 0.00%, see rank | 8.73% | 4.73% |
| Walked | 11, 3.14%, see rank | 4.34% | 2.93% |
| Other Means | 0, 0.00%, see rank | 0.99% | 1.19% |
| Worked at Home | 33, 9.43%, see rank | 3.14% | 3.26% |
Mean Travel Time to Work, see rank| 01378 Zip Code | 27.7 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.
