02575 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02575 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 1,414, 100% | 3,284,998 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 907, 64.14%, see rank | 71.97% | 76.41% |
| Car, Truck, or Van—Carpooled | 57, 4.03%, see rank | 7.75% | 9.59% |
| Public Transportation | 94, 6.65%, see rank | 9.47% | 5.06% |
| Walked | 57, 4.03%, see rank | 4.74% | 2.78% |
| Other Means | 40, 2.83%, see rank | 1.63% | 1.79% |
| Worked at Home | 259, 18.32%, see rank | 4.44% | 4.37% |
Mean Travel Time to Work, see rank| 02575 Zip Code | 16.9 minutes |
| Massachusetts | 28.8 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02575 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 1,343, 100% | 3,231,819 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 891, 66.34%, see rank | 72.19% | 76.14% |
| Car, Truck, or Van—Carpooled | 55, 4.10%, see rank | 8.13% | 10.03% |
| Public Transportation | 41, 3.05%, see rank | 9.15% | 4.98% |
| Walked | 8, 0.60%, see rank | 4.74% | 2.82% |
| Other Means | 34, 2.53%, see rank | 1.57% | 1.76% |
| Worked at Home | 314, 23.38%, see rank | 4.22% | 4.27% |
Mean Travel Time to Work, see rank| 02575 Zip Code | 17.3 minutes |
| Massachusetts | 28.1 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02575 Zip Code | Massachusetts | U.S. |
| Workers 16 Years and Over | 247, 100% | 3,102,837 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 133, 53.85%, see rank | 73.81% | 75.70% |
| Car, Truck, or Van—Carpooled | 24, 9.72%, see rank | 9.00% | 12.19% |
| Public Transportation | 5, 2.02%, see rank | 8.73% | 4.73% |
| Walked | 5, 2.02%, see rank | 4.34% | 2.93% |
| Other Means | 0, 0.00%, see rank | 0.99% | 1.19% |
| Worked at Home | 80, 32.39%, see rank | 3.14% | 3.26% |
Mean Travel Time to Work, see rank| 02575 Zip Code | 14.0 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.
