03869 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 03869 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,281, 100% | 676,708 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,137, 88.76%, see rank | 81.28% | 76.41% |
| Car, Truck, or Van—Carpooled | 82, 6.40%, see rank | 7.95% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 0.85% | 5.06% |
| Walked | 30, 2.34%, see rank | 2.92% | 2.78% |
| Other Means | 5, 0.39%, see rank | 1.22% | 1.79% |
| Worked at Home | 27, 2.11%, see rank | 5.79% | 4.37% |
Mean Travel Time to Work, see rank| 03869 Zip Code | 23.7 minutes |
| New Hampshire | 26.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 03869 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,372, 100% | 679,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,128, 82.22%, see rank | 81.40% | 76.14% |
| Car, Truck, or Van—Carpooled | 141, 10.28%, see rank | 8.02% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 0.79% | 4.98% |
| Walked | 43, 3.13%, see rank | 3.08% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.21% | 1.76% |
| Worked at Home | 60, 4.37%, see rank | 5.51% | 4.27% |
Mean Travel Time to Work, see rank| 03869 Zip Code | 21.2 minutes |
| New Hampshire | 26.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 03869 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,360, 100% | 638,565 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,167, 85.81%, see rank | 81.75% | 75.70% |
| Car, Truck, or Van—Carpooled | 126, 9.26%, see rank | 9.83% | 12.19% |
| Public Transportation | 4, 0.29%, see rank | 0.73% | 4.73% |
| Walked | 17, 1.25%, see rank | 2.90% | 2.93% |
| Other Means | 0, 0.00%, see rank | 0.82% | 1.19% |
| Worked at Home | 46, 3.38%, see rank | 3.96% | 3.26% |
Mean Travel Time to Work, see rank| 03869 Zip Code | 23.3 minutes |
| New Hampshire | 24.9 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.
