03827 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 03827 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,638, 100% | 676,708 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,350, 82.42%, see rank | 81.28% | 76.41% |
| Car, Truck, or Van—Carpooled | 130, 7.94%, see rank | 7.95% | 9.59% |
| Public Transportation | 11, 0.67%, see rank | 0.85% | 5.06% |
| Walked | 8, 0.49%, see rank | 2.92% | 2.78% |
| Other Means | 12, 0.73%, see rank | 1.22% | 1.79% |
| Worked at Home | 127, 7.75%, see rank | 5.79% | 4.37% |
Mean Travel Time to Work, see rank| 03827 Zip Code | 30.7 minutes |
| New Hampshire | 26.3 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 03827 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,618, 100% | 679,196 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,354, 83.68%, see rank | 81.40% | 76.14% |
| Car, Truck, or Van—Carpooled | 105, 6.49%, see rank | 8.02% | 10.03% |
| Public Transportation | 3, 0.19%, see rank | 0.79% | 4.98% |
| Walked | 13, 0.80%, see rank | 3.08% | 2.82% |
| Other Means | 9, 0.56%, see rank | 1.21% | 1.76% |
| Worked at Home | 134, 8.28%, see rank | 5.51% | 4.27% |
Mean Travel Time to Work, see rank| 03827 Zip Code | 30.2 minutes |
| New Hampshire | 26.0 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 03827 Zip Code | New Hampshire | U.S. |
| Workers 16 Years and Over | 1,413, 100% | 638,565 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,177, 83.30%, see rank | 81.75% | 75.70% |
| Car, Truck, or Van—Carpooled | 102, 7.22%, see rank | 9.83% | 12.19% |
| Public Transportation | 12, 0.85%, see rank | 0.73% | 4.73% |
| Walked | 20, 1.42%, see rank | 2.90% | 2.93% |
| Other Means | 6, 0.42%, see rank | 0.82% | 1.19% |
| Worked at Home | 96, 6.79%, see rank | 3.96% | 3.26% |
Mean Travel Time to Work, see rank| 03827 Zip Code | 30.0 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.
