06759 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 06759 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 2,861, 100% | 1,734,798 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,170, 75.85%, see rank | 78.65% | 76.41% |
| Car, Truck, or Van—Carpooled | 133, 4.65%, see rank | 8.19% | 9.59% |
| Public Transportation | 34, 1.19%, see rank | 4.70% | 5.06% |
| Walked | 206, 7.20%, see rank | 3.04% | 2.78% |
| Other Means | 39, 1.36%, see rank | 1.18% | 1.79% |
| Worked at Home | 279, 9.75%, see rank | 4.23% | 4.37% |
Mean Travel Time to Work, see rank| 06759 Zip Code | 22.6 minutes |
| Connecticut | 25.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 06759 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 2,973, 100% | 1,730,076 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,351, 79.08%, see rank | 78.74% | 76.14% |
| Car, Truck, or Van—Carpooled | 158, 5.31%, see rank | 8.48% | 10.03% |
| Public Transportation | 27, 0.91%, see rank | 4.55% | 4.98% |
| Walked | 179, 6.02%, see rank | 2.94% | 2.82% |
| Other Means | 33, 1.11%, see rank | 1.19% | 1.76% |
| Worked at Home | 225, 7.57%, see rank | 4.09% | 4.27% |
Mean Travel Time to Work, see rank| 06759 Zip Code | 22.7 minutes |
| Connecticut | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 06759 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 2,831, 100% | 1,640,823 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,340, 82.66%, see rank | 80.00% | 75.70% |
| Car, Truck, or Van—Carpooled | 107, 3.78%, see rank | 9.41% | 12.19% |
| Public Transportation | 16, 0.57%, see rank | 4.01% | 4.73% |
| Walked | 86, 3.04%, see rank | 2.70% | 2.93% |
| Other Means | 21, 0.74%, see rank | 0.74% | 1.19% |
| Worked at Home | 261, 9.22%, see rank | 3.13% | 3.26% |
Mean Travel Time to Work, see rank| 06759 Zip Code | 26.4 minutes |
| Connecticut | 24.0 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.
