06279 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 06279 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 3,374, 100% | 1,734,798 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,850, 84.47%, see rank | 78.65% | 76.41% |
| Car, Truck, or Van—Carpooled | 372, 11.03%, see rank | 8.19% | 9.59% |
| Public Transportation | 29, 0.86%, see rank | 4.70% | 5.06% |
| Walked | 11, 0.33%, see rank | 3.04% | 2.78% |
| Other Means | 86, 2.55%, see rank | 1.18% | 1.79% |
| Worked at Home | 26, 0.77%, see rank | 4.23% | 4.37% |
Mean Travel Time to Work, see rank| 06279 Zip Code | 24.7 minutes |
| Connecticut | 25.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 06279 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 3,492, 100% | 1,730,076 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,091, 88.52%, see rank | 78.74% | 76.14% |
| Car, Truck, or Van—Carpooled | 210, 6.01%, see rank | 8.48% | 10.03% |
| Public Transportation | 10, 0.29%, see rank | 4.55% | 4.98% |
| Walked | 0, 0.00%, see rank | 2.94% | 2.82% |
| Other Means | 99, 2.84%, see rank | 1.19% | 1.76% |
| Worked at Home | 82, 2.35%, see rank | 4.09% | 4.27% |
Mean Travel Time to Work, see rank| 06279 Zip Code | 27.9 minutes |
| Connecticut | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 06279 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 3,481, 100% | 1,640,823 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,916, 83.77%, see rank | 80.00% | 75.70% |
| Car, Truck, or Van—Carpooled | 333, 9.57%, see rank | 9.41% | 12.19% |
| Public Transportation | 13, 0.37%, see rank | 4.01% | 4.73% |
| Walked | 54, 1.55%, see rank | 2.70% | 2.93% |
| Other Means | 13, 0.37%, see rank | 0.74% | 1.19% |
| Worked at Home | 152, 4.37%, see rank | 3.13% | 3.26% |
Mean Travel Time to Work, see rank| 06279 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.
