06483 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 06483 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 8,447, 100% | 1,734,798 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,088, 83.91%, see rank | 78.65% | 76.41% |
| Car, Truck, or Van—Carpooled | 886, 10.49%, see rank | 8.19% | 9.59% |
| Public Transportation | 123, 1.46%, see rank | 4.70% | 5.06% |
| Walked | 99, 1.17%, see rank | 3.04% | 2.78% |
| Other Means | 35, 0.41%, see rank | 1.18% | 1.79% |
| Worked at Home | 216, 2.56%, see rank | 4.23% | 4.37% |
Mean Travel Time to Work, see rank| 06483 Zip Code | 27.8 minutes |
| Connecticut | 25.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 06483 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 8,429, 100% | 1,730,076 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,358, 87.29%, see rank | 78.74% | 76.14% |
| Car, Truck, or Van—Carpooled | 817, 9.69%, see rank | 8.48% | 10.03% |
| Public Transportation | 1, 0.01%, see rank | 4.55% | 4.98% |
| Walked | 51, 0.61%, see rank | 2.94% | 2.82% |
| Other Means | 29, 0.34%, see rank | 1.19% | 1.76% |
| Worked at Home | 173, 2.05%, see rank | 4.09% | 4.27% |
Mean Travel Time to Work, see rank| 06483 Zip Code | 28.8 minutes |
| Connecticut | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 06483 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 8,017, 100% | 1,640,823 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,119, 88.80%, see rank | 80.00% | 75.70% |
| Car, Truck, or Van—Carpooled | 565, 7.05%, see rank | 9.41% | 12.19% |
| Public Transportation | 52, 0.65%, see rank | 4.01% | 4.73% |
| Walked | 78, 0.97%, see rank | 2.70% | 2.93% |
| Other Means | 16, 0.20%, see rank | 0.74% | 1.19% |
| Worked at Home | 187, 2.33%, see rank | 3.13% | 3.26% |
Mean Travel Time to Work, see rank| 06483 Zip Code | 25.2 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.
