06010 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 06010 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 29,519, 100% | 1,734,798 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 24,769, 83.91%, see rank | 78.65% | 76.41% |
| Car, Truck, or Van—Carpooled | 2,799, 9.48%, see rank | 8.19% | 9.59% |
| Public Transportation | 236, 0.80%, see rank | 4.70% | 5.06% |
| Walked | 445, 1.51%, see rank | 3.04% | 2.78% |
| Other Means | 396, 1.34%, see rank | 1.18% | 1.79% |
| Worked at Home | 874, 2.96%, see rank | 4.23% | 4.37% |
Mean Travel Time to Work, see rank| 06010 Zip Code | 23.0 minutes |
| Connecticut | 25.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 06010 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 30,392, 100% | 1,730,076 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 26,045, 85.70%, see rank | 78.74% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,564, 8.44%, see rank | 8.48% | 10.03% |
| Public Transportation | 256, 0.84%, see rank | 4.55% | 4.98% |
| Walked | 367, 1.21%, see rank | 2.94% | 2.82% |
| Other Means | 425, 1.40%, see rank | 1.19% | 1.76% |
| Worked at Home | 735, 2.42%, see rank | 4.09% | 4.27% |
Mean Travel Time to Work, see rank| 06010 Zip Code | 23.4 minutes |
| Connecticut | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 06010 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 30,884, 100% | 1,640,823 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 26,547, 85.96%, see rank | 80.00% | 75.70% |
| Car, Truck, or Van—Carpooled | 3,016, 9.77%, see rank | 9.41% | 12.19% |
| Public Transportation | 195, 0.63%, see rank | 4.01% | 4.73% |
| Walked | 566, 1.83%, see rank | 2.70% | 2.93% |
| Other Means | 159, 0.51%, see rank | 0.74% | 1.19% |
| Worked at Home | 401, 1.30%, see rank | 3.13% | 3.26% |
Mean Travel Time to Work, see rank| 06010 Zip Code | 21.6 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.
