06029 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 06029 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 | 7,448, 88.17%, see rank | 78.65% | 76.41% |
| Car, Truck, or Van—Carpooled | 512, 6.06%, see rank | 8.19% | 9.59% |
| Public Transportation | 49, 0.58%, see rank | 4.70% | 5.06% |
| Walked | 129, 1.53%, see rank | 3.04% | 2.78% |
| Other Means | 29, 0.34%, see rank | 1.18% | 1.79% |
| Worked at Home | 280, 3.31%, see rank | 4.23% | 4.37% |
Mean Travel Time to Work, see rank| 06029 Zip Code | 29.2 minutes |
| Connecticut | 25.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 06029 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 8,431, 100% | 1,730,076 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,237, 85.84%, see rank | 78.74% | 76.14% |
| Car, Truck, or Van—Carpooled | 697, 8.27%, see rank | 8.48% | 10.03% |
| Public Transportation | 59, 0.70%, see rank | 4.55% | 4.98% |
| Walked | 114, 1.35%, see rank | 2.94% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.19% | 1.76% |
| Worked at Home | 324, 3.84%, see rank | 4.09% | 4.27% |
Mean Travel Time to Work, see rank| 06029 Zip Code | 27.3 minutes |
| Connecticut | 24.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 06029 Zip Code | Connecticut | U.S. |
| Workers 16 Years and Over | 7,280, 100% | 1,640,823 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,528, 89.67%, see rank | 80.00% | 75.70% |
| Car, Truck, or Van—Carpooled | 472, 6.48%, see rank | 9.41% | 12.19% |
| Public Transportation | 77, 1.06%, see rank | 4.01% | 4.73% |
| Walked | 45, 0.62%, see rank | 2.70% | 2.93% |
| Other Means | 18, 0.25%, see rank | 0.74% | 1.19% |
| Worked at Home | 140, 1.92%, see rank | 3.13% | 3.26% |
Mean Travel Time to Work, see rank| 06029 Zip Code | 25.8 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.
