14103 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 14103 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 4,185, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,375, 80.65%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 329, 7.86%, see rank | 6.81% | 9.59% |
| Public Transportation | 47, 1.12%, see rank | 27.40% | 5.06% |
| Walked | 95, 2.27%, see rank | 6.36% | 2.78% |
| Other Means | 110, 2.63%, see rank | 1.89% | 1.79% |
| Worked at Home | 229, 5.47%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 14103 Zip Code | 19.5 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 14103 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 4,486, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,683, 82.10%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 454, 10.12%, see rank | 7.14% | 10.03% |
| Public Transportation | 51, 1.14%, see rank | 26.81% | 4.98% |
| Walked | 89, 1.98%, see rank | 6.40% | 2.82% |
| Other Means | 47, 1.05%, see rank | 1.81% | 1.76% |
| Worked at Home | 162, 3.61%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 14103 Zip Code | 18.7 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 14103 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 5,121, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,102, 80.10%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 622, 12.15%, see rank | 9.22% | 12.19% |
| Public Transportation | 26, 0.51%, see rank | 24.43% | 4.73% |
| Walked | 123, 2.40%, see rank | 6.23% | 2.93% |
| Other Means | 65, 1.27%, see rank | 0.84% | 1.19% |
| Worked at Home | 183, 3.57%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 14103 Zip Code | 21.5 minutes |
| New York | 31.7 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.
