14779 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 14779 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,441, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,900, 77.84%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 270, 11.06%, see rank | 6.81% | 9.59% |
| Public Transportation | 10, 0.41%, see rank | 27.40% | 5.06% |
| Walked | 140, 5.74%, see rank | 6.36% | 2.78% |
| Other Means | 36, 1.47%, see rank | 1.89% | 1.79% |
| Worked at Home | 85, 3.48%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 14779 Zip Code | 15.5 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 14779 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,693, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,019, 74.97%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 383, 14.22%, see rank | 7.14% | 10.03% |
| Public Transportation | 7, 0.26%, see rank | 26.81% | 4.98% |
| Walked | 179, 6.65%, see rank | 6.40% | 2.82% |
| Other Means | 33, 1.23%, see rank | 1.81% | 1.76% |
| Worked at Home | 72, 2.67%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 14779 Zip Code | 15.0 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 14779 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,968, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,217, 74.70%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 454, 15.30%, see rank | 9.22% | 12.19% |
| Public Transportation | 22, 0.74%, see rank | 24.43% | 4.73% |
| Walked | 166, 5.59%, see rank | 6.23% | 2.93% |
| Other Means | 35, 1.18%, see rank | 0.84% | 1.19% |
| Worked at Home | 74, 2.49%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 14779 Zip Code | 16.7 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.
