12428 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 12428 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,423, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,754, 72.39%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 418, 17.25%, see rank | 6.81% | 9.59% |
| Public Transportation | 28, 1.16%, see rank | 27.40% | 5.06% |
| Walked | 119, 4.91%, see rank | 6.36% | 2.78% |
| Other Means | 13, 0.54%, see rank | 1.89% | 1.79% |
| Worked at Home | 91, 3.76%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 12428 Zip Code | 32.0 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 12428 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,474, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,756, 70.98%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 410, 16.57%, see rank | 7.14% | 10.03% |
| Public Transportation | 20, 0.81%, see rank | 26.81% | 4.98% |
| Walked | 157, 6.35%, see rank | 6.40% | 2.82% |
| Other Means | 7, 0.28%, see rank | 1.81% | 1.76% |
| Worked at Home | 124, 5.01%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 12428 Zip Code | 28.0 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 12428 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,874, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,879, 65.38%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 595, 20.70%, see rank | 9.22% | 12.19% |
| Public Transportation | 64, 2.23%, see rank | 24.43% | 4.73% |
| Walked | 232, 8.07%, see rank | 6.23% | 2.93% |
| Other Means | 32, 1.11%, see rank | 0.84% | 1.19% |
| Worked at Home | 72, 2.51%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 12428 Zip Code | 22.8 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.
