10462 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10462 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 33,669, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,580, 19.54%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,821, 5.41%, see rank | 6.81% | 9.59% |
| Public Transportation | 21,162, 62.85%, see rank | 27.40% | 5.06% |
| Walked | 2,469, 7.33%, see rank | 6.36% | 2.78% |
| Other Means | 796, 2.36%, see rank | 1.89% | 1.79% |
| Worked at Home | 841, 2.50%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10462 Zip Code | 47.9 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10462 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 32,983, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 7,149, 21.67%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,953, 5.92%, see rank | 7.14% | 10.03% |
| Public Transportation | 20,539, 62.27%, see rank | 26.81% | 4.98% |
| Walked | 2,196, 6.66%, see rank | 6.40% | 2.82% |
| Other Means | 592, 1.79%, see rank | 1.81% | 1.76% |
| Worked at Home | 554, 1.68%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10462 Zip Code | 47.6 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10462 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 27,371, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,088, 25.90%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,529, 9.24%, see rank | 9.22% | 12.19% |
| Public Transportation | 15,629, 57.10%, see rank | 24.43% | 4.73% |
| Walked | 1,600, 5.85%, see rank | 6.23% | 2.93% |
| Other Means | 168, 0.61%, see rank | 0.84% | 1.19% |
| Worked at Home | 357, 1.30%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10462 Zip Code | 45.0 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.
