10466 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10466 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 28,638, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 9,724, 33.95%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,366, 4.77%, see rank | 6.81% | 9.59% |
| Public Transportation | 15,115, 52.78%, see rank | 27.40% | 5.06% |
| Walked | 1,289, 4.50%, see rank | 6.36% | 2.78% |
| Other Means | 332, 1.16%, see rank | 1.89% | 1.79% |
| Worked at Home | 812, 2.84%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10466 Zip Code | 47.7 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10466 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 29,800, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 10,084, 33.84%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,296, 4.35%, see rank | 7.14% | 10.03% |
| Public Transportation | 15,441, 51.82%, see rank | 26.81% | 4.98% |
| Walked | 1,881, 6.31%, see rank | 6.40% | 2.82% |
| Other Means | 357, 1.20%, see rank | 1.81% | 1.76% |
| Worked at Home | 741, 2.49%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10466 Zip Code | 46.3 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10466 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 26,566, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 9,062, 34.11%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,735, 10.30%, see rank | 9.22% | 12.19% |
| Public Transportation | 13,228, 49.79%, see rank | 24.43% | 4.73% |
| Walked | 1,034, 3.89%, see rank | 6.23% | 2.93% |
| Other Means | 173, 0.65%, see rank | 0.84% | 1.19% |
| Worked at Home | 334, 1.26%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10466 Zip Code | 47.0 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.
