10467 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10467 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 38,683, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,105, 20.95%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,446, 3.74%, see rank | 6.81% | 9.59% |
| Public Transportation | 24,445, 63.19%, see rank | 27.40% | 5.06% |
| Walked | 3,289, 8.50%, see rank | 6.36% | 2.78% |
| Other Means | 506, 1.31%, see rank | 1.89% | 1.79% |
| Worked at Home | 892, 2.31%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10467 Zip Code | 46.3 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10467 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 38,552, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,367, 21.70%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,493, 3.87%, see rank | 7.14% | 10.03% |
| Public Transportation | 24,215, 62.81%, see rank | 26.81% | 4.98% |
| Walked | 2,933, 7.61%, see rank | 6.40% | 2.82% |
| Other Means | 391, 1.01%, see rank | 1.81% | 1.76% |
| Worked at Home | 1,153, 2.99%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10467 Zip Code | 46.0 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10467 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 32,297, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,829, 24.24%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,480, 7.68%, see rank | 9.22% | 12.19% |
| Public Transportation | 18,496, 57.27%, see rank | 24.43% | 4.73% |
| Walked | 2,676, 8.29%, see rank | 6.23% | 2.93% |
| Other Means | 251, 0.78%, see rank | 0.84% | 1.19% |
| Worked at Home | 565, 1.75%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10467 Zip Code | 44.8 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.
