10506 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10506 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,385, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,561, 65.45%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 141, 5.91%, see rank | 6.81% | 9.59% |
| Public Transportation | 315, 13.21%, see rank | 27.40% | 5.06% |
| Walked | 51, 2.14%, see rank | 6.36% | 2.78% |
| Other Means | 25, 1.05%, see rank | 1.89% | 1.79% |
| Worked at Home | 292, 12.24%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10506 Zip Code | 37.3 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10506 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,305, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,423, 61.74%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 144, 6.25%, see rank | 7.14% | 10.03% |
| Public Transportation | 407, 17.66%, see rank | 26.81% | 4.98% |
| Walked | 55, 2.39%, see rank | 6.40% | 2.82% |
| Other Means | 35, 1.52%, see rank | 1.81% | 1.76% |
| Worked at Home | 241, 10.46%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10506 Zip Code | 40.2 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10506 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,659, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,748, 65.74%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 211, 7.94%, see rank | 9.22% | 12.19% |
| Public Transportation | 395, 14.86%, see rank | 24.43% | 4.73% |
| Walked | 53, 1.99%, see rank | 6.23% | 2.93% |
| Other Means | 14, 0.53%, see rank | 0.84% | 1.19% |
| Worked at Home | 238, 8.95%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10506 Zip Code | 39.3 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.
