10576 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10576 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,292, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,343, 58.60%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 139, 6.06%, see rank | 6.81% | 9.59% |
| Public Transportation | 320, 13.96%, see rank | 27.40% | 5.06% |
| Walked | 102, 4.45%, see rank | 6.36% | 2.78% |
| Other Means | 16, 0.70%, see rank | 1.89% | 1.79% |
| Worked at Home | 372, 16.23%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10576 Zip Code | 45.9 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10576 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,351, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,471, 62.57%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 154, 6.55%, see rank | 7.14% | 10.03% |
| Public Transportation | 324, 13.78%, see rank | 26.81% | 4.98% |
| Walked | 72, 3.06%, see rank | 6.40% | 2.82% |
| Other Means | 19, 0.81%, see rank | 1.81% | 1.76% |
| Worked at Home | 311, 13.23%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10576 Zip Code | 43.9 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10576 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 2,263, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,455, 64.30%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 202, 8.93%, see rank | 9.22% | 12.19% |
| Public Transportation | 297, 13.12%, see rank | 24.43% | 4.73% |
| Walked | 113, 4.99%, see rank | 6.23% | 2.93% |
| Other Means | 0, 0.00%, see rank | 0.84% | 1.19% |
| Worked at Home | 196, 8.66%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10576 Zip Code | 41.4 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.
