10567 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10567 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 9,446, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,930, 73.36%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 736, 7.79%, see rank | 6.81% | 9.59% |
| Public Transportation | 1,221, 12.93%, see rank | 27.40% | 5.06% |
| Walked | 82, 0.87%, see rank | 6.36% | 2.78% |
| Other Means | 110, 1.16%, see rank | 1.89% | 1.79% |
| Worked at Home | 367, 3.89%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10567 Zip Code | 40.7 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10567 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 9,510, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,755, 71.03%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 899, 9.45%, see rank | 7.14% | 10.03% |
| Public Transportation | 1,335, 14.04%, see rank | 26.81% | 4.98% |
| Walked | 62, 0.65%, see rank | 6.40% | 2.82% |
| Other Means | 75, 0.79%, see rank | 1.81% | 1.76% |
| Worked at Home | 384, 4.04%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10567 Zip Code | 41.1 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10567 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 8,547, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 6,194, 72.47%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 820, 9.59%, see rank | 9.22% | 12.19% |
| Public Transportation | 1,020, 11.93%, see rank | 24.43% | 4.73% |
| Walked | 73, 0.85%, see rank | 6.23% | 2.93% |
| Other Means | 35, 0.41%, see rank | 0.84% | 1.19% |
| Worked at Home | 405, 4.74%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10567 Zip Code | 39.5 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.
