10570 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10570 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 5,827, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,768, 64.66%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 254, 4.36%, see rank | 6.81% | 9.59% |
| Public Transportation | 1,189, 20.41%, see rank | 27.40% | 5.06% |
| Walked | 312, 5.35%, see rank | 6.36% | 2.78% |
| Other Means | 49, 0.84%, see rank | 1.89% | 1.79% |
| Worked at Home | 255, 4.38%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10570 Zip Code | 34.2 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10570 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 6,096, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,880, 63.65%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 276, 4.53%, see rank | 7.14% | 10.03% |
| Public Transportation | 1,290, 21.16%, see rank | 26.81% | 4.98% |
| Walked | 314, 5.15%, see rank | 6.40% | 2.82% |
| Other Means | 44, 0.72%, see rank | 1.81% | 1.76% |
| Worked at Home | 292, 4.79%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10570 Zip Code | 33.7 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10570 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 5,853, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,888, 66.43%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 336, 5.74%, see rank | 9.22% | 12.19% |
| Public Transportation | 1,069, 18.26%, see rank | 24.43% | 4.73% |
| Walked | 226, 3.86%, see rank | 6.23% | 2.93% |
| Other Means | 45, 0.77%, see rank | 0.84% | 1.19% |
| Worked at Home | 289, 4.94%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10570 Zip Code | 34.5 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.
