10573 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10573 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 19,921, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,949, 54.96%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,260, 6.32%, see rank | 6.81% | 9.59% |
| Public Transportation | 3,254, 16.33%, see rank | 27.40% | 5.06% |
| Walked | 2,073, 10.41%, see rank | 6.36% | 2.78% |
| Other Means | 1,807, 9.07%, see rank | 1.89% | 1.79% |
| Worked at Home | 578, 2.90%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10573 Zip Code | 26.0 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10573 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 19,448, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,085, 57.00%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 880, 4.52%, see rank | 7.14% | 10.03% |
| Public Transportation | 3,193, 16.42%, see rank | 26.81% | 4.98% |
| Walked | 1,932, 9.93%, see rank | 6.40% | 2.82% |
| Other Means | 1,881, 9.67%, see rank | 1.81% | 1.76% |
| Worked at Home | 477, 2.45%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10573 Zip Code | 26.2 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10573 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 17,257, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,558, 61.18%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 2,266, 13.13%, see rank | 9.22% | 12.19% |
| Public Transportation | 2,698, 15.63%, see rank | 24.43% | 4.73% |
| Walked | 1,177, 6.82%, see rank | 6.23% | 2.93% |
| Other Means | 152, 0.88%, see rank | 0.84% | 1.19% |
| Worked at Home | 406, 2.35%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10573 Zip Code | 23.5 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.
