10453 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10453 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 28,505, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,722, 13.06%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,515, 5.31%, see rank | 6.81% | 9.59% |
| Public Transportation | 18,906, 66.33%, see rank | 27.40% | 5.06% |
| Walked | 2,624, 9.21%, see rank | 6.36% | 2.78% |
| Other Means | 662, 2.32%, see rank | 1.89% | 1.79% |
| Worked at Home | 1,076, 3.77%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10453 Zip Code | 44.6 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10453 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 28,596, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 3,970, 13.88%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 2,073, 7.25%, see rank | 7.14% | 10.03% |
| Public Transportation | 18,643, 65.19%, see rank | 26.81% | 4.98% |
| Walked | 2,420, 8.46%, see rank | 6.40% | 2.82% |
| Other Means | 549, 1.92%, see rank | 1.81% | 1.76% |
| Worked at Home | 941, 3.29%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10453 Zip Code | 44.4 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10453 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 20,233, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,115, 15.40%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,745, 8.62%, see rank | 9.22% | 12.19% |
| Public Transportation | 13,501, 66.73%, see rank | 24.43% | 4.73% |
| Walked | 1,121, 5.54%, see rank | 6.23% | 2.93% |
| Other Means | 269, 1.33%, see rank | 0.84% | 1.19% |
| Worked at Home | 482, 2.38%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10453 Zip Code | 44.2 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.
