10452 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10452 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 26,056, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,851, 14.78%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,252, 4.81%, see rank | 6.81% | 9.59% |
| Public Transportation | 16,647, 63.89%, see rank | 27.40% | 5.06% |
| Walked | 2,493, 9.57%, see rank | 6.36% | 2.78% |
| Other Means | 774, 2.97%, see rank | 1.89% | 1.79% |
| Worked at Home | 1,039, 3.99%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10452 Zip Code | 41.5 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10452 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 27,189, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,331, 15.93%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,483, 5.45%, see rank | 7.14% | 10.03% |
| Public Transportation | 17,346, 63.80%, see rank | 26.81% | 4.98% |
| Walked | 2,574, 9.47%, see rank | 6.40% | 2.82% |
| Other Means | 494, 1.82%, see rank | 1.81% | 1.76% |
| Worked at Home | 961, 3.53%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10452 Zip Code | 42.1 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10452 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 19,797, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 3,185, 16.09%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,698, 8.58%, see rank | 9.22% | 12.19% |
| Public Transportation | 12,511, 63.20%, see rank | 24.43% | 4.73% |
| Walked | 1,643, 8.30%, see rank | 6.23% | 2.93% |
| Other Means | 296, 1.50%, see rank | 0.84% | 1.19% |
| Worked at Home | 464, 2.34%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10452 Zip Code | 43.8 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.
