10549 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10549 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 8,066, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,024, 62.29%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 681, 8.44%, see rank | 6.81% | 9.59% |
| Public Transportation | 1,116, 13.84%, see rank | 27.40% | 5.06% |
| Walked | 570, 7.07%, see rank | 6.36% | 2.78% |
| Other Means | 220, 2.73%, see rank | 1.89% | 1.79% |
| Worked at Home | 455, 5.64%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10549 Zip Code | 32.7 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10549 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 7,696, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 4,801, 62.38%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 739, 9.60%, see rank | 7.14% | 10.03% |
| Public Transportation | 860, 11.17%, see rank | 26.81% | 4.98% |
| Walked | 508, 6.60%, see rank | 6.40% | 2.82% |
| Other Means | 367, 4.77%, see rank | 1.81% | 1.76% |
| Worked at Home | 421, 5.47%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10549 Zip Code | 29.9 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10549 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 7,571, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 4,680, 61.81%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 671, 8.86%, see rank | 9.22% | 12.19% |
| Public Transportation | 1,245, 16.44%, see rank | 24.43% | 4.73% |
| Walked | 474, 6.26%, see rank | 6.23% | 2.93% |
| Other Means | 75, 0.99%, see rank | 0.84% | 1.19% |
| Worked at Home | 426, 5.63%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10549 Zip Code | 31.6 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.
