11747 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 11747 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 8,663, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 7,081, 81.74%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 308, 3.56%, see rank | 6.81% | 9.59% |
| Public Transportation | 837, 9.66%, see rank | 27.40% | 5.06% |
| Walked | 38, 0.44%, see rank | 6.36% | 2.78% |
| Other Means | 0, 0.00%, see rank | 1.89% | 1.79% |
| Worked at Home | 399, 4.61%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 11747 Zip Code | 31.9 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 11747 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 8,376, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,683, 79.79%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 300, 3.58%, see rank | 7.14% | 10.03% |
| Public Transportation | 986, 11.77%, see rank | 26.81% | 4.98% |
| Walked | 10, 0.12%, see rank | 6.40% | 2.82% |
| Other Means | 33, 0.39%, see rank | 1.81% | 1.76% |
| Worked at Home | 364, 4.35%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 11747 Zip Code | 32.4 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 11747 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 7,341, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,797, 78.97%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 436, 5.94%, see rank | 9.22% | 12.19% |
| Public Transportation | 741, 10.09%, see rank | 24.43% | 4.73% |
| Walked | 67, 0.91%, see rank | 6.23% | 2.93% |
| Other Means | 11, 0.15%, see rank | 0.84% | 1.19% |
| Worked at Home | 289, 3.94%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 11747 Zip Code | 33.9 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.
