11714 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 11714 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 10,810, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 8,654, 80.06%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 469, 4.34%, see rank | 6.81% | 9.59% |
| Public Transportation | 1,163, 10.76%, see rank | 27.40% | 5.06% |
| Walked | 75, 0.69%, see rank | 6.36% | 2.78% |
| Other Means | 96, 0.89%, see rank | 1.89% | 1.79% |
| Worked at Home | 353, 3.27%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 11714 Zip Code | 30.9 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 11714 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 10,590, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 8,160, 77.05%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 597, 5.64%, see rank | 7.14% | 10.03% |
| Public Transportation | 1,374, 12.97%, see rank | 26.81% | 4.98% |
| Walked | 45, 0.42%, see rank | 6.40% | 2.82% |
| Other Means | 69, 0.65%, see rank | 1.81% | 1.76% |
| Worked at Home | 345, 3.26%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 11714 Zip Code | 33.2 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 11714 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 10,905, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 8,516, 78.09%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 812, 7.45%, see rank | 9.22% | 12.19% |
| Public Transportation | 1,143, 10.48%, see rank | 24.43% | 4.73% |
| Walked | 167, 1.53%, see rank | 6.23% | 2.93% |
| Other Means | 71, 0.65%, see rank | 0.84% | 1.19% |
| Worked at Home | 196, 1.80%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 11714 Zip Code | 30.9 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.
