10965 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10965 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 7,136, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 5,601, 78.49%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 410, 5.75%, see rank | 6.81% | 9.59% |
| Public Transportation | 523, 7.33%, see rank | 27.40% | 5.06% |
| Walked | 146, 2.05%, see rank | 6.36% | 2.78% |
| Other Means | 56, 0.78%, see rank | 1.89% | 1.79% |
| Worked at Home | 400, 5.61%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10965 Zip Code | 34.2 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10965 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 6,769, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,316, 78.53%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 309, 4.56%, see rank | 7.14% | 10.03% |
| Public Transportation | 513, 7.58%, see rank | 26.81% | 4.98% |
| Walked | 186, 2.75%, see rank | 6.40% | 2.82% |
| Other Means | 51, 0.75%, see rank | 1.81% | 1.76% |
| Worked at Home | 394, 5.82%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10965 Zip Code | 31.9 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10965 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 7,145, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,601, 78.39%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 567, 7.94%, see rank | 9.22% | 12.19% |
| Public Transportation | 622, 8.71%, see rank | 24.43% | 4.73% |
| Walked | 187, 2.62%, see rank | 6.23% | 2.93% |
| Other Means | 32, 0.45%, see rank | 0.84% | 1.19% |
| Worked at Home | 136, 1.90%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10965 Zip Code | 32.3 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.
