10523 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 10523 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 4,829, 100% | 8,950,165 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 3,108, 64.36%, see rank | 53.60% | 76.41% |
| Car, Truck, or Van—Carpooled | 624, 12.92%, see rank | 6.81% | 9.59% |
| Public Transportation | 519, 10.75%, see rank | 27.40% | 5.06% |
| Walked | 273, 5.65%, see rank | 6.36% | 2.78% |
| Other Means | 75, 1.55%, see rank | 1.89% | 1.79% |
| Worked at Home | 230, 4.76%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rank| 10523 Zip Code | 25.0 minutes |
| New York | 32.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 10523 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 4,010, 100% | 8,877,453 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,849, 71.05%, see rank | 53.97% | 76.14% |
| Car, Truck, or Van—Carpooled | 419, 10.45%, see rank | 7.14% | 10.03% |
| Public Transportation | 443, 11.05%, see rank | 26.81% | 4.98% |
| Walked | 88, 2.19%, see rank | 6.40% | 2.82% |
| Other Means | 74, 1.85%, see rank | 1.81% | 1.76% |
| Worked at Home | 137, 3.42%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rank| 10523 Zip Code | 26.4 minutes |
| New York | 32.2 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 10523 Zip Code | New York | U.S. |
| Workers 16 Years and Over | 3,538, 100% | 8,211,916 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,421, 68.43%, see rank | 56.26% | 75.70% |
| Car, Truck, or Van—Carpooled | 453, 12.80%, see rank | 9.22% | 12.19% |
| Public Transportation | 512, 14.47%, see rank | 24.43% | 4.73% |
| Walked | 67, 1.89%, see rank | 6.23% | 2.93% |
| Other Means | 24, 0.68%, see rank | 0.84% | 1.19% |
| Worked at Home | 61, 1.72%, see rank | 3.02% | 3.26% |
Mean Travel Time to Work, see rank| 10523 Zip Code | 28.0 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.
