Binghamton University, NY Historical Commuting to Work Data
ACS 2010-2014 data
| Binghamton University, NY | New York | U.S. |
Workers 16 Years and Over | 1,190, 100% | 8,950,165 | 141,337,148 |
Car, Truck, or Van—Drove Alone | 168, 14.12%, see rank | 53.60% | 76.41% |
Car, Truck, or Van—Carpooled | 22, 1.85%, see rank | 6.81% | 9.59% |
Public Transportation | 11, 0.92%, see rank | 27.40% | 5.06% |
Walked | 828, 69.58%, see rank | 6.36% | 2.78% |
Other Means | 10, 0.84%, see rank | 1.89% | 1.79% |
Worked at Home | 151, 12.69%, see rank | 3.93% | 4.37% |
Mean Travel Time to Work, see rankBinghamton University, NY | 6.9 minutes |
New York | 32.5 minutes |
U.S. | 25.7 minutes |
ACS 2008-2012 data
| Binghamton University, NY | New York | U.S. |
Workers 16 Years and Over | 1,567, 100% | 8,877,453 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 166, 10.59%, see rank | 53.97% | 76.14% |
Car, Truck, or Van—Carpooled | 60, 3.83%, see rank | 7.14% | 10.03% |
Public Transportation | 22, 1.40%, see rank | 26.81% | 4.98% |
Walked | 839, 53.54%, see rank | 6.40% | 2.82% |
Other Means | 7, 0.45%, see rank | 1.81% | 1.76% |
Worked at Home | 473, 30.19%, see rank | 3.88% | 4.27% |
Mean Travel Time to Work, see rankBinghamton University, NY | 7.9 minutes |
New York | 32.2 minutes |
U.S. | 25.4 minutes |
ACS 2006-2010 data
| Binghamton University, NY | New York | U.S. |
Workers 16 Years and Over | 1,757, 100% | 8,815,965 | 139,255,035 |
Car, Truck, or Van—Drove Alone | 330, 18.78%, see rank | 54.12% | 76.00% |
Car, Truck, or Van—Carpooled | 55, 3.13%, see rank | 7.39% | 10.35% |
Public Transportation | 25, 1.42%, see rank | 26.52% | 4.94% |
Walked | 662, 37.68%, see rank | 6.32% | 2.85% |
Other Means | 26, 1.48%, see rank | 1.80% | 1.72% |
Worked at Home | 659, 37.51%, see rank | 3.84% | 4.14% |
Mean Travel Time to Work, see rankBinghamton University, NY | 8.5 minutes |
New York | 32.0 minutes |
U.S. | 25.3 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.