New Columbia, PA Historical Commuting to Work Data
ACS 2010-2014 data
| | New Columbia, PA | Pennsylvania | U.S. |
| Workers 16 Years and Over | 361, 100% | 5,826,933 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 305, 84.49%, see rank | 76.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 39, 10.80%, see rank | 8.77% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 5.50% | 5.06% |
| Walked | 0, 0.00%, see rank | 3.85% | 2.78% |
| Other Means | 17, 4.71%, see rank | 1.34% | 1.79% |
| Worked at Home | 0, 0.00%, see rank | 3.89% | 4.37% |
Mean Travel Time to Work, see rank| New Columbia, PA | 17.1 minutes |
| Pennsylvania | 26.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | New Columbia, PA | Pennsylvania | U.S. |
| Workers 16 Years and Over | 618, 100% | 5,808,681 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 531, 85.92%, see rank | 76.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 43, 6.96%, see rank | 9.18% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 5.43% | 4.98% |
| Walked | 0, 0.00%, see rank | 3.90% | 2.82% |
| Other Means | 21, 3.40%, see rank | 1.31% | 1.76% |
| Worked at Home | 23, 3.72%, see rank | 3.70% | 4.27% |
Mean Travel Time to Work, see rank| New Columbia, PA | 19.3 minutes |
| Pennsylvania | 25.7 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | New Columbia, PA | Pennsylvania | U.S. |
| Workers 16 Years and Over | 737, 100% | 5,799,572 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 599, 81.28%, see rank | 76.44% | 76.00% |
| Car, Truck, or Van—Carpooled | 109, 14.79%, see rank | 9.42% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 5.39% | 4.94% |
| Walked | 0, 0.00%, see rank | 3.99% | 2.85% |
| Other Means | 16, 2.17%, see rank | 1.26% | 1.72% |
| Worked at Home | 13, 1.76%, see rank | 3.51% | 4.14% |
Mean Travel Time to Work, see rank| New Columbia, PA | 17.6 minutes |
| Pennsylvania | 25.4 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.
