16731 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 16731 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 1,087, 100% | 5,826,933 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 892, 82.06%, see rank | 76.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 79, 7.27%, see rank | 8.77% | 9.59% |
| Public Transportation | 2, 0.18%, see rank | 5.50% | 5.06% |
| Walked | 45, 4.14%, see rank | 3.85% | 2.78% |
| Other Means | 23, 2.12%, see rank | 1.34% | 1.79% |
| Worked at Home | 46, 4.23%, see rank | 3.89% | 4.37% |
Mean Travel Time to Work, see rank| 16731 Zip Code | 25.6 minutes |
| Pennsylvania | 26.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 16731 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 1,210, 100% | 5,808,681 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,010, 83.47%, see rank | 76.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 85, 7.02%, see rank | 9.18% | 10.03% |
| Public Transportation | 4, 0.33%, see rank | 5.43% | 4.98% |
| Walked | 45, 3.72%, see rank | 3.90% | 2.82% |
| Other Means | 19, 1.57%, see rank | 1.31% | 1.76% |
| Worked at Home | 47, 3.88%, see rank | 3.70% | 4.27% |
Mean Travel Time to Work, see rank| 16731 Zip Code | 24.2 minutes |
| Pennsylvania | 25.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 16731 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 1,305, 100% | 5,556,311 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,039, 79.62%, see rank | 76.45% | 75.70% |
| Car, Truck, or Van—Carpooled | 155, 11.88%, see rank | 10.39% | 12.19% |
| Public Transportation | 1, 0.08%, see rank | 5.21% | 4.73% |
| Walked | 54, 4.14%, see rank | 4.13% | 2.93% |
| Other Means | 19, 1.46%, see rank | 0.85% | 1.19% |
| Worked at Home | 37, 2.84%, see rank | 2.96% | 3.26% |
Mean Travel Time to Work, see rank| 16731 Zip Code | 24.1 minutes |
| Pennsylvania | 24.7 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.
