16426 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 16426 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 2,150, 100% | 5,826,933 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 1,795, 83.49%, see rank | 76.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 231, 10.74%, see rank | 8.77% | 9.59% |
| Public Transportation | 10, 0.47%, see rank | 5.50% | 5.06% |
| Walked | 3, 0.14%, see rank | 3.85% | 2.78% |
| Other Means | 6, 0.28%, see rank | 1.34% | 1.79% |
| Worked at Home | 105, 4.88%, see rank | 3.89% | 4.37% |
Mean Travel Time to Work, see rank| 16426 Zip Code | 20.5 minutes |
| Pennsylvania | 26.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 16426 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 1,887, 100% | 5,808,681 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 1,667, 88.34%, see rank | 76.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 153, 8.11%, see rank | 9.18% | 10.03% |
| Public Transportation | 9, 0.48%, see rank | 5.43% | 4.98% |
| Walked | 5, 0.26%, see rank | 3.90% | 2.82% |
| Other Means | 9, 0.48%, see rank | 1.31% | 1.76% |
| Worked at Home | 44, 2.33%, see rank | 3.70% | 4.27% |
Mean Travel Time to Work, see rank| 16426 Zip Code | 22.2 minutes |
| Pennsylvania | 25.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 16426 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 2,021, 100% | 5,556,311 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 1,788, 88.47%, see rank | 76.45% | 75.70% |
| Car, Truck, or Van—Carpooled | 125, 6.19%, see rank | 10.39% | 12.19% |
| Public Transportation | 13, 0.64%, see rank | 5.21% | 4.73% |
| Walked | 43, 2.13%, see rank | 4.13% | 2.93% |
| Other Means | 12, 0.59%, see rank | 0.85% | 1.19% |
| Worked at Home | 40, 1.98%, see rank | 2.96% | 3.26% |
Mean Travel Time to Work, see rank| 16426 Zip Code | 19.7 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.
