15228 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 15228 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 9,016, 100% | 5,826,933 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,438, 71.41%, see rank | 76.64% | 76.41% |
| Car, Truck, or Van—Carpooled | 646, 7.17%, see rank | 8.77% | 9.59% |
| Public Transportation | 1,063, 11.79%, see rank | 5.50% | 5.06% |
| Walked | 335, 3.72%, see rank | 3.85% | 2.78% |
| Other Means | 70, 0.78%, see rank | 1.34% | 1.79% |
| Worked at Home | 464, 5.15%, see rank | 3.89% | 4.37% |
Mean Travel Time to Work, see rank| 15228 Zip Code | 27.3 minutes |
| Pennsylvania | 26.0 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 15228 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 9,022, 100% | 5,808,681 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,191, 68.62%, see rank | 76.48% | 76.14% |
| Car, Truck, or Van—Carpooled | 744, 8.25%, see rank | 9.18% | 10.03% |
| Public Transportation | 1,117, 12.38%, see rank | 5.43% | 4.98% |
| Walked | 289, 3.20%, see rank | 3.90% | 2.82% |
| Other Means | 120, 1.33%, see rank | 1.31% | 1.76% |
| Worked at Home | 561, 6.22%, see rank | 3.70% | 4.27% |
Mean Travel Time to Work, see rank| 15228 Zip Code | 27.6 minutes |
| Pennsylvania | 25.7 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 15228 Zip Code | Pennsylvania | U.S. |
| Workers 16 Years and Over | 8,663, 100% | 5,556,311 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 5,925, 68.39%, see rank | 76.45% | 75.70% |
| Car, Truck, or Van—Carpooled | 669, 7.72%, see rank | 10.39% | 12.19% |
| Public Transportation | 1,399, 16.15%, see rank | 5.21% | 4.73% |
| Walked | 260, 3.00%, see rank | 4.13% | 2.93% |
| Other Means | 32, 0.37%, see rank | 0.85% | 1.19% |
| Worked at Home | 378, 4.36%, see rank | 2.96% | 3.26% |
Mean Travel Time to Work, see rank| 15228 Zip Code | 27.5 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.
