02842 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02842 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 7,757, 100% | 501,177 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 6,399, 82.49%, see rank | 80.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 700, 9.02%, see rank | 8.15% | 9.59% |
| Public Transportation | 120, 1.55%, see rank | 2.87% | 5.06% |
| Walked | 157, 2.02%, see rank | 3.74% | 2.78% |
| Other Means | 83, 1.07%, see rank | 1.58% | 1.79% |
| Worked at Home | 298, 3.84%, see rank | 3.48% | 4.37% |
Mean Travel Time to Work, see rank| 02842 Zip Code | 17.5 minutes |
| Rhode Island | 23.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02842 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 8,012, 100% | 500,642 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 6,852, 85.52%, see rank | 80.02% | 76.14% |
| Car, Truck, or Van—Carpooled | 608, 7.59%, see rank | 8.53% | 10.03% |
| Public Transportation | 81, 1.01%, see rank | 2.91% | 4.98% |
| Walked | 218, 2.72%, see rank | 3.55% | 2.82% |
| Other Means | 65, 0.81%, see rank | 1.50% | 1.76% |
| Worked at Home | 188, 2.35%, see rank | 3.49% | 4.27% |
Mean Travel Time to Work, see rank| 02842 Zip Code | 15.8 minutes |
| Rhode Island | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02842 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 8,606, 100% | 490,905 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 7,297, 84.79%, see rank | 80.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 695, 8.08%, see rank | 10.39% | 12.19% |
| Public Transportation | 74, 0.86%, see rank | 2.48% | 4.73% |
| Walked | 148, 1.72%, see rank | 3.81% | 2.93% |
| Other Means | 103, 1.20%, see rank | 0.95% | 1.19% |
| Worked at Home | 289, 3.36%, see rank | 2.24% | 3.26% |
Mean Travel Time to Work, see rank| 02842 Zip Code | 17.0 minutes |
| Rhode Island | 22.1 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.
