02861 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02861 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 12,486, 100% | 501,177 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 10,448, 83.68%, see rank | 80.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,082, 8.67%, see rank | 8.15% | 9.59% |
| Public Transportation | 233, 1.87%, see rank | 2.87% | 5.06% |
| Walked | 345, 2.76%, see rank | 3.74% | 2.78% |
| Other Means | 138, 1.11%, see rank | 1.58% | 1.79% |
| Worked at Home | 240, 1.92%, see rank | 3.48% | 4.37% |
Mean Travel Time to Work, see rank| 02861 Zip Code | 23.8 minutes |
| Rhode Island | 23.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02861 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 13,417, 100% | 500,642 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 11,141, 83.04%, see rank | 80.02% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,340, 9.99%, see rank | 8.53% | 10.03% |
| Public Transportation | 314, 2.34%, see rank | 2.91% | 4.98% |
| Walked | 325, 2.42%, see rank | 3.55% | 2.82% |
| Other Means | 172, 1.28%, see rank | 1.50% | 1.76% |
| Worked at Home | 125, 0.93%, see rank | 3.49% | 4.27% |
Mean Travel Time to Work, see rank| 02861 Zip Code | 25.0 minutes |
| Rhode Island | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02861 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 12,385, 100% | 490,905 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 10,287, 83.06%, see rank | 80.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,345, 10.86%, see rank | 10.39% | 12.19% |
| Public Transportation | 265, 2.14%, see rank | 2.48% | 4.73% |
| Walked | 226, 1.82%, see rank | 3.81% | 2.93% |
| Other Means | 118, 0.95%, see rank | 0.95% | 1.19% |
| Worked at Home | 144, 1.16%, see rank | 2.24% | 3.26% |
Mean Travel Time to Work, see rank| 02861 Zip Code | 21.4 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.
