02893 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02893 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 15,102, 100% | 501,177 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 12,748, 84.41%, see rank | 80.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 1,343, 8.89%, see rank | 8.15% | 9.59% |
| Public Transportation | 345, 2.28%, see rank | 2.87% | 5.06% |
| Walked | 200, 1.32%, see rank | 3.74% | 2.78% |
| Other Means | 26, 0.17%, see rank | 1.58% | 1.79% |
| Worked at Home | 440, 2.91%, see rank | 3.48% | 4.37% |
Mean Travel Time to Work, see rank| 02893 Zip Code | 23.4 minutes |
| Rhode Island | 23.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02893 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 14,800, 100% | 500,642 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 12,344, 83.41%, see rank | 80.02% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,320, 8.92%, see rank | 8.53% | 10.03% |
| Public Transportation | 409, 2.76%, see rank | 2.91% | 4.98% |
| Walked | 195, 1.32%, see rank | 3.55% | 2.82% |
| Other Means | 176, 1.19%, see rank | 1.50% | 1.76% |
| Worked at Home | 356, 2.41%, see rank | 3.49% | 4.27% |
Mean Travel Time to Work, see rank| 02893 Zip Code | 23.0 minutes |
| Rhode Island | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02893 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 14,563, 100% | 490,905 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 12,257, 84.17%, see rank | 80.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 1,670, 11.47%, see rank | 10.39% | 12.19% |
| Public Transportation | 145, 1.00%, see rank | 2.48% | 4.73% |
| Walked | 216, 1.48%, see rank | 3.81% | 2.93% |
| Other Means | 95, 0.65%, see rank | 0.95% | 1.19% |
| Worked at Home | 180, 1.24%, see rank | 2.24% | 3.26% |
Mean Travel Time to Work, see rank| 02893 Zip Code | 20.9 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.
