02859 Zip Code Historical Commuting to Work Data
ACS 2010-2014 data
| | 02859 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 3,026, 100% | 501,177 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 2,648, 87.51%, see rank | 80.18% | 76.41% |
| Car, Truck, or Van—Carpooled | 239, 7.90%, see rank | 8.15% | 9.59% |
| Public Transportation | 16, 0.53%, see rank | 2.87% | 5.06% |
| Walked | 41, 1.35%, see rank | 3.74% | 2.78% |
| Other Means | 23, 0.76%, see rank | 1.58% | 1.79% |
| Worked at Home | 59, 1.95%, see rank | 3.48% | 4.37% |
Mean Travel Time to Work, see rank| 02859 Zip Code | 33.1 minutes |
| Rhode Island | 23.7 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | 02859 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 3,039, 100% | 500,642 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 2,605, 85.72%, see rank | 80.02% | 76.14% |
| Car, Truck, or Van—Carpooled | 290, 9.54%, see rank | 8.53% | 10.03% |
| Public Transportation | 16, 0.53%, see rank | 2.91% | 4.98% |
| Walked | 17, 0.56%, see rank | 3.55% | 2.82% |
| Other Means | 0, 0.00%, see rank | 1.50% | 1.76% |
| Worked at Home | 111, 3.65%, see rank | 3.49% | 4.27% |
Mean Travel Time to Work, see rank| 02859 Zip Code | 29.7 minutes |
| Rhode Island | 23.3 minutes |
| U.S. | 25.4 minutes |
US Census 2000 data
| | 02859 Zip Code | Rhode Island | U.S. |
| Workers 16 Years and Over | 3,447, 100% | 490,905 | 128,279,228 |
| Car, Truck, or Van—Drove Alone | 2,927, 84.91%, see rank | 80.12% | 75.70% |
| Car, Truck, or Van—Carpooled | 358, 10.39%, see rank | 10.39% | 12.19% |
| Public Transportation | 19, 0.55%, see rank | 2.48% | 4.73% |
| Walked | 55, 1.60%, see rank | 3.81% | 2.93% |
| Other Means | 17, 0.49%, see rank | 0.95% | 1.19% |
| Worked at Home | 71, 2.06%, see rank | 2.24% | 3.26% |
Mean Travel Time to Work, see rank| 02859 Zip Code | 30.1 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.
