Ruidoso Micro Area Historical Commuting to Work Data
ACS 2008-2012 data
| | Ruidoso Area | New Mexico | U.S. |
| Workers 16 Years and Over | 8,729, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 5,970, 68.39%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 1,461, 16.74%, see rank | 11.34% | 10.03% |
| Public Transportation | 14, 0.16%, see rank | 1.07% | 4.98% |
| Walked | 388, 4.44%, see rank | 2.35% | 2.82% |
| Other Means | 44, 0.50%, see rank | 1.88% | 1.76% |
| Worked at Home | 852, 9.76%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| Ruidoso Area | 17.6 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Ruidoso Area | New Mexico | U.S. |
| Workers 16 Years and Over | 8,877, 100% | 874,958 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 5,946, 66.98%, see rank | 77.70% | 76.00% |
| Car, Truck, or Van—Carpooled | 1,459, 16.44%, see rank | 12.01% | 10.35% |
| Public Transportation | 23, 0.26%, see rank | 1.05% | 4.94% |
| Walked | 368, 4.15%, see rank | 2.36% | 2.85% |
| Other Means | 76, 0.86%, see rank | 1.85% | 1.72% |
| Worked at Home | 1,005, 11.32%, see rank | 5.04% | 4.14% |
Mean Travel Time to Work, see rank| Ruidoso Area | 16.2 minutes |
| New Mexico | 21.4 minutes |
| U.S. | 25.3 minutes |
ACS 2005-2009 data
| | Ruidoso Area | New Mexico | U.S. |
| Workers 16 Years and Over | 9,244, 100% | 862,054 | 138,541,405 |
| Car, Truck, or Van—Drove Alone | 6,427, 69.53%, see rank | 77.12% | 75.92% |
| Car, Truck, or Van—Carpooled | 1,323, 14.31%, see rank | 12.64% | 10.52% |
| Public Transportation | 43, 0.47%, see rank | 1.01% | 4.95% |
| Walked | 345, 3.73%, see rank | 2.38% | 2.86% |
| Other Means | 52, 0.56%, see rank | 1.87% | 1.72% |
| Worked at Home | 1,054, 11.40%, see rank | 4.98% | 4.02% |
Mean Travel Time to Work, see rank| Ruidoso Area | 14.9 minutes |
| New Mexico | 21.3 minutes |
| U.S. | 25.2 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.
