Ponderosa Pine, NM Historical Commuting to Work Data
ACS 2010-2014 data
| | Ponderosa Pine, NM | New Mexico | U.S. |
| Workers 16 Years and Over | 410, 100% | 869,118 | 141,337,148 |
| Car, Truck, or Van—Drove Alone | 303, 73.90%, see rank | 79.33% | 76.41% |
| Car, Truck, or Van—Carpooled | 43, 10.49%, see rank | 10.46% | 9.59% |
| Public Transportation | 0, 0.00%, see rank | 1.15% | 5.06% |
| Walked | 0, 0.00%, see rank | 2.24% | 2.78% |
| Other Means | 0, 0.00%, see rank | 2.03% | 1.79% |
| Worked at Home | 64, 15.61%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rank| Ponderosa Pine, NM | 39.7 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.7 minutes |
ACS 2008-2012 data
| | Ponderosa Pine, NM | New Mexico | U.S. |
| Workers 16 Years and Over | 490, 100% | 873,552 | 139,893,639 |
| Car, Truck, or Van—Drove Alone | 342, 69.80%, see rank | 78.41% | 76.14% |
| Car, Truck, or Van—Carpooled | 44, 8.98%, see rank | 11.34% | 10.03% |
| Public Transportation | 0, 0.00%, see rank | 1.07% | 4.98% |
| Walked | 0, 0.00%, see rank | 2.35% | 2.82% |
| Other Means | 14, 2.86%, see rank | 1.88% | 1.76% |
| Worked at Home | 90, 18.37%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rank| Ponderosa Pine, NM | 49.6 minutes |
| New Mexico | 21.5 minutes |
| U.S. | 25.4 minutes |
ACS 2006-2010 data
| | Ponderosa Pine, NM | New Mexico | U.S. |
| Workers 16 Years and Over | 518, 100% | 874,958 | 139,255,035 |
| Car, Truck, or Van—Drove Alone | 400, 77.22%, see rank | 77.70% | 76.00% |
| Car, Truck, or Van—Carpooled | 86, 16.60%, see rank | 12.01% | 10.35% |
| Public Transportation | 0, 0.00%, see rank | 1.05% | 4.94% |
| Walked | 0, 0.00%, see rank | 2.36% | 2.85% |
| Other Means | 11, 2.12%, see rank | 1.85% | 1.72% |
| Worked at Home | 21, 4.05%, see rank | 5.04% | 4.14% |
Mean Travel Time to Work, see rank| Ponderosa Pine, NM | 50.6 minutes |
| New Mexico | 21.4 minutes |
| U.S. | 25.3 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.
