Mora Independent Schools Historical Commuting to Work Data
ACS 2010-2014 data
| Mora Independent Schools | New Mexico | U.S. |
Workers 16 Years and Over | 1,026, 100% | 869,118 | 141,337,148 |
Car, Truck, or Van—Drove Alone | 741, 72.22%, see rank | 79.33% | 76.41% |
Car, Truck, or Van—Carpooled | 105, 10.23%, 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 | 162, 15.79%, see rank | 2.03% | 1.79% |
Worked at Home | 18, 1.75%, see rank | 4.79% | 4.37% |
Mean Travel Time to Work, see rankMora Independent Schools | 24.7 minutes |
New Mexico | 21.5 minutes |
U.S. | 25.7 minutes |
ACS 2008-2012 data
| Mora Independent Schools | New Mexico | U.S. |
Workers 16 Years and Over | 1,477, 100% | 873,552 | 139,893,639 |
Car, Truck, or Van—Drove Alone | 978, 66.22%, see rank | 78.41% | 76.14% |
Car, Truck, or Van—Carpooled | 233, 15.78%, 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 | 112, 7.58%, see rank | 1.88% | 1.76% |
Worked at Home | 154, 10.43%, see rank | 4.94% | 4.27% |
Mean Travel Time to Work, see rankMora Independent Schools | 32.0 minutes |
New Mexico | 21.5 minutes |
U.S. | 25.4 minutes |
ACS 2005-2009 data
| Mora Independent Schools | New Mexico | U.S. |
Workers 16 Years and Over | 1,636, 100% | 862,054 | 138,541,405 |
Car, Truck, or Van—Drove Alone | 1,081, 66.08%, see rank | 77.12% | 75.92% |
Car, Truck, or Van—Carpooled | 453, 27.69%, see rank | 12.64% | 10.52% |
Public Transportation | 0, 0.00%, see rank | 1.01% | 4.95% |
Walked | 39, 2.38%, see rank | 2.38% | 2.86% |
Other Means | 27, 1.65%, see rank | 1.87% | 1.72% |
Worked at Home | 36, 2.20%, see rank | 4.98% | 4.02% |
Mean Travel Time to Work, see rankMora Independent Schools | 33.6 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.