Nunda, NY Historical Amount of Vehicle Available in a House Data
ACS 2010-2014 data
| Nunda, NY | New York | U.S. |
Occupied Housing Units | 614, 100% | 7,255,528 | 116,211,092 |
No Vehicles Available | 71, 11.56%, see rank | 29.34% | 9.12% |
1 Vehicles Available | 257, 41.86%, see rank | 32.69% | 33.80% |
2 Vehicles Available | 232, 37.79%, see rank | 26.49% | 37.48% |
3 or More Vehicles Available | 54, 8.79%, see rank | 11.49% | 19.61% |
ACS 2008-2012 data
| Nunda, NY | New York | U.S. |
Occupied Housing Units | 584, 100% | 7,230,896 | 115,226,802 |
No Vehicles Available | 56, 9.59%, see rank | 29.07% | 9.03% |
1 Vehicles Available | 221, 37.84%, see rank | 32.52% | 33.67% |
2 Vehicles Available | 201, 34.42%, see rank | 26.82% | 37.64% |
3 or More Vehicles Available | 106, 18.15%, see rank | 11.59% | 19.66% |
ACS 2006-2010 data
| Nunda, NY | New York | U.S. |
Occupied Housing Units | 529, 100% | 7,205,740 | 114,235,996 |
No Vehicles Available | 33, 6.24%, see rank | 28.50% | 8.85% |
1 Vehicles Available | 211, 39.89%, see rank | 32.42% | 33.28% |
2 Vehicles Available | 188, 35.54%, see rank | 27.27% | 37.87% |
3 or More Vehicles Available | 97, 18.34%, see rank | 11.81% | 20.00% |
ACS 2005-2009 data
| Nunda, NY | New York | U.S. |
Occupied Housing Units | 503, 100% | 7,137,013 | 112,611,029 |
No Vehicles Available | 25, 4.97%, see rank | 28.27% | 8.80% |
1 Vehicles Available | 166, 33.00%, see rank | 32.51% | 33.21% |
2 Vehicles Available | 211, 41.95%, see rank | 27.33% | 37.98% |
3 or More Vehicles Available | 101, 20.08%, see rank | 11.89% | 20.01% |
US Census 2000 data
| Nunda, NY | New York | U.S. |
Occupied Housing Units | 501, 100% | 7,056,860 | 105,480,101 |
No Vehicles Available | 34, 6.79%, see rank | 29.66% | 10.30% |
1 Vehicles Available | 189, 37.72%, see rank | 33.01% | 34.25% |
2 Vehicles Available | 213, 42.51%, see rank | 27.32% | 38.36% |
3 or More Vehicles Available | 65, 12.97%, see rank | 10.02% | 17.10% |
* 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.