Canon median real estate price is $316,376, which is more expensive than 75.4% of the neighborhoods in New Mexico and 54.3% of the neighborhoods in the U.S.
The average rental price in Canon is currently $1,183, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 55.7% of New Mexico neighborhoods.
Canon is a suburban neighborhood (based on population density) located in Taos, New Mexico.
Canon real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and small apartment buildings. Most of the residential real estate is owner occupied. Many of the residences in the Canon neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Vacant apartments or homes are a major fact of life in Canon. The current real estate vacancy rate here is 19.0%. This is higher than the rate of vacancies in 84.1% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Astoundingly, the Canon neighborhood has one of the highest concentrations of divorcees living here than of any neighborhood, a higher concentration than NeighborhoodScout found in 98.3% of U.S. neighborhoods. This may be because people living here divorce more often than others, or that divorced people move here after they become divorced. If you are divorced, you will be in good company in this particular Taos neighborhood.
In addition, if you're planning where to retire, the Canon neighborhood in Taos is a great option to consider. According to NeighborhoodScout's exclusive retirement dream area analysis, it's peaceful and quiet, has above average safety ratings compared to other neighborhoods in NM, offers a wide range of housing options, and has already attracted an enviable mix of college educated seniors. This neighborhood ranks as better for retirement living than 89.2% of the neighborhoods in New Mexico. If you are considering retiring to New Mexico, this is a good neighborhood to look at.
Would you like to be able to ride your bike to work? If you are attracted to the idea of getting a little exercise of the two-wheeled type while reducing your carbon footprint, bicycling to work might be the answer. But which neighborhood you live in can make this either impossible, or alternatively, a great and realistic option. NeighborhoodScout's analysis revealed that the Canon neighborhood is a fantastic option for bicycle commuters, as 5.4% of commuters here do ride their bikes to and from work on a daily basis. This is a higher amount than we found in 97.8% of the neighborhoods in America.
Also, in the Canon neighborhood, walking to work is a real option for many. In fact, NeighborhoodScout's exclusive research reveals walking to and from work is the chosen way to commute for 12.9% of residents here. This is a higher proportion of walking commuters than we found in 95.6% of American neighborhoods. Get ready to put on your walking shoes if you move here!
From major sales accounts to fast-food workers, sales and service employees are often the backbone of the local economy. In the Canon neighborhood, they truly stand out. NeighborhoodScout's exclusive analysis identifies this neighborhood as having a higher percentage of sales and service workers than 97.4% of all American neighborhoods.
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the Canon neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 63.4% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 97.0% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Did you know that the Canon neighborhood has more Scots-Irish and Scottish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 6.7% of this neighborhood's residents have Scots-Irish ancestry and 8.3% have Scottish ancestry.
Canon is also pretty special linguistically. Significantly, 0.9% of its residents five years old and above primarily speak Japanese at home. While this may seem like a small percentage, it is higher than 97.0% of the neighborhoods in America.
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the Canon neighborhood in Taos are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 85.7% of U.S. neighborhoods. With 17.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 63.2% of U.S. neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Canon neighborhood, 44.5% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 43.1% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (6.3%), and 6.2% in clerical, assistant, and tech support occupations.
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the Canon neighborhood is English, spoken by 80.4% of households. Other important languages spoken here include Spanish and Italian.
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Canon neighborhood in Taos, NM, residents most commonly identify their ethnicity or ancestry as German (16.6%). There are also a number of people of English ancestry (11.9%), and residents who report Irish roots (11.3%), and some of the residents are also of Scottish ancestry (8.3%), along with some Spanish ancestry residents (8.1%), among others.
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in Canon neighborhood spend under 15 minutes commuting one-way to work (63.4% of working residents), one of the shortest commutes across America.
Here most residents (80.6%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (12.9%) and 5.4% of residents also bicycle for their daily commute. In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2020 (latest available). Updated annually. Please note: Unemployment data updated February 2022.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2020 calendar year; released from FBI in Sept. 2021 (latest available). Updated annually. Where is 2021 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
| School Details | Grades | Quality Rating Compared to NM* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Chrysalis Alternative School
134 Cervantes Taos, NM 87571 |
07-12 | ||
|
Taos High School
134 Cervantes Taos, NM 87571 |
09-12 | ||
|
Taos Middle School
235 Paseo Del Canon Taos, NM 87571 |
06-08 | ||
|
Vista Grande High School
213 Paseo Del Canon East Taos, NM 87571 |
09-12 | ||
| * 10 is highest | |||
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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