What do we mean by a neighborhood?
NeighborhoodScout® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. NeighborhoodScout contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
St Lawrence University median real estate price is $180,424, which is less expensive than 88.0% of New York neighborhoods and 81.2% of all U.S. neighborhoods.
Average rental prices in the St Lawrence University neighborhood are currently unreported, based on NeighborhoodScout's exclusive analysis.
St Lawrence University is a suburban neighborhood (based on population density) located in Canton, New York.
St Lawrence University real estate is primarily made up of . Most of the residential real estate is renter occupied. Many of the residences in the St Lawrence University neighborhood are relatively historic, built no later than 1939, and in some cases, quite a bit earlier. A number of residences were also built between 1970 and 1999.
In St Lawrence University, the current vacancy rate is 0.0%, which is a lower rate of vacancies than 100.0% of all neighborhoods in the U.S. This means that the housing supply in St Lawrence University is very tight compared to the demand for property here.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Canton, the St Lawrence University neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
This neighborhood has the distinction of having one of the lowest real estate vacancy rates of any neighborhood in America. With just 0.0% of the real estate vacant, this indicates an exceptionally strong demand for real estate in the St Lawrence University neighborhood, and/or an issue with creating enough supply for the demand. This could have the effect of increasing real estate prices, increasing supply to meet demand, or both.
People
In a nation where 1 out of every 4 children lives in poverty, the St Lawrence University neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
In addition, the St Lawrence University neighborhood is unique for having just 0.0% of adults here having earned a bachelor's degree. This is a lower rate of college graduates than NeighborhoodScout found in 100.0% of America's neighborhoods.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the St Lawrence University neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 92.9% 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 99.9% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Modes of Transportation
In the St Lawrence University 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 51.0% of residents here. This is a higher proportion of walking commuters than we found in 99.9% of American neighborhoods. Get ready to put on your walking shoes if you move here!
Also, in the St Lawrence University neighborhood, many people's commute means walking from the bedroom to the home office. NeighborhoodScout's analysis found that 30.8% of residents worked from home. This may not seem like a large number, but Scout's research shows that this is a higher percentage of people working from home than 97.3% of the neighborhoods in America. Often people who work from home are engaged in the creative or technological economy, such as is found in areas around Boston, and in Silicon Valley. Other times, people may be engaged in other businesses like trading stocks from home, or running a small beauty salon.
Occupations
From major sales accounts to fast-food workers, sales and service employees are often the backbone of the local economy. In the St Lawrence University 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.
Diversity
Did you know that the St Lawrence University neighborhood has more Canadian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.1% of this neighborhood's residents have Canadian ancestry.
Migration / Stability
Some neighborhoods have more internal cohesiveness than others. While other neighborhoods feel like a collection of strangers who just happen to live near each other. Sometimes this comes down to not only the personalities of the people in a place, but how long people have been together in that neighborhood. NeighborhoodScout's research has revealed some interesting things about the rootedness of people in the St Lawrence University neighborhood. In the St Lawrence University neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 96.9% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
The Neighbors
How wealthy a neighborhood is, from very wealthy, to middle income, to low income is very formative with regard to the personality and character of a neighborhood. Equally important is the rate of people, particularly children, who live below the federal poverty line. In some wealthy gated communities, the areas immediately surrounding can have high rates of childhood poverty, which indicates other social issues. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the St Lawrence University neighborhood in Canton are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 100.0% of U.S. neighborhoods. In addition, 0.0% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 100.0% of America's neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the St Lawrence University neighborhood, 41.7% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 26.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (19.7%), and 12.1% in manufacturing and laborer occupations.
Languages
The most common language spoken in the St Lawrence University neighborhood is English, spoken by 87.3% of households. Some people also speak Spanish (2.7%).
Ethnicity / Ancestry
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the St Lawrence University neighborhood in Canton, NY, residents most commonly identify their ethnicity or ancestry as Asian (5.7%). There are also a number of people of Italian ancestry (4.9%), and residents who report Irish roots (4.8%), and some of the residents are also of German ancestry (3.1%), along with some Sub-Saharan African ancestry residents (2.6%), among others. In addition, 11.7% of the residents of this neighborhood were born in another country.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in St Lawrence University neighborhood spend under 15 minutes commuting one-way to work (92.9% of working residents), one of the shortest commutes across America.
Here most residents (51.0%) hop out the door and walk to work to get to work. In addition, quite a number also drive alone in a private automobile to get to work (16.0%) . This is a special neighborhood for the number of people who walk to work. Combining exercise, low cost, and reduced pollution, plus the chance to see your neighbors, walking to work is fairly uncommon in America but likely to increase as people try to reduce their dependence on automobiles, and this neighborhood offers that opportunity today.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
