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 $181,522, which is less expensive than 87.8% of New York neighborhoods and 82.4% 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
With a real estate vacancy rate of only 0.0%, the St Lawrence University neighborhood has a lower vacancy rate than 100.0% of U.S. neighborhoods, a very elite group. Such a low vacancy rate may indicate very strong real estate demand in the neighborhood combined with some impediments to increasing supply, such as zoning or existing density of development, among other potential reasons.
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, neighborhoodScout's exclusive research revealed that 100.0% of the adult residents in the St Lawrence University neighborhood do not have a 4-year college degree, which is a lower rate of college graduated adults than found in 100.0% of the neighborhoods in America.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The St Lawrence University neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. 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
More people in St Lawrence University choose to walk to work each day (51.0%) than almost any neighborhood in America. If you are attracted to the idea of being able to walk to work, this neighborhood could be a good choice.
Also, a unique way of commuting is simply not to. And in the St Lawrence University neighborhood, analysis shows that 30.8% of the residents work from home, avoiding a commute altogether. This may not seem like a large number, but it is a higher proportion of people working from home than is found in 97.3% of the neighborhoods in the United States. One thing NeighborhoodScout's research reveals is that the wealthier and/or more isolated the neighborhood, the greater the proportion of residents who choose to work from home.
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
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. 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
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 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 the shared learned behavior of peoples. Undeniably, different ethnicities and ancestries have different cultural traditions, and as a result, neighborhoods with concentrations of residents of one or another ethnicities or ancestries will express those cultures. It is what makes the North End in Boston so fun to visit for the Italian restaurants, bakeries, culture, and charm, and similarly, why people enjoy visiting Chinatown in San Francisco.
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
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 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.
