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.
Malone University median real estate price is $128,553, which is less expensive than 80.8% of Ohio neighborhoods and 91.0% of all U.S. neighborhoods.
The average rental price in Malone University is currently $1,231, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 67.9% of Ohio neighborhoods.
Malone University is a suburban neighborhood (based on population density) located in Canton, Ohio.
Malone University real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Malone University neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Home and apartment vacancy rates are 9.6% in Malone University. NeighborhoodScout analysis shows that this rate is lower than 40.0% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 Malone University neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
NeighborhoodScout's analysis shows that the Malone University neighborhood has a greater concentration of residents currently enrolled in college than 97.7% of the neighborhoods in the U.S. With 20.2% of the population here attending college, this is very much a college-focused neighborhood.
In addition, the Malone University neighborhood stands out for having an average per capita income lower than 95.9% of the neighborhoods in the United States. The Malone University neighborhood also has a greater percentage of children living in poverty (64.1%) than found in 97.7% of all U.S. neighborhoods. Children living in poverty is one of the challenges facing America, and the world, and in this neighborhood in particular, the problem can be considered acute.
Also, with a nice mix of college students, safety from crime, and decent walkability, the Malone University neighborhood rates highly as a college student friendly place to live, and one that college students and their parents may want to consider. NeighborhoodScout's analysis shows that it rates more highly for a good place for college students to live than 89.7% of the neighborhoods in OH. This often also means that the area has certain amenities and services geared towards college students, from undergraduates to graduate students.
Occupations
From major sales accounts to fast-food workers, sales and service employees are often the backbone of the local economy. In the Malone University neighborhood, they truly stand out. NeighborhoodScout's exclusive analysis identifies this neighborhood as having a higher percentage of sales and service workers than 95.6% of all American neighborhoods.
Diversity
Did you know that the Malone University neighborhood has more Swiss and Belgian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.5% of this neighborhood's residents have Swiss ancestry and 1.3% have Belgian ancestry.
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 Malone 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 95.9% of U.S. neighborhoods. With 64.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 97.7% of U.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 Malone University neighborhood, 38.7% 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 22.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (22.0%), and 16.6% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Malone University neighborhood is English, spoken by 87.1% of households. Some people also speak Spanish (10.9%).
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 Malone University neighborhood in Canton, OH, residents most commonly identify their ethnicity or ancestry as German (19.5%). There are also a number of people of Italian ancestry (11.1%), and residents who report Irish roots (8.3%), and some of the residents are also of French ancestry (7.1%), along with some English ancestry residents (6.2%), among others.
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 Malone University neighborhood spend between 15 and 30 minutes commuting one-way to work (47.2% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (79.0%) 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 (6.5%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
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.
