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.
Ken Cleveland Park median real estate price is $325,954, which is more expensive than 73.0% of the neighborhoods in Ohio and 43.5% of the neighborhoods in the U.S.
The average rental price in Ken Cleveland Park is currently $1,492, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 43.5% of Ohio neighborhoods.
Ken Cleveland Park is a suburban neighborhood (based on population density) located in Medina, Ohio.
Ken Cleveland Park real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and small apartment buildings. Most of the residential real estate is owner occupied. Many of the residences in the Ken Cleveland Park 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.
In Ken Cleveland Park, 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 Ken Cleveland Park 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 Medina, the Ken Cleveland Park 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 Ken Cleveland Park 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
With a nice mix of college students, safety from crime, and decent walkability, the Ken Cleveland Park 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 87.6% 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. In addition to being an excellent choice for college students, this neighborhood is also a very good choice for highly educated executives.
Diversity
Did you know that the Ken Cleveland Park neighborhood has more Hungarian and Irish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 9.4% of this neighborhood's residents have Hungarian ancestry and 26.5% have Irish ancestry.
Ken Cleveland Park is also pretty special linguistically. Significantly, 12.1% of its residents five years old and above primarily speak Italian at home. While this may seem like a small percentage, it is higher than 98.6% of the neighborhoods in America.
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 Ken Cleveland Park neighborhood in Medina are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 75.9% of the neighborhoods in America. With 11.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 51.6% 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 Ken Cleveland Park neighborhood, 53.9% 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 19.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (16.2%), and 10.5% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Ken Cleveland Park neighborhood is English, spoken by 98.9% of households. Some people also speak Italian (12.1%).
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 Ken Cleveland Park neighborhood in Medina, OH, residents most commonly identify their ethnicity or ancestry as Irish (26.5%). There are also a number of people of German ancestry (25.1%), and residents who report Italian roots (14.8%), and some of the residents are also of English ancestry (11.7%), along with some Hungarian ancestry residents (9.4%), among others.
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 Ken Cleveland Park neighborhood spend under 15 minutes commuting one-way to work (33.6% of working residents), one of the shortest commutes across America.
Here most residents (78.1%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (8.4%) . 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.
