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.
Sutherland Park median real estate price is $162,799, which is less expensive than 73.1% of Ohio neighborhoods and 86.5% of all U.S. neighborhoods.
The average rental price in Sutherland Park is currently $1,453, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 47.7% of Ohio neighborhoods.
Sutherland Park is an urban neighborhood (based on population density) located in Hamilton, Ohio.
Sutherland Park real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Sutherland Park 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 1940 and 1969.
Real estate vacancies in Sutherland Park are 5.4%, which is lower than one will find in 63.0% of American neighborhoods. Demand for real estate in Sutherland Park is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
Notable & Unique Neighborhood Characteristics
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to NeighborhoodScout's exclusive exploration and analysis.
People
Whether by choice, divorce, or unplanned pregnancy, single moms may have the toughest job in the book. NeighborhoodScout's exclusive analysis reveals that the Sutherland Park neighborhood has more single mother households than 96.5% of the neighborhoods in the U.S. Often high concentrations of single mother homes can be a strong indicator of family and social issues such as poverty, high rates of school dropouts, crime, and other societal problems.
Real Estate
Do you watch 'This Old House' on Public Television? Do you love the idea of fixing up a Colonial or Victorian era home, complete with the charm of yesteryear? Do you like to stroll or drive streets lined with gracious older residences? If you found yourself nodding yes to any of these questions, you are going to be interested in this unique neighborhood. The Sutherland Park neighborhood stands out on a national scale for the sheer concentration of historic residences it contains: 75.6% of the residential real estate here was built from 1939 or earlier, some much earlier. This is a greater concentration of historic homes than 99.3% of the neighborhoods in the United States.
Diversity
Did you know that the Sutherland Park neighborhood has more Swiss ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.2% of this neighborhood's residents have Swiss 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 Sutherland Park neighborhood in Hamilton are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 69.6% of U.S. neighborhoods. With 27.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 79.2% 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 Sutherland Park neighborhood, 27.9% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 27.3% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (22.8%), and 21.9% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The most common language spoken in the Sutherland Park neighborhood is English, spoken by 93.6% of households. Some people also speak Spanish (6.2%).
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 Sutherland Park neighborhood in Hamilton, OH, residents most commonly identify their ethnicity or ancestry as German (24.5%). There are also a number of people of Irish ancestry (11.1%), and residents who report English roots (9.2%), and some of the residents are also of Mexican ancestry (6.4%), along with some Polish ancestry residents (5.5%), 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 Sutherland Park neighborhood spend between 30 and 45 minutes commuting one-way to work (38.3% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (81.9%) 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 (10.7%) . 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.
