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.
McPherson median real estate price is $261,839, which is more expensive than 61.2% of the neighborhoods in Ohio and 32.9% of the neighborhoods in the U.S.
The average rental price in McPherson is currently $1,073, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 90.7% of Ohio neighborhoods.
McPherson is a suburban neighborhood (based on population density) located in Dayton, Ohio.
McPherson real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and single-family homes. Most of the residential real estate is renter occupied. Many of the residences in the McPherson 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.
Vacant apartments or homes are a major fact of life in McPherson. The current real estate vacancy rate here is 28.6%. This is higher than the rate of vacancies in 94.0% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
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
The McPherson neighborhood stands out for having an average per capita income lower than 97.1% of the neighborhoods in the United States. In a nation where 1 out of every 4 children lives in poverty, the McPherson neighborhood also stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
In addition, the types of households in a neighborhood can tell a lot about the character and lifestyle of those living here. NeighborhoodScout's exclusive analysis reveals that this neighborhood, above nearly every neighborhood in America, has a greater percentage of its residents living alone: 76.9%. This is a higher percent living alone than we found in 99.9% of all U.S. neighborhoods. Often residents who live alone are new arrivals to an area who are single, and often senior citizens who have lost a spouse.
Modes of Transportation
Our research revealed that more commuters here take the bus to work (21.1% ride the bus) than 98.8% of all American neighborhoods. If you like the idea of leaving your car and home and hopping the bus to work, this might be a good neighborhood for you to consider.
Real Estate
One of the really unique and interesting things about the look and setting of the McPherson neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 84.1% of the residential real estate here is classified as such. This puts this neighborhood on the map as having a higher proportion of large apartment buildings than 97.3% of all neighborhoods in America.
In addition, the McPherson neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 88.0% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the McPherson neighborhood buck this trend. 30.6% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 97.2% of U.S. neighborhoods.
Occupations
From major sales accounts to fast-food workers, sales and service employees are often the backbone of the local economy. In the McPherson neighborhood, they truly stand out. NeighborhoodScout's exclusive analysis identifies this neighborhood as having a higher percentage of sales and service workers than 97.2% of all American neighborhoods.
Diversity
Did you know that the McPherson neighborhood has more Hungarian and African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.3% of this neighborhood's residents have Hungarian ancestry and 6.3% have African ancestry.
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 McPherson neighborhood in Dayton are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 97.1% 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.
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 McPherson neighborhood, 41.3% 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 33.9% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (12.9%), and 11.1% in manufacturing and laborer occupations.
Languages
The most common language spoken in the McPherson neighborhood is English, spoken by 97.0% of households.
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 McPherson neighborhood in Dayton, OH, residents most commonly identify their ethnicity or ancestry as Irish (17.9%). There are also a number of people of German ancestry (16.9%), and residents who report English roots (11.6%), and some of the residents are also of Sub-Saharan African ancestry (6.3%), along with some African ancestry residents (6.3%), 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 McPherson neighborhood spend between 15 and 30 minutes commuting one-way to work (45.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (57.7%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (21.1%) and 6.7% of residents also carpool with coworkers, friends, or neighbors for their daily commute. 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.
