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.
Drexel South median real estate price is $95,944, which is less expensive than 90.3% of Ohio neighborhoods and 95.8% of all U.S. neighborhoods.
The average rental price in Drexel South is currently $1,248, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 72.8% of Ohio neighborhoods.
Drexel South is a rural neighborhood (based on population density) located in Dayton, Ohio.
Drexel South 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 Drexel South neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 9.6% in Drexel South. NeighborhoodScout analysis shows that this rate is lower than 40.2% of the neighborhoods in the nation, approximately near the middle range for vacancies.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Occupations
More people work in manufacturing and as laborers here in the Drexel South neighborhood than in 99.7% of the neighborhoods in America. Despite the loss of manufacturing jobs across the nation, this neighborhood remains a place where, compared to other parts of the country, you will find many laborers and manufacturers.
People
One of the unique characteristics of the Drexel South neighborhood revealed by analysis is that the per capita income of residents here is lower than that found in 96.2% of the neighborhoods in America.
In addition, there is an especially high percentage of incarcerated people (0.7%) living in the Drexel South neighborhood.
Diversity
Significantly, 1.8% of its residents five years old and above primarily speak Greek at home. While this may seem like a small percentage, it is higher than 98.9% of the neighborhoods in America.
Migration / Stability
Do you like to be surrounded by people from all over the country or world, with different perspectives and life experiences? Or do you instead prefer to be in a neighborhood where most residents have lived there for a long time, creating a sense of cohesiveness? NeighborhoodScout's analysis reveals that this neighborhood stands out among American neighborhoods for the uniqueness of the mobility of its residents. More residents of the Drexel South neighborhood live here today that also were living in this same neighborhood five years ago than is found in 96.3% of U.S. neighborhoods. This neighborhood is really made up of people who know each other, don't move often, and have lived here in this very neighborhood for quite a while.
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 Drexel South 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 96.2% of U.S. neighborhoods. With 24.6% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 75.1% 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 Drexel South neighborhood, 57.1% 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 20.7% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (12.0%), and 10.2% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The most common language spoken in the Drexel South neighborhood is English, spoken by 99.5% of households.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Drexel South neighborhood in Dayton, OH, residents most commonly identify their ethnicity or ancestry as English (4.8%). There are also a number of people of German ancestry (4.6%), and residents who report Irish roots (2.3%).
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 Drexel South neighborhood spend between 15 and 30 minutes commuting one-way to work (41.2% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (87.1%) 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 (12.9%) . 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.
