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.
Bufkin / Erwin median real estate price is $258,902, which is more expensive than 63.3% of the neighborhoods in Indiana and 34.3% of the neighborhoods in the U.S.
The average rental price in Bufkin / Erwin is currently $1,255, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 69.2% of Indiana neighborhoods.
Bufkin / Erwin is a remote neighborhood (based on population density) located in Mount Vernon, Indiana.
Bufkin / Erwin real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and mobile homes. Most of the residential real estate is owner occupied. Many of the residences in the Bufkin / Erwin neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Bufkin / Erwin has a 11.7% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 68.2% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
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 Mount Vernon, the Bufkin / Erwin neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
Priests and therapists would like to think they know the secrets to a truly successful marriage, but according to NeighborhoodScout's research, the folks of the Bufkin / Erwin neighborhood may actually hold the key. 74.9% of its residents are married, which is a higher percentage than is found in 98.9% of the neighborhoods in America.
In addition, the Bufkin / Erwin neighborhood is a great option for families, as revealed by NeighborhoodScout's research on this neighborhood. The combination of top public schools, low crime rates, and owner-occupied single family homes, make this neighborhood among the top 9.0% of family-friendly neighborhoods in the state of Indiana. Many other families also live here, making it easy to socialize and develop a sense of community. In addition, families here highly value education, as is reflected by the strength of the local schools.
Modes of Transportation
While most Americans do drive to work alone each day, the Bufkin / Erwin neighborhood stands out by having 92.5% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 98.5% of all American neighborhoods.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 24 residents per square mile, Bufkin / Erwin is less crowded than 93.9% of all U.S. neighborhoods.
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 Bufkin / Erwin neighborhood in Mount Vernon are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 84.0% of the neighborhoods in America. With 22.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 71.8% 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 Bufkin / Erwin neighborhood, 39.4% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 30.8% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (15.6%), and 13.5% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Bufkin / Erwin neighborhood is English, spoken by 97.9% of households. Some people also speak Spanish (2.1%).
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 Bufkin / Erwin neighborhood in Mount Vernon, IN, residents most commonly identify their ethnicity or ancestry as German (27.5%). There are also a number of people of English ancestry (18.5%), and residents who report Irish roots (12.7%), and some of the residents are also of Italian ancestry (3.1%), along with some Dutch ancestry residents (3.0%), 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 Bufkin / Erwin neighborhood spend under 15 minutes commuting one-way to work (42.1% of working residents), one of the shortest commutes across America.
Here most residents (92.5%) drive alone in a private automobile to get to work. 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.
