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.
Shively median real estate price is $233,725, which is more expensive than 57.8% of the neighborhoods in West Virginia and 26.3% of the neighborhoods in the U.S.
The average rental price in Shively is currently $1,278, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 50.7% of West Virginia neighborhoods.
Shively is a remote neighborhood (based on population density) located in Chapmanville, West Virginia.
Shively 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 Shively neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1940 and 1969.
Vacant apartments or homes are a major fact of life in Shively. The current real estate vacancy rate here is 20.2%. This is higher than the rate of vacancies in 87.9% 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
Of note is NeighborhoodScout's research finding that the Shively neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the Shively community truly stands out from the rest in this regard.
In addition, 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 Shively neighborhood may actually hold the key. 69.2% of its residents are married, which is a higher percentage than is found in 95.5% of the neighborhoods in America.
Also, the Shively 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 5.5% of family-friendly neighborhoods in the state of West Virginia. 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 Shively neighborhood stands out by having 89.7% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 97.0% of all American neighborhoods.
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 Shively neighborhood in Chapmanville are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 67.0% 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 Shively neighborhood, 38.6% 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 31.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (15.8%), and 13.7% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Shively neighborhood is English, spoken by 100.0% of households. Some people also speak Italian (3.2%).
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 Shively neighborhood in Chapmanville, WV, residents most commonly identify their ethnicity or ancestry as English (10.9%). There are also a number of people of Irish ancestry (9.2%), and residents who report German roots (2.2%).
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in Shively neighborhood spend between 15 and 30 minutes commuting one-way to work (57.3% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (89.7%) 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.
