This is a small community in a single neighborhood.
As throughout the site, some neighborhood-level data are reserved for subscribers.
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.
Whitesville is a tiny town located in the state of West Virginia. With a population of 337 people and just one neighborhood, Whitesville is the 224th largest community in West Virginia.
Occupations and Workforce
Whitesville is a decidedly white-collar town, with fully 93.75% of the workforce employed in white-collar jobs, well above the national average. Overall, Whitesville is a town of service providers, managers, and sales and office workers. There are especially a lot of people living in Whitesville who work in maintenance occupations (33.75%), management occupations (22.50%), and office and administrative support (12.50%).
A relatively large number of people in Whitesville telecommute to their jobs. Overall, about 11.25% of the workforce works from home. While this may seem like a small number, as a fraction of the total workforce it ranks among the highest in the country. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Setting & Lifestyle
The town is relatively quiet, having a combination of lower population density and few of those groups of people who have a tendency to be noisy. For example, Whitesville has relatively fewer families with younger children, and/or college students. Combined, this makes Whitesville a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
In Whitesville, however, the average commute to work is quite long. On average, people spend 34.96 minutes each day getting to work, which is significantly higher than the national average.
Being a small town, Whitesville does not have a public transit system used by locals to get to and from work.
Demographics
In terms of college education, Whitesville ranks among the least educated cities in the nation, as only 0.00% of people over 25 have a bachelor's degree or advanced degree.
The per capita income in Whitesville in 2022 was $24,382, which is lower middle income relative to West Virginia, and low income relative to the rest of the US. This equates to an annual income of $97,528 for a family of four. However, Whitesville contains both very wealthy and poor people as well.
The people who call Whitesville home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Whitesville residents report their race to be White. Important ancestries of people in Whitesville include Yugoslavian, Other West Indian, West Indian, U.S. Virgin Islander, and Trinidadian and Tobagonian.
The most common language spoken in Whitesville is English. Other important languages spoken here include Italian and Greek.
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.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 13.4% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than NeighborhoodScout found in 97.9% of all neighborhoods in America.
Real Estate
Vacant homes and apartments are a significant characteristic of this neighborhood. In fact, with 31.8% of the residential real estate vacant, the neighborhood claims the distinction of having a higher vacancy rate than 95.4% of the neighborhoods in America. This can either be because much of the property is seasonally occupied, like in many vacation areas, or that much of the real estate is more permanently abandoned.
In addition, this neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on NeighborhoodScout's exclusive analysis, with only 35 people per square mile living here, this neighborhood is less crowded than 91.8% of America.
Migration / Stability
Some neighborhoods have more internal cohesiveness than others. While other neighborhoods feel like a collection of strangers who just happen to live near each other. Sometimes this comes down to not only the personalities of the people in a place, but how long people have been together in that neighborhood. NeighborhoodScout's research has revealed some interesting things about the rootedness of people in the neighborhood. More residents of the neighborhood live here today that also were living in this same neighborhood five years ago than is found in 98.7% 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.
Diversity
Significantly, 0.9% 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 96.3% of the neighborhoods in America.
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 neighborhood in Whitesville are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 71.4% of U.S. neighborhoods. With 12.6% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 55.1% 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 neighborhood, 29.1% of the working population is employed in clerical, assistant, and tech support occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 28.2% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (22.4%), and 20.3% in executive, management, and professional occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 100.0% of households.
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 neighborhood in Whitesville, WV, residents most commonly identify their ethnicity or ancestry as Irish (8.9%). There are also a number of people of German ancestry (6.3%), and residents who report English roots (3.7%).
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 neighborhood spend between 45 minutes and one hour commuting one-way to work (30.2% of working residents), longer and tougher than most commutes in America.
Here most residents (87.5%) 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 (7.0%) . 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.
