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?
Ä¢¹½ÊÓƵ® 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. Ä¢¹½ÊÓƵ 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.
Marlinton is a tiny town located in the state of West Virginia. With a population of 969 people and just one neighborhood, Marlinton is the 157th largest community in West Virginia.
Occupations and Workforce
Unlike some towns, Marlinton isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Marlinton are a mix of both white- and blue-collar jobs. Overall, Marlinton is a town of sales and office workers, managers, and service providers. There are especially a lot of people living in Marlinton who work in management occupations (14.55%), office and administrative support (11.90%), and sales jobs (10.05%).
Of important note, Marlinton is also a town of artists. Marlinton has more artists, designers and people working in media than 90% of the communities in America. This concentration of artists helps shape Marlinton’s character.
Setting & Lifestyle
Marlinton is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
The population of Marlinton overall has a level of education that is slightly above the US average for all US cities and towns of 21.84%. Of adults 25 and older in Marlinton, 21.23% have at least a bachelor's degree.
The per capita income in Marlinton in 2022 was $23,870, 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 $95,480 for a family of four. However, Marlinton contains both very wealthy and poor people as well.
The people who call Marlinton home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Marlinton residents report their race to be White, followed by Black or African-American. Important ancestries of people in Marlinton include Irish, European, English, Italian, and German.
The most common language spoken in Marlinton is English. Other important languages spoken here include Polish and Spanish.
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 Ä¢¹½ÊÓƵ's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
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 10 residents per square mile, is less crowded than 97.2% of all U.S. neighborhoods. One of the notable things about is that it is one of the quietest neighborhoods in America, according to Ä¢¹½ÊÓƵ's exclusive analysis and quantitative rating of quietness. When you are here, you will find it to be very quiet. If quiet and peaceful are your cup of tea, you may have found a great place for you.
In addition, vacant homes and apartments are a significant characteristic of this neighborhood. In fact, with 38.1% of the residential real estate vacant, the neighborhood claims the distinction of having a higher vacancy rate than 97.3% 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.
People
One of the most interesting things about the neighborhood is that it has a greater concentration of residents who live alone than most all neighborhoods in America. With 56.1% of the households here made up of people living alone, Ä¢¹½ÊÓƵ's research reveals that this is a larger proportion of people living alone than in 97.9% of the neighborhoods in America.
In addition, the neighborhood stands out for having an average per capita income lower than 97.0% of the neighborhoods in the United States. Also of note, 63.4% of the children in this area live in poverty; an extraordinarily high percentage compared to other neighborhoods in the nation. In a nation where approximately one in four children grows up in poverty, this neighborhood stands out for the depth of the problem manifested here.
Occupations
The neighborhood has a greater proportion of government workers living in it than 96.8% of the neighborhoods in America, according to Ä¢¹½ÊÓƵ's exclusive analysis. This is a unique feature of this neighborhood, and one that shapes its character.
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 Ä¢¹½ÊÓƵ's analysis. Residents of the neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 60.7% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than Ä¢¹½ÊÓƵ found in 96.3% of U.S. neighborhoods. Less time commuting means more time for other things in life.
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 neighborhood in Marlinton are low income, making it among the lowest income neighborhoods in America. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 97.0% of U.S. neighborhoods. With 63.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 97.7% of U.S. neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the neighborhood, 31.0% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 24.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (23.6%), and 20.4% in executive, management, and professional occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.9% of households. Some people also speak Italian (2.2%).
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 neighborhood in Marlinton, WV, residents most commonly identify their ethnicity or ancestry as Irish (13.0%). There are also a number of people of English ancestry (10.3%), and residents who report German roots (6.6%), and some of the residents are also of Dutch ancestry (3.0%), along with some Scottish ancestry residents (2.6%), 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 neighborhood spend under 15 minutes commuting one-way to work (60.7% of working residents), one of the shortest commutes across America.
Here most residents (71.7%) 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 (20.6%) . 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.
