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.
Switzer is a tiny town located in the state of West Virginia. With a population of 593 people and just one neighborhood, Switzer is the 186th largest community in West Virginia.
Occupations and Workforce
Switzer is a blue-collar town, with 45.71% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Switzer is a town of sales and office workers, transportation and shipping workers, and production and manufacturing workers. There are especially a lot of people living in Switzer who work in office and administrative support (54.29%), sales jobs (0.00%), and personal care services (0.00%).
Setting & Lifestyle
Residents will find that the town is relatively quiet. This is because it is not over-populated, and it has fewer college students, renters, and young children - all of whom can be noisy at times. So, if you're looking for a relatively peaceful place to live, Switzer is worth considering.
Switzer is a very car-oriented town. 100.00% of residents commute to work in a private automobile rather than by other means, such as public transit, bicycling, or walking. This is because Switzer is a small town , and most people who live here have to drive out of town for work, and the town population is not large nor dense enough to support an extensive public transportation system. Switzer has a lot of rural roads, and houses can be far apart. Many residents drive out of town for regular shopping trips as well.
As is often the case in a small town, Switzer doesn't have a public transportation system that people use for their commute.
Demographics
The citizens of Switzer have a very low rate of college education: just 7.55% of people over 25 have a bachelor's degree or advanced degree, compared to a national average of 21.84% for all cities.
The per capita income in Switzer in 2018 was $15,826, which is low income relative to West Virginia and the nation. This equates to an annual income of $63,304 for a family of four.
The people who call Switzer home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Switzer residents report their race to be White. Important ancestries of people in Switzer include Irish, German, Syrian, Yugoslavian, and Other West Indian.
The most common language spoken in Switzer is English. Other important languages spoken here include Italian and African languages.
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 Switzer, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Modes of Transportation
While most Americans do drive to work alone each day, the neighborhood stands out by having 92.0% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 97.5% of all American neighborhoods.
People
Divorcees may find friendship and understanding in this neighborhood, as 20.7% of its residents are divorced. NeighborhoodScout's exclusive analysis found that this divorce rate is higher than in 96.2% 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 Switzer are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 87.6% of U.S. neighborhoods. With 45.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 91.6% 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, 33.2% of the working population is employed in manufacturing and laborer 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 26.3% of the residents employed. Other residents here are employed in executive, management, and professional occupations (21.5%), and 19.0% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.8% of households. Some people also speak Italian (3.5%).
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 Switzer, WV, residents most commonly identify their ethnicity or ancestry as Irish (16.7%). There are also a number of people of German ancestry (12.8%), and residents who report English roots (4.1%), and some of the residents are also of Italian ancestry (2.6%), along with some Spanish ancestry residents (2.0%), 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 neighborhood spend under 15 minutes commuting one-way to work (37.1% of working residents), one of the shortest commutes across America.
Here most residents (92.0%) 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.
