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.
Mount Hope is a very small city located in the state of West Virginia. With a population of 1,252 people and just one neighborhood, Mount Hope is the 150th largest community in West Virginia.
Occupations and Workforce
Unlike some cities where white-collar or blue-collar occupations dominate the local economy, Mount Hope is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Mount Hope is a city of professionals, sales and office workers, and service providers. There are especially a lot of people living in Mount Hope who work in office and administrative support (12.50%), teaching (11.56%), and food service (9.91%).
Setting & Lifestyle
As is often the case in a small city, Mount Hope doesn't have a public transportation system that people use for their commute.
Demographics
The percentage of adults in Mount Hope with college degrees is slightly lower than the national average of 21.84% for all communities. 15.54% of adults in Mount Hope have a bachelor's degree or advanced degree.
The per capita income in Mount Hope in 2022 was $20,477, which is low income relative to West Virginia and the nation. This equates to an annual income of $81,908 for a family of four. However, Mount Hope contains both very wealthy and poor people as well.
Mount Hope is a somewhat ethnically-diverse city. The people who call Mount Hope home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mount Hope residents report their race to be White, followed by Black or African-American. Important ancestries of people in Mount Hope include Irish, English, German, Scottish, and Italian.
The most common language spoken in Mount Hope is English. Other important languages spoken here include Polish and Italian.
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 Hope, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
The neighborhood stands out for having an average per capita income lower than 98.2% of the neighborhoods in the United States.
In addition, there is an especially high percentage of incarcerated people (0.9%) living in the neighborhood.
Also, according to NeighborhoodScout's research, is better suited for first-time home buyers than 89.0% of neighborhoods in the state. Most homes here are priced below the state's median house value, yet maintain comparably good appreciation rates over the last decade relative to other neighborhoods in West Virginia. Along with an exclusive multi-metric measure of neighborhood quality developed by NeighborhoodScout that scores high here in this neighborhood, this means that buying into the neighborhood is not only an accessible option but considered a decent first time home buyer choice for building equity in your first home, while being in a quality neighborhood
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 Mount Hope are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 98.2% of U.S. neighborhoods. With 31.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 83.0% of U.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 neighborhood, 33.0% of the working population is employed in executive, management, and professional 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 31.1% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (23.4%), and 11.3% 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 Polish (3.7%).
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 Mount Hope, WV, residents most commonly identify their ethnicity or ancestry as Irish (14.9%). There are also a number of people of English ancestry (14.0%), and residents who report German roots (5.6%), and some of the residents are also of Scottish ancestry (3.4%), along with some Italian ancestry residents (2.5%), 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 between 15 and 30 minutes commuting one-way to work (56.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (74.3%) 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 (19.6%) . 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.
