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.
Terra Alta is a very small town located in the state of West Virginia. With a population of 1,420 people and just one neighborhood, Terra Alta is the 135th largest community in West Virginia. Terra Alta has a large stock of pre-World War II architecture, making it one of the older and more historic towns in the country.
Occupations and Workforce
Unlike some towns where white-collar or blue-collar occupations dominate the local economy, Terra Alta is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Terra Alta is a town of service providers, sales and office workers, and construction workers and builders. There are especially a lot of people living in Terra Alta who work in food service (14.15%), office and administrative support (11.71%), and healthcare suport services (6.34%).
Setting & Lifestyle
Demographics
Terra Alta ranks among the bottom of the nation in terms of college education compared to other cities and towns: only 5.65% of people over 25 have a college degree.
The per capita income in Terra Alta in 2022 was $20,520, 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 $82,080 for a family of four. However, Terra Alta contains both very wealthy and poor people as well.
Terra Alta is a somewhat ethnically-diverse town. The people who call Terra Alta home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Terra Alta residents report their race to be White, followed by Black or African-American. Important ancestries of people in Terra Alta include German, Irish, Scottish, English, and Italian.
The most common language spoken in Terra Alta is English. Other important languages spoken here include Italian and Polish.
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 NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Occupations
It used to be that most Americans lived on the farm, or otherwise made their living from the land, the forests, or the sea. With global trade and an economy increasingly based on providing services to one another, fewer people farm, fish or harvest timber now than at any time in American history. But according to NeighborhoodScout's leading analysis, the neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 4.5% of the workforce so employed, this neighborhood has a greater concentration of such workers than 96.4% of U.S. neighborhoods.
Diversity
Significantly, 6.3% of its residents five years old and above primarily speak Italian at home. While this may seem like a small percentage, it is higher than 95.1% 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 Terra Alta are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 84.8% of U.S. neighborhoods. With 42.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 90.7% 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, 30.2% 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 27.6% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (19.4%), and 18.3% in executive, management, and professional occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 100.0% of households. Some people also speak Italian (6.3%).
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 Terra Alta, WV, residents most commonly identify their ethnicity or ancestry as German (30.4%). There are also a number of people of Irish ancestry (17.3%), and residents who report Scottish roots (2.2%), and some of the residents are also of Italian ancestry (1.9%), along with some English ancestry residents (1.4%), 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 (37.8% of working residents), one of the shortest commutes across America.
Here most residents (71.0%) 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 (19.1%) . 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.
