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.
Bruno is a tiny town located in the state of West Virginia. With a population of 483 people and just one neighborhood, Bruno is the 201st largest community in West Virginia.
Occupations and Workforce
Bruno is a blue-collar town, with 78.24% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Bruno is a town of construction workers and builders, transportation and shipping workers, and professionals. There are especially a lot of people living in Bruno who work in healthcare (8.29%), business and financial occupations (7.25%), and food service (3.11%).
Setting & Lifestyle
Overall, Bruno’s crime rate is one of the lowest in the nation, which makes a great place to live if safety is an important concern.
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, Bruno has relatively fewer families with younger children, and/or college students. Combined, this makes Bruno a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
One downside of living in Bruno is that it can take a long time to commute to work. In Bruno, the average commute to work is 49.08 minutes, which is quite a bit higher than the national average.
Bruno 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
In Bruno, just 6.38% of people over 25 hold a college degree, which is very low compared to the rest of the nation, whereas the average among all cities is 21.84%.
The per capita income in Bruno in 2022 was $32,757, which is upper middle income relative to West Virginia, and middle income relative to the rest of the US. This equates to an annual income of $131,028 for a family of four.
The people who call Bruno home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Bruno residents report their race to be White. Important ancestries of people in Bruno include Irish, Hungarian, English, German, and Dutch.
The most common language spoken in Bruno is English. Other important languages spoken here include Italian and Pacific Island languages.
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.
People
If you're planning where to retire, the neighborhood in Bruno is a great option to consider. According to NeighborhoodScout's exclusive retirement dream area analysis, it's peaceful and quiet, has above average safety ratings compared to other neighborhoods in WV, offers a wide range of housing options, and has already attracted an enviable mix of college educated seniors. This neighborhood ranks as better for retirement living than 86.1% of the neighborhoods in West Virginia. If you are considering retiring to West Virginia, this is a good neighborhood to look at.
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 Bruno are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 71.7% of U.S. neighborhoods. In addition, 4.8% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 64.8% of America'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, 39.8% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 28.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (23.8%), and 8.0% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.7% of households. Some people also speak Italian (3.0%).
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 Bruno, WV, residents most commonly identify their ethnicity or ancestry as English (9.6%). There are also a number of people of German ancestry (8.5%), and residents who report Irish roots (7.0%), and some of the residents are also of French ancestry (2.1%), along with some Polish ancestry residents (1.4%), among others.
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 15 and 30 minutes commuting one-way to work (43.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (86.7%) 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 (10.6%) . 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.
