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.
Mont Alto is a very small borough located in the state of Pennsylvania. With a population of 1,574 people and just one neighborhood, Mont Alto is the 707th largest community in Pennsylvania.
Occupations and Workforce
Unlike some boroughs where white-collar or blue-collar occupations dominate the local economy, Mont Alto is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Mont Alto is a borough of sales and office workers, service providers, and professionals. There are especially a lot of people living in Mont Alto who work in office and administrative support (19.25%), sales jobs (9.52%), and management occupations (5.35%).
Also of interest is that Mont Alto has more people living here who work in computers and math than 95% of the places in the US.
Setting & Lifestyle
Being a small borough, Mont Alto does not have a public transit system used by locals to get to and from work.
Demographics
The citizens of Mont Alto are slightly less educated than the national average of 21.84% for the average city or town: 14.68% of adults in Mont Alto have a bachelor's degree or advanced degree
The per capita income in Mont Alto in 2022 was $31,686, which is middle income relative to Pennsylvania and the nation. This equates to an annual income of $126,744 for a family of four. However, Mont Alto contains both very wealthy and poor people as well.
Mont Alto is a somewhat ethnically-diverse borough. The people who call Mont Alto home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mont Alto residents report their race to be White, followed by Asian. Important ancestries of people in Mont Alto include German, Irish, English, Italian, and European.
The most common language spoken in Mont Alto is English. Other important languages spoken here include Spanish and Italian.
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
An extraordinary 10.9% of the residents of the neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
Diversity
Did you know that the neighborhood has more German ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 33.8% of this neighborhood's residents have German ancestry.
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 Mont Alto are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 61.4% of U.S. neighborhoods. In addition, 9.0% 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 53.2% of America'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, 31.0% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 26.6% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (21.0%), and 20.8% in clerical, assistant, and tech support occupations.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the neighborhood is English, spoken by 94.4% of households. Other important languages spoken here include Italian, Spanish and Polish.
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 Mont Alto, PA, residents most commonly identify their ethnicity or ancestry as German (33.8%). There are also a number of people of Irish ancestry (10.0%), and residents who report English roots (9.4%), and some of the residents are also of Italian ancestry (6.8%), along with some Scots-Irish ancestry residents (2.8%), 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 (43.2% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (78.6%) 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 (7.2%) and 6.1% of residents also hop out the door and walk to work for their daily commute. 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.
