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 Oliver is a very small borough located in the state of Pennsylvania. With a population of 3,261 people and just one neighborhood, Mount Oliver is the 448th largest community in Pennsylvania. Mount Oliver has a large stock of pre-World War II architecture, making it one of the older and more historic boroughs in the country.
Occupations and Workforce
Mount Oliver is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Mount Oliver is a borough of professionals, service providers, and sales and office workers. There are especially a lot of people living in Mount Oliver who work in food service (18.99%), sales jobs (11.29%), and management occupations (10.49%).
Also of interest is that Mount Oliver has more people living here who work in computers and math than 95% of the places in the US.
Telecommuters are a relatively large percentage of the workforce: 8.15% of people work from home. While this number may seem small overall, as a fraction of the total workforce it is high relative to the nation. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Setting & Lifestyle
One downside of living in Mount Oliver is that it can take a long time to commute to work. In Mount Oliver, the average commute to work is 30.68 minutes, which is quite a bit higher than the national average. On the other hand, local public transit is widely used in the borough, so leaving the car at home and taking transit is often a viable alternative. In addition, it is also a pedestrian-friendly borough. Many of Mount Oliver’s neighborhoods are dense enough and have amenities close enough together that people find it feasible to get around on foot.
Despite the fact that it is a small borough, Mount Oliver has quite a few people who take public transportation – mostly the bus - for their daily commute to work. This helps to fill a real need in the borough for affordable transportation.
Demographics
In terms of college education, Mount Oliver is nearly on par with the US average for all cities of 21.84%: 20.16% of adults 25 and older in Mount Oliver have a bachelor's degree or advanced degree.
The per capita income in Mount Oliver in 2022 was $23,414, which is low income relative to Pennsylvania and the nation. This equates to an annual income of $93,656 for a family of four. However, Mount Oliver contains both very wealthy and poor people as well.
Mount Oliver is an extremely ethnically-diverse borough. The people who call Mount Oliver home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mount Oliver residents report their race to be White, followed by Black or African-American. Important ancestries of people in Mount Oliver include Italian, German, Irish, Polish, and English.
The most common language spoken in Mount Oliver is English. Other important languages spoken here include Polish and Spanish.
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.
Modes of Transportation
More people ride the bus in this neighborhood each day to get to work than 99.5% of U.S. neighborhoods.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the neighborhood buck this trend. 28.1% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 96.9% of U.S. neighborhoods.
Real Estate
Do you watch 'This Old House' on Public Television? Do you love the idea of fixing up a Colonial or Victorian era home, complete with the charm of yesteryear? Do you like to stroll or drive streets lined with gracious older residences? If you found yourself nodding yes to any of these questions, you are going to be interested in this unique neighborhood. The neighborhood stands out on a national scale for the sheer concentration of historic residences it contains: 59.4% of the residential real estate here was built from 1939 or earlier, some much earlier. This is a greater concentration of historic homes than 96.5% of the neighborhoods in the United States.
Diversity
Did you know that the neighborhood has more Slovak ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.3% of this neighborhood's residents have Slovak ancestry.
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 Oliver are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 82.3% of U.S. neighborhoods. With 16.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 64.5% 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, 37.0% 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 33.0% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (22.0%), and 8.0% 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 95.7% of households. Other important languages spoken here include Polish and Spanish.
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 Oliver, PA, residents most commonly identify their ethnicity or ancestry as Italian (15.5%). There are also a number of people of German ancestry (15.2%), and residents who report Irish roots (13.2%), and some of the residents are also of Puerto Rican ancestry (2.8%), along with some Polish 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 (41.5% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (43.8%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (26.7%) and 19.6% of residents also carpool with coworkers, friends, or neighbors 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.
