This is a small community in a single neighborhood.
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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. Much of the housing stock in Mount Oliver was built prior to World War II, making it one of the older and more historic boroughs in the country.
Occupations and Workforce
Unlike some boroughs where white-collar or blue-collar occupations dominate the local economy, Mount Oliver is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-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.
One interesting thing about the economy is that relatively large numbers of people worked from their home: 8.15% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. 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.
Mount Oliver, even though it is a small borough, has many people who use public transportation every day to get to and from work. This is a great benefit for people in the, borough who have a need for low-cost 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
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to NeighborhoodScout's exclusive exploration and analysis.
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.
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, 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 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 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
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 (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.
