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 Pocono is a very small borough located in the state of Pennsylvania. With a population of 614 people and just one neighborhood, Mount Pocono is the 482nd largest community in Pennsylvania.
Occupations and Workforce
Unlike some boroughs where white-collar or blue-collar occupations dominate the local economy, Mount Pocono is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Mount Pocono is a borough of sales and office workers, professionals, and service providers. There are especially a lot of people living in Mount Pocono who work in office and administrative support (20.55%), food service (7.84%), and management occupations (7.58%).
Also of interest is that Mount Pocono has more people living here who work in computers and math than 95% of the places in the US.
A relatively large number of people in Mount Pocono telecommute to their jobs. Overall, about 8.04% of the workforce works from home. While this may seem like a small number, as a fraction of the total workforce it ranks among the highest in the country. 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
The borough 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, Mount Pocono has relatively fewer families with younger children, and/or college students. Combined, this makes Mount Pocono a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
One downside of living in Mount Pocono, however, is that residents on average have to contend with a long commute, spending on average 37.82 minutes every day commuting to work.
Demographics
The citizens of Mount Pocono are slightly better educated than the national average of 21.84% for all cities and towns, with 22.65% of adults in Mount Pocono having a bachelor's degree or advanced degree.
The per capita income in Mount Pocono in 2022 was $33,689, which is middle income relative to Pennsylvania and the nation. This equates to an annual income of $134,756 for a family of four. However, Mount Pocono contains both very wealthy and poor people as well.
Mount Pocono is an extremely ethnically-diverse borough. The people who call Mount Pocono home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mount Pocono residents report their race to be White, followed by Black or African-American. Mount Pocono also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 33.15% of the borough’s residents. Important ancestries of people in Mount Pocono include German, Irish, Italian, Polish, and European.
Mount Pocono also has a high percentage of its population that was born in another country: 19.46%.
The most common language spoken in Mount Pocono is English. Other important languages spoken here include Spanish and German/Yiddish.
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.
People
In a nation where 1 out of every 4 children lives in poverty, the neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 28.8% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than NeighborhoodScout found in 99.9% of all neighborhoods in America.
Modes of Transportation
Our research shows that more people carpool to work here in the (29.5%) than in 98.7% of the neighborhoods in America.
Diversity
Did you know that the neighborhood has more Puerto Rican and Dominican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 12.7% of this neighborhood's residents have Puerto Rican ancestry and 4.6% have Dominican ancestry.
is also pretty special linguistically. Significantly, 3.4% of its residents five years old and above primarily speak German/Yiddish at home. While this may seem like a small percentage, it is higher than 98.4% 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 Mount Pocono are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 60.5% of the neighborhoods in America. In addition, 0.0% 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 100.0% of America's neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the neighborhood, 32.0% 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 29.3% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (21.6%), and 17.1% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
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 60.6% of households. Other important languages spoken here include Spanish and German/Yiddish.
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 Pocono, PA, residents most commonly identify their ethnicity or ancestry as German (14.9%). There are also a number of people of Puerto Rican ancestry (12.7%), and residents who report Irish roots (7.5%), and some of the residents are also of Italian ancestry (6.7%), along with some Asian ancestry residents (6.0%), among others. In addition, 19.5% of the residents of this neighborhood were born in another country.
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 (33.8% of working residents), which is shorter than the time spent commuting to work for most Americans. However, there is also a significant group of residents (28.8%) who commute over an hour in each direction.
Here most residents (60.4%) 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 (29.5%) . 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.
