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.
Mifflintown is a tiny borough located in the state of Pennsylvania. With a population of 829 people and just one neighborhood, Mifflintown is the 873rd largest community in Pennsylvania. Mifflintown 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
Mifflintown is a blue-collar town, with 51.02% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Mifflintown is a borough of service providers, production and manufacturing workers, and transportation and shipping workers. There are especially a lot of people living in Mifflintown who work in maintenance occupations (14.67%), sales jobs (4.97%), and food service (4.74%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 7.53% 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
Demographics
In Mifflintown, just 10.80% of people have at least a bachelor's degree, which is quite a bit lower than the national average for cities and towns of 21.84%.
The per capita income in Mifflintown in 2022 was $26,414, which is low income relative to Pennsylvania, and lower middle income relative to the rest of the US. This equates to an annual income of $105,656 for a family of four. However, Mifflintown contains both very wealthy and poor people as well.
Mifflintown is an extremely ethnically-diverse borough. The people who call Mifflintown home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mifflintown residents report their race to be White, followed by Asian. Mifflintown also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 38.37% of the borough’s residents. Important ancestries of people in Mifflintown include German, Irish, English, Italian, and Dutch.
Mifflintown also has a high percentage of its population that was born in another country: 21.33%.
The most common language spoken in Mifflintown is English. Other important languages spoken here include Spanish and Polish.
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.
Occupations
NeighborhoodScout's exclusive research identifies the neighborhood as having one of the highest concentrations of people employed in manufacturing or as laborers of any neighborhood in America. In fact, despite the loss of manufacturing jobs nationally, this neighborhood has 42.0% of its working residents employed in such fields, which is a higher proportion than 95.3% of American neighborhoods.
Furthermore, the neighborhood has a greater proportion of government workers living in it than 95.2% of the neighborhoods in America, according to NeighborhoodScout's exclusive analysis. This is a unique feature of this neighborhood, and one that shapes its character.
People
If you are planning to retire in Pennsylvania, this neighborhood should be on your must-see list. For many reasons, may be considered a retiree's dream neighborhood. According to NeighborhoodScout's exclusive analysis and metrics, it's peaceful and quiet, has above average safety from crime compared to other neighborhoods in Pennsylvania, while also offering a diverse range of housing options. This, along with the vibrant mix of very educated seniors and other age groups who choose to live here, makes the neighborhood more retiree-friendly than 95.1% of neighborhoods in PA. If a Pennsylvania retirement is in your future, this neighborhood should be one of the places you visit.
Diversity
Did you know that the neighborhood has more Czechoslovakian and German ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.0% of this neighborhood's residents have Czechoslovakian ancestry and 33.8% have German 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 Mifflintown are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 80.7% of U.S. neighborhoods. With 14.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 58.5% 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, 42.0% 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 31.5% of the residents employed. Other residents here are employed in government jobs, whether they are in local, state, or federal positions (12.8%), and 12.8% 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 88.6% of households. Other important languages spoken here include Spanish, Polish and Italian.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the neighborhood in Mifflintown, PA, residents most commonly identify their ethnicity or ancestry as German (33.8%). There are also a number of people of English ancestry (7.8%), and residents who report Irish roots (6.7%), and some of the residents are also of French ancestry (3.1%), along with some Scottish ancestry residents (2.4%), 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 under 15 minutes commuting one-way to work (38.0% of working residents), one of the shortest commutes across America.
Here most residents (80.2%) 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 (11.9%) . 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.
