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.
Klingerstown is a tiny town located in the state of Pennsylvania. With a population of 101 people and just one neighborhood, Klingerstown is the 1123rd largest community in Pennsylvania. Klingerstown has a large stock of pre-World War II architecture, making it one of the older and more historic towns in the country.
Occupations and Workforce
When you are in Klingerstown, you'll notice that it is more blue-collar than most other communities in America. 60.00% of Klingerstown’s employed work in blue-collar jobs, while America averages only 27.7% that do. Overall, Klingerstown is a town of transportation and shipping workers, production and manufacturing workers, and managers. There are especially a lot of people living in Klingerstown who work in management occupations (15.00%), maintenance occupations (7.50%), and community and social services (7.50%).
Telecommuters are a relatively large percentage of the workforce: 22.50% 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
Overall, Klingerstown’s crime rate is one of the lowest in the nation, which makes a great place to live if safety is an important concern.
Residents will find that the town is relatively quiet. This is because it is not over-populated, and it has fewer college students, renters, and young children - all of whom can be noisy at times. So, if you're looking for a relatively peaceful place to live, Klingerstown is worth considering.
Klingerstown is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
In terms of college education, Klingerstown is substantially better educated than the typical community in the nation, which has 21.84% of the adults holding a bachelor's degree or graduate degree: 30.99% of adults in Klingerstown have a college degree.
The per capita income in Klingerstown in 2022 was $28,262, 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 $113,048 for a family of four. However, Klingerstown contains both very wealthy and poor people as well.
The people who call Klingerstown home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Klingerstown residents report their race to be White. Important ancestries of people in Klingerstown include German, English, Italian, Polish, and Dutch.
The most common language spoken in Klingerstown is English. Other important languages spoken here include Italian and Polish.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Klingerstown, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Occupations
It used to be that most Americans lived on the farm, or otherwise made their living from the land, the forests, or the sea. With global trade and an economy increasingly based on providing services to one another, fewer people farm, fish or harvest timber now than at any time in American history. But according to NeighborhoodScout's leading analysis, the neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 3.7% of the workforce so employed, this neighborhood has a greater concentration of such workers than 95.4% of U.S. neighborhoods.
Real Estate
This neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on NeighborhoodScout's exclusive analysis, with only 42 people per square mile living here, this neighborhood is less crowded than 90.7% of America.
Diversity
Did you know that the neighborhood has more German and Lithuanian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 46.7% of this neighborhood's residents have German ancestry and 1.1% have Lithuanian ancestry.
is also pretty special linguistically. Significantly, 2.6% 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 97.6% 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 Klingerstown are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 40.2% of the neighborhoods in America. In addition, 4.5% 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 65.6% 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, 37.4% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 30.8% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (15.0%), and 13.2% 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 95.8% of households. Other important languages spoken here include Italian, Polish 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 Klingerstown, PA, residents most commonly identify their ethnicity or ancestry as German (46.7%). There are also a number of people of Irish ancestry (11.0%), and residents who report Italian roots (6.6%), and some of the residents are also of English ancestry (5.4%), along with some Polish ancestry residents (3.6%), 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 (33.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (79.8%) 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 (10.4%) . 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.
