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.
Duncannon is a very small borough located in the state of Pennsylvania. With a population of 1,465 people and just one neighborhood, Duncannon is the 731st largest community in Pennsylvania. Much of the housing stock in Duncannon was built prior to World War II, making it one of the older and more historic boroughs in the country.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Duncannon is generally considered to be a blue-collar town. 36.07% of the Duncannon workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Duncannon is a borough of sales and office workers, transportation and shipping workers, and service providers. There are especially a lot of people living in Duncannon who work in office and administrative support (15.25%), sales jobs (11.54%), and business and financial occupations (5.70%).
Also of interest is that Duncannon has more people living here who work in computers and math than 95% of the places in the US.
Setting & Lifestyle
In Duncannon, however, the average commute to work is quite long. On average, people spend 31.23 minutes each day getting to work, which is significantly higher than the national average. However, the borough is also quite pedestrian-friendly, because many neighborhoods are very dense and have amenities close enough together that people find it feasible to get around on foot.
Demographics
The percentage of people in Duncannon with college degrees is quite a bit lower than the national average for cities and towns of 21.84%: just 12.72% of people over 25 have a bachelor's degree or advanced degree.
The per capita income in Duncannon in 2018 was $31,870, which is middle income relative to Pennsylvania and the nation. This equates to an annual income of $127,480 for a family of four. However, Duncannon contains both very wealthy and poor people as well.
Duncannon is a somewhat ethnically-diverse borough. The people who call Duncannon home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Duncannon residents report their race to be White, followed by Black or African-American. Important ancestries of people in Duncannon include German, Irish, Scots-Irish, English, and Pennsylvania German.
The most common language spoken in Duncannon is English. Other important languages spoken here include Langs. of India 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 Duncannon, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Diversity
Did you know that the neighborhood has more Scots-Irish and German ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 4.3% of this neighborhood's residents have Scots-Irish ancestry and 40.5% have German ancestry.
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 Duncannon are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 41.3% of the neighborhoods in America. In addition, 4.0% 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 67.9% of America'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, 33.4% 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 29.6% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (20.4%), and 16.3% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.3% of households. Some people also speak Polish (2.5%).
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 Duncannon, PA, residents most commonly identify their ethnicity or ancestry as German (40.5%). There are also a number of people of Irish ancestry (12.3%), and residents who report English roots (9.9%), and some of the residents are also of Scottish ancestry (5.2%), along with some Scots-Irish ancestry residents (4.3%), 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 30 and 45 minutes commuting one-way to work (45.6% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (83.0%) 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 (5.4%) . 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.
