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.
Sheffield is a very small town located in the state of Pennsylvania. With a population of 1,011 people and just one neighborhood, Sheffield is the 829th largest community in Pennsylvania. Much of the housing stock in Sheffield was built prior to World War II, making it one of the older and more historic towns in the country.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Sheffield is generally considered to be a blue-collar town. 41.42% of the Sheffield workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Sheffield is a town of construction workers and builders, transportation and shipping workers, and sales and office workers. There are especially a lot of people living in Sheffield who work in office and administrative support (18.64%), management occupations (11.24%), and food service (10.36%).
A relatively large number of people in Sheffield telecommute to their jobs. Overall, about 12.86% 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
As is often the case in a small town, Sheffield doesn't have a public transportation system that people use for their commute.
Demographics
The rate of college-level education in Sheffield is quite a bit lower than the national average among all cities of 21.84%: just 11.30% of people here over 25 have a bachelor's degree or an advanced degree.
The per capita income in Sheffield in 2022 was $25,063, 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 $100,252 for a family of four.
The people who call Sheffield home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Sheffield residents report their race to be White, followed by Black or African-American. Important ancestries of people in Sheffield include German, Irish, Swedish, Italian, and Scots-Irish.
The most common language spoken in Sheffield is English. Other important languages spoken here include Polish and African languages.
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
Of note is NeighborhoodScout's research finding that the neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the community truly stands out from the rest in this regard.
Real Estate
Vacant homes and apartments are a significant characteristic of this neighborhood. In fact, with 50.1% of the residential real estate vacant, the neighborhood claims the distinction of having a higher vacancy rate than 98.7% of the neighborhoods in America. This can either be because much of the property is seasonally occupied, like in many vacation areas, or that much of the real estate is more permanently abandoned.
In addition, 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 19 people per square mile living here, this neighborhood is less crowded than 94.9% of America.
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 42.2% of its working residents employed in such fields, which is a higher proportion than 95.4% of American neighborhoods.
Diversity
Did you know that the neighborhood has more Czechoslovakian and Swedish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.4% of this neighborhood's residents have Czechoslovakian ancestry and 4.7% have Swedish ancestry.
is also pretty special linguistically. Significantly, 6.6% of its residents five years old and above primarily speak Polish at home. While this may seem like a small percentage, it is higher than 95.7% 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 Sheffield are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 75.1% of U.S. neighborhoods. 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, 42.2% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 24.7% of the residents employed. Other residents here are employed in executive, management, and professional occupations (20.9%), and 11.7% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.3% of households. Some people also speak Polish (6.6%).
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 Sheffield, PA, residents most commonly identify their ethnicity or ancestry as German (18.4%). There are also a number of people of Irish ancestry (14.7%), and residents who report Italian roots (9.4%), and some of the residents are also of English ancestry (6.7%), along with some Swedish ancestry residents (4.7%), 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 (38.3% of working residents), one of the shortest commutes across America.
Here most residents (76.7%) 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 (14.4%) . 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.
