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.
Taylor is a somewhat small borough located in the state of Pennsylvania. With a population of 6,251 people and just one neighborhood, Taylor is the 213th largest community in Pennsylvania.
Occupations and Workforce
Unlike some boroughs where white-collar or blue-collar occupations dominate the local economy, Taylor is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Taylor is a borough of sales and office workers, professionals, and service providers. There are especially a lot of people living in Taylor who work in office and administrative support (17.60%), sales jobs (10.01%), and healthcare suport services (8.57%).
Setting & Lifestyle
Demographics
The education level of Taylor citizens is a little higher than the average for US cities and towns: 21.36% of adults in Taylor have at least a bachelor's degree.
The per capita income in Taylor in 2022 was $31,708, which is middle income relative to Pennsylvania and the nation. This equates to an annual income of $126,832 for a family of four. However, Taylor contains both very wealthy and poor people as well.
Taylor is a very ethnically-diverse borough. The people who call Taylor home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Taylor residents report their race to be White, followed by Black or African-American. Taylor also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 15.29% of the borough’s residents. Important ancestries of people in Taylor include Irish, German, Polish, Italian, and Welsh.
The most common language spoken in Taylor is English. Other important languages spoken here include Polish and Spanish.
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 Taylor, 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 Welsh and Lithuanian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 12.3% of this neighborhood's residents have Welsh ancestry and 3.2% have Lithuanian ancestry.
is also pretty special linguistically. Significantly, 27.8% 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 99.9% 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 Taylor are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 69.5% of U.S. neighborhoods. With 38.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 88.0% 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, 29.3% 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 27.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (26.2%), 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 91.7% of households. Other important languages spoken here include Polish and Spanish.
Ethnicity / Ancestry
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the neighborhood in Taylor, PA, residents most commonly identify their ethnicity or ancestry as Irish (20.6%). There are also a number of people of German ancestry (18.2%), and residents who report Polish roots (18.2%), and some of the residents are also of Italian ancestry (12.3%), along with some Welsh ancestry residents (12.3%), 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 15 and 30 minutes commuting one-way to work (40.2% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (77.5%) 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 (10.7%) . 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.
