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?
Ä¢¹½ÊÓƵ® 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. Ä¢¹½ÊÓƵ 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.
Blain is a tiny borough located in the state of Pennsylvania. With a population of 228 people and just one neighborhood, Blain is the 1079th largest community in Pennsylvania. Blain has an unusually large stock of pre-World War II architecture, making it one of the older and more historic boroughs.
Occupations and Workforce
Unlike some boroughs, Blain isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Blain are a mix of both white- and blue-collar jobs. Overall, Blain is a borough of sales and office workers, professionals, and construction workers and builders. There are especially a lot of people living in Blain who work in office and administrative support (23.38%), sales jobs (20.13%), and teaching (8.44%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 7.84% 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
Blain’s overall crime rate ranks among the lowest in the nation, making it a very safe place to live.
As is often the case in a small borough, Blain doesn't have a public transportation system that people use for their commute.
Demographics
The citizens of Blain are slightly less educated than the national average of 21.84% for the average city or town: 13.33% of adults in Blain have a bachelor's degree or advanced degree
The per capita income in Blain in 2022 was $31,868, which is lower middle income relative to Pennsylvania, and middle income relative to the rest of the US. This equates to an annual income of $127,472 for a family of four.
The people who call Blain home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Blain residents report their race to be White, followed by Asian. Important ancestries of people in Blain include German, Irish, European, Italian, and Dutch.
The most common language spoken in Blain is English. Other important languages spoken here include Italian and German/Yiddish.
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 Ä¢¹½ÊÓƵ's exclusive exploration and analysis.
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 Ä¢¹½ÊÓƵ's leading analysis, the neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 8.6% of the workforce so employed, this neighborhood has a greater concentration of such workers than 98.8% of U.S. neighborhoods.
Real Estate
Vacant homes and apartments are a significant characteristic of this neighborhood. In fact, with 31.8% of the residential real estate vacant, the neighborhood claims the distinction of having a higher vacancy rate than 95.8% 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, uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 21 residents per square mile, is less crowded than 94.5% of all U.S. neighborhoods.
People
The neighborhood is a great option for families, as revealed by Ä¢¹½ÊÓƵ's research on this neighborhood. The combination of top public schools, low crime rates, and owner-occupied single family homes, make this neighborhood among the top 7.7% of family-friendly neighborhoods in the state of Pennsylvania. Many other families also live here, making it easy to socialize and develop a sense of community. In addition, families here highly value education, as is reflected by the strength of the local schools.
Diversity
Did you know that the neighborhood has more Swiss and German ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.8% of this neighborhood's residents have Swiss ancestry and 35.5% have German ancestry.
is also pretty special linguistically. Significantly, 13.4% 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 99.7% of the neighborhoods in America.
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 Blain are middle-income, making it a moderate income neighborhood. Ä¢¹½ÊÓƵ's exclusive analysis reveals that this neighborhood has a higher income than 49.6% of the neighborhoods in America. With 14.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 59.7% of U.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, 34.4% 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 29.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (14.7%), and 12.4% in clerical, assistant, and tech support occupations.
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 83.2% of households. Other important languages spoken here include German/Yiddish, Spanish and Italian.
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 Blain, PA, residents most commonly identify their ethnicity or ancestry as German (35.5%). There are also a number of people of English ancestry (10.6%), and residents who report Irish roots (8.9%), and some of the residents are also of Scottish ancestry (3.9%), along with some Italian ancestry residents (2.2%), 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 45 minutes and one hour commuting one-way to work (30.2% of working residents), longer and tougher than most commutes in America.
Here most residents (60.1%) 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 (19.7%) . 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.
