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.
Stevens / Thaddeus Stevens College of Technology median real estate price is $239,049, which is less expensive than 63.4% of Pennsylvania neighborhoods and 72.9% of all U.S. neighborhoods.
The average rental price in Stevens / Thaddeus Stevens College of Technology is currently $1,500, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 64.9% of Pennsylvania neighborhoods.
Stevens / Thaddeus Stevens College of Technology is a densely urban neighborhood (based on population density) located in Lancaster, Pennsylvania.
Stevens / Thaddeus Stevens College of Technology real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) townhomes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Stevens / Thaddeus Stevens College of Technology neighborhood are relatively historic, built no later than 1939, and in some cases, quite a bit earlier. A number of residences were also built between 1940 and 1969.
Home and apartment vacancy rates are 6.2% in Stevens / Thaddeus Stevens College of Technology. NeighborhoodScout analysis shows that this rate is lower than 57.2% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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.
Real Estate
If you love row houses and attached homes, you will probably really like the Stevens / Thaddeus Stevens College of Technology neighborhood. The ambiance, the charm, of row houses is something special. And in sheer abundance of row houses, this neighborhood truly stands out. The real estate here has a higher proportion of row houses and attached homes than nearly any neighborhood in America. In fact, 52.2% of the residential real estate here is classified as row houses and attached homes.
Modes of Transportation
In the Stevens / Thaddeus Stevens College of Technology neighborhood, walking to work is a real option for many. In fact, NeighborhoodScout's exclusive research reveals walking to and from work is the chosen way to commute for 14.3% of residents here. This is a higher proportion of walking commuters than we found in 97.0% of American neighborhoods. Get ready to put on your walking shoes if you move here!
People
An extraordinary 14.4% of the residents of the Stevens / Thaddeus Stevens College of Technology neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
In addition, one of the really interesting characteristics about the Stevens / Thaddeus Stevens College of Technology neighborhood is that, according to NeighborhoodScout's exclusive research, it is an excellent choice in which to reside for college students. Due to its popularity among college students who already choose to live here, its walkability, and its above average safety from crime, the neighborhood is ideal for prospective or already-enrolled college students. Between semesters and during school breaks, you'll notice that the excitement here fluctuates with the college seasons. Despite the excitement however, parents of college-age children can rest easy knowing that this neighborhood has an above average safety rating. For each of these reasons, the neighborhood is rated among the top 3.4% of college-friendly places to live in the state of Pennsylvania.
Diversity
Did you know that the Stevens / Thaddeus Stevens College of Technology neighborhood has more Puerto Rican and Dominican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 42.3% of this neighborhood's residents have Puerto Rican ancestry and 16.0% have Dominican ancestry.
Stevens / Thaddeus Stevens College of Technology is also pretty special linguistically. Significantly, 2.0% of its residents five years old and above primarily speak African languages at home. While this may seem like a small percentage, it is higher than 95.2% 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 Stevens / Thaddeus Stevens College of Technology neighborhood in Lancaster are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 88.5% of U.S. neighborhoods. With 51.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 94.6% 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 Stevens / Thaddeus Stevens College of Technology neighborhood, 36.8% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 25.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (22.1%), and 13.8% 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 Stevens / Thaddeus Stevens College of Technology neighborhood is Spanish, spoken by 47.4% of households. Other important languages spoken here include English 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 Stevens / Thaddeus Stevens College of Technology neighborhood in Lancaster, PA, residents most commonly identify their ethnicity or ancestry as Puerto Rican (42.3%). There are also a number of people of Dominican ancestry (16.0%), and residents who report Sub-Saharan African roots (6.5%), and some of the residents are also of German ancestry (5.3%), along with some Mexican ancestry residents (3.4%), among others. In addition, 25.2% of the residents of this neighborhood were born in another country.
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 Stevens / Thaddeus Stevens College of Technology neighborhood spend under 15 minutes commuting one-way to work (46.0% of working residents), one of the shortest commutes across America.
Here most residents (49.0%) 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 (16.6%) and 14.3% of residents also hop out the door and walk to work for their daily commute. 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.
