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.
Danielson median real estate price is $332,442, which is less expensive than 72.0% of Connecticut neighborhoods and 55.8% of all U.S. neighborhoods.
The average rental price in Danielson is currently $2,380, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 53.4% of Connecticut neighborhoods.
Danielson is a suburban neighborhood (based on population density) located in Killingly, Connecticut.
Danielson real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Danielson neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Danielson has a 10.4% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 63.5% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
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
Divorcees may find friendship and understanding in this neighborhood, as 19.7% of its residents are divorced. NeighborhoodScout's exclusive analysis found that this divorce rate is higher than in 95.1% of the neighborhoods in America.
In addition, with a nice mix of college students, safety from crime, and decent walkability, the Danielson neighborhood rates highly as a college student friendly place to live, and one that college students and their parents may want to consider. NeighborhoodScout's analysis shows that it rates more highly for a good place for college students to live than 88.3% of the neighborhoods in CT. This often also means that the area has certain amenities and services geared towards college students, from undergraduates to graduate students.
Diversity
Did you know that the Danielson neighborhood has more Ukrainian and French Canadian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.8% of this neighborhood's residents have Ukrainian ancestry and 7.2% have French Canadian ancestry.
Danielson is also pretty special linguistically. Significantly, 3.1% of its residents five years old and above primarily speak Greek 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 Danielson neighborhood in Killingly are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 55.5% of the neighborhoods in America. With 34.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 85.5% 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 Danielson neighborhood, 30.9% 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 26.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (23.2%), and 19.5% 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 Danielson neighborhood is English, spoken by 86.2% of households. Other important languages spoken here include Italian, Spanish and Greek.
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 Danielson neighborhood in Killingly, CT, residents most commonly identify their ethnicity or ancestry as Irish (14.3%). There are also a number of people of French ancestry (11.2%), and residents who report Puerto Rican roots (10.3%), and some of the residents are also of Italian ancestry (9.1%), along with some South American ancestry residents (8.1%), among others.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in Danielson neighborhood spend under 15 minutes commuting one-way to work (30.0% of working residents), one of the shortest commutes across America.
Here most residents (82.8%) 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 (10.1%) . 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.
