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.
East Mountain median real estate price is $256,830, which is less expensive than 91.8% of Connecticut neighborhoods and 70.1% of all U.S. neighborhoods.
The average rental price in East Mountain is currently $2,209, based on Ä¢¹½ÊÓƵ's exclusive analysis. Rents here are currently lower in price than 62.1% of Connecticut neighborhoods.
East Mountain is a suburban neighborhood (based on population density) located in Waterbury, Connecticut.
East Mountain real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes 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 East Mountain neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Home and apartment vacancy rates are 6.5% in East Mountain. Ä¢¹½ÊÓƵ analysis shows that this rate is lower than 55.6% 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 Ä¢¹½ÊÓƵ's exclusive exploration and analysis.
Modes of Transportation
In the East Mountain neighborhood, carpooling is still a popular way to get to and from work. Ä¢¹½ÊÓƵ's analysis reveals that 24.2% of commuters carpool here, which is more than in 96.5% of all U.S. neighborhoods.
People
Astoundingly, the East Mountain neighborhood has one of the highest concentrations of divorcees living here than of any neighborhood, a higher concentration than Ä¢¹½ÊÓƵ found in 95.9% of U.S. neighborhoods. This may be because people living here divorce more often than others, or that divorced people move here after they become divorced. If you are divorced, you will be in good company in this particular Waterbury neighborhood.
Diversity
Did you know that the East Mountain neighborhood has more Puerto Rican and Brazilian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 19.0% of this neighborhood's residents have Puerto Rican ancestry and 2.2% have Brazilian ancestry.
East Mountain is also pretty special linguistically. Significantly, 4.1% 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 98.1% 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 East Mountain neighborhood in Waterbury are lower-middle income, making it a below average income neighborhood. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 81.3% of U.S. neighborhoods. With 37.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 87.8% 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 East Mountain neighborhood, 53.0% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 19.8% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (14.0%), and 12.3% in manufacturing and laborer 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 East Mountain neighborhood is English, spoken by 61.7% of households. Other important languages spoken here include Spanish and African languages.
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the East Mountain neighborhood in Waterbury, CT, residents most commonly identify their ethnicity or ancestry as Puerto Rican (19.0%). There are also a number of people of Italian ancestry (10.8%), and residents who report Irish roots (7.7%), and some of the residents are also of Asian ancestry (7.5%), along with some South American ancestry residents (4.4%), among others. In addition, 20.6% of the residents of this neighborhood were born in another country.
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 East Mountain neighborhood spend between 15 and 30 minutes commuting one-way to work (39.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (66.8%) 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 (24.2%) . 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.
