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.
Chelsea Cove / Sylvan Lake median real estate price is $441,037, which is more expensive than 35.4% of the neighborhoods in New York and 58.0% of the neighborhoods in the U.S.
The average rental price in Chelsea Cove / Sylvan Lake is currently $3,312, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 42.9% of New York neighborhoods.
Chelsea Cove / Sylvan Lake is a rural neighborhood (based on population density) located in Hopewell Junction, New York.
Chelsea Cove / Sylvan Lake real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Chelsea Cove / Sylvan Lake neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Vacant apartments or homes are a major fact of life in Chelsea Cove / Sylvan Lake. The current real estate vacancy rate here is 16.4%. This is higher than the rate of vacancies in 80.9% of all U.S. neighborhoods. A relatively large percentage of housing here is seasonally occupied (10.2%). This can occur in vacation areas, and occasionally it is also found in neighborhoods that are primarily filled with college students, as some apartments could be vacant when school is not in session. If you live here year round, you may find that a number of buildings in your neighborhood are actually empty.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
People
If you're looking for a great spot to raise a family, then look no further than the Chelsea Cove / Sylvan Lake neighborhood. NeighborhoodScout's analysis found that the combination of good quality public schools, above-average safety from crime, and a high rate of home ownership in predominantly single-family homes, help make this neighborhood among the top 10.8% of family-friendly neighborhoods across the state of New York. In addition, there are a high proportion of other families with school-aged children living here, making it easy for parents and their children to socialize and develop a sense of community support. In addition, families here highly value education, as is reflected by the strength of the local schools, in part due to the educational attainment of the parents here, who vote in support of the public schools.
Diversity
Did you know that the Chelsea Cove / Sylvan Lake neighborhood has more Ukrainian and Italian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.8% of this neighborhood's residents have Ukrainian ancestry and 18.5% have Italian ancestry.
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 Chelsea Cove / Sylvan Lake neighborhood in Hopewell Junction are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 81.1% of the neighborhoods in America. With 11.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 53.2% 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 Chelsea Cove / Sylvan Lake neighborhood, 39.8% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 20.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (20.0%), and 19.7% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Chelsea Cove / Sylvan Lake neighborhood is English, spoken by 87.9% of households. Some people also speak Spanish (9.1%).
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 Chelsea Cove / Sylvan Lake neighborhood in Hopewell Junction, NY, residents most commonly identify their ethnicity or ancestry as Italian (18.5%). There are also a number of people of Irish ancestry (16.1%), and residents who report German roots (9.9%), and some of the residents are also of English ancestry (7.5%), along with some South American ancestry residents (3.4%), 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 Chelsea Cove / Sylvan Lake neighborhood spend between 45 minutes and one hour commuting one-way to work (32.9% of working residents), longer and tougher than most commutes in America.
Here most residents (76.3%) 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 (7.1%) . 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.
