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?
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.
Chester is a very small town located in the state of Vermont. With a population of 3,008 people and just one neighborhood, Chester is the 75th largest community in Vermont.
Occupations and Workforce
Unlike some towns where white-collar or blue-collar occupations dominate the local economy, Chester is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Chester is a town of professionals, managers, and service providers. There are especially a lot of people living in Chester who work in management occupations (16.66%), office and administrative support (9.26%), and teaching (9.20%).
A relatively large number of people in Chester telecommute to their jobs. Overall, about 11.54% of the workforce works from home. While this may seem like a small number, as a fraction of the total workforce it ranks among the highest in the country. 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
Residents will find that the town is relatively quiet. This is because it is not over-populated, and it has fewer college students, renters, and young children - all of whom can be noisy at times. So, if you're looking for a relatively peaceful place to live, Chester is worth considering.
Being a small town, Chester does not have a public transit system used by locals to get to and from work.
Demographics
The citizens of Chester are among the most well-educated in the nation: 40.58% of adults in Chester have a bachelor's degree or even advanced degree, whereas the average US city has 21.84% holding at least a bachelor's degree.
The per capita income in Chester in 2022 was $39,687, which is middle income relative to Vermont, and upper middle income relative to the rest of the US. This equates to an annual income of $158,748 for a family of four. However, Chester contains both very wealthy and poor people as well.
The people who call Chester home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Chester residents report their race to be White, followed by Black or African-American. Important ancestries of people in Chester include English, Irish, German, Scottish, and French.
The most common language spoken in Chester is English. Other important languages spoken here include Italian and French.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Chester, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
Of note is NeighborhoodScout's research finding that the neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the community truly stands out from the rest in this regard.
Modes of Transportation
In the neighborhood, carpooling is still a popular way to get to and from work. NeighborhoodScout's analysis reveals that 24.9% of commuters carpool here, which is more than in 97.0% of all U.S. neighborhoods.
Occupations
Each year, fewer and fewer Americans make their living as farmers, foresters, or fishers. But the neighborhood truly stands out among U.S. neighborhoods. According to exclusive NeighborhoodScout analysis, this neighborhood has a greater proportion of farmers, foresters, or fishers than 95.2% of all American neighborhoods. This is truly a unique cultural characteristic of this neighborhood.
Real Estate
Despite all of the residential real estate here in the neighborhood, NeighborhoodScout has discovered that much of it is vacant. In resort or second-home vacation areas, this naturally occurs because homes and apartments are seasonally occupied, and empty for a portion of the year. In non-vacation or resort areas, however, this can be an indicator of property abandonment or a weak real estate market. The vacancy rate here is 30.7%, which is higher than 95.0% of all U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more Scottish and Canadian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 7.8% of this neighborhood's residents have Scottish ancestry and 2.2% have Canadian ancestry.
is also pretty special linguistically. Significantly, 7.9% of its residents five years old and above primarily speak Italian at home. While this may seem like a small percentage, it is higher than 96.8% 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 Chester are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 40.3% of the neighborhoods in America. In addition, 0.0% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 100.0% of America'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 neighborhood, 46.6% 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 manufacturing and laborer occupations (17.9%), and 12.1% 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 96.6% of households. Other important languages spoken here include Italian and French.
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 neighborhood in Chester, VT, residents most commonly identify their ethnicity or ancestry as English (27.1%). There are also a number of people of Irish ancestry (18.8%), and residents who report German roots (13.1%), and some of the residents are also of Scottish ancestry (7.8%), along with some French ancestry residents (7.6%), 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 neighborhood spend under 15 minutes commuting one-way to work (33.0% of working residents), one of the shortest commutes across America.
Here most residents (62.5%) 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 (24.9%) . 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.
