This is a small community in a single neighborhood.
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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.
Dresden is a very small town located in the state of Tennessee. With a population of 2,953 people and just one neighborhood, Dresden is the 175th largest community in Tennessee.
Occupations and Workforce
Dresden is a blue-collar town, with 49.87% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Dresden is a town of construction workers and builders, professionals, and production and manufacturing workers. There are especially a lot of people living in Dresden who work in office and administrative support (8.03%), healthcare (7.15%), and computer science and math (6.68%).
Also of interest is that Dresden has more people living here who work in computers and math than 95% of the places in the US.
Setting & Lifestyle
The town is relatively quiet, having a combination of lower population density and few of those groups of people who have a tendency to be noisy. For example, Dresden has relatively fewer families with younger children, and/or college students. Combined, this makes Dresden a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
As is often the case in a small town, Dresden doesn't have a public transportation system that people use for their commute.
Demographics
The citizens of Dresden are slightly less educated than the national average of 21.84% for the average city or town: 15.56% of adults in Dresden have a bachelor's degree or advanced degree
The per capita income in Dresden in 2022 was $30,181, which is middle income relative to Tennessee, and lower middle income relative to the rest of the US. This equates to an annual income of $120,724 for a family of four. However, Dresden contains both very wealthy and poor people as well.
The people who call Dresden home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Dresden residents report their race to be White, followed by Black or African-American. Important ancestries of people in Dresden include English, Irish, Italian, Scottish, and German.
The most common language spoken in Dresden is English. Other important languages spoken here include Italian and Polish.
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.
Modes of Transportation
While most Americans do drive to work alone each day, the neighborhood stands out by having 92.7% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 98.9% of all American neighborhoods.
People
Divorcees may find friendship and understanding in this neighborhood, as 22.1% of its residents are divorced. NeighborhoodScout's exclusive analysis found that this divorce rate is higher than in 97.7% of the neighborhoods in America.
Occupations
NeighborhoodScout's exclusive research identifies the neighborhood as having one of the highest concentrations of people employed in manufacturing or as laborers of any neighborhood in America. In fact, despite the loss of manufacturing jobs nationally, this neighborhood has 45.2% of its working residents employed in such fields, which is a higher proportion than 97.4% of American neighborhoods.
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 neighborhood in Dresden are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 82.9% of U.S. neighborhoods. With 36.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 86.8% of U.S. neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the neighborhood, 45.2% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 29.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (15.0%), and 9.9% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.0% of households.
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 Dresden, TN, residents most commonly identify their ethnicity or ancestry as English (18.8%). There are also a number of people of Irish ancestry (7.4%), and residents who report German roots (2.3%), and some of the residents are also of Italian ancestry (1.2%), along with some Scottish ancestry residents (1.2%), 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 between 15 and 30 minutes commuting one-way to work (44.3% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (92.7%) drive alone in a private automobile to get to work. 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.
