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?
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.
Denmark is a very small town located in the state of Tennessee. With a population of 1,489 people and just one neighborhood, Denmark is the 251st largest community in Tennessee.
Occupations and Workforce
Unlike some towns where white-collar or blue-collar occupations dominate the local economy, Denmark is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Denmark is a town of sales and office workers, service providers, and professionals. There are especially a lot of people living in Denmark who work in office and administrative support (19.56%), management occupations (11.95%), and healthcare suport services (6.84%).
Telecommuters are a relatively large percentage of the workforce: 8.06% of people work from home. While this number may seem small overall, as a fraction of the total workforce it is high relative to the nation. 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
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, Denmark has relatively fewer families with younger children, and/or college students. Combined, this makes Denmark 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, Denmark doesn't have a public transportation system that people use for their commute.
Demographics
The population of Denmark overall has a level of education that is slightly above the US average for all US cities and towns of 21.84%. Of adults 25 and older in Denmark, 22.39% have at least a bachelor's degree.
The per capita income in Denmark in 2022 was $29,015, 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 $116,060 for a family of four. However, Denmark contains both very wealthy and poor people as well.
Denmark is an extremely ethnically-diverse town. The people who call Denmark home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Denmark residents report their race to be White, followed by Black or African-American. Important ancestries of people in Denmark include English, Irish, Scottish, Norwegian, and German.
The most common language spoken in Denmark is English. Other important languages spoken here include Spanish and Italian.
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 Ä¢¹½ÊÓƵ's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Occupations
It used to be that most Americans lived on the farm, or otherwise made their living from the land, the forests, or the sea. With global trade and an economy increasingly based on providing services to one another, fewer people farm, fish or harvest timber now than at any time in American history. But according to Ä¢¹½ÊÓƵ's leading analysis, the neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 4.2% of the workforce so employed, this neighborhood has a greater concentration of such workers than 96.2% of U.S. neighborhoods.
Car Ownership
American households most often have a car, and regularly they have two or three. But households in the neighborhood buck this trend. Residents of this neighborhood must really love automobiles. Ä¢¹½ÊÓƵ's Analysis reveals that 35.0% of the households here have four, five, or more cars. That is more cars per household than in 96.2% of the neighborhoods in the nation.
Real Estate
This neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on Ä¢¹½ÊÓƵ's exclusive analysis, with only 16 people per square mile living here, this neighborhood is less crowded than 95.5% of America.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. Ä¢¹½ÊÓƵ's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. More residents of the neighborhood live here today that also were living in this same neighborhood five years ago than is found in 96.5% of U.S. neighborhoods. This neighborhood is really made up of people who know each other, don't move often, and have lived here in this very neighborhood for quite a while.
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 Denmark are middle-income, making it a moderate income neighborhood. Ä¢¹½ÊÓƵ's exclusive analysis reveals that this neighborhood has a higher income than 41.0% of the neighborhoods in America. With 21.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 71.4% 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 neighborhood, 28.9% 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 26.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (21.4%), and 19.1% 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 95.4% of households. Some people also speak Spanish (4.6%).
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 neighborhood in Denmark, TN, residents most commonly identify their ethnicity or ancestry as English (5.5%). There are also a number of people of Irish ancestry (3.9%), and residents who report Mexican roots (2.2%), and some of the residents are also of Scottish ancestry (2.1%), along with some Norwegian ancestry residents (1.9%), 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 (56.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (77.3%) 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 (14.7%) . 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.
