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.
Dresden is a very small village located in the state of Ohio. With a population of 1,647 people and just one neighborhood, Dresden is the 495th largest community in Ohio.
Occupations and Workforce
Unlike some villages where white-collar or blue-collar occupations dominate the local economy, Dresden is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Dresden is a village of sales and office workers, service providers, and professionals. There are especially a lot of people living in Dresden who work in office and administrative support (13.67%), healthcare (8.70%), and management occupations (8.56%).
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
Dresden is a small village, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
The percentage of people in Dresden with college degrees is quite a bit lower than the national average for cities and towns of 21.84%: just 10.11% of people over 25 have a bachelor's degree or advanced degree.
The per capita income in Dresden in 2022 was $24,418, which is low income relative to Ohio and the nation. This equates to an annual income of $97,672 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 German, Irish, English, Polish, and Italian.
The most common language spoken in Dresden is English. Other important languages spoken here include Polish and German/Yiddish.
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 Dresden, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Modes of Transportation
Our research reveals that 94.6% of commuters who live in the neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 99.4% of U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more English and Welsh ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 24.1% of this neighborhood's residents have English ancestry and 2.4% have Welsh 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 neighborhood in Dresden are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 50.5% of the neighborhoods in America. With 20.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 69.6% 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, 42.5% 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 21.5% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (18.4%), and 17.4% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.0% of households. Some people also speak Polish (2.1%).
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 neighborhood in Dresden, OH, residents most commonly identify their ethnicity or ancestry as German (29.2%). There are also a number of people of English ancestry (24.1%), and residents who report Irish roots (16.1%), and some of the residents are also of Scottish ancestry (4.3%), along with some Welsh ancestry residents (2.4%), among others.
Getting to Work
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in neighborhood spend under 15 minutes commuting one-way to work (38.3% of working residents), one of the shortest commutes across America.
Here most residents (94.6%) 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.
