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.
Unlike some villages, Dresden isn鈥檛 mainly white- or blue-collar. Instead, the most prevalent occupations for people in Dresden are a mix of both white- and blue-collar jobs. Overall, Dresden is a village of professionals, sales and office workers, and service providers. There are especially a lot of people living in Dresden who work in office and administrative support (14.10%), healthcare (10.04%), and management occupations (9.68%).
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.
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.
The percentage of adults in Dresden with college degrees is slightly lower than the national average of 21.84% for all communities. 13.30% of adults in Dresden have a bachelor's degree or advanced degree.
The per capita income in Dresden in 2022 was $26,431, which is lower middle income relative to Ohio and the nation. This equates to an annual income of $105,724 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 German, Irish, English, Italian, and Dutch.
The most common language spoken in Dresden is English. Other important languages spoken here include Polish and German/Yiddish.
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.
Our research reveals that 89.7% of commuters who live in the neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 96.9% of U.S. neighborhoods.
Did you know that the neighborhood has more Welsh and English ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.5% of this neighborhood's residents have Welsh ancestry and 21.8% have English ancestry.
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. 蘑菇视频'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. 蘑菇视频's exclusive analysis reveals that this neighborhood has a higher income than 49.5% of the neighborhoods in America. With 18.3% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 66.8% of U.S. neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the neighborhood, 44.9% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 22.8% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (18.2%), and 14.1% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
The most common language spoken in the neighborhood is English, spoken by 99.5% of households. Some people also speak Polish (2.1%).
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture 鈥� our learned behavior 鈥� 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 (28.6%). There are also a number of people of English ancestry (21.8%), and residents who report Irish roots (13.5%), and some of the residents are also of Scottish ancestry (4.6%), along with some Italian ancestry residents (3.0%), among others.
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 (35.4% of working residents), one of the shortest commutes across America.
Here most residents (89.7%) 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 (5.2%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
SCOUT鈥檚 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.