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.
Webster is a very small township located in the state of Minnesota. With a population of 1,787 people and just one neighborhood, Webster is the 335th largest community in Minnesota.
Webster real estate is some of the most expensive in Minnesota, although Webster house values don't compare to the most expensive real estate in the U.S.
Occupations and Workforce
Unlike some townships where white-collar or blue-collar occupations dominate the local economy, Webster is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Webster is a township of managers, professionals, and sales and office workers. There are especially a lot of people living in Webster who work in management occupations (16.98%), office and administrative support (9.73%), and sales jobs (7.65%).
Telecommuters are a relatively large percentage of the workforce: 15.07% 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
Webster is a good choice for families with children because of several factors. Many other families with children live here, making it a place where both parents and children are more likely to develop social ties with other families. The township’s good public school district and large population of college-educated adults provide an environment conducive to academic success. Many people own their own single-family homes, providing areas for children to play and stability in the community. Finally, Webster’s overall crime rate is lower than average for the country.
Demographics
The education level of Webster citizens is substantially higher than the typical US community, as 29.43% of adults in Webster have at least a bachelor's degree.
The per capita income in Webster in 2022 was $45,552, which is wealthy relative to Minnesota and the nation. This equates to an annual income of $182,208 for a family of four.
The people who call Webster home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Webster residents report their race to be White, followed by Black or African-American. Important ancestries of people in Webster include German, Norwegian, Czech, Irish, and English.
The most common language spoken in Webster is English. Other important languages spoken here include Polish and Spanish.
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.
People
According to NeighborhoodScout's exclusive analysis, is among the best neighborhoods for families in Minnesota. In fact, this neighborhood is more family-friendly than 98.9% of neighborhoods in the entire state of Minnesota. Its combination of top public schools, low crime rates, and owner-occupied single family homes gives this area the look and feel of a "Leave It to Beaver" episode. Many other families also live here, making it easy to socialize and develop a strong sense of community. In addition, the high number of college-educated parents influences the academic success of the local schools. Overall, you will find all of the amenities a family needs to thrive in the neighborhood.
Real Estate
Real estate in the neighborhood is almost exclusively owner-occupied. NeighborhoodScout's analysis reveals that this neighborhood has a higher rate of owner-occupied housing than is found in 97.3% of U.S. neighborhoods. If you are seeking to rent, this neighborhood may not have many options, but high rates of ownership often indicate stability in a neighborhood.
In addition, some neighborhoods are made up of apartments. Some consist of row houses, and most - by far - consist of a mixture of housing types. But the neighborhood stands out due to the total dominance of detached, single-family homes here. There are nearly no other types of residential real estate in the neighborhood. In fact, this neighborhood has a higher proportion of single-family homes in its real estate stock than 95.3% of all American neighborhoods.
Diversity
Did you know that the neighborhood has more Czechoslovakian and Norwegian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.1% of this neighborhood's residents have Czechoslovakian ancestry and 11.7% have Norwegian ancestry.
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 Webster are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 85.1% of the neighborhoods in America. In addition, 2.7% 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 72.7% of America'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, 39.4% 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 23.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (23.0%), and 12.2% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 96.5% of households. Some people also speak Polish (3.4%).
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the neighborhood in Webster, MN, residents most commonly identify their ethnicity or ancestry as German (30.3%). There are also a number of people of Norwegian ancestry (11.7%), and residents who report Irish roots (10.7%), and some of the residents are also of Swedish ancestry (6.7%), along with some English ancestry residents (6.3%), 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 between 15 and 30 minutes commuting one-way to work (41.8% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (84.3%) 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.
