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.
Shevlin is a tiny city located in the state of Minnesota. With a population of 142 people and just one neighborhood, Shevlin is the 515th largest community in Minnesota.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Shevlin is generally considered to be a blue-collar town. 39.19% of the Shevlin workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Shevlin is a city of sales and office workers, service providers, and construction workers and builders. There are especially a lot of people living in Shevlin who work in sales jobs (20.27%), office and administrative support (9.46%), and healthcare suport services (8.11%).
Of important note, Shevlin is also a city of artists. Shevlin has more artists, designers and people working in media than 90% of the communities in America. This concentration of artists helps shape Shevlin’s character.
Telecommuters are a relatively large percentage of the workforce: 13.51% 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
Overall, Shevlin’s crime rate is one of the lowest in the nation, which makes a great place to live if safety is an important concern.
The city 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, Shevlin has relatively fewer families with younger children, and/or college students. Combined, this makes Shevlin a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
One downside of living in Shevlin, however, is that residents on average have to contend with a long commute, spending on average 30.23 minutes every day commuting to work.
Being a small city, Shevlin does not have a public transit system used by locals to get to and from work.
Demographics
The citizens of Shevlin have a very low rate of college education: just 7.34% of people over 25 have a bachelor's degree or advanced degree, compared to a national average of 21.84% for all cities.
The per capita income in Shevlin in 2022 was $31,024, which is lower middle income relative to Minnesota and the nation. This equates to an annual income of $124,096 for a family of four. However, Shevlin contains both very wealthy and poor people as well.
Shevlin is a somewhat ethnically-diverse city. The people who call Shevlin home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Shevlin residents report their race to be White. Important ancestries of people in Shevlin include Norwegian, German, French, Czech, and Dutch.
The most common language spoken in Shevlin is English. Other important languages spoken here include Spanish and African languages.
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.
Real Estate
Unpopulated, and rural, the neighborhood is one of the least crowded neighborhoods in all of America. If you like open space, no traffic, and lots of room, this neighborhood may be just what you are looking for. According to Ä¢¹½ÊÓƵ's leading research, this neighborhood is less densely populated than 97.9% of the neighborhoods in America.
In addition, despite all of the residential real estate here in the neighborhood, Ä¢¹½ÊÓƵ has discovered that much of it is vacant. In resort or second-home vacation areas, this naturally occurs because homes and apartments are seasonally occupied, and empty for a portion of the year. In non-vacation or resort areas, however, this can be an indicator of property abandonment or a weak real estate market. The vacancy rate here is 30.3%, which is higher than 95.2% of all U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more Norwegian and Native American ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 31.8% of this neighborhood's residents have Norwegian ancestry and 11.8% have Native American ancestry.
is also pretty special linguistically. Significantly, 2.8% of its residents five years old and above primarily speak Native American languages at home. While this may seem like a small percentage, it is higher than 99.3% of the neighborhoods in America.
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 Shevlin are lower-middle income, making it a below average income neighborhood. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 68.0% of U.S. neighborhoods. With 15.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 62.4% 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, 32.3% 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 26.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (23.2%), and 16.3% in clerical, assistant, and tech support occupations.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the neighborhood is English, spoken by 96.3% of households. Other important languages spoken here include Native American languages and Italian.
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 Shevlin, MN, residents most commonly identify their ethnicity or ancestry as Norwegian (31.8%). There are also a number of people of German ancestry (23.0%), and residents who report Native American roots (11.8%), and some of the residents are also of Swedish ancestry (7.6%), along with some Irish 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 (37.8% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (76.2%) 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 (11.6%) . 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.
