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.
Mountain Lake is a very small city located in the state of Minnesota. With a population of 1,976 people and just one neighborhood, Mountain Lake is the 316th largest community in Minnesota.
Occupations and Workforce
Unlike some cities, Mountain Lake isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Mountain Lake are a mix of both white- and blue-collar jobs. Overall, Mountain Lake is a city of sales and office workers, professionals, and service providers. There are especially a lot of people living in Mountain Lake who work in teaching (12.53%), office and administrative support (11.68%), and sales jobs (11.68%).
Telecommuters are a relatively large percentage of the workforce: 12.01% 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
Residents of the city have the good fortune of having one of the shortest daily commutes compared to the rest of the country. On average, they spend only 15.95 minutes getting to work every day.
As is often the case in a small city, Mountain Lake doesn't have a public transportation system that people use for their commute.
Demographics
The percentage of adults in Mountain Lake who are college-educated is close to the national average for all communities of 21.84%: 19.65% of the adults in Mountain Lake have a bachelor's degree or advanced degree.
The per capita income in Mountain Lake in 2022 was $25,038, which is low income relative to Minnesota, and lower middle income relative to the rest of the US. This equates to an annual income of $100,152 for a family of four. However, Mountain Lake contains both very wealthy and poor people as well.
Mountain Lake is a very ethnically-diverse city. The people who call Mountain Lake home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mountain Lake residents report their race to be White, followed by Asian. Mountain Lake also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 13.63% of the city’s residents. Important ancestries of people in Mountain Lake include German, Norwegian, Irish, Swedish, and Dutch.
The most common language spoken in Mountain Lake is English. Other important languages spoken here include Spanish and Laotian.
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.
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 NeighborhoodScout's leading analysis, the neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 5.3% of the workforce so employed, this neighborhood has a greater concentration of such workers than 97.1% of U.S. neighborhoods.
Length of Commute
Whether walking, biking, riding, or driving, the length of one's commute is an important factor for one's quality of life. The neighborhood stands out for its commute length, according to NeighborhoodScout's analysis. Residents of the neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 59.8% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 96.0% of U.S. neighborhoods. Less time commuting means more time for other things in life.
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 NeighborhoodScout's exclusive analysis, with only 19 people per square mile living here, this neighborhood is less crowded than 94.9% of America.
Diversity
Did you know that the neighborhood has more German and Swedish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 39.5% of this neighborhood's residents have German ancestry and 5.9% have Swedish 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 Mountain Lake are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 61.9% of U.S. neighborhoods. With 19.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 67.2% 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, 31.1% 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 29.7% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (18.9%), and 15.0% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 84.0% of households. Some people also speak Spanish (6.9%).
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 Mountain Lake, MN, residents most commonly identify their ethnicity or ancestry as German (39.5%). There are also a number of people of Asian ancestry (11.1%), and residents who report Norwegian roots (8.0%), and some of the residents are also of Mexican ancestry (7.1%), along with some Swedish ancestry residents (5.9%), 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 (59.8% of working residents), one of the shortest commutes across America.
Here most residents (70.6%) 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 (12.3%) . 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.
