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.
Columbus is a very small town located in the state of Montana. With a population of 1,906 people and just one neighborhood, Columbus is the 59th largest community in Montana.
Occupations and Workforce
Unlike some towns where white-collar or blue-collar occupations dominate the local economy, Columbus is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Columbus is a town of service providers, construction workers and builders, and professionals. There are especially a lot of people living in Columbus who work in food service (9.73%), management occupations (9.53%), and personal care services (9.22%).
Setting & Lifestyle
Despite being a small town, Columbus has a lot of people using the bus to get to and from work every day. Most of these people on the bus are using it to get to good jobs in other cities.
Demographics
The education level of Columbus citizens, measured as those with bachelor's degrees or advanced degrees, is similar to the national average for all American cities and towns. 20.60% of adults 25 and older in Columbus have a college degree.
The per capita income in Columbus in 2022 was $39,770, which is upper middle income relative to Montana and the nation. This equates to an annual income of $159,080 for a family of four. However, Columbus contains both very wealthy and poor people as well.
The people who call Columbus home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Columbus residents report their race to be White, followed by Asian. Important ancestries of people in Columbus include German, Irish, English, Norwegian, and Dutch.
The most common language spoken in Columbus is English. Other important languages spoken here include Italian and Polish.
Notable & Unique Neighborhood Characteristics
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to Ä¢¹½ÊÓƵ's exclusive exploration and analysis.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 13 residents per square mile, is less crowded than 96.4% of all U.S. neighborhoods.
Car Ownership
Most American households own a car or other vehicle. Many own two cars or perhaps three. In the United States, it is useful to have an automobile not only for commuting, but also for shopping and getting to other services one needs. But Ä¢¹½ÊÓƵ's analysis revealed that households in the neighborhood have a highly unusual car ownership. Residents of this neighborhood must really love automobiles. Ä¢¹½ÊÓƵ's Analysis reveals that 35.3% of the households here have four, five, or more cars. That is more cars per household than in 96.3% of the neighborhoods in the nation.
Diversity
Did you know that the neighborhood has more Finnish and Iranian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.5% of this neighborhood's residents have Finnish ancestry and 1.9% have Iranian 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. Ä¢¹½ÊÓƵ's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the neighborhood in Columbus are upper-middle income, making it an above average income neighborhood. Ä¢¹½ÊÓƵ's exclusive analysis reveals that this neighborhood has a higher income than 65.7% of the neighborhoods in America. With 11.0% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 52.4% 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, 36.0% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 30.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (25.6%), and 7.6% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.8% of households. Some people also speak Italian (3.5%).
Ethnicity / Ancestry
Culture is the shared learned behavior of peoples. Undeniably, different ethnicities and ancestries have different cultural traditions, and as a result, neighborhoods with concentrations of residents of one or another ethnicities or ancestries will express those cultures. It is what makes the North End in Boston so fun to visit for the Italian restaurants, bakeries, culture, and charm, and similarly, why people enjoy visiting Chinatown in San Francisco.
In the neighborhood in Columbus, MT, residents most commonly identify their ethnicity or ancestry as German (27.9%). There are also a number of people of Irish ancestry (14.2%), and residents who report English roots (13.3%), and some of the residents are also of Norwegian ancestry (8.4%), along with some Dutch ancestry residents (3.5%), among others.
Getting to Work
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 (41.8% of working residents), one of the shortest commutes across America.
Here most residents (65.9%) 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 (22.2%) . 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.
