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.
Boulder - Jefferson City is a very small town located in the state of Montana. With a population of 4,580 people and just one neighborhood, Boulder - Jefferson City is the 26th largest community in Montana.
Occupations and Workforce
Boulder - Jefferson City is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Boulder - Jefferson City is a town of professionals, managers, and construction workers and builders. There are especially a lot of people living in Boulder - Jefferson City who work in management occupations (13.93%), office and administrative support (11.81%), and teaching (7.66%).
Also of interest is that Boulder - Jefferson City has more people living here who work in computers and math than 95% of the places in the US.
One interesting thing about the economy is that relatively large numbers of people worked from their home: 13.14% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. 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
Demographics
In terms of college education, Boulder - Jefferson City is substantially better educated than the typical community in the nation, which has 21.84% of the adults holding a bachelor's degree or graduate degree: 29.38% of adults in Boulder - Jefferson City have a college degree.
The per capita income in Boulder - Jefferson City in 2018 was $35,751, which is upper middle income relative to Montana and the nation. This equates to an annual income of $143,004 for a family of four. However, Boulder - Jefferson City contains both very wealthy and poor people as well.
The people who call Boulder - Jefferson City home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Boulder - Jefferson City residents report their race to be White, followed by Native American. Important ancestries of people in Boulder - Jefferson City include Irish, German, English, Norwegian, and Scottish.
The most common language spoken in Boulder - Jefferson City is English. Other important languages spoken here include Italian and Korean.
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 NeighborhoodScout's exclusive exploration and analysis.
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 NeighborhoodScout's leading research, this neighborhood is less densely populated than 98.3% of the neighborhoods in America.
People
Of particular note, 2.4% of the people in the neighborhood currently reside in a correction facility, held due to punishment for a crime.
Car Ownership
We Americans love our cars. Not only are they a necessity for most Americans due to the shape of our neighborhoods and the distances between where we live, work, shop, and go to school, but we also fancy them. As a result, most households in America have one, two, or three cars. But NeighborhoodScout's exclusive analysis shows that the neighborhood has a highly unusual pattern of car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 36.9% of the households here have four, five, or more cars. That is more cars per household than in 97.0% of the neighborhoods in the nation.
Occupations
The government often provides some of the more stable jobs in the economy. From local, to state, to federal government workers, the government can also be a major employer. What NeighborhoodScout's analysis revealed, is that the neighborhood in particular stands out when compared nationally for the proportion of its working residents who are employed by the government. At 13.8% of its workforce, this neighborhood has a greater concentration of government workers than 96.2% of U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more Finnish and Danish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.6% of this neighborhood's residents have Finnish ancestry and 2.8% have Danish ancestry.
is also pretty special linguistically. Significantly, 0.9% 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 97.3% 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 Boulder - Jefferson City are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 64.3% of U.S. neighborhoods. In addition, 2.2% 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 74.5% of America's neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
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 28.5% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (15.5%), and 13.8% in government jobs, whether they are in local, state, or federal positions.
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 97.7% of households. Other important languages spoken here include Italian and Polish.
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 Boulder - Jefferson City, MT, residents most commonly identify their ethnicity or ancestry as Irish (22.9%). There are also a number of people of German ancestry (22.2%), and residents who report English roots (15.5%), and some of the residents are also of Norwegian ancestry (8.1%), along with some Scottish ancestry residents (5.1%), 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 between 15 and 30 minutes commuting one-way to work (36.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (71.8%) 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 (10.9%) . 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.
