This is a small community in a single neighborhood.
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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.
Lima is a tiny town located in the state of Montana. With a population of 217 people and just one neighborhood, Lima is the 140th largest community in Montana. Lima has an unusually large stock of pre-World War II architecture, making it one of the older and more historic towns.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Lima is generally considered to be a blue-collar town. 38.71% of the Lima workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Lima is a town of construction workers and builders, managers, and sales and office workers. There are especially a lot of people living in Lima who work in office and administrative support (16.13%), management occupations (12.90%), and business and financial occupations (12.90%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 8.60% 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
Lima’s overall crime rate ranks among the lowest in the nation, making it a very safe place to live.
The town 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, Lima has relatively fewer families with younger children, and/or college students. Combined, this makes Lima a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
Compared to the rest of the country, citizens of Lima spend much less time in their cars: on average, their commute to work is only 9.79 minutes. This also means that noise and pollution levels in the town are less than they would otherwise be.
As is often the case in a small town, Lima doesn't have a public transportation system that people use for their commute.
Demographics
The percentage of adults in Lima who are college-educated is close to the national average for all communities of 21.84%: 19.57% of the adults in Lima have a bachelor's degree or advanced degree.
The per capita income in Lima in 2022 was $27,064, which is lower middle income relative to Montana and the nation. This equates to an annual income of $108,256 for a family of four. However, Lima contains both very wealthy and poor people as well.
The people who call Lima home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Lima residents report their race to be White. Important ancestries of people in Lima include English, German, Irish, French, and European.
The most common language spoken in Lima 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 NeighborhoodScout'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 0 residents per square mile, is less crowded than 99.6% of all U.S. neighborhoods. One of the notable things about is that it is one of the quietest neighborhoods in America, according to NeighborhoodScout's exclusive analysis and quantitative rating of quietness. When you are here, you will find it to be very quiet. If quiet and peaceful are your cup of tea, you may have found a great place for you.
In addition, vacant homes and apartments are a significant characteristic of this neighborhood. In fact, with 43.3% of the residential real estate vacant, the neighborhood claims the distinction of having a higher vacancy rate than 98.1% of the neighborhoods in America. This can either be because much of the property is seasonally occupied, like in many vacation areas, or that much of the real estate is more permanently abandoned.
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 8.5% of the workforce so employed, this neighborhood has a greater concentration of such workers than 98.7% of U.S. neighborhoods.
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 35.5% of the households here have four, five, or more cars. That is more cars per household than in 96.4% of the neighborhoods in the nation.
Modes of Transportation
More people in choose to walk to work each day (12.3%) than almost any neighborhood in America. If you are attracted to the idea of being able to walk to work, this neighborhood could be a good choice.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 59.9% 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.
People
If you're planning where to retire, the neighborhood in Lima is a great option to consider. According to NeighborhoodScout's exclusive retirement dream area analysis, it's peaceful and quiet, has above average safety ratings compared to other neighborhoods in MT, offers a wide range of housing options, and has already attracted an enviable mix of college educated seniors. This neighborhood ranks as better for retirement living than 87.1% of the neighborhoods in Montana. If you are considering retiring to Montana, this is a good neighborhood to look at.
Diversity
Did you know that the neighborhood has more Swiss and Norwegian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.8% of this neighborhood's residents have Swiss ancestry and 8.7% have Norwegian 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 Lima are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 69.0% of U.S. neighborhoods. With 28.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 80.7% 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, 44.8% 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 19.9% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (14.7%), and 12.1% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 97.4% of households. Some people also speak Italian (3.0%).
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 Lima, MT, residents most commonly identify their ethnicity or ancestry as German (22.6%). There are also a number of people of English ancestry (21.3%), and residents who report Irish roots (12.8%), and some of the residents are also of Norwegian ancestry (8.7%), along with some Mexican ancestry residents (4.2%), 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 (59.9% of working residents), one of the shortest commutes across America.
Here most residents (57.3%) 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 (13.6%) and 12.3% of residents also hop out the door and walk to work for their daily commute. 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.
