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.
Florence is a tiny town located in the state of Montana. With a population of 821 people and just one neighborhood, Florence is the 101st largest community in Montana.
Florence home prices are not only among the most expensive in Montana, but Florence real estate also consistently ranks among the most expensive in America.
Occupations and Workforce
Florence is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Florence is a town of service providers, sales and office workers, and professionals. There are especially a lot of people living in Florence who work in sales jobs (14.42%), healthcare suport services (12.74%), and healthcare (10.10%).
Telecommuters are a relatively large percentage of the workforce: 17.14% 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
Florence is a good choice for families with children because of several factors. Many other families with children live here, making it a place where both parents and children are more likely to develop social ties with other families. The town’s good public school district and large population of college-educated adults provide an environment conducive to academic success. Many people own their own single-family homes, providing areas for children to play and stability in the community. Finally, Florence’s overall crime rate ranks among the lowest in the country, making it one of the safest places to raise a family.
Florence is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
The education level of Florence citizens is substantially higher than the typical US community, as 33.11% of adults in Florence have at least a bachelor's degree.
The per capita income in Florence in 2022 was $34,894, which is upper middle income relative to Montana, and middle income relative to the rest of the US. This equates to an annual income of $139,576 for a family of four. However, Florence contains both very wealthy and poor people as well.
Florence is a somewhat ethnically-diverse town. The people who call Florence home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Florence residents report their race to be White. Important ancestries of people in Florence include German, Irish, English, Polish, and Norwegian.
The most common language spoken in Florence is English. Other important languages spoken here include Italian and Spanish.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Florence, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
According to NeighborhoodScout's exclusive analysis, is among the best neighborhoods for families in Montana. In fact, this neighborhood is more family-friendly than 95.6% of neighborhoods in the entire state of Montana. Its combination of top public schools, low crime rates, and owner-occupied single family homes gives this area the look and feel of a "Leave It to Beaver" episode. Many other families also live here, making it easy to socialize and develop a strong sense of community. In addition, the high number of college-educated parents influences the academic success of the local schools. Overall, you will find all of the amenities a family needs to thrive in the neighborhood.
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 41 people per square mile living here, this neighborhood is less crowded than 90.7% of America.
Diversity
Did you know that the neighborhood has more Scottish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 5.7% of this neighborhood's residents have Scottish ancestry.
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 Florence are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 57.6% of the neighborhoods in America. In addition, 4.4% 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 66.7% 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, 31.7% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 28.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (24.0%), and 15.0% 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 97.8% 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 Florence, MT, residents most commonly identify their ethnicity or ancestry as German (24.8%). There are also a number of people of Irish ancestry (13.8%), and residents who report English roots (13.3%), and some of the residents are also of Italian ancestry (8.0%), along with some Scottish ancestry residents (5.7%), 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 (35.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (69.4%) 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 (6.6%) . 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.
