Bing median real estate price is $409,113, which is more expensive than 85.4% of the neighborhoods in Montana and 75.3% of the neighborhoods in the U.S.
The average rental price in Bing is currently $1,154, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 64.8% of the neighborhoods in Montana.
Bing is a rural neighborhood (based on population density) located in Stevensville, Montana.
Bing real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and mobile homes. Most of the residential real estate is owner occupied. Many of the residences in the Bing neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Real estate vacancies in Bing are 5.5%, which is lower than one will find in 70.4% of American neighborhoods. Demand for real estate in Bing is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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 Stevensville, the Bing neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
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 91.0% of America. One of the notable things about Bing 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.
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 Bing neighborhood has a highly unusual pattern of car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 32.4% 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.
If you're looking for a great spot to raise a family, then look no further than the Bing neighborhood. NeighborhoodScout's analysis found that the combination of good quality public schools, above-average safety from crime, and a high rate of home ownership in predominantly single-family homes, help make this neighborhood among the top 11.8% of family-friendly neighborhoods across the state of Montana. In addition, there are a high proportion of other families with school-aged children living here, making it easy for parents and their children to socialize and develop a sense of community support. In addition, families here highly value education, as is reflected by the strength of the local schools, in part due to the educational attainment of the parents here, who vote in support of the public schools.
Did you know that the Bing neighborhood has more Swedish and Welsh ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 6.2% of this neighborhood's residents have Swedish ancestry and 2.5% have Welsh ancestry.
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 Bing neighborhood in Stevensville are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 63.1% of the neighborhoods in America. In addition, 8.3% 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 62.1% of America'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 Bing neighborhood, 41.5% 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 31.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (16.6%), and 9.9% in clerical, assistant, and tech support occupations.
The most common language spoken in the Bing neighborhood is English, spoken by 98.5% of households.
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 Bing neighborhood in Stevensville, MT, residents most commonly identify their ethnicity or ancestry as German (24.5%). There are also a number of people of English ancestry (16.4%), and residents who report Irish roots (15.0%), and some of the residents are also of Italian ancestry (7.6%), along with some Swedish ancestry residents (6.2%), among others.
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 Bing neighborhood spend between 45 minutes and one hour commuting one-way to work (36.6% of working residents), longer and tougher than most commutes in America.
Here most residents (82.3%) 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 (15.2%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2019 (latest available). Updated annually. Please note: Unemployment data updated February 2021.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
| School Details | Grades | Quality Rating Compared to MT* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Lone Rock Middle School
1112 Three Mile Creek Rd Stevensville, MT 59870 |
06-08 | ||
|
Lone Rock School
1112 Three Mile Creek Rd Stevensville, MT 59870 |
PK-05 | ||
| * 10 is highest | |||
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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