Bing median real estate price is $424,134, which is more expensive than 86.1% of the neighborhoods in Montana and 76.1% 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.
Unpopulated, and rural, the Bing 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 91.0% of the neighborhoods in 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.
American households most often have a car, and regularly they have two or three. But households in the Bing neighborhood buck this trend. 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.
The Bing neighborhood is a great option for families, as revealed by NeighborhoodScout's research on this neighborhood. The combination of top public schools, low crime rates, and owner-occupied single family homes, make this neighborhood among the top 10.0% of family-friendly neighborhoods in the state of Montana. Many other families also live here, making it easy to socialize and develop a sense of community. In addition, families here highly value education, as is reflected by the strength of the local 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.
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 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.
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 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.
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 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 May 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 | ||
|
Stevensville 7-8 School
300 Park Street Stevensville, MT 59870 |
07-08 | ||
|
Stevensville High School
300 Park Street Stevensville, MT 59870 |
09-12 | ||
|
Stevensville K-6 School
300 Park Street Stevensville, MT 59870 |
PK-06 | ||
| * 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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