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.
Mountain Grove is a very small city located in the state of Missouri. With a population of 4,645 people and just one neighborhood, Mountain Grove is the 161st largest community in Missouri.
Occupations and Workforce
Unlike some cities, Mountain Grove isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Mountain Grove are a mix of both white- and blue-collar jobs. Overall, Mountain Grove is a city of sales and office workers, managers, and production and manufacturing workers. There are especially a lot of people living in Mountain Grove who work in sales jobs (23.19%), teaching (11.97%), and business and financial occupations (11.41%).
Telecommuters are a relatively large percentage of the workforce: 8.37% 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
Compared to the rest of the country, citizens of Mountain Grove spend much less time in their cars: on average, their commute to work is only 15.39 minutes. This also means that noise and pollution levels in the city are less than they would otherwise be.
Being a small city, Mountain Grove does not have a public transit system used by locals to get to and from work.
Demographics
The percentage of adults in Mountain Grove with college degrees is slightly lower than the national average of 21.84% for all communities. 16.65% of adults in Mountain Grove have a bachelor's degree or advanced degree.
The per capita income in Mountain Grove in 2022 was $25,228, which is lower middle income relative to Missouri, and low income relative to the rest of the US. This equates to an annual income of $100,912 for a family of four. However, Mountain Grove contains both very wealthy and poor people as well.
Mountain Grove is a somewhat ethnically-diverse city. The people who call Mountain Grove home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mountain Grove residents report their race to be White, followed by Asian. Important ancestries of people in Mountain Grove include German, Irish, English, European, and Scottish.
The most common language spoken in Mountain Grove is English. Other important languages spoken here include German/Yiddish and Italian.
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 Mountain Grove, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
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. 64.7% 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 97.4% of U.S. neighborhoods. Less time commuting means more time for other things in life.
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 Mountain Grove are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 89.9% of U.S. neighborhoods. With 18.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 67.1% of U.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 neighborhood, 35.0% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 27.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (24.4%), and 12.3% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.3% of households.
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 Mountain Grove, MO, residents most commonly identify their ethnicity or ancestry as German (20.7%). There are also a number of people of Irish ancestry (14.9%), and residents who report English roots (13.9%), and some of the residents are also of Mexican ancestry (2.1%), along with some Scots-Irish ancestry residents (1.9%), 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 (64.7% of working residents), one of the shortest commutes across America.
Here most residents (82.5%) 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 (5.7%) . 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.
