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.
Mount Olivet is a tiny city located in the state of Kentucky. With a population of 361 people and just one neighborhood, Mount Olivet is the 345th largest community in Kentucky. Mount Olivet has an unusually large stock of pre-World War II architecture, making it one of the older and more historic cities.
Occupations and Workforce
Mount Olivet is a decidedly white-collar city, with fully 87.50% of the workforce employed in white-collar jobs, well above the national average. Overall, Mount Olivet is a city of professionals, service providers, and sales and office workers. There are especially a lot of people living in Mount Olivet who work in healthcare (20.83%), office and administrative support (14.58%), and management occupations (14.58%).
Setting & Lifestyle
Mount Olivet’s overall crime rate ranks among the lowest in the nation, making it a very safe place to live.
The city 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, Mount Olivet has relatively fewer families with younger children, and/or college students. Combined, this makes Mount Olivet a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
As is often the case in a small city, Mount Olivet doesn't have a public transportation system that people use for their commute.
Demographics
The population of Mount Olivet overall has a level of education that is slightly above the US average for all US cities and towns of 21.84%. Of adults 25 and older in Mount Olivet, 24.19% have at least a bachelor's degree.
The per capita income in Mount Olivet in 2022 was $27,911, which is middle income relative to Kentucky, and lower middle income relative to the rest of the US. This equates to an annual income of $111,644 for a family of four. However, Mount Olivet contains both very wealthy and poor people as well. Mount Olivet also has one of the higher rates of people living in poverty in the nation, with 34.84% of its population below the federal poverty line.
The people who call Mount Olivet home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mount Olivet residents report their race to be White. Important ancestries of people in Mount Olivet include Irish, German, English, Scots-Irish, and Welsh.
The most common language spoken in Mount Olivet is English. Other important languages spoken here include Greek and Polish.
Notable & Unique Neighborhood Characteristics
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Modes of Transportation
Our research reveals that 88.9% of commuters who live in the neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 96.1% of U.S. neighborhoods.
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 22 residents per square mile, is less crowded than 94.3% of all U.S. neighborhoods.
Diversity
Significantly, 1.0% of its residents five years old and above primarily speak Greek at home. While this may seem like a small percentage, it is higher than 96.8% of the neighborhoods in America.
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 Mount Olivet are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 80.1% of U.S. neighborhoods. With 22.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 73.5% 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, 33.1% 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 28.1% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (23.0%), and 15.8% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
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 Mount Olivet, KY, residents most commonly identify their ethnicity or ancestry as German (15.7%). There are also a number of people of English ancestry (13.9%), and residents who report Irish roots (8.8%), and some of the residents are also of Italian ancestry (2.0%), along with some Welsh ancestry residents (1.7%), 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 between 30 and 45 minutes commuting one-way to work (30.5% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (88.9%) 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 (8.4%) . 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.
