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.
Mount Hope is a tiny town located in the state of Ohio. With a population of 197 people and just one neighborhood, Mount Hope is the 785th largest community in Ohio.
Mount Hope home prices are not only among the most expensive in Ohio, but Mount Hope real estate also consistently ranks among the most expensive in America.
Occupations and Workforce
Mount Hope is a blue-collar town, with 67.44% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Mount Hope is a town of construction workers and builders, sales and office workers, and production and manufacturing workers. There are especially a lot of people living in Mount Hope who work in office and administrative support (16.28%), sales jobs (16.28%), and personal care services (0.00%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 16.28% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. 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
The overall crime rate in Mount Hope is one of the lowest in the US. This makes it one of the safer places to live in the country in terms of crime.
Residents will find that the town is relatively quiet. This is because it is not over-populated, and it has fewer college students, renters, and young children - all of whom can be noisy at times. So, if you're looking for a relatively peaceful place to live, Mount Hope is worth considering.
Being a small town, Mount Hope does not have a public transit system used by locals to get to and from work.
Demographics
In Mount Hope, just 9.72% of people over 25 hold a college degree, which is very low compared to the rest of the nation, whereas the average among all cities is 21.84%.
The per capita income in Mount Hope in 2022 was $29,547, which is lower middle income relative to Ohio and the nation. This equates to an annual income of $118,188 for a family of four.
The people who call Mount Hope home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mount Hope residents report their race to be White. Important ancestries of people in Mount Hope include German, European, Yugoslavian, Other West Indian, and West Indian.
The most common language spoken in Mount Hope is English. Other important languages spoken here include German/Yiddish and West Germanic languages.
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 Mount Hope, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
With a real estate vacancy rate of only 0.0%, the neighborhood has a lower vacancy rate than 100.0% of U.S. neighborhoods, a very elite group. Such a low vacancy rate may indicate very strong real estate demand in the neighborhood combined with some impediments to increasing supply, such as zoning or existing density of development, among other potential reasons.
Modes of Transportation
Our research shows that more people carpool to work here in the (46.8%) than in 99.9% of the neighborhoods in America.
Also, if your dream is to be able to ride your bike to work each day, look no further than this unique neighborhood. With 11.3% of residents in the neighborhood commuting on a bicycle to and from work daily, this neighborhood has more bicycle commuters than 99.7% of all neighborhoods in the U.S., according to NeighborhoodScout's exclusive analysis.
Occupations
NeighborhoodScout's exclusive research identifies the neighborhood as having one of the highest concentrations of people employed in manufacturing or as laborers of any neighborhood in America. In fact, despite the loss of manufacturing jobs nationally, this neighborhood has 53.4% of its working residents employed in such fields, which is a higher proportion than 99.4% of American neighborhoods.
Car Ownership
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 neighborhood has a highly unusual pattern of car ownership. 56.1% of the households in this neighborhood don't own a car at all. This is more carless households than NeighborhoodScout found in 99.0% of U.S. neighborhoods.
People
NeighborhoodScout's exclusive research revealed that 97.8% of the adult residents in the neighborhood do not have a 4-year college degree, which is a lower rate of college graduated adults than found in 98.6% of the neighborhoods in America.
In addition, the 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 5.7% of family-friendly neighborhoods in the state of Ohio. 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.
Diversity
Did you know that the neighborhood has more Swiss ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 18.9% of this neighborhood's residents have Swiss ancestry.
is also pretty special linguistically. Significantly, 74.2% of its residents five years old and above primarily speak German/Yiddish at home. This is a higher percentage than 100.0% of all U.S. neighborhoods.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. More residents of the neighborhood live here today that also were living in this same neighborhood five years ago than is found in 98.3% of U.S. neighborhoods. This neighborhood is really made up of people who know each other, don't move often, and have lived here in this very neighborhood for quite a while.
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 Hope are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 72.3% of the neighborhoods in America. With 18.1% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 66.5% 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, 53.4% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 16.9% of the residents employed. Other residents here are employed in executive, management, and professional occupations (15.2%), and 13.6% 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 German/Yiddish, spoken by 74.2% of households. Some people also speak English (25.6%).
Ethnicity / Ancestry
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 neighborhood in Mount Hope, OH, residents most commonly identify their ethnicity or ancestry as Swiss (18.9%). There are also a number of people of German ancestry (14.1%), and residents who report English roots (6.1%), and some of the residents are also of Swedish ancestry (3.3%), along with some Dutch ancestry residents (1.1%), 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 under 15 minutes commuting one-way to work (47.6% of working residents), one of the shortest commutes across America.
Here most residents (46.8%) carpool with coworkers, friends, or neighbors to get to work. In addition, quite a number also drive alone in a private automobile to get to work (26.6%) and 11.3% of residents also bicycle for their daily commute. Despite relying on the automobile to get to work, residents of this neighborhood share the ride more than most neighborhoods, reducing traffic, pollution, and saving money.
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.
