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.
Marengo is a tiny village located in the state of Ohio. With a population of 280 people and just one neighborhood, Marengo is the 746th largest community in Ohio. Marengo has an unusually large stock of pre-World War II architecture, making it one of the older and more historic villages.
Marengo real estate is some of the most expensive in Ohio, although Marengo house values don't compare to the most expensive real estate in the U.S.
Occupations and Workforce
Marengo is a blue-collar town, with 38.79% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Marengo is a village of service providers, professionals, and construction workers and builders. There are especially a lot of people living in Marengo who work in healthcare (10.30%), healthcare suport services (9.09%), and sales jobs (6.67%).
A relatively large number of people in Marengo telecommute to their jobs. Overall, about 11.52% of the workforce works from home. While this may seem like a small number, as a fraction of the total workforce it ranks among the highest in the country. 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
One downside of living in Marengo, however, is that residents on average have to contend with a long commute, spending on average 31.85 minutes every day commuting to work.
As is often the case in a small village, Marengo doesn't have a public transportation system that people use for their commute.
Demographics
The population of Marengo has a very low overall level of education: only 9.47% of people over 25 hold a 4-year college degree or higher.
The per capita income in Marengo in 2022 was $33,372, which is upper middle income relative to Ohio, and middle income relative to the rest of the US. This equates to an annual income of $133,488 for a family of four. However, Marengo contains both very wealthy and poor people as well.
The people who call Marengo home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Marengo residents report their race to be White. Important ancestries of people in Marengo include German, Polish, Italian, English, and Irish.
The most common language spoken in Marengo is English. Other important languages spoken here include Italian and Spanish.
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.
Diversity
Did you know that the neighborhood has more Welsh ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.6% of this neighborhood's residents have Welsh ancestry.
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 Marengo are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 57.2% of the neighborhoods in America. In addition, 2.3% 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 74.1% of America's neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the neighborhood, 39.4% 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 24.2% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (21.1%), and 14.7% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the neighborhood is English, spoken by 99.8% of households. Other important languages spoken here include Polish and Italian.
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 Marengo, OH, residents most commonly identify their ethnicity or ancestry as German (28.1%). There are also a number of people of Irish ancestry (13.7%), and residents who report English roots (9.7%), and some of the residents are also of Polish ancestry (4.0%), along with some Welsh ancestry residents (3.6%), 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 (31.7% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (83.1%) drive alone in a private automobile to get to work. 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.
