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.
Moscow is a tiny village located in the state of Ohio. With a population of 157 people and just one neighborhood, Moscow is the 795th largest community in Ohio. Moscow has a large stock of pre-World War II architecture, making it one of the older and more historic villages in the country.
Occupations and Workforce
Because occupations involving physical labor dominate the local economy, Moscow is generally considered to be a blue-collar town. 80.00% of the Moscow workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Moscow is a village of production and manufacturing workers, transportation and shipping workers, and sales and office workers. There are especially a lot of people living in Moscow who work in office and administrative support (10.00%), business and financial occupations (10.00%), and sales jobs (0.00%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 34.78% 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
Overall, Moscow’s crime rate is one of the lowest in the nation, which makes a great place to live if safety is an important concern.
In Moscow, however, the average commute to work is quite long. On average, people spend 47.50 minutes each day getting to work, which is significantly higher than the national average.
As is often the case in a small village, Moscow doesn't have a public transportation system that people use for their commute.
Demographics
In Moscow, just 8.08% 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 Moscow in 2022 was $31,813, which is middle income relative to Ohio and the nation. This equates to an annual income of $127,252 for a family of four. However, Moscow contains both very wealthy and poor people as well. Moscow also has one of the higher rates of people living in poverty in the nation, with 35.16% of its population below the federal poverty line.
The people who call Moscow home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Moscow residents report their race to be White, followed by Asian. Important ancestries of people in Moscow include English, Irish, German, European, and Dutch.
The most common language spoken in Moscow is English. Other important languages spoken here include Italian and German/Yiddish.
Notable & Unique Neighborhood Characteristics
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to NeighborhoodScout's exclusive exploration and analysis.
Car Ownership
Most American households own a car or other vehicle. Many own two cars or perhaps three. In the United States, it is useful to have an automobile not only for commuting, but also for shopping and getting to other services one needs. But NeighborhoodScout's analysis revealed that households in the neighborhood have a highly unusual car ownership. Residents of this neighborhood must really love automobiles. NeighborhoodScout's Analysis reveals that 43.9% of the households here have four, five, or more cars. That is more cars per household than in 99.0% of the neighborhoods in the nation.
People
The neighborhood stands out within Ohio for its college student friendly environment. NeighborhoodScout's analysis reveals that this neighborhood is home to a number of college students, is relatively walkable, and above average in safety. In combination, this makes it stand out for a good place for college students to consider. Because a number of college students live here, this neighborhood may be close to a college campus and offer certain amenities nearby geared towards the student body. While it's not an environment for everyone, ambitious scholars can enjoy seasonal excitement between semesters and school breaks, and parents can rest easy knowing that the area has an above average safety rating. For each of these reasons, the neighborhood is rated among the top 6.7% of college-friendly places to live in OH. In addition to being an excellent choice for college students, this neighborhood is also a very good choice for families with school-aged children.
Diversity
Did you know that the neighborhood has more French ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 7.5% of this neighborhood's residents have French ancestry.
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 Moscow are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 40.0% of the neighborhoods in America. With 13.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 57.7% 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, 42.7% 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 29.4% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (15.3%), and 12.6% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.1% of households. Some people also speak Italian (2.9%).
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 Moscow, OH, residents most commonly identify their ethnicity or ancestry as German (22.0%). There are also a number of people of English ancestry (12.1%), and residents who report Irish roots (11.6%), and some of the residents are also of French ancestry (7.5%), along with some Italian ancestry residents (2.0%), 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 between 45 minutes and one hour commuting one-way to work (55.7% of working residents), longer and tougher than most commutes in America.
Here most residents (85.1%) 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.
