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.
Ravenna is a very small village located in the state of Michigan. With a population of 1,377 people and just one neighborhood, Ravenna is the 432nd largest community in Michigan.
Occupations and Workforce
Unlike some villages, Ravenna isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Ravenna are a mix of both white- and blue-collar jobs. Overall, Ravenna is a village of professionals, sales and office workers, and service providers. There are especially a lot of people living in Ravenna who work in healthcare (14.48%), office and administrative support (7.51%), and management occupations (7.10%).
Setting & Lifestyle
Because of many things, Ravenna is a great place for families with children to consider. First of all, many other families with children live here, making Ravenna a place where both parents and children are more likely to develop social ties with other families, as well as find family-oriented services and community. The village’s good public school district and large population of college-educated adults provide an environment conducive to academic values. With regard to real estate, Ravenna has a high rate of owner-occupied single family homes, which tends to reflect stability in the local community. Finally, Ravenna’s overall crime rate is lower than average for the country.
Being a small village, Ravenna does not have a public transit system used by locals to get to and from work.
Demographics
The percentage of people in Ravenna who are college-educated is somewhat higher than the average US community of 21.84%: 25.10% of adults in Ravenna have at least a bachelor's degree.
The per capita income in Ravenna in 2022 was $29,084, which is middle income relative to Michigan, and lower middle income relative to the rest of the US. This equates to an annual income of $116,336 for a family of four. However, Ravenna contains both very wealthy and poor people as well.
Ravenna is a somewhat ethnically-diverse village. The people who call Ravenna home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Ravenna residents report their race to be White, followed by Black or African-American. Important ancestries of people in Ravenna include German, English, Dutch, Irish, and French.
The most common language spoken in Ravenna is English. Other important languages spoken here include Polish 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 Ravenna, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Modes of Transportation
While most Americans do drive to work alone each day, the neighborhood stands out by having 89.4% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 95.6% of all American neighborhoods.
Diversity
Did you know that the neighborhood has more Dutch and Belgian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 16.0% of this neighborhood's residents have Dutch ancestry and 1.3% have Belgian 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 Ravenna are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 62.5% of U.S. neighborhoods. In addition, 10.3% 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 50.2% of America's neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the neighborhood, 31.9% 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 29.1% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (22.1%), and 15.5% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 99.0% of households. Some people also speak Polish (5.3%).
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 Ravenna, MI, residents most commonly identify their ethnicity or ancestry as German (22.4%). There are also a number of people of Dutch ancestry (16.0%), and residents who report English roots (10.3%), and some of the residents are also of Irish ancestry (9.3%), along with some Polish ancestry residents (4.9%), 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 between 15 and 30 minutes commuting one-way to work (37.7% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (89.4%) 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 (6.5%) . 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.
