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.
Odessa is a somewhat small city located in the state of Missouri. With a population of 5,606 people and just one neighborhood, Odessa is the 125th largest community in Missouri.
Occupations and Workforce
Unlike some cities, Odessa isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Odessa are a mix of both white- and blue-collar jobs. Overall, Odessa is a city of sales and office workers, managers, and service providers. There are especially a lot of people living in Odessa who work in office and administrative support (15.49%), business and financial occupations (13.80%), and sales jobs (7.80%).
Odessa is home to a number of people employed in the armed forces. When you visit or walk around Odessa, some of the people you will bump into will be military people In and out of uniform, jogging, shopping and generally out and about town.
Also of interest is that Odessa has more people living here who work in computers and math than 95% of the places in the US.
Setting & Lifestyle
One downside of living in Odessa is that it can take a long time to commute to work. In Odessa, the average commute to work is 31.91 minutes, which is quite a bit higher than the national average.
Being a small city, Odessa does not have a public transit system used by locals to get to and from work.
Demographics
The population of Odessa 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 Odessa, 23.21% have at least a bachelor's degree.
The per capita income in Odessa in 2022 was $35,165, which is wealthy relative to Missouri, and upper middle income relative to the rest of the US. This equates to an annual income of $140,660 for a family of four. However, Odessa contains both very wealthy and poor people as well.
The people who call Odessa home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Odessa residents report their race to be White, followed by Black or African-American. Important ancestries of people in Odessa include German, English, Irish, Scottish, and Scandinavian.
The most common language spoken in Odessa is English. Other important languages spoken here include Italian 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.
Occupations
With 1.9% of employed workers living in the neighborhood active in the military, this neighborhood has the distinction of having a higher proportion of people in the military than 96.1% of American neighborhoods. This is a major shaper of the neighborhood's culture and character.
People
With a nice mix of college students, safety from crime, and decent walkability, the neighborhood rates highly as a college student friendly place to live, and one that college students and their parents may want to consider. NeighborhoodScout's analysis shows that it rates more highly for a good place for college students to live than 88.8% of the neighborhoods in MO. This often also means that the area has certain amenities and services geared towards college students, from undergraduates to graduate students.
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 Odessa are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 64.3% of the neighborhoods in America. In addition, 3.1% 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 70.9% 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, 35.9% 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 24.3% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (22.7%), and 17.1% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.2% of households. Some people also speak Italian (2.8%).
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 Odessa, MO, residents most commonly identify their ethnicity or ancestry as German (21.9%). There are also a number of people of English ancestry (9.5%), and residents who report Irish roots (6.8%), and some of the residents are also of Scottish ancestry (2.5%), along with some Mexican ancestry residents (1.6%), 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 45 minutes and one hour commuting one-way to work (28.5% of working residents), longer and tougher than most commutes in America.
Here most residents (86.9%) 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 (7.1%) . 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.
