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.
Old Monroe is a tiny city located in the state of Missouri. With a population of 269 people and just one neighborhood, Old Monroe is the 481st largest community in Missouri.
Old Monroe real estate is some of the most expensive in Missouri, although Old Monroe house values don't compare to the most expensive real estate in the U.S.
Occupations and Workforce
Unlike some cities, Old Monroe isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Old Monroe are a mix of both white- and blue-collar jobs. Overall, Old Monroe is a city of service providers, professionals, and production and manufacturing workers. There are especially a lot of people living in Old Monroe who work in healthcare (16.09%), maintenance occupations (10.34%), and office and administrative support (8.05%).
Also of interest is that Old Monroe has more people living here who work in computers and math than 95% of the places in the US.
Setting & Lifestyle
Residents will find that the city 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, Old Monroe is worth considering.
As is often the case in a small city, Old Monroe doesn't have a public transportation system that people use for their commute.
Demographics
The citizens of Old Monroe have a very low rate of college education: just 7.34% of people over 25 have a bachelor's degree or advanced degree, compared to a national average of 21.84% for all cities.
The per capita income in Old Monroe in 2022 was $23,668, which is lower middle income relative to Missouri, and low income relative to the rest of the US. This equates to an annual income of $94,672 for a family of four. However, Old Monroe contains both very wealthy and poor people as well.
The people who call Old Monroe home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Old Monroe residents report their race to be White. Important ancestries of people in Old Monroe include German, Irish, English, Italian, and Polish.
The most common language spoken in Old Monroe is English. Other important languages spoken here include Italian and Polish.
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 Old Monroe, the neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Modes of Transportation
Our research reveals that 88.5% of commuters who live in the neighborhood get to work each day by driving alone in their automobiles, which is a higher proportion than 95.5% of U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more German and Yugoslav ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 37.7% of this neighborhood's residents have German ancestry and 0.4% have Yugoslav 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 Old Monroe are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 62.3% of the neighborhoods in America. In addition, 8.9% 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 52.8% of America'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, 33.9% 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 32.6% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (26.2%), and 7.3% 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 (5.5%).
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 Old Monroe, MO, residents most commonly identify their ethnicity or ancestry as German (37.7%). There are also a number of people of Irish ancestry (13.2%), and residents who report English roots (7.9%), and some of the residents are also of French ancestry (4.2%), along with some Dutch ancestry residents (3.4%), 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 (29.1% of working residents), longer and tougher than most commutes in America.
Here most residents (88.5%) 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.
