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?
Ä¢¹½ÊÓƵ® 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. Ä¢¹½ÊÓƵ 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.
Shaw - Benoit is a very small town located in the state of Mississippi. With a population of 3,417 people and just one neighborhood, Shaw - Benoit is the 83rd largest community in Mississippi.
Occupations and Workforce
Unlike some towns, Shaw - Benoit isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Shaw - Benoit are a mix of both white- and blue-collar jobs. Overall, Shaw - Benoit is a town of sales and office workers, service providers, and managers. There are especially a lot of people living in Shaw - Benoit who work in management occupations (12.30%), office and administrative support (12.15%), and sales jobs (7.52%).
Setting & Lifestyle
Shaw - Benoit is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
Demographics
The percentage of people in Shaw - Benoit with college degrees is quite a bit lower than the national average for cities and towns of 21.84%: just 12.98% of people over 25 have a bachelor's degree or advanced degree.
The per capita income in Shaw - Benoit in 2022 was $25,955, which is middle income relative to Mississippi, and lower middle income relative to the rest of the US. This equates to an annual income of $103,820 for a family of four. However, Shaw - Benoit contains both very wealthy and poor people as well. Shaw - Benoit also has one of the higher rates of people living in poverty in the nation, with 32.34% of its population below the federal poverty line.
Shaw - Benoit is a very ethnically-diverse town. The people who call Shaw - Benoit home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Shaw - Benoit residents report their race to be Black or African-American, followed by White. Important ancestries of people in Shaw - Benoit include Irish, Italian, English, Jamaican, and African.
The most common language spoken in Shaw - Benoit is English. Other important languages spoken here include Spanish and Italian.
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 Ä¢¹½ÊÓƵ's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
People
Of particular note, 15.3% of the people in the neighborhood currently reside in a correction facility, held due to punishment for a crime.
Real Estate
This neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on Ä¢¹½ÊÓƵ's exclusive analysis, with only 11 people per square mile living here, this neighborhood is less crowded than 96.9% of America.
Diversity
Did you know that the neighborhood has more Jamaican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.8% of this neighborhood's residents have Jamaican 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. Ä¢¹½ÊÓƵ's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the neighborhood in Shaw - Benoit are low income, making it among the lowest income neighborhoods in America. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 94.7% of U.S. neighborhoods. With 42.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 90.7% 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, 32.0% 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 29.8% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (21.0%), and 15.5% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 97.1% of households. Some people also speak Spanish (2.5%).
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the neighborhood in Shaw - Benoit, MS, residents most commonly identify their ethnicity or ancestry as Irish (4.9%). There are also a number of people of Jamaican ancestry (3.8%), and residents who report Sub-Saharan African roots (3.5%), and some of the residents are also of African ancestry (3.5%), along with some Italian ancestry residents (3.2%), 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 (35.5% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (82.5%) 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 (14.1%) . 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.
