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.
Smithsburg is a very small town located in the state of Maryland. With a population of 3,121 people and just one neighborhood, Smithsburg is the 166th largest community in Maryland.
Occupations and Workforce
Unlike some towns, Smithsburg isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Smithsburg are a mix of both white- and blue-collar jobs. Overall, Smithsburg is a town of sales and office workers, professionals, and managers. There are especially a lot of people living in Smithsburg who work in office and administrative support (19.59%), management occupations (13.03%), and healthcare (8.96%).
Also of interest is that Smithsburg 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 Smithsburg, however, is that residents on average have to contend with a long commute, spending on average 35.68 minutes every day commuting to work.
Demographics
The citizens of Smithsburg are slightly better educated than the national average of 21.84% for all cities and towns, with 24.61% of adults in Smithsburg having a bachelor's degree or advanced degree.
The per capita income in Smithsburg in 2022 was $37,171, which is lower middle income relative to Maryland, and upper middle income relative to the rest of the US. This equates to an annual income of $148,684 for a family of four. However, Smithsburg contains both very wealthy and poor people as well.
The people who call Smithsburg home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Smithsburg residents report their race to be White, followed by Black or African-American. Important ancestries of people in Smithsburg include German, Irish, English, French, and Italian.
The most common language spoken in Smithsburg is English. Other important languages spoken here include Polish and Spanish.
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.
Modes of Transportation
While most Americans do drive to work alone each day, the neighborhood stands out by having 89.0% of commuters doing so, which is a higher proportion of people driving alone to work than NeighborhoodScout found in 95.0% of all American neighborhoods.
Diversity
Did you know that the neighborhood has more Swiss ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.5% of this neighborhood's residents have Swiss 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 Smithsburg are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 66.3% of the neighborhoods in America. In addition, 10.1% 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 50.4% 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, 39.5% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 24.0% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (18.4%), and 17.3% in manufacturing and laborer occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 96.6% of households. Some people also speak Polish (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 Smithsburg, MD, residents most commonly identify their ethnicity or ancestry as German (32.2%). There are also a number of people of Irish ancestry (20.1%), and residents who report English roots (8.7%), and some of the residents are also of French ancestry (4.8%), along with some Italian ancestry residents (2.6%), 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 15 and 30 minutes commuting one-way to work (30.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (89.0%) 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.
