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.
Blunt is a tiny city located in the state of South Dakota. With a population of 340 people and just one neighborhood, Blunt is the 126th largest community in South Dakota.
Occupations and Workforce
Unlike some cities where white-collar or blue-collar occupations dominate the local economy, Blunt is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Blunt is a city of professionals, service providers, and sales and office workers. There are especially a lot of people living in Blunt who work in computer science and math (18.80%), management occupations (12.82%), and office and administrative support (8.55%).
Also of interest is that Blunt has more people living here who work in computers and math than 95% of the places in the US.
One interesting thing about the economy is that relatively large numbers of people worked from their home: 17.09% of the workforce. While this number may seem small overall, as a fraction of the total workforce this is high compared to the rest of the county. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Setting & Lifestyle
The overall crime rate in Blunt is one of the lowest in the US. This makes it one of the safer places to live in the country in terms of crime.
Demographics
The education level of Blunt citizens is a little higher than the average for US cities and towns: 23.65% of adults in Blunt have at least a bachelor's degree.
The per capita income in Blunt in 2022 was $39,998, which is wealthy relative to South Dakota, and upper middle income relative to the rest of the US. This equates to an annual income of $159,992 for a family of four. However, Blunt contains both very wealthy and poor people as well.
The people who call Blunt home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Blunt residents report their race to be White, followed by Native American. Important ancestries of people in Blunt include German, Irish, English, Italian, and Scottish.
The most common language spoken in Blunt is English. Other important languages spoken here include Spanish and Native American languages.
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.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 5 residents per square mile, is less crowded than 98.4% of all U.S. neighborhoods.
People
Astoundingly, NeighborhoodScout's research reveals that this single neighborhood has a higher concentration of married couples living here than 98.2% of all U.S. neighborhoods. Whether they have school-aged children or not, married couples are the rule in the neighborhood. If you are a married couple, you may find many people here with a similar lifestyle, and perhaps common interests. But if you are single, you might not find many other singles here.
In addition, if you're looking for a great spot to raise a family, then look no further than the neighborhood. NeighborhoodScout's analysis found that the combination of good quality public schools, above-average safety from crime, and a high rate of home ownership in predominantly single-family homes, help make this neighborhood among the top 10.7% of family-friendly neighborhoods across the state of South Dakota. In addition, there are a high proportion of other families with school-aged children living here, making it easy for parents and their children to socialize and develop a sense of community support. In addition, families here highly value education, as is reflected by the strength of the local schools, in part due to the educational attainment of the parents here, who vote in support of the public schools. In addition to being an excellent choice for families with school-aged children, this neighborhood is also a very good choice for highly educated executives.
Diversity
Did you know that the neighborhood has more Native American and Norwegian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 20.5% of this neighborhood's residents have Native American ancestry and 12.6% have Norwegian 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 Blunt are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 73.8% of the neighborhoods in America. In addition, 8.4% 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 54.7% of America's neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the neighborhood, 48.1% 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 21.9% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (16.7%), and 12.4% in government jobs, whether they are in local, state, or federal positions.
Languages
The most common language spoken in the neighborhood is English, spoken by 98.9% of households. Some people also speak Polish (3.2%).
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 Blunt, SD, residents most commonly identify their ethnicity or ancestry as German (31.6%). There are also a number of people of Native American ancestry (20.5%), and residents who report Norwegian roots (12.6%), and some of the residents are also of Irish ancestry (10.8%), along with some English ancestry residents (5.9%), 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 under 15 minutes commuting one-way to work (47.2% of working residents), one of the shortest commutes across America.
Here most residents (74.1%) 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 (16.6%) . 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.
