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.
Simla is a tiny town located in the state of Colorado. With a population of 606 people and just one neighborhood, Simla is the 199th largest community in Colorado. Much of the housing stock in Simla was built prior to World War II, making it one of the older and more historic towns in the country.
Occupations and Workforce
Unlike some towns where white-collar or blue-collar occupations dominate the local economy, Simla is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Simla is a town of service providers, construction workers and builders, and sales and office workers. There are especially a lot of people living in Simla who work in sales jobs (14.24%), food service (12.50%), and healthcare suport services (9.03%).
One interesting thing about the economy is that relatively large numbers of people worked from their home: 10.07% 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
As is often the case in a small town, Simla doesn't have a public transportation system that people use for their commute.
Demographics
In terms of college education, Simla is nearly on par with the US average for all cities of 21.84%: 20.00% of adults 25 and older in Simla have a bachelor's degree or advanced degree.
The per capita income in Simla in 2022 was $40,870, which is middle income relative to Colorado, and upper middle income relative to the rest of the US. This equates to an annual income of $163,480 for a family of four. However, Simla contains both very wealthy and poor people as well.
Simla is a somewhat ethnically-diverse town. The people who call Simla home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Simla residents report their race to be White, followed by Black or African-American. Important ancestries of people in Simla include German, Irish, English, Scottish, and Italian.
The most common language spoken in Simla 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.
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 2 residents per square mile, is less crowded than 99.1% of all U.S. neighborhoods.
Diversity
Did you know that the neighborhood has more Slovak and Czechoslovakian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.4% of this neighborhood's residents have Slovak ancestry and 0.6% have Czechoslovakian 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 Simla are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 48.1% of the neighborhoods in America. With 18.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 65.9% of U.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, 35.5% 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 26.9% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (17.3%), and 16.8% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the neighborhood is English, spoken by 97.0% of households. Some people also speak Polish (3.7%).
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 Simla, CO, residents most commonly identify their ethnicity or ancestry as German (23.2%). There are also a number of people of English ancestry (16.6%), and residents who report Irish roots (12.9%), and some of the residents are also of Scottish ancestry (4.9%), along with some Italian ancestry residents (2.9%), 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 (32.9% of working residents), longer and tougher than most commutes in America.
Here most residents (76.9%) 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 (8.4%) . 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.
