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.
Gans Creek median real estate price is $289,179, which is more expensive than 62.1% of the neighborhoods in Missouri and 37.7% of the neighborhoods in the U.S.
The average rental price in Gans Creek is currently $1,944, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 82.8% of the neighborhoods in Missouri.
Gans Creek is a suburban neighborhood (based on population density) located in Columbia, Missouri.
Gans Creek real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) apartment complexes/high-rise apartments and single-family homes. Most of the residential real estate is renter occupied. Many of the residences in the Gans Creek neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 8.9% in Gans Creek. NeighborhoodScout analysis shows that this rate is lower than 43.5% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 Columbia, the Gans Creek neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
An extraordinary 34.5% of the residents of the Gans Creek neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
Real Estate
If you love row houses and attached homes, you will probably really like the Gans Creek neighborhood. The ambiance, the charm, of row houses is something special. And in sheer abundance of row houses, this neighborhood truly stands out. The real estate here has a higher proportion of row houses and attached homes than nearly any neighborhood in America. In fact, 24.7% of the residential real estate here is classified as row houses and attached homes.
Migration / Stability
Do you like to be surrounded by people from all over the country or world, with different perspectives and life experiences? Or do you instead prefer to be in a neighborhood where most residents have lived there for a long time, creating a sense of cohesiveness? NeighborhoodScout's analysis reveals that this neighborhood stands out among American neighborhoods for the uniqueness of the mobility of its residents. In the Gans Creek neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 99.1% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
Diversity
Did you know that the Gans Creek neighborhood has more Austrian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.2% of this neighborhood's residents have Austrian 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 Gans Creek neighborhood in Columbia are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 78.4% of U.S. neighborhoods. With 13.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 57.1% of U.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 Gans Creek neighborhood, 41.4% 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 31.7% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (19.9%), and 7.0% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Gans Creek neighborhood is English, spoken by 92.2% of households. Some people also speak Chinese (4.6%).
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 Gans Creek neighborhood in Columbia, MO, residents most commonly identify their ethnicity or ancestry as German (18.2%). There are also a number of people of Asian ancestry (8.4%), and residents who report English roots (6.8%), and some of the residents are also of Irish ancestry (5.3%), along with some Scottish ancestry residents (4.8%), 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 Gans Creek neighborhood spend under 15 minutes commuting one-way to work (53.4% of working residents), one of the shortest commutes across America.
Here most residents (84.2%) 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.
