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.
Washington Park median real estate price is $192,416, which is more expensive than 37.6% of the neighborhoods in Missouri and 21.9% of the neighborhoods in the U.S.
The average rental price in Washington Park is currently $1,101, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 81.2% of Missouri neighborhoods.
Washington Park is a suburban neighborhood (based on population density) located in Jefferson City, Missouri.
Washington Park real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is renter occupied. Many of the residences in the Washington Park neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Home and apartment vacancy rates are 6.8% in Washington Park. NeighborhoodScout analysis shows that this rate is lower than 55.0% 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 Jefferson City, the Washington Park neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
One of the most interesting things about the Washington Park neighborhood is that it has a greater concentration of residents who live alone than most all neighborhoods in America. With 57.8% of the households here made up of people living alone, NeighborhoodScout's research reveals that this is a larger proportion of people living alone than in 98.4% of the neighborhoods in America.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the Washington Park neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 68.3% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 98.2% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Occupations
The government often provides some of the more stable jobs in the economy. From local, to state, to federal government workers, the government can also be a major employer. What NeighborhoodScout's analysis revealed, is that the Washington Park neighborhood in particular stands out when compared nationally for the proportion of its working residents who are employed by the government. At 14.4% of its workforce, this neighborhood has a greater concentration of government workers than 96.7% of U.S. neighborhoods.
Diversity
Significantly, 3.3% of its residents five years old and above primarily speak Langs. of India at home. While this may seem like a small percentage, it is higher than 95.1% of the neighborhoods in America.
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. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the Washington Park neighborhood in Jefferson City are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 82.0% of U.S. neighborhoods. With 16.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 63.2% 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 Washington Park neighborhood, 38.8% 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 29.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (20.6%), and 14.4% in government jobs, whether they are in local, state, or federal positions.
Languages
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the Washington Park neighborhood is English, spoken by 92.2% of households. Other important languages spoken here include Langs. of India and Polish.
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 Washington Park neighborhood in Jefferson City, MO, residents most commonly identify their ethnicity or ancestry as German (28.6%). There are also a number of people of Irish ancestry (8.2%), and residents who report English roots (6.0%), and some of the residents are also of Asian ancestry (5.6%), along with some Mexican ancestry residents (2.0%), 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 Washington Park neighborhood spend under 15 minutes commuting one-way to work (68.3% of working residents), one of the shortest commutes across America.
Here most residents (77.5%) 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 (12.5%) and 5.1% of residents also hop out the door and walk to work for their daily commute. 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.
