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.
Kern City median real estate price is $319,355, which is less expensive than 93.4% of California neighborhoods and 54.8% of all U.S. neighborhoods.
The average rental price in Kern City is currently $1,894, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 89.0% of California neighborhoods.
Kern City is a suburban neighborhood (based on population density) located in Bakersfield, California.
Kern City real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Kern City neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Kern City has a 11.6% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 67.9% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
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 Bakersfield, the Kern City neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
Astoundingly, the Kern City neighborhood has one of the highest concentrations of divorcees living here than of any neighborhood, a higher concentration than NeighborhoodScout found in 99.0% of U.S. neighborhoods. This may be because people living here divorce more often than others, or that divorced people move here after they become divorced. If you are divorced, you will be in good company in this particular Bakersfield neighborhood.
Real Estate
Many people dream of living along a street lined with row houses or other attached homes. Such places do often have an abundance of charm. If you are one of these people, the Kern City neighborhood could be your paradise. With 23.8% of the homes and real estate here classified as rowhouses or other attached homes, this neighborhood brims with opportunity to find the right place for you. Only 4.9% of U.S. neighborhoods have more row houses than this neighborhood, making it one of the most interesting things about this special neighborhood.
Diversity
Did you know that the Kern City neighborhood has more Armenian and Swiss ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.3% of this neighborhood's residents have Armenian ancestry and 2.3% have Swiss ancestry.
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 Kern City neighborhood in Bakersfield are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 85.4% of U.S. neighborhoods. With 33.6% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 84.5% 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 Kern City neighborhood, 47.8% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 19.6% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (19.0%), and 13.6% in clerical, assistant, and tech support occupations.
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 Kern City neighborhood is English, spoken by 86.9% of households. Other important languages spoken here include Spanish and Italian.
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 Kern City neighborhood in Bakersfield, CA, residents most commonly identify their ethnicity or ancestry as English (18.8%). There are also a number of people of German ancestry (15.0%), and residents who report Mexican roots (13.8%), and some of the residents are also of Irish ancestry (7.7%), along with some Italian ancestry residents (5.3%), 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 Kern City neighborhood spend under 15 minutes commuting one-way to work (48.1% of working residents), one of the shortest commutes across America.
Here most residents (85.4%) 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.
