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.
Lotus Ln / Nina St median real estate price is $335,617, which is less expensive than 94.2% of California neighborhoods and 55.5% of all U.S. neighborhoods.
The average rental price in Lotus Ln / Nina St is currently $1,429, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 98.2% of California neighborhoods.
Lotus Ln / Nina St is an urban neighborhood (based on population density) located in Bakersfield, California.
Lotus Ln / Nina St 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 small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Lotus Ln / Nina St neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Home and apartment vacancy rates are 7.4% in Lotus Ln / Nina St. NeighborhoodScout analysis shows that this rate is lower than 49.8% 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 Bakersfield, the Lotus Ln / Nina St neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Long commutes can be brutal. They take time, money, and energy, leaving less of you for yourself and your family. The residents of the Lotus Ln / Nina St neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 20.8% of commuters here travel more than one hour just one-way to work. That is more than two hours per day. This percentage with two-hour + round-trip commutes is higher than NeighborhoodScout found in 99.6% of all neighborhoods in America.
Occupations
It used to be that most Americans lived on the farm, or otherwise made their living from the land, the forests, or the sea. With global trade and an economy increasingly based on providing services to one another, fewer people farm, fish or harvest timber now than at any time in American history. But according to NeighborhoodScout's leading analysis, the Lotus Ln / Nina St neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 15.1% of the workforce so employed, this neighborhood has a greater concentration of such workers than 99.5% of U.S. neighborhoods.
People
Whether by choice, divorce, or unplanned pregnancy, single moms may have the toughest job in the book. NeighborhoodScout's exclusive analysis reveals that the Lotus Ln / Nina St neighborhood has more single mother households than 98.3% of the neighborhoods in the U.S. Often high concentrations of single mother homes can be a strong indicator of family and social issues such as poverty, high rates of school dropouts, crime, and other societal problems.
Real Estate
91.8% of the real estate in the Lotus Ln / Nina St neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
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. More residents of the Lotus Ln / Nina St neighborhood live here today that also were living in this same neighborhood five years ago than is found in 100.0% of U.S. neighborhoods. This neighborhood is really made up of people who know each other, don't move often, and have lived here in this very neighborhood for quite a while.
Diversity
Did you know that the Lotus Ln / Nina St neighborhood has more Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 78.4% of this neighborhood's residents have Mexican ancestry.
Lotus Ln / Nina St is also pretty special linguistically. Significantly, 8.3% of its residents five years old and above primarily speak Mon-Khmer, which is the dominant language of Cambodia, at home. While this may seem like a small percentage, it is higher than 100.0% of the neighborhoods in America.
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 Lotus Ln / Nina St 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 89.3% of U.S. neighborhoods. With 13.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 58.7% 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 Lotus Ln / Nina St neighborhood, 28.0% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 26.2% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (18.6%), and 15.1% in farming, forestry, or commercial fishing.
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 Lotus Ln / Nina St neighborhood is Spanish, spoken by 64.5% of households. Other important languages spoken here include English and Mon-Khmer (the dominant language of Cambodia).
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 Lotus Ln / Nina St neighborhood in Bakersfield, CA, residents most commonly identify their ethnicity or ancestry as Mexican (78.4%). There are also a number of people of Asian ancestry (8.7%), and residents who report Puerto Rican roots (2.9%). In addition, 41.1% of the residents of this neighborhood were born in another country.
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 Lotus Ln / Nina St neighborhood spend between 15 and 30 minutes commuting one-way to work (47.9% of working residents), which is shorter than the time spent commuting to work for most Americans. However, there is also a significant group of residents (20.8%) who commute over an hour in each direction.
Here most residents (84.5%) 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 (10.1%) . 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.
