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.
Fluhr median real estate price is $471,811, which is less expensive than 81.5% of California neighborhoods and 35.7% of all U.S. neighborhoods.
The average rental price in Fluhr is currently $1,642, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 93.9% of California neighborhoods.
Fluhr is a suburban neighborhood (based on population density) located in Atwater, California.
Fluhr real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes 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 Fluhr 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.
In Fluhr, the current vacancy rate is 1.5%, which is a lower rate of vacancies than 89.2% of all neighborhoods in the U.S. This means that the housing supply in Fluhr is very tight compared to the demand for property here.
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.
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 Fluhr neighborhood stands apart from most American neighborhood due to the proportion of its residents still working in these fields. With 5.4% of the workforce so employed, this neighborhood has a greater concentration of such workers than 97.2% of U.S. neighborhoods.
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 Fluhr neighborhood unfortunately have the distinction of having, on average, a longer commute than most any neighborhood in America. 12.1% 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 97.2% of all neighborhoods in America.
Diversity
Did you know that the Fluhr neighborhood has more Czechoslovakian and Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.1% of this neighborhood's residents have Czechoslovakian ancestry and 56.0% have Mexican 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 Fluhr neighborhood in Atwater are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 60.8% 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 63.3% 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 Fluhr neighborhood, 41.1% 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 25.2% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (17.4%), and 11.0% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Fluhr neighborhood is English, spoken by 55.9% of households. Some people also speak Spanish (41.6%).
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 Fluhr neighborhood in Atwater, CA, residents most commonly identify their ethnicity or ancestry as Mexican (56.0%). There are also a number of people of Irish ancestry (8.8%), and residents who report German roots (8.3%), and some of the residents are also of English ancestry (5.1%), along with some Italian ancestry residents (4.0%), among others. In addition, 16.3% of the residents of this neighborhood were born in another country.
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 Fluhr neighborhood spend between 15 and 30 minutes commuting one-way to work (27.8% 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 (12.1%) who commute over an hour in each direction.
Here most residents (86.4%) 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 (7.5%) . 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.
