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.
Lake Shastina median real estate price is $373,916, which is less expensive than 91.7% of California neighborhoods and 48.3% of all U.S. neighborhoods.
The average rental price in Lake Shastina is currently $1,853, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 90.7% of California neighborhoods.
Lake Shastina is a remote neighborhood (based on population density) located in Weed, California.
Lake Shastina real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and mobile homes. Most of the residential real estate is owner occupied. Many of the residences in the Lake Shastina 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.
Lake Shastina has a 14.0% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 75.5% of American neighborhoods). A relatively large percentage of housing here is seasonally occupied (9.4%), which can occur in some markets dominated by colleges or vacation homes. If you live here year round, you will find many of the homes or apartments are empty for all or a portion of the year.
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 Weed, the Lake Shastina neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
In a nation where 1 out of every 4 children lives in poverty, the Lake Shastina neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
In addition, if you're nearing retirement age, or in retirement, the Lake Shastina is an excellent choice for you to consider for top-quality retirement living. This neighborhood is rated by NeighborhoodScout as among the top 9.5% of retiree-friendly neighborhoods in California, combining peace and quiet, safety from crime, and offering diverse housing options from which retirees can choose. Maybe it's because of these amenities that a large proportion of the residents here are college educated seniors, mixed with other age groups. For these and other reasons, NeighborhoodScout identifies this neighborhood as a top-notch place to consider if you are thinking of or planning to retire in California.
Real Estate
Uncrowded roads, rural America and space to be the individual you are. If you like these characteristics, this neighborhood may fit you. With just 28 residents per square mile, Lake Shastina is less crowded than 93.1% of all U.S. neighborhoods.
Diversity
Did you know that the Lake Shastina neighborhood has more Portuguese ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.2% of this neighborhood's residents have Portuguese 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 Lake Shastina neighborhood in Weed are middle-income, making it a moderate income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 49.5% of the neighborhoods in America. In addition, 0.0% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 100.0% of America's neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Lake Shastina neighborhood, 41.3% 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 23.0% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (19.0%), and 16.3% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Lake Shastina neighborhood is English, spoken by 93.6% of households. Some people also speak Spanish (4.8%).
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 Lake Shastina neighborhood in Weed, CA, residents most commonly identify their ethnicity or ancestry as German (17.3%). There are also a number of people of English ancestry (16.8%), and residents who report Irish roots (12.7%), and some of the residents are also of Mexican ancestry (9.0%), along with some French ancestry residents (5.9%), 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 Lake Shastina neighborhood spend between 15 and 30 minutes commuting one-way to work (55.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (81.5%) 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 (7.2%) . 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.
