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.
Willard median real estate price is $963,489, which is more expensive than 56.0% of the neighborhoods in California and 88.8% of the neighborhoods in the U.S.
The average rental price in Willard is currently $2,559, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 72.7% of California neighborhoods.
Willard is a densely urban neighborhood (based on population density) located in Santa Ana, California.
Willard real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and single-family homes. Most of the residential real estate is renter occupied. Many of the residences in the Willard neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Real estate vacancies in Willard are 3.4%, which is lower than one will find in 77.8% of American neighborhoods. Demand for real estate in Willard is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
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 Santa Ana, the Willard neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
The Willard neighborhood is very unique in that it has one of the highest proportions of one, two, or no bedroom real estate of any neighborhood in America. Most neighborhoods have a mixture of home or apartment sizes from small to large, but here the concentration of studios and other small living spaces is at near-record heights. With 94.6% of the real estate here of this small size, this most assuredly is a notable feature that makes this neighborhood unique, along with just a handful of other neighborhoods in the U.S. that share this characteristic.
In addition, 96.1% of the real estate in the Willard neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
Furthermore, one of the really unique and interesting things about the look and setting of the Willard neighborhood is that it is almost entirely dominated by large apartment buildings, such as apartment complexes or high-rise apartments. 84.0% of the residential real estate here is classified as such. This puts this neighborhood on the map as having a higher proportion of large apartment buildings than 97.3% of all neighborhoods in America.
Also of note, the Willard neighborhood is very densely populated compared to most U.S. neighborhoods. In fact, with 31,960 persons per square mile in the neighborhood, it is more packed with people than 97.2% of the nation's neighborhoods.
Modes of Transportation
In the Willard neighborhood, carpooling is still a popular way to get to and from work. NeighborhoodScout's analysis reveals that 23.2% of commuters carpool here, which is more than in 96.0% of all U.S. neighborhoods.
People
The Willard neighborhood is unique for having just 6.4% of adults here having earned a bachelor's degree. This is a lower rate of college graduates than NeighborhoodScout found in 95.8% of America's neighborhoods.
Occupations
There are more people living in the Willard neighborhood employed as sales and service workers (61.6%) than almost any neighborhood in the country. From fast-food service workers to major sales accounts, sales and service workers make up the largest proportion of our national employment picture. But despite that size and importance nationally, this neighborhood still stands out as unique due to the dominance of people living here who work in such occupations.
Diversity
Did you know that the Willard neighborhood has more Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 84.0% of this neighborhood's residents have Mexican ancestry.
Willard is also pretty special linguistically. Significantly, 86.9% of its residents five years old and above primarily speak Spanish at home. This is a higher percentage than 99.3% of all U.S. neighborhoods.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. What is interesting to note, is that the Willard neighborhood has a greater percentage of residents born in another country (46.9%) than are found in 96.8% of all U.S. neighborhoods.
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 Willard neighborhood in Santa Ana are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 76.6% of U.S. neighborhoods. With 34.2% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 84.9% 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 Willard neighborhood, 38.4% 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 manufacturing and laborer occupations, with 34.0% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (16.9%), and 10.1% in executive, management, and professional occupations.
Languages
The most common language spoken in the Willard neighborhood is Spanish, spoken by 86.9% of households. Some people also speak English (12.4%).
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Willard neighborhood in Santa Ana, CA, residents most commonly identify their ethnicity or ancestry as Mexican (84.0%). In addition, 46.9% 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 Willard neighborhood spend between 15 and 30 minutes commuting one-way to work (48.9% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (63.0%) 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 (23.2%) and 5.7% of residents also ride the bus 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.
