Sugarloaf median real estate price is $1,728,058, which is more expensive than 93.3% of the neighborhoods in California and 98.6% of the neighborhoods in the U.S.
The average rental price in Sugarloaf is currently $6,369, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 99.7% of the neighborhoods in California.
Sugarloaf is an urban neighborhood (based on population density) located in San Mateo, California.
Sugarloaf real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is owner occupied. Many of the residences in the Sugarloaf neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built before 1940.
Real estate vacancies in Sugarloaf are 5.2%, which is lower than one will find in 68.3% of American neighborhoods. Demand for real estate in Sugarloaf 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.
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 San Mateo, the Sugarloaf neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Wealth makes most things in life easier, and a few things harder. If you are wealthy and enjoy keeping up with the Jones', this neighborhood will interest you. In fact, according to NeighborhoodScout's research, the Sugarloaf neighborhood is wealthier than 99.7% of the neighborhoods in the United States. Residents here are truly in a unique situation even when compared to other Americans, based on the sheer amount of wealth concentrated here. Even in times of economic downturn, residents of this neighborhood, as a group, suffered less and recovered more quickly. This is indeed a stand-out characteristic of this neighborhood. As one would expect in a considerably wealthy neighborhood such as this, Sugarloaf also has one of the lowest ratings of child poverty in the nation.
In addition, if you're a regular supporter of the arts and enjoy outings to the theatre, weekend boutique-ing, or even a finely aged wine with dinner, than you're in good company with the people of the Sugarloaf neighborhood. This neighborhood is uniquely immersed with more "urban sophisticates" than 98.9% of neighborhoods across the country. The people here truly stand out as a class among their own. They are an exclusive community characterized by refined tastes, cultural inclinations, and the means to live well. Urban sophisticates live a big city lifestyle, whether or not they live in or near a big city. They are educated executives or managers by week, and serial patrons of the arts by weekend. If this lifestyle pertains to you, than you'll certainly feel right at home in the Sugarloaf neighborhood. In addition to being an excellent choice for urban sophisticates, this neighborhood is also a very good choice for families with school-aged children and highly educated executives.
Most neighborhoods have a mixture of ages of homes in them, from new to old, but this neighborhood stands out due to its concentration of residential real estate built in one time frame: from 1940 through 1969, generally considered older, well-established homes. This was a busy time in America for home construction. After the end of World War II, as GIs came home, bought newly built homes on the edges of cities with the help of the GI Bill, and began their families. This housing era generally coincides with the 'Baby Boom' generation (1945 - 1964), and many baby boomers grew up in homes built in this era. But what is so interesting about the Sugarloaf neighborhood, is that an incredible 85.3% of the homes here were built in this era. So when you walk its streets or drive through, this neighborhood has a look and feel that harkens to that era in American life, a very important slice of Americana.
In addition, the Sugarloaf neighborhood has earned the amazing distinction of having one of the highest rates of detached, single-family homes of any neighborhood in the U.S. With 98.8% of the residential real estate here made up of free-standing single-family homes, there is a greater proportion of single-family homes here than in 97.0% of all neighborhoods in America.
Did you know that the Sugarloaf neighborhood has more Croatian and 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 Croatian ancestry and 3.2% have Portuguese ancestry.
Sugarloaf is also pretty special linguistically. Significantly, 2.0% of its residents five years old and above primarily speak Japanese at home. While this may seem like a small percentage, it is higher than 98.9% of the neighborhoods in America.
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 Sugarloaf neighborhood in San Mateo are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 99.7% 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 Sugarloaf neighborhood, 66.4% 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 21.1% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (6.7%), and 5.2% in manufacturing and laborer occupations.
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 Sugarloaf neighborhood is English, spoken by 78.0% of households. Other important languages spoken here include Chinese and French.
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 Sugarloaf neighborhood in San Mateo, CA, residents most commonly identify their ethnicity or ancestry as Asian (21.6%). There are also a number of people of Irish ancestry (12.8%), and residents who report German roots (11.7%), and some of the residents are also of English ancestry (9.6%), along with some Spanish ancestry residents (7.7%), among others. In addition, 19.8% of the residents of this neighborhood were born in another country.
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 Sugarloaf neighborhood spend between 45 minutes and one hour commuting one-way to work (34.1% of working residents), longer and tougher than most commutes in America.
Here most residents (71.9%) drive alone in a private automobile to get to work. In addition, quite a number also take the train to get to work (6.9%) and 6.3% of residents also carpool with coworkers, friends, or neighbors 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.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2020 (latest available). Updated annually. Please note: Unemployment data updated November 2022.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2021 calendar year; released from FBI in Oct. 2022 (latest available). Updated annually. Where is 2022 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
| School Details | Grades | Quality Rating Compared to CA* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Abbott Middle School
600 36th Ave. San Mateo, CA 94403 |
06-08 | ||
|
Laurel Elementary School
316 36th Ave. San Mateo, CA 94403 |
KG-05 | ||
|
Hillsdale High School
3115 Del Monte St. San Mateo, CA 94403 |
09-12 | ||
| * 10 is highest | |||
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSAnalytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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