Maple Leaf median real estate price is $713,027, which is more expensive than 81.1% of the neighborhoods in Washington and 89.7% of the neighborhoods in the U.S.
The average rental price in Maple Leaf is currently $2,831, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 91.2% of the neighborhoods in Washington.
Maple Leaf is an urban neighborhood (based on population density) located in Seattle, Washington.
Maple Leaf real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Maple Leaf neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 2000 and the present.
In Maple Leaf, the current vacancy rate is 1.2%, which is a lower rate of vacancies than 94.8% of all neighborhoods in the U.S. This means that the housing supply in Maple Leaf is very tight compared to the demand for property here.
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to NeighborhoodScout's exclusive exploration and analysis.
Of note is NeighborhoodScout's research finding that the Maple Leaf neighborhood has some of the lowest rates of children living in poverty of any neighborhood in the United States. In a nation where approximately 1 in 4 children are living in poverty, the Maple Leaf community truly stands out from the rest in this regard.
Our research revealed that more commuters here take the bus to work (25.0% ride the bus) than 98.6% of all American neighborhoods. If you like the idea of leaving your car and home and hopping the bus to work, this might be a good neighborhood for you to consider.
The Maple Leaf neighborhood has a higher proportion of its residents employed as executives, managers and professionals than 96.7% of the neighborhoods in America. In fact, 68.8% of the employed people here make a living as an executive, a manager, or other professional. With such a high concentration, this truly shapes the character of this neighborhood, and to a large degree defines what this neighborhood is about.
Did you know that the Maple Leaf neighborhood has more Canadian and Finnish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.3% of this neighborhood's residents have Canadian ancestry and 1.1% have Finnish ancestry.
Maple Leaf is also pretty special linguistically. Significantly, 7.3% of its residents five years old and above primarily speak Chinese at home. While this may seem like a small percentage, it is higher than 97.0% of the neighborhoods in America.
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. In the Maple Leaf neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 95.2% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
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 Maple Leaf neighborhood in Seattle are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 80.4% 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.
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 Maple Leaf neighborhood, 68.8% 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 14.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (9.6%), and 7.1% 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 Maple Leaf neighborhood is English, spoken by 77.6% of households. Other important languages spoken here include Chinese and Spanish.
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 Maple Leaf neighborhood in Seattle, WA, residents most commonly identify their ethnicity or ancestry as German (18.0%). There are also a number of people of Asian ancestry (16.2%), and residents who report English roots (12.7%), and some of the residents are also of Irish ancestry (11.6%), along with some Norwegian ancestry residents (5.0%), among others. In addition, 19.0% of the residents of this neighborhood were born in another country.
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 Maple Leaf neighborhood spend between 15 and 30 minutes commuting one-way to work (40.8% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (62.7%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (25.0%) and 5.7% 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: 2019 (latest available). Updated annually. Please note: Unemployment data updated February 2021.
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 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 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 WA* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Daniel Bagley Elementary School
7821 Stone Av N Seattle, WA 98103 |
KG-05 | ||
|
Eckstein Middle School
3003 Ne 75 St Seattle, WA 98115 |
06-08 | ||
|
Ingraham High School
1819 N 135 St Seattle, WA 98133 |
09-12 | ||
|
Nathan Hale High School
10750 30 Av Ne Seattle, WA 98125 |
09-12 | ||
|
Olympic View Elementary School
504 Ne 95 St Seattle, WA 98115 |
KG-05 | ||
|
Viewlands Elementary School
10525 3 Av Nw Seattle, WA 98177 |
PK-05 | ||
|
Whitman Middle School
9201 15 Av Nw Seattle, WA 98117 |
06-08 | ||
| * 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
Disclaimer
Forecasts of potential occurrences or non-occurrences of future conditions and events are inherently uncertain. Actual
results may differ materially from what is predicted in any information provided by Location Inc. Nothing contained in or
generated by a Location Inc. product or services is, or should be relied upon as, a promise or representation as to the future
performance or prediction of real estate values. No representation is made as to the accuracy of any forecast, estimate, or
projection. Location Inc. makes no express or implied warranty and all information and content is provided "As is" without
any warranties of any kind. Location Inc. expressly disclaims any warranty of accuracy or predictability, and any warranty of
merchantability and fitness for a particular purpose. Location Inc. further disclaims any liability for damages, loss, or injury
arising out of the use this site and the data. All risks associated with using the site and the data are borne by the user at
user's sole cost and expense. By using the site you agree to our
Terms of Use.
