Maple Leaf median real estate price is $635,716, which is more expensive than 75.5% of the neighborhoods in Washington and 86.9% of the neighborhoods in the U.S.
The average rental price in Maple Leaf is currently $3,097, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 91.9% 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 relatively historic, built no later than 1939, and in some cases, quite a bit earlier. A number of residences were also built between 1940 and 1969.
In Maple Leaf, the current vacancy rate is 2.5%, which is a lower rate of vacancies than 89.7% 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.
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 Seattle, the Maple Leaf neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
In a nation where 1 out of every 4 children lives in poverty, the Maple Leaf neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
More people ride the bus in this neighborhood each day to get to work than 98.1% of U.S. neighborhoods.
Executives, managers and professionals make up 65.4% of the workforce in the Maple Leaf neighborhood which, according to NeighborhoodScout's exclusive analysis, is a higher proportion of such high-level people than is found in 95.4% of the neighborhoods in America. For this reason, this neighborhood really stands out as unique.
Did you know that the Maple Leaf neighborhood has more Canadian and Dutch ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.8% of this neighborhood's residents have Canadian ancestry and 3.8% have Dutch ancestry.
Maple Leaf is also pretty special linguistically. Significantly, 6.4% 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 96.5% of the neighborhoods in America.
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. 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 95.5% 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 79.4% 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.
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 Maple Leaf neighborhood, 65.4% 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 17.2% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (10.0%), and 7.4% 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 79.3% of households. Other important languages spoken here include Chinese and Spanish.
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the Maple Leaf neighborhood in Seattle, WA, residents most commonly identify their ethnicity or ancestry as German (18.3%). There are also a number of people of Asian ancestry (15.9%), and residents who report English roots (12.8%), and some of the residents are also of Irish ancestry (12.0%), along with some Norwegian ancestry residents (5.5%), among others. In addition, 18.4% 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 Maple Leaf neighborhood spend between 15 and 30 minutes commuting one-way to work (45.3% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (63.2%) drive alone in a private automobile to get to work. In addition, quite a number also ride the bus to get to work (22.8%) and 7.0% 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: 2018 (latest available). Updated annually. Please note: Unemployment data updated November 2020.
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
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