640 Vital Statistics. 19 Condition Alerts found.
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Median real estate price in the Town Center of Severna Park is $581,534, which is more expensive than 88.6% of the neighborhoods in Maryland and 88.1% of the neighborhoods in the U.S.
The average rental price in Severna Park Town Center is currently $2,519, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 86.3% of the neighborhoods in Maryland.
Severna Park Town Center is a suburban neighborhood (based on population density) located in Severna Park, Maryland. This is a coastal neighborhood (i.e., is on the ocean, a bay, or inlet).
Real estate in the Town Center of Severna Park, MD is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Town Center neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 7.6% in Severna Park Town Center. NeighborhoodScout analysis shows that this rate is lower than 57.8% of the neighborhoods in the nation, approximately near the middle range for vacancies.
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
Severna Park Town Center is a neighborhood that is on the ocean, a bay, or inlet. Many times, such places have amenities that bring locals and visitors to the waterfront for recreational activities or to check out the scenery. In some densely populated areas that are less financially well-off, the neighborhood waterfront can be relatively industrial and less open to recreation. In addition to being coastal, Severna Park Town Center is a very nautical neighborhood, meaning that it is somewhat historic, walkable, densely populated and on the water. This gives the neighborhood a very nautical feel, with some seaside and shipping feel, which some may really enjoy the sights and sounds of.
Did you know that the Severna Park Town Center neighborhood has more Armenian and Welsh ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.4% of this neighborhood's residents have Armenian ancestry and 2.7% have Welsh ancestry.
Severna Park Town Center is also pretty special linguistically. Significantly, 11.5% of its residents five years old and above primarily speak Italian at home. While this may seem like a small percentage, it is higher than 98.3% of the neighborhoods in America.
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 Severna Park Town Center neighborhood. This neighborhood is uniquely immersed with more "urban sophisticates" than 96.5% 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 Severna Park Town Center 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.
In addition, 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 Severna Park Town Center neighborhood is wealthier than 95.6% 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.
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 Town Center neighborhood in Severna Park 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 95.6% of the neighborhoods in America. In addition, 2.0% 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 86.2% 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 Severna Park Town Center neighborhood, 57.0% 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 23.3% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (10.5%), and 9.2% in manufacturing and laborer occupations.
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 Town Center neighborhood in Severna Park, MD, residents most commonly identify their ethnicity or ancestry as German (32.9%). There are also a number of people of English ancestry (16.9%), and residents who report Irish roots (16.1%), and some of the residents are also of Italian ancestry (11.5%), along with some Scottish ancestry residents (4.9%), among others.
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 Severna Park Town Center neighborhood is English, spoken by 95.6% of households. Other important languages spoken here include Italian and Spanish.
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 Severna Park Town Center neighborhood spend between 15 and 30 minutes commuting one-way to work (31.8% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (91.9%) 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 (6.5%) . 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
44 Vital Statistics. 6 Condition Alerts found.
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: 2016 (latest available). Updated annually.
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
136 Vital Statistics. 1 Condition Alert found.
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2016 calendar year; released from FBI in Sept. 2017 (latest available). Updated annually. Where is 2017 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
67 Vital Statistics. 1 Condition Alert found.
| Crime | |
|---|---|
| Town Center | 0.101011101001110 |
| Severna Park | 0.101011101001110 |
| Maryland | 4.72 |
| Crime | |
|---|---|
| Town Center | 0.101011101001110 |
| Severna Park | 0.101011101001110 |
| Maryland | 22.84 |
| Crime | |
|---|---|
| Town Center | 0.101011101001110 |
| Severna Park | 0.101011101001110 |
| Maryland | 57 |
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
65 Vital Statistics. 3 Condition Alerts found.
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLS| Discipline | District | State |
|---|---|---|
| Proficiency in Reading and Math | 0.101011101001110 | 0.101011101001110 |
| Proficiency in Reading | 0.101011101001110 | 0.101011101001110 |
| Proficiency in Math | 0.101011101001110 | 0.101011101001110 |
Analytics 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
328 Vital Statistics. 8 Condition Alerts found.
| Time Period | Total Appreciation | Avg. Annual Rate |
Compared To
Metro* |
Compared To
America* |
|---|---|---|---|---|
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3 Year Forecast:
2018 Q2 - 2021 Q2 |
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Latest Quarter:
2017 Q4 - 2018 Q1 |
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Last 12 Months:
2017 Q1 - 2018 Q1 |
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Last 2 Years:
2016 Q1 - 2018 Q1 |
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Last 5 Years:
2013 Q1 - 2018 Q1 |
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Last 10 Years:
2008 Q1 - 2018 Q1 |
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Since 2000:
2000 Q1 - 2018 Q1 |
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| * 10 is highest | ||||
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