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640 Vital Statistics. 32 Condition Alerts found.
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Ocean Pines median real estate price is $378,644, which is more expensive than 55.0% of the neighborhoods in Maryland and 69.1% of the neighborhoods in the U.S.
The average rental price in Ocean Pines is currently $1,912, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 43.1% of Maryland neighborhoods.
Ocean Pines is a suburban neighborhood (based on population density) located in Berlin, Maryland. This is a coastal neighborhood (i.e., is on the ocean, a bay, or inlet).
Ocean Pines real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and small apartment buildings. Most of the residential real estate is owner occupied. Many of the residences in the Ocean Pines neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 2000 and the present.
Vacant apartments or homes are a major fact of life in Ocean Pines. The current real estate vacancy rate here is 42.3%. This is higher than the rate of vacancies in 97.5% of all U.S. neighborhoods. A relatively large percentage of housing here is seasonally occupied (39.9%). This can occur in vacation areas, and occasionally it is also found in neighborhoods that are primarily filled with college students, as some apartments could be vacant when school is not in session. If you live here year round, you may find that a number of buildings in your neighborhood are actually empty.
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 Berlin, the Ocean Pines neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Ocean Pines 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, Ocean Pines 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.
In addition, despite all of the residential real estate here in the Ocean Pines neighborhood, NeighborhoodScout has discovered that much of it is vacant. In resort or second-home vacation areas, this naturally occurs because homes and apartments are seasonally occupied, and empty for a portion of the year. In non-vacation or resort areas, however, this can be an indicator of property abandonment or a weak real estate market. The vacancy rate here is 42.3%, which is higher than 97.5% of all U.S. neighborhoods.
Furthermore, most neighborhoods are composed of a mixture of ages of homes, but the Ocean Pines stands out as rather unique in having nearly all of its residential real estate built in one time period, namely between 1970 and 1999, generally considered to be established, but not old housing. What you'll sense when you look around or drive the streets of this neighborhood is that many of the residences look the same because of this similarity of age. In fact, 80.4% of the residential real estate here was built in this one time period.
If you are planning to retire in Maryland, this neighborhood should be on your must-see list. For many reasons, Ocean Pines may be considered a retiree's dream neighborhood. According to NeighborhoodScout's exclusive analysis and metrics, it's peaceful and quiet, has above average safety from crime compared to other neighborhoods in Maryland, while also offering a diverse range of housing options. This, along with the vibrant mix of very educated seniors and other age groups who choose to live here, makes the neighborhood more retiree-friendly than 95.1% of neighborhoods in MD. If a Maryland retirement is in your future, this neighborhood should be one of the places you visit. In addition to being an excellent choice for active retirees, this neighborhood is also a very good choice for families with school-aged children.
The Ocean Pines neighborhood stands out nationally for having a greater proportion of its residents active in the military than 95.1% of other U.S. neighborhoods. If you come here, you will notice military people active in their jobs, going to and from work, and in plain clothes out and about the neighborhood.
Did you know that the Ocean Pines neighborhood has more Lebanese and Hungarian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.4% of this neighborhood's residents have Lebanese ancestry and 4.6% have Hungarian ancestry.
Ocean Pines is also pretty special linguistically. Significantly, 0.9% 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 97.2% of the neighborhoods in America.
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 Ocean Pines neighborhood in Berlin are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 77.4% of the neighborhoods in America. In addition, 11.2% 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 56.7% 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 Ocean Pines neighborhood, 51.1% 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 19.8% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (16.2%), and 12.9% in manufacturing and laborer occupations.
The most common language spoken in the Ocean Pines neighborhood is English, spoken by 93.2% of households.
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 Ocean Pines neighborhood in Berlin, MD, residents most commonly identify their ethnicity or ancestry as German (28.5%). There are also a number of people of Irish ancestry (23.2%), and residents who report English roots (11.8%), and some of the residents are also of Italian ancestry (11.0%), along with some Polish ancestry residents (5.4%), among others.
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 Ocean Pines neighborhood spend between 15 and 30 minutes commuting one-way to work (47.5% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (89.0%) 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 (9.4%) . 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. 3 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: 2018 (latest available). Updated annually. Please note: Unemployment data updated July 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
136 Vital Statistics. 0 Condition Alerts found.
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2018 calendar year; released from FBI in Sept. 2019 (latest available). Updated annually. Where is 2019 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. 3 Condition Alerts found.
| Crime | |
|---|---|
| Ocean Pines | 0.101011101001110 |
| Berlin | 0.101011101001110 |
| Maryland | 4.69 |
| Crime | |
|---|---|
| Ocean Pines | 0.101011101001110 |
| Berlin | 0.101011101001110 |
| Maryland | 20.33 |
| Crime | |
|---|---|
| Ocean Pines | 0.101011101001110 |
| Berlin | 0.101011101001110 |
| Maryland | 52 |
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. 11 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. 15 Condition Alerts found.
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