What do we mean by a neighborhood?
NeighborhoodScout® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. NeighborhoodScout contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
Maximo / Eckerd College median real estate price is $825,228, which is more expensive than 88.2% of the neighborhoods in Florida and 85.7% of the neighborhoods in the U.S.
The average rental price in Maximo / Eckerd College is currently $2,663, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 48.7% of Florida neighborhoods.
Maximo / Eckerd College is a suburban neighborhood (based on population density) located in St. Petersburg, Florida. This is a coastal neighborhood (i.e., is on the ocean, a bay, or inlet).
Maximo / Eckerd College 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 Maximo / Eckerd College neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built between 1940 and 1969.
Vacant apartments or homes are a major fact of life in Maximo / Eckerd College. The current real estate vacancy rate here is 24.7%. This is higher than the rate of vacancies in 91.6% of all U.S. neighborhoods. A relatively large percentage of housing here is seasonally occupied (17.9%). 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.
Notable & Unique Neighborhood Characteristics
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 St. Petersburg, the Maximo / Eckerd College neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Real Estate
Maximo / Eckerd College 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, Maximo / Eckerd College 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.
People
In a nation where 1 out of every 4 children lives in poverty, the Maximo / Eckerd College neighborhood stands out as being ranked among the lowest 0.0% of neighborhoods affected by this global issue.
In addition, an extraordinary 40.0% of the residents of the Maximo / Eckerd College neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
Modes of Transportation
More people in Maximo / Eckerd College choose to walk to work each day (20.3%) than almost any neighborhood in America. If you are attracted to the idea of being able to walk to work, this neighborhood could be a good choice.
Also, in the Maximo / Eckerd College neighborhood, many people's commute means walking from the bedroom to the home office. NeighborhoodScout's analysis found that 29.9% of residents worked from home. This may not seem like a large number, but Scout's research shows that this is a higher percentage of people working from home than 96.9% of the neighborhoods in America. Often people who work from home are engaged in the creative or technological economy, such as is found in areas around Boston, and in Silicon Valley. Other times, people may be engaged in other businesses like trading stocks from home, or running a small beauty salon.
Diversity
Did you know that the Maximo / Eckerd College neighborhood has more Croatian and Belgian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.1% of this neighborhood's residents have Croatian ancestry and 0.6% have Belgian ancestry.
Maximo / Eckerd College is also pretty special linguistically. Significantly, 3.1% of its residents five years old and above primarily speak French at home. While this may seem like a small percentage, it is higher than 95.5% of the neighborhoods in America.
The Neighbors
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 Maximo / Eckerd College neighborhood in St. Petersburg are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 73.2% 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.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the Maximo / Eckerd College neighborhood, 40.4% 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 33.8% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (15.5%), and 10.3% in manufacturing and laborer occupations.
Languages
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 Maximo / Eckerd College neighborhood is English, spoken by 89.4% of households. Other important languages spoken here include Spanish and French.
Ethnicity / Ancestry
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 Maximo / Eckerd College neighborhood in St. Petersburg, FL, residents most commonly identify their ethnicity or ancestry as German (14.3%). There are also a number of people of Irish ancestry (12.5%), and residents who report English roots (11.7%), and some of the residents are also of Italian ancestry (9.9%), along with some Polish ancestry residents (4.1%), among others. In addition, 10.0% of the residents of this neighborhood were born in another country.
Getting to Work
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 Maximo / Eckerd College neighborhood spend under 15 minutes commuting one-way to work (45.7% of working residents), one of the shortest commutes across America.
Here most residents (42.1%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (20.3%) 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.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
