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.
Lima median real estate price is $670,890, which is more expensive than 89.5% of the neighborhoods in Pennsylvania and 75.6% of the neighborhoods in the U.S.
The average rental price in Lima is currently $4,206, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 98.7% of the neighborhoods in Pennsylvania.
Lima is a rural neighborhood (based on population density) located in Media, Pennsylvania.
Lima real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) apartment complexes/high-rise apartments and single-family homes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Lima 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.
Home and apartment vacancy rates are 9.2% in Lima. NeighborhoodScout analysis shows that this rate is lower than 42.0% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 Media, the Lima neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
Of note is NeighborhoodScout's research finding that the Lima 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 Lima community truly stands out from the rest in this regard.
In addition, if you are planning to retire in Pennsylvania, this neighborhood should be on your must-see list. For many reasons, Lima 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 Pennsylvania, 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 99.9% of neighborhoods in PA. If a Pennsylvania retirement is in your future, this neighborhood should be one of the places you visit.
Diversity
Did you know that the Lima neighborhood has more Hungarian and Irish ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.6% of this neighborhood's residents have Hungarian ancestry and 23.8% have Irish ancestry.
The Neighbors
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 Lima neighborhood in Media are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 82.0% 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 Lima neighborhood, 65.2% 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 13.4% of the residents employed. Other residents here are employed in clerical, assistant, and tech support occupations (11.4%), and 10.0% in manufacturing and laborer occupations.
Languages
The most common language spoken in the Lima neighborhood is English, spoken by 92.9% of households.
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 Lima neighborhood in Media, PA, residents most commonly identify their ethnicity or ancestry as Irish (23.8%). There are also a number of people of Italian ancestry (16.1%), and residents who report English roots (14.7%), and some of the residents are also of German ancestry (12.0%), along with some Polish ancestry residents (4.5%), among others.
Getting to Work
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 Lima neighborhood spend between 30 and 45 minutes commuting one-way to work (33.6% of working residents), which is at or a bit above the average length of a commute across all U.S. neighborhoods.
Here most residents (63.7%) drive alone in a private automobile to get to work. In addition, quite a number also take the train to get to work (5.6%) and 5.2% 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.
