What do we mean by a neighborhood?
Ä¢¹½ÊÓƵ® 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. Ä¢¹½ÊÓƵ 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.
Calvary / Hugo median real estate price is $114,190, which is less expensive than 84.1% of Alabama neighborhoods and 93.8% of all U.S. neighborhoods.
The average rental price in Calvary / Hugo is currently $1,041, based on Ä¢¹½ÊÓƵ's exclusive analysis. Rents here are currently lower in price than 85.4% of Alabama neighborhoods.
Calvary / Hugo is a remote neighborhood (based on population density) located in Linden, Alabama.
Calvary / Hugo real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and small apartment buildings. Most of the residential real estate is owner occupied. Many of the residences in the Calvary / Hugo 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 Calvary / Hugo. The current real estate vacancy rate here is 24.8%. This is higher than the rate of vacancies in 92.3% of all U.S. neighborhoods. A relatively large percentage of housing here is seasonally occupied (12.8%). 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
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 Ä¢¹½ÊÓƵ's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
People
One of the most interesting things about the Calvary / Hugo neighborhood is that it has a greater concentration of residents who live alone than most all neighborhoods in America. With 57.1% of the households here made up of people living alone, Ä¢¹½ÊÓƵ's research reveals that this is a larger proportion of people living alone than in 98.1% of the neighborhoods in America.
In addition, one of the unique characteristics of the Calvary / Hugo neighborhood revealed by analysis is that the per capita income of residents here is lower than that found in 97.3% of the neighborhoods in America. The Calvary / Hugo neighborhood also has a greater percentage of children living in poverty (60.9%) than found in 97.2% of all U.S. neighborhoods. Children living in poverty is one of the challenges facing America, and the world, and in this neighborhood in particular, the problem can be considered acute.
Real Estate
Unpopulated, and rural, the Calvary / Hugo neighborhood is one of the least crowded neighborhoods in all of America. If you like open space, no traffic, and lots of room, this neighborhood may be just what you are looking for. According to Ä¢¹½ÊÓƵ's leading research, this neighborhood is less densely populated than 94.5% 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 Calvary / Hugo neighborhood in Linden are low income, making it among the lowest income neighborhoods in America. Ä¢¹½ÊÓƵ's research shows that this neighborhood has an income lower than 97.3% of U.S. neighborhoods. With 60.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 97.2% of U.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 Calvary / Hugo neighborhood, 32.2% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 30.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (25.5%), and 12.3% in executive, management, and professional occupations.
Languages
The most common language spoken in the Calvary / Hugo neighborhood is English, spoken by 99.0% of households.
Ethnicity / Ancestry
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 Calvary / Hugo neighborhood in Linden, AL, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (2.4%). There are also a number of people of African ancestry (2.4%), and residents who report Scottish roots (2.2%), and some of the residents are also of Irish ancestry (1.9%), along with some English ancestry residents (1.2%), 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 Calvary / Hugo neighborhood spend under 15 minutes commuting one-way to work (48.5% of working residents), one of the shortest commutes across America.
Here most residents (76.8%) 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 (19.0%) . 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.
