640 Vital Statistics. 30 Condition Alerts found.
Macedonia median real estate price is $86,092, which is less expensive than 76.9% of Alabama neighborhoods and 89.2% of all U.S. neighborhoods.
The average rental price in Macedonia is currently $901, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 58.3% of Alabama neighborhoods.
Macedonia is a suburban neighborhood (based on population density) located in Montgomery, Alabama.
Macedonia real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two 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 Macedonia 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.
Macedonia has a 15.8% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 77.0% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are 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 Montgomery, the Macedonia neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Whether by choice, divorce, or unplanned pregnancy, single moms may have the toughest job in the book. NeighborhoodScout's exclusive analysis reveals that the Macedonia neighborhood has more single mother households than 99.5% of the neighborhoods in the U.S. Often high concentrations of single mother homes can be a strong indicator of family and social issues such as poverty, high rates of school dropouts, crime, and other societal problems.
In addition, of note, 60.8% of the children in this area live in poverty; an extraordinarily high percentage compared to other neighborhoods in the nation. In a nation where approximately one in four children grows up in poverty, this neighborhood stands out for the depth of the problem manifested here.
Our research shows that more people carpool to work here in the Macedonia (20.9%) than in 96.5% of the neighborhoods in America.
NeighborhoodScout's exclusive research identifies the Macedonia neighborhood as having one of the highest concentrations of people employed in manufacturing or as laborers of any neighborhood in America. In fact, despite the loss of manufacturing jobs nationally, this neighborhood has 40.4% of its working residents employed in such fields, which is a higher proportion than 96.3% of American neighborhoods.
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 Macedonia neighborhood in Montgomery are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 94.0% of U.S. neighborhoods. With 60.8% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 96.7% 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 Macedonia neighborhood, 40.4% of the working population is employed in manufacturing and laborer 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 37.1% of the residents employed. Other residents here are employed in executive, management, and professional occupations (12.8%), and 9.7% in clerical, assistant, and tech support occupations.
The most common language spoken in the Macedonia neighborhood is English, spoken by 76.2% of households. Some people also speak Spanish (23.8%).
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 Macedonia neighborhood in Montgomery, AL, residents most commonly identify their ethnicity or ancestry as Mexican (13.0%). In addition, 12.9% of the residents of this neighborhood were born in another country.
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 Macedonia neighborhood spend between 15 and 30 minutes commuting one-way to work (59.0% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (78.5%) 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 (20.9%) . 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. 1 Condition Alert 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: 2017 (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 2017 calendar year; released from FBI in Sept. 2018 (latest available). Updated annually. Where is 2018 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. 6 Condition Alerts found.
Crime | |
---|---|
Macedonia | 0.101011101001110 |
Montgomery | 0.101011101001110 |
Alabama | 5.24 |
Crime | |
---|---|
Macedonia | 0.101011101001110 |
Montgomery | 0.101011101001110 |
Alabama | 29.57 |
Crime | |
---|---|
Macedonia | 0.101011101001110 |
Montgomery | 0.101011101001110 |
Alabama | 15 |
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. 7 Condition Alerts found.
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSDiscipline | 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.
Time Period | Total Appreciation | Avg. Annual Rate |
Compared To
Metro* |
Compared To
America* |
---|---|---|---|---|
3 Year Forecast:
2019 Q3 - 2022 Q3 |
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Latest Quarter:
2019 Q1 - 2019 Q2 |
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Last 12 Months:
2018 Q2 - 2019 Q2 |
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Last 2 Years:
2017 Q2 - 2019 Q2 |
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Last 5 Years:
2014 Q2 - 2019 Q2 |
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Last 10 Years:
2009 Q2 - 2019 Q2 |
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Since 2000:
2000 Q1 - 2019 Q2 |
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* 10 is highest |
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