Midland median real estate price is $444,379, which is more expensive than 78.3% of the neighborhoods in Georgia and 67.0% of the neighborhoods in the U.S.
The average rental price in Midland is currently $1,742, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 52.8% of Georgia neighborhoods.
Midland is a suburban neighborhood (based on population density) located in Columbus, Georgia.
Midland real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is owner occupied. Many of the residences in the Midland neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 10.1% in Midland. NeighborhoodScout analysis shows that this rate is lower than 41.0% of the neighborhoods in the nation, approximately near the middle range for vacancies.
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 Columbus, the Midland neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
Astoundingly, the Midland neighborhood has one of the highest concentrations of divorcees living here than of any neighborhood, a higher concentration than NeighborhoodScout found in 98.0% of U.S. neighborhoods. This may be because people living here divorce more often than others, or that divorced people move here after they become divorced. If you are divorced, you will be in good company in this particular Columbus neighborhood.
Homes built from 2000 through today make up a higher proportion of the Midland neighborhood's real estate landscape than 97.6% of the neighborhoods in America. When you are driving around this neighborhood, you'll notice right away that it is one of the newest built of any, with the smell of fresh paint, and the look of young landscaping nearly everywhere you look. In fact, 78.6% of the residential real estate here is classified as newer.
With 2.4% of employed workers living in the Midland neighborhood active in the military, this neighborhood has the distinction of having a higher proportion of people in the military than 97.4% of American neighborhoods. This is a major shaper of the neighborhood's culture and character.
Did you know that the Midland neighborhood has more British and Cuban ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.8% of this neighborhood's residents have British ancestry and 4.5% have Cuban ancestry.
Midland is also pretty special linguistically. Significantly, 3.5% of its residents five years old and above primarily speak Korean at home. While this may seem like a small percentage, it is higher than 98.0% 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 Midland neighborhood in Columbus are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 85.9% of the neighborhoods in America. With 21.7% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 69.5% 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 Midland neighborhood, 66.5% 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 15.7% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (9.3%), and 8.5% in clerical, assistant, and tech support occupations.
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 Midland neighborhood is English, spoken by 84.0% of households. Other important languages spoken here include Spanish and Korean.
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 Midland neighborhood in Columbus, GA, residents most commonly identify their ethnicity or ancestry as English (13.6%). There are also a number of people of Irish ancestry (9.9%), and residents who report Puerto Rican roots (6.7%), and some of the residents are also of Asian ancestry (6.4%), along with some German ancestry residents (4.6%), 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 Midland neighborhood spend between 15 and 30 minutes commuting one-way to work (54.8% 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 (8.8%) . 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
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: 2020 (latest available). Updated annually. Please note: Unemployment data updated November 2022.
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 about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2021 calendar year; released from FBI in Oct. 2022 (latest available). Updated annually. Where is 2022 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 about Scout's Crime Data
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 about Scout's School Data
School Details | Grades | Quality Rating Compared to GA* | Quality Rating Compared to Nation* |
---|---|---|---|
Blackmon Road Middle School
7251 Blackmon Rd Columbus, GA 31909 |
06-08 | ||
Shaw High School
7579 Raider Way Columbus, GA 31909 |
09-12 | ||
Mathews Elementary School
7533 Lynch Rd Midland, GA 31820 |
PK-05 | ||
Midland Middle School
6990 Warm Springs Rd Midland, GA 31820 |
06-08 | ||
Midland Academy School
7373 Psalmond Rd Midland, GA 31820 |
PK-05 | ||
Eagle Ridge Academy School
7576 Raider Way Columbus, GA 31909 |
PK-05 | ||
Aaron Cohn Middle School
7352 Garrett Rd Midland, GA 31820 |
06-08 | ||
* 10 is highest |
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSAnalytics 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
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