Demographics details for Mount olive, MS vs Blakely, GA
Population Overview
Compare main population characteristics in Mount olive, MS vs Blakely, GA.
Data | Mount olive | Blakely |
---|---|---|
Population | 878 | 5,238 |
Median Age | 31.7 years | 31.5 years |
Median Income | $53,947 | $43,008 |
Married Families | 49.0% | 27.0% |
Poverty Level | 18% | 26% |
Unemployment Rate | 6.5 | 3.7 |
Population Comparison: Mount olive vs Blakely
- The population in Blakely is higher at 5,238, compared to 878 in Mount olive.
- Residents in Mount olive have a higher median age of 31.7 years compared to 31.5 years in Blakely.
- Mount olive has a higher median income of $53,947 compared to $43,008 in Blakely.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 27.0% in Blakely.
- The poverty level is higher in Blakely at 26%, compared to 18% in Mount olive.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 3.7% in Blakely.
Demographics
Demographics Mount olive vs Blakely provide insight into the diversity of the communities to compare.
Demographic | Mount olive | Blakely |
---|---|---|
Black | 120 | 77 |
White | 145 | 22 |
Asian | 2 | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount olive vs Blakely
- A higher percentage of Black residents are in Mount olive at 120% compared to 77% in Blakely.
- Mount olive has a higher percentage of White residents at 145% compared to 22% in Blakely.
- The Asian population is larger in Mount olive at 2% compared to 0% in Blakely.
- The percentage of Hispanic residents is the same in both Mount olive and Blakely at 0%.
- The percentage of residents identifying as two or more races is higher in Blakely at 1%, compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Mount olive and Blakely at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mount olive | Blakely |
---|---|---|
Mental Health Not Good | 17.8% | 20.0% |
Physical Health Not Good | 13.3% | 15.6% |
Depression | 21.5% | 21.3% |
Smoking | 21.3% | 23.4% |
Binge Drinking | 13.0% | 12.4% |
Obesity | 43.6% | 44.6% |
Disability Percentage | 27.0% | 11.0% |
Health Statistics Comparison: Mount olive vs Blakely
- In Blakely, a higher percentage report poor mental health at 20.0% compared to 17.8% in Mount olive.
- Depression is more prevalent in Mount olive at 21.5% compared to 21.3% in Blakely.
- Blakely has a higher smoking rate at 23.4% compared to 21.3% in Mount olive.
- Binge drinking is more common in Mount olive at 13.0% compared to 12.4% in Blakely.
- Blakely has higher obesity rates at 44.6% compared to 43.6% in Mount olive.
- Disability percentages are higher in Mount olive at 27.0% compared to 11.0% in Blakely.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mount olive | Blakely |
---|---|---|
No Schooling | 2.3% (20) | 0.7% (35) |
High School Diploma | 23.9% (210) | 18.8% (985) |
Less than High School | 14.9% (131) | 14.5% (759) |
Bachelor's Degree and Higher | 13.0% (114) | 6.1% (320) |
Education Levels Comparison: Mount olive vs Blakely
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.7% in Blakely.
- A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 18.8% in Blakely.
- More residents in Mount olive have less than a high school education at 14.9% compared to 14.5% in Blakely.
- A higher percentage of residents in Mount olive hold a bachelor's degree or higher at 13.0% compared to 6.1% in Blakely.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.