Demographics details for Mechanicsburg, PA vs Toccoa, GA
Population Overview
Compare main population characteristics in Mechanicsburg, PA vs Toccoa, GA.
Data | Mechanicsburg | Toccoa |
---|---|---|
Population | 9,634 | 9,146 |
Median Age | 38.4 years | 42.3 years |
Median Income | $75,806 | $49,860 |
Married Families | 36.0% | 31.0% |
Poverty Level | 5% | 17% |
Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Mechanicsburg vs Toccoa
- In Mechanicsburg, the population is higher at 9,634, compared to 9,146 in Toccoa.
- The median age in Toccoa is higher at 42.3 years, compared to 38.4 years in Mechanicsburg.
- Mechanicsburg has a higher median income of $75,806 compared to $49,860 in Toccoa.
- A higher percentage of married families is found in Mechanicsburg at 36.0% compared to 31.0% in Toccoa.
- The poverty level is higher in Toccoa at 17%, compared to 5% in Mechanicsburg.
- The unemployment rate in Mechanicsburg is higher at 4.5%, compared to 4.0% in Toccoa.
Demographics
Demographics Mechanicsburg vs Toccoa provide insight into the diversity of the communities to compare.
Demographic | Mechanicsburg | Toccoa |
---|---|---|
Black | 2 | 19 |
White | 84 | 74 |
Asian | 1 | 2 |
Hispanic | 6 | 1 |
Two or More Races | 7 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mechanicsburg vs Toccoa
- In Toccoa, the percentage of Black residents is higher at 19% compared to 2% in Mechanicsburg.
- Mechanicsburg has a higher percentage of White residents at 84% compared to 74% in Toccoa.
- In Toccoa, the Asian population stands at 2%, greater than 1% in Mechanicsburg.
- The Hispanic community is larger in Mechanicsburg at 6% compared to 1% in Toccoa.
- More residents identify as two or more races in Mechanicsburg at 7% compared to 4% in Toccoa.
- The percentage of American Indian residents is the same in both Mechanicsburg and Toccoa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mechanicsburg | Toccoa |
---|---|---|
Mental Health Not Good | 15.3% | 18.3% |
Physical Health Not Good | 10.2% | 13.3% |
Depression | 21.8% | 22.6% |
Smoking | 15.7% | 19.9% |
Binge Drinking | 17.8% | 15.5% |
Obesity | 31.2% | 34.9% |
Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Mechanicsburg vs Toccoa
- In Toccoa, a higher percentage report poor mental health at 18.3% compared to 15.3% in Mechanicsburg.
- Higher depression rates are seen in Toccoa at 22.6% versus 21.8% in Mechanicsburg.
- Toccoa has a higher smoking rate at 19.9% compared to 15.7% in Mechanicsburg.
- Binge drinking is more common in Mechanicsburg at 17.8% compared to 15.5% in Toccoa.
- Toccoa has higher obesity rates at 34.9% compared to 31.2% in Mechanicsburg.
- There is a higher percentage of disabled individuals in Toccoa at 16.0% compared to 11.0% in Mechanicsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mechanicsburg | Toccoa |
---|---|---|
No Schooling | 0.1% (13) | 2.7% (244) |
High School Diploma | 21.7% (2,086) | 25.0% (2,284) |
Less than High School | 5.7% (550) | 20.6% (1,887) |
Bachelor's Degree and Higher | 30.4% (2,931) | 11.9% (1,090) |
Education Levels Comparison: Mechanicsburg vs Toccoa
- In Toccoa, a larger percentage of residents lack formal schooling at 2.7% compared to 0.1% in Mechanicsburg.
- In Toccoa, the rate of residents with high school diplomas is higher at 25.0% compared to 21.7% in Mechanicsburg.
- The percentage of residents with less than a high school education is higher in Toccoa at 20.6%, compared to 5.7% in Mechanicsburg.
- A higher percentage of residents in Mechanicsburg hold a bachelor's degree or higher at 30.4% compared to 11.9% in Toccoa.
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.