Demographics details for Mercer, PA vs Middle point, OH
Population Overview
Compare main population characteristics in Mercer, PA vs Middle point, OH.
Data | Mercer | Middle point |
---|---|---|
Population | 109,220 | 565 |
Median Age | 45.0 years | 37.0 years |
Median Income | $57,353 | $54,479 |
Married Families | 42.0% | 44.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Mercer vs Middle point
- In Mercer, the population is higher at 109,220, compared to 565 in Middle point.
- Residents in Mercer have a higher median age of 45.0 years compared to 37.0 years in Middle point.
- Mercer has a higher median income of $57,353 compared to $54,479 in Middle point.
- In Middle point, the percentage of married families is higher at 44.0%, compared to 42.0% in Mercer.
- Mercer has a higher poverty level at 10% compared to 8% in Middle point.
- Middle point has a higher unemployment rate at 4.5% compared to 4.2% in Mercer.
Demographics
Demographics Mercer vs Middle point provide insight into the diversity of the communities to compare.
Demographic | Mercer | Middle point |
---|---|---|
Black | 6 | Data is updating |
White | 87 | 99 |
Asian | 1 | Data is updating |
Hispanic | 2 | Data is updating |
Two or More Races | 4 | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mercer vs Middle point
- A higher percentage of Black residents are in Mercer at 6% compared to 0% in Middle point.
- The percentage of White residents is higher in Middle point at 99% compared to 87% in Mercer.
- The Asian population is larger in Mercer at 1% compared to 0% in Middle point.
- The Hispanic community is larger in Mercer at 2% compared to 0% in Middle point.
- More residents identify as two or more races in Mercer at 4% compared to 1% in Middle point.
- The percentage of American Indian residents is the same in both Mercer and Middle point at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mercer | Middle point |
---|---|---|
Mental Health Not Good | 17.8% | 16.7% |
Physical Health Not Good | 12.1% | 10.5% |
Depression | 23.7% | 23.4% |
Smoking | 20.1% | 18.5% |
Binge Drinking | 18.5% | 19.3% |
Obesity | 40.3% | 41.8% |
Disability Percentage | 18.0% | 12.0% |
Health Statistics Comparison: Mercer vs Middle point
- More residents in Mercer report poor mental health at 17.8% compared to 16.7% in Middle point.
- Depression is more prevalent in Mercer at 23.7% compared to 23.4% in Middle point.
- Smoking is more prevalent in Mercer at 20.1% compared to 18.5% in Middle point.
- More residents engage in binge drinking in Middle point at 19.3% compared to 18.5% in Mercer.
- Middle point has higher obesity rates at 41.8% compared to 40.3% in Mercer.
- Disability percentages are higher in Mercer at 18.0% compared to 12.0% in Middle point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mercer | Middle point |
---|---|---|
No Schooling | 0.6% (662) | 1.1% (6) |
High School Diploma | 26.5% (28,924) | 34.2% (193) |
Less than High School | 13.0% (14,161) | 13.1% (74) |
Bachelor's Degree and Higher | 17.4% (19,021) | 9.4% (53) |
Education Levels Comparison: Mercer vs Middle point
- In Middle point, a larger percentage of residents lack formal schooling at 1.1% compared to 0.6% in Mercer.
- In Middle point, the rate of residents with high school diplomas is higher at 34.2% compared to 26.5% in Mercer.
- The percentage of residents with less than a high school education is higher in Middle point at 13.1%, compared to 13.0% in Mercer.
- A higher percentage of residents in Mercer hold a bachelor's degree or higher at 17.4% compared to 9.4% in Middle point.
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.