Demographics details for Panacea, FL vs Millersburg, OH
Population Overview
Compare main population characteristics in Panacea, FL vs Millersburg, OH.
Data | Panacea | Millersburg |
---|---|---|
Population | 1,152 | 3,180 |
Median Age | 46.7 years | 38.2 years |
Median Income | $36,250 | $48,913 |
Married Families | 30.0% | 40.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Panacea vs Millersburg
- The population in Millersburg is higher at 3,180, compared to 1,152 in Panacea.
- Residents in Panacea have a higher median age of 46.7 years compared to 38.2 years in Millersburg.
- Millersburg has a higher median income of $48,913, compared to $36,250 in Panacea.
- In Millersburg, the percentage of married families is higher at 40.0%, compared to 30.0% in Panacea.
- The poverty level is identical in both Panacea and Millersburg at 10%.
- Millersburg has a higher unemployment rate at 4.5% compared to 4.2% in Panacea.
Demographics
Demographics Panacea vs Millersburg provide insight into the diversity of the communities to compare.
Demographic | Panacea | Millersburg |
---|---|---|
Black | Data is updating | 1 |
White | 99 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 1 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Panacea vs Millersburg
- In Millersburg, the percentage of Black residents is higher at 1% compared to 0% in Panacea.
- Panacea has a higher percentage of White residents at 99% compared to 95% in Millersburg.
- Both Panacea and Millersburg have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Panacea and Millersburg at 0%.
- The percentage of residents identifying as two or more races is higher in Millersburg at 4%, compared to 1% in Panacea.
- The percentage of American Indian residents is the same in both Panacea and Millersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Panacea | Millersburg |
---|---|---|
Mental Health Not Good | 17.8% | 18.5% |
Physical Health Not Good | 12.3% | 12.5% |
Depression | 22.3% | 24.9% |
Smoking | 23.5% | 22.4% |
Binge Drinking | 17.4% | 18.0% |
Obesity | 32.3% | 39.2% |
Disability Percentage | 31.0% | 13.0% |
Health Statistics Comparison: Panacea vs Millersburg
- In Millersburg, a higher percentage report poor mental health at 18.5% compared to 17.8% in Panacea.
- Higher depression rates are seen in Millersburg at 24.9% versus 22.3% in Panacea.
- Smoking is more prevalent in Panacea at 23.5% compared to 22.4% in Millersburg.
- More residents engage in binge drinking in Millersburg at 18.0% compared to 17.4% in Panacea.
- Millersburg has higher obesity rates at 39.2% compared to 32.3% in Panacea.
- Disability percentages are higher in Panacea at 31.0% compared to 13.0% in Millersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Panacea | Millersburg |
---|---|---|
No Schooling | 4.1% (47) | 1.4% (46) |
High School Diploma | 32.5% (374) | 25.2% (801) |
Less than High School | 55.4% (638) | 27.2% (864) |
Bachelor's Degree and Higher | 11.9% (137) | 20.3% (644) |
Education Levels Comparison: Panacea vs Millersburg
- A higher percentage of residents in Panacea have no formal schooling at 4.1% compared to 1.4% in Millersburg.
- A higher percentage of residents in Panacea hold a high school diploma at 32.5% compared to 25.2% in Millersburg.
- More residents in Panacea have less than a high school education at 55.4% compared to 27.2% in Millersburg.
- In Millersburg, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 11.9% in Panacea.
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.