Demographics details for Millersport, OH vs Fort thomas, KY
Population Overview
Compare main population characteristics in Millersport, OH vs Fort thomas, KY.
Data | Millersport | Fort thomas |
---|---|---|
Population | 970 | 17,133 |
Median Age | 43.9 years | 37.9 years |
Median Income | $69,063 | $95,391 |
Married Families | 47.0% | 45.0% |
Poverty Level | 6% | 6% |
Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Millersport vs Fort thomas
- The population in Fort thomas is higher at 17,133, compared to 970 in Millersport.
- Residents in Millersport have a higher median age of 43.9 years compared to 37.9 years in Fort thomas.
- Fort thomas has a higher median income of $95,391, compared to $69,063 in Millersport.
- A higher percentage of married families is found in Millersport at 47.0% compared to 45.0% in Fort thomas.
- The poverty level is identical in both Millersport and Fort thomas at 6%.
- The unemployment rate in Millersport is higher at 4.5%, compared to 3.0% in Fort thomas.
Demographics
Demographics Millersport vs Fort thomas provide insight into the diversity of the communities to compare.
Demographic | Millersport | Fort thomas |
---|---|---|
Black | 1 | 2 |
White | 94 | 92 |
Asian | Data is updating | 1 |
Hispanic | 2 | 1 |
Two or More Races | 3 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Millersport vs Fort thomas
- In Fort thomas, the percentage of Black residents is higher at 2% compared to 1% in Millersport.
- Millersport has a higher percentage of White residents at 94% compared to 92% in Fort thomas.
- In Fort thomas, the Asian population stands at 1%, greater than 0% in Millersport.
- The Hispanic community is larger in Millersport at 2% compared to 1% in Fort thomas.
- The percentage of residents identifying as two or more races is higher in Fort thomas at 4%, compared to 3% in Millersport.
- The percentage of American Indian residents is the same in both Millersport and Fort thomas at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Millersport | Fort thomas |
---|---|---|
Mental Health Not Good | 18.1% | 15.5% |
Physical Health Not Good | 12.3% | 9.7% |
Depression | 25.4% | 26.2% |
Smoking | 21.3% | 13.6% |
Binge Drinking | 20.1% | 17.1% |
Obesity | 45.0% | 32.4% |
Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Millersport vs Fort thomas
- More residents in Millersport report poor mental health at 18.1% compared to 15.5% in Fort thomas.
- Higher depression rates are seen in Fort thomas at 26.2% versus 25.4% in Millersport.
- Smoking is more prevalent in Millersport at 21.3% compared to 13.6% in Fort thomas.
- Binge drinking is more common in Millersport at 20.1% compared to 17.1% in Fort thomas.
- Obesity rates are higher in Millersport at 45.0% compared to 32.4% in Fort thomas.
- Disability percentages are higher in Millersport at 19.0% compared to 10.0% in Fort thomas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Millersport | Fort thomas |
---|---|---|
No Schooling | 0.4% (4) | 0.4% (66) |
High School Diploma | 24.7% (240) | 10.7% (1,840) |
Less than High School | 8.7% (84) | 3.3% (569) |
Bachelor's Degree and Higher | 14.8% (144) | 37.3% (6,383) |
Education Levels Comparison: Millersport vs Fort thomas
- The percentage of residents with no formal schooling is the same in both Millersport and Fort thomas at 0.4%.
- A higher percentage of residents in Millersport hold a high school diploma at 24.7% compared to 10.7% in Fort thomas.
- More residents in Millersport have less than a high school education at 8.7% compared to 3.3% in Fort thomas.
- In Fort thomas, a larger share of residents have a bachelor's degree or higher at 37.3% compared to 14.8% in Millersport.
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.