Demographics details for Fort thomas, KY vs Paupack, PA
Population Overview
Compare main population characteristics in Fort thomas, KY vs Paupack, PA.
Data | Fort thomas | Paupack |
---|---|---|
Population | 17,133 | 1,000 |
Median Age | 37.9 years | 42.0 years |
Median Income | $95,391 | $60,000 |
Married Families | 45.0% | 300.0% |
Poverty Level | 6% | 8% |
Unemployment Rate | 3.0 | 4.0 |
Population Comparison: Fort thomas vs Paupack
- In Fort thomas, the population is higher at 17,133, compared to 1,000 in Paupack.
- The median age in Paupack is higher at 42.0 years, compared to 37.9 years in Fort thomas.
- Fort thomas has a higher median income of $95,391 compared to $60,000 in Paupack.
- In Paupack, the percentage of married families is higher at 300.0%, compared to 45.0% in Fort thomas.
- The poverty level is higher in Paupack at 8%, compared to 6% in Fort thomas.
- Paupack has a higher unemployment rate at 4.0% compared to 3.0% in Fort thomas.
Demographics
Demographics Fort thomas vs Paupack provide insight into the diversity of the communities to compare.
Demographic | Fort thomas | Paupack |
---|---|---|
Black | 2 | 2 |
White | 92 | 90 |
Asian | 1 | 5 |
Hispanic | 1 | 3 |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort thomas vs Paupack
- The percentage of Black residents is the same in both Fort thomas and Paupack at 2%.
- Fort thomas has a higher percentage of White residents at 92% compared to 90% in Paupack.
- In Paupack, the Asian population stands at 5%, greater than 1% in Fort thomas.
- Paupack has a higher percentage of Hispanic residents at 3%, compared to 1% in Fort thomas.
- More residents identify as two or more races in Fort thomas at 4% compared to 0% in Paupack.
- The percentage of American Indian residents is the same in both Fort thomas and Paupack at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fort thomas | Paupack |
---|---|---|
Mental Health Not Good | 15.5% | Data is updating% |
Physical Health Not Good | 9.7% | Data is updating% |
Depression | 26.2% | Data is updating% |
Smoking | 13.6% | Data is updating% |
Binge Drinking | 17.1% | Data is updating% |
Obesity | 32.4% | Data is updating% |
Disability Percentage | 10.0% | Data is updating% |
Health Statistics Comparison: Fort thomas vs Paupack
- More residents in Fort thomas report poor mental health at 15.5% compared to 0.0% in Paupack.
- Depression is more prevalent in Fort thomas at 26.2% compared to 0.0% in Paupack.
- Smoking is more prevalent in Fort thomas at 13.6% compared to 0.0% in Paupack.
- Binge drinking is more common in Fort thomas at 17.1% compared to 0.0% in Paupack.
- Obesity rates are higher in Fort thomas at 32.4% compared to 0.0% in Paupack.
- Disability percentages are higher in Fort thomas at 10.0% compared to 0.0% in Paupack.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fort thomas | Paupack |
---|---|---|
No Schooling | 0.4% (66) | 0.0% (Data is updating) |
High School Diploma | 10.7% (1,840) | 0.0% (Data is updating) |
Less than High School | 3.3% (569) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 37.3% (6,383) | 0.0% (Data is updating) |
Education Levels Comparison: Fort thomas vs Paupack
- A higher percentage of residents in Fort thomas have no formal schooling at 0.4% compared to 0.0% in Paupack.
- A higher percentage of residents in Fort thomas hold a high school diploma at 10.7% compared to 0.0% in Paupack.
- More residents in Fort thomas have less than a high school education at 3.3% compared to 0.0% in Paupack.
- A higher percentage of residents in Fort thomas hold a bachelor's degree or higher at 37.3% compared to 0.0% in Paupack.
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.