Demographics details for Catlettsburg, KY vs Manhattan, KS
Population Overview
Compare main population characteristics in Catlettsburg, KY vs Manhattan, KS.
| Data | Catlettsburg | Manhattan |
|---|---|---|
| Population | 1,746 | 53,829 |
| Median Age | 48.0 years | 24.7 years |
| Median Income | $33,047 | $55,316 |
| Married Families | 28.0% | 29.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 5.0 | 3.8 |
Population Comparison: Catlettsburg vs Manhattan
- The population in Manhattan is higher at 53,829, compared to 1,746 in Catlettsburg.
- Residents in Catlettsburg have a higher median age of 48.0 years compared to 24.7 years in Manhattan.
- Manhattan has a higher median income of $55,316, compared to $33,047 in Catlettsburg.
- In Manhattan, the percentage of married families is higher at 29.0%, compared to 28.0% in Catlettsburg.
- The poverty level is higher in Manhattan at 15%, compared to 12% in Catlettsburg.
- The unemployment rate in Catlettsburg is higher at 5.0%, compared to 3.8% in Manhattan.
Demographics
Demographics Catlettsburg vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | Catlettsburg | Manhattan |
|---|---|---|
| Black | 5 | 5 |
| White | 90 | 74 |
| Asian | Data is updating | 5 |
| Hispanic | 1 | 8 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Catlettsburg vs Manhattan
- The percentage of Black residents is the same in both Catlettsburg and Manhattan at 5%.
- Catlettsburg has a higher percentage of White residents at 90% compared to 74% in Manhattan.
- In Manhattan, the Asian population stands at 5%, greater than 0% in Catlettsburg.
- Manhattan has a higher percentage of Hispanic residents at 8%, compared to 1% in Catlettsburg.
- The percentage of residents identifying as two or more races is higher in Manhattan at 7%, compared to 4% in Catlettsburg.
- In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Catlettsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Catlettsburg | Manhattan |
|---|---|---|
| Mental Health Not Good | 22.4% | 15.7% |
| Physical Health Not Good | 18.0% | 10.1% |
| Depression | 32.9% | 20.2% |
| Smoking | 29.0% | 16.0% |
| Binge Drinking | 13.5% | 20.6% |
| Obesity | 42.8% | 32.2% |
| Disability Percentage | 32.0% | 12.0% |
Health Statistics Comparison: Catlettsburg vs Manhattan
- More residents in Catlettsburg report poor mental health at 22.4% compared to 15.7% in Manhattan.
- Depression is more prevalent in Catlettsburg at 32.9% compared to 20.2% in Manhattan.
- Smoking is more prevalent in Catlettsburg at 29.0% compared to 16.0% in Manhattan.
- More residents engage in binge drinking in Manhattan at 20.6% compared to 13.5% in Catlettsburg.
- Obesity rates are higher in Catlettsburg at 42.8% compared to 32.2% in Manhattan.
- Disability percentages are higher in Catlettsburg at 32.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Catlettsburg | Manhattan |
|---|---|---|
| No Schooling | 2.9% (50) | 0.5% (256) |
| High School Diploma | 28.8% (502) | 5.8% (3,138) |
| Less than High School | 33.4% (584) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 4.6% (80) | 26.0% (14,017) |
Education Levels Comparison: Catlettsburg vs Manhattan
- A higher percentage of residents in Catlettsburg have no formal schooling at 2.9% compared to 0.5% in Manhattan.
- A higher percentage of residents in Catlettsburg hold a high school diploma at 28.8% compared to 5.8% in Manhattan.
- More residents in Catlettsburg have less than a high school education at 33.4% compared to 4.2% in Manhattan.
- In Manhattan, a larger share of residents have a bachelor's degree or higher at 26.0% compared to 4.6% in Catlettsburg.
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.