Demographics details for Pittsburgh, PA vs Catlettsburg, KY
Population Overview
Compare main population characteristics in Pittsburgh, PA vs Catlettsburg, KY.
Data | Pittsburgh | Catlettsburg |
---|---|---|
Population | 302,898 | 1,746 |
Median Age | 33.5 years | 48.0 years |
Median Income | $60,187 | $33,047 |
Married Families | 26.0% | 28.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 3.4 | 5.0 |
Population Comparison: Pittsburgh vs Catlettsburg
- In Pittsburgh, the population is higher at 302,898, compared to 1,746 in Catlettsburg.
- The median age in Catlettsburg is higher at 48.0 years, compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187 compared to $33,047 in Catlettsburg.
- In Catlettsburg, the percentage of married families is higher at 28.0%, compared to 26.0% in Pittsburgh.
- Pittsburgh has a higher poverty level at 15% compared to 12% in Catlettsburg.
- Catlettsburg has a higher unemployment rate at 5.0% compared to 3.4% in Pittsburgh.
Demographics
Demographics Pittsburgh vs Catlettsburg provide insight into the diversity of the communities to compare.
Demographic | Pittsburgh | Catlettsburg |
---|---|---|
Black | 23 | 5 |
White | 62 | 90 |
Asian | 6 | Data is updating |
Hispanic | 4 | 1 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsburgh vs Catlettsburg
- A higher percentage of Black residents are in Pittsburgh at 23% compared to 5% in Catlettsburg.
- The percentage of White residents is higher in Catlettsburg at 90% compared to 62% in Pittsburgh.
- The Asian population is larger in Pittsburgh at 6% compared to 0% in Catlettsburg.
- The Hispanic community is larger in Pittsburgh at 4% compared to 1% in Catlettsburg.
- More residents identify as two or more races in Pittsburgh at 5% compared to 4% in Catlettsburg.
- The percentage of American Indian residents is the same in both Pittsburgh and Catlettsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pittsburgh | Catlettsburg |
---|---|---|
Mental Health Not Good | 16.3% | 22.4% |
Physical Health Not Good | 11.7% | 18.0% |
Depression | 21.1% | 32.9% |
Smoking | 18.8% | 29.0% |
Binge Drinking | 19.3% | 13.5% |
Obesity | 35.0% | 42.8% |
Disability Percentage | 14.0% | 32.0% |
Health Statistics Comparison: Pittsburgh vs Catlettsburg
- In Catlettsburg, a higher percentage report poor mental health at 22.4% compared to 16.3% in Pittsburgh.
- Higher depression rates are seen in Catlettsburg at 32.9% versus 21.1% in Pittsburgh.
- Catlettsburg has a higher smoking rate at 29.0% compared to 18.8% in Pittsburgh.
- Binge drinking is more common in Pittsburgh at 19.3% compared to 13.5% in Catlettsburg.
- Catlettsburg has higher obesity rates at 42.8% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in Catlettsburg at 32.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pittsburgh | Catlettsburg |
---|---|---|
No Schooling | 0.6% (1,955) | 2.9% (50) |
High School Diploma | 13.9% (42,015) | 28.8% (502) |
Less than High School | 6.6% (20,087) | 33.4% (584) |
Bachelor's Degree and Higher | 32.1% (97,219) | 4.6% (80) |
Education Levels Comparison: Pittsburgh vs Catlettsburg
- In Catlettsburg, a larger percentage of residents lack formal schooling at 2.9% compared to 0.6% in Pittsburgh.
- In Catlettsburg, the rate of residents with high school diplomas is higher at 28.8% compared to 13.9% in Pittsburgh.
- The percentage of residents with less than a high school education is higher in Catlettsburg at 33.4%, compared to 6.6% in Pittsburgh.
- A higher percentage of residents in Pittsburgh hold a bachelor's degree or higher at 32.1% 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.