Demographics details for Central city, KY vs Willow street, PA
Population Overview
Compare main population characteristics in Central city, KY vs Willow street, PA.
Data | Central city | Willow street |
---|---|---|
Population | 5,810 | 9,640 |
Median Age | 33.5 years | 52.8 years |
Median Income | $52,184 | $100,727 |
Married Families | 38.0% | 53.0% |
Poverty Level | 16% | 5% |
Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Central city vs Willow street
- The population in Willow street is higher at 9,640, compared to 5,810 in Central city.
- The median age in Willow street is higher at 52.8 years, compared to 33.5 years in Central city.
- Willow street has a higher median income of $100,727, compared to $52,184 in Central city.
- In Willow street, the percentage of married families is higher at 53.0%, compared to 38.0% in Central city.
- Central city has a higher poverty level at 16% compared to 5% in Willow street.
- The unemployment rate in Central city is higher at 3.5%, compared to 3.2% in Willow street.
Demographics
Demographics Central city vs Willow street provide insight into the diversity of the communities to compare.
Demographic | Central city | Willow street |
---|---|---|
Black | 3 | 2 |
White | 88 | 81 |
Asian | Data is updating | 4 |
Hispanic | 2 | 7 |
Two or More Races | 6 | 5 |
American Indian | 1 | 1 |
Demographics Comparison: Central city vs Willow street
- A higher percentage of Black residents are in Central city at 3% compared to 2% in Willow street.
- Central city has a higher percentage of White residents at 88% compared to 81% in Willow street.
- In Willow street, the Asian population stands at 4%, greater than 0% in Central city.
- Willow street has a higher percentage of Hispanic residents at 7%, compared to 2% in Central city.
- More residents identify as two or more races in Central city at 6% compared to 5% in Willow street.
- The percentage of American Indian residents is the same in both Central city and Willow street at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Central city | Willow street |
---|---|---|
Mental Health Not Good | 19.3% | 14.8% |
Physical Health Not Good | 15.5% | 9.7% |
Depression | 26.8% | 22.3% |
Smoking | 24.8% | 14.9% |
Binge Drinking | 14.8% | 18.7% |
Obesity | 41.9% | 32.9% |
Disability Percentage | 15.0% | 17.0% |
Health Statistics Comparison: Central city vs Willow street
- More residents in Central city report poor mental health at 19.3% compared to 14.8% in Willow street.
- Depression is more prevalent in Central city at 26.8% compared to 22.3% in Willow street.
- Smoking is more prevalent in Central city at 24.8% compared to 14.9% in Willow street.
- More residents engage in binge drinking in Willow street at 18.7% compared to 14.8% in Central city.
- Obesity rates are higher in Central city at 41.9% compared to 32.9% in Willow street.
- There is a higher percentage of disabled individuals in Willow street at 17.0% compared to 15.0% in Central city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Central city | Willow street |
---|---|---|
No Schooling | 1.1% (65) | 0.3% (32) |
High School Diploma | 15.4% (897) | 17.8% (1,717) |
Less than High School | 15.6% (905) | 7.6% (734) |
Bachelor's Degree and Higher | 8.3% (480) | 36.5% (3,517) |
Education Levels Comparison: Central city vs Willow street
- A higher percentage of residents in Central city have no formal schooling at 1.1% compared to 0.3% in Willow street.
- In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 15.4% in Central city.
- More residents in Central city have less than a high school education at 15.6% compared to 7.6% in Willow street.
- In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 8.3% in Central city.
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.