Demographics details for Clearfield, PA vs Blue springs, MO
Population Overview
Compare main population characteristics in Clearfield, PA vs Blue springs, MO.
Data | Clearfield | Blue springs |
---|---|---|
Population | 5,868 | 59,518 |
Median Age | 38.4 years | 36.6 years |
Median Income | $50,485 | $82,965 |
Married Families | 28.0% | 42.0% |
Poverty Level | 13% | 9% |
Unemployment Rate | 4.2 | 3.7 |
Population Comparison: Clearfield vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 5,868 in Clearfield.
- Residents in Clearfield have a higher median age of 38.4 years compared to 36.6 years in Blue springs.
- Blue springs has a higher median income of $82,965, compared to $50,485 in Clearfield.
- In Blue springs, the percentage of married families is higher at 42.0%, compared to 28.0% in Clearfield.
- Clearfield has a higher poverty level at 13% compared to 9% in Blue springs.
- The unemployment rate in Clearfield is higher at 4.2%, compared to 3.7% in Blue springs.
Demographics
Demographics Clearfield vs Blue springs provide insight into the diversity of the communities to compare.
Demographic | Clearfield | Blue springs |
---|---|---|
Black | 1 | 7 |
White | 94 | 79 |
Asian | 1 | 1 |
Hispanic | 1 | 7 |
Two or More Races | 3 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Clearfield vs Blue springs
- In Blue springs, the percentage of Black residents is higher at 7% compared to 1% in Clearfield.
- Clearfield has a higher percentage of White residents at 94% compared to 79% in Blue springs.
- Both Clearfield and Blue springs have the same percentage of Asian residents at 1%.
- Blue springs has a higher percentage of Hispanic residents at 7%, compared to 1% in Clearfield.
- The percentage of residents identifying as two or more races is higher in Blue springs at 6%, compared to 3% in Clearfield.
- The percentage of American Indian residents is the same in both Clearfield and Blue springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Clearfield | Blue springs |
---|---|---|
Mental Health Not Good | 19.2% | 17.3% |
Physical Health Not Good | 13.7% | 10.4% |
Depression | 24.4% | 22.8% |
Smoking | 23.8% | 15.6% |
Binge Drinking | 17.6% | 21.5% |
Obesity | 38.7% | 34.7% |
Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Clearfield vs Blue springs
- More residents in Clearfield report poor mental health at 19.2% compared to 17.3% in Blue springs.
- Depression is more prevalent in Clearfield at 24.4% compared to 22.8% in Blue springs.
- Smoking is more prevalent in Clearfield at 23.8% compared to 15.6% in Blue springs.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 17.6% in Clearfield.
- Obesity rates are higher in Clearfield at 38.7% compared to 34.7% in Blue springs.
- Disability percentages are higher in Clearfield at 17.0% compared to 10.0% in Blue springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Clearfield | Blue springs |
---|---|---|
No Schooling | 0.5% (32) | 0.3% (178) |
High School Diploma | 27.8% (1,629) | 16.5% (9,835) |
Less than High School | 5.6% (329) | 4.9% (2,932) |
Bachelor's Degree and Higher | 14.5% (851) | 21.8% (12,992) |
Education Levels Comparison: Clearfield vs Blue springs
- A higher percentage of residents in Clearfield have no formal schooling at 0.5% compared to 0.3% in Blue springs.
- A higher percentage of residents in Clearfield hold a high school diploma at 27.8% compared to 16.5% in Blue springs.
- More residents in Clearfield have less than a high school education at 5.6% compared to 4.9% in Blue springs.
- In Blue springs, a larger share of residents have a bachelor's degree or higher at 21.8% compared to 14.5% in Clearfield.
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.