Demographics details for Pratt, KS vs Roaring spring, PA
Population Overview
Compare main population characteristics in Pratt, KS vs Roaring spring, PA.
| Data | Pratt | Roaring spring |
|---|---|---|
| Population | 9,067 | 2,333 |
| Median Age | 37.6 years | 36.1 years |
| Median Income | $61,685 | $63,194 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.1 | 5.0 |
Population Comparison: Pratt vs Roaring spring
- In Pratt, the population is higher at 9,067, compared to 2,333 in Roaring spring.
- Residents in Pratt have a higher median age of 37.6 years compared to 36.1 years in Roaring spring.
- Roaring spring has a higher median income of $63,194, compared to $61,685 in Pratt.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 36.0% in Pratt.
- Pratt has a higher poverty level at 12% compared to 10% in Roaring spring.
- Roaring spring has a higher unemployment rate at 5.0% compared to 3.1% in Pratt.
Demographics
Demographics Pratt vs Roaring spring provide insight into the diversity of the communities to compare.
| Demographic | Pratt | Roaring spring |
|---|---|---|
| Black | 2 | 1 |
| White | 83 | 91 |
| Asian | Data is updating | Data is updating |
| Hispanic | 8 | 3 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pratt vs Roaring spring
- A higher percentage of Black residents are in Pratt at 2% compared to 1% in Roaring spring.
- The percentage of White residents is higher in Roaring spring at 91% compared to 83% in Pratt.
- Both Pratt and Roaring spring have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Pratt at 8% compared to 3% in Roaring spring.
- More residents identify as two or more races in Pratt at 6% compared to 5% in Roaring spring.
- A greater percentage of American Indian residents live in Pratt at 1% compared to 0% in Roaring spring.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pratt | Roaring spring |
|---|---|---|
| Mental Health Not Good | 15.4% | 18.2% |
| Physical Health Not Good | 9.9% | 12.2% |
| Depression | 19.7% | 25.5% |
| Smoking | 17.0% | 21.4% |
| Binge Drinking | 19.0% | 18.5% |
| Obesity | 39.4% | 34.7% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Pratt vs Roaring spring
- In Roaring spring, a higher percentage report poor mental health at 18.2% compared to 15.4% in Pratt.
- Higher depression rates are seen in Roaring spring at 25.5% versus 19.7% in Pratt.
- Roaring spring has a higher smoking rate at 21.4% compared to 17.0% in Pratt.
- Binge drinking is more common in Pratt at 19.0% compared to 18.5% in Roaring spring.
- Obesity rates are higher in Pratt at 39.4% compared to 34.7% in Roaring spring.
- There is a higher percentage of disabled individuals in Roaring spring at 14.0% compared to 13.0% in Pratt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pratt | Roaring spring |
|---|---|---|
| No Schooling | 0.2% (22) | 0.4% (9) |
| High School Diploma | 15.0% (1,362) | 25.9% (605) |
| Less than High School | 10.3% (936) | 7.2% (168) |
| Bachelor's Degree and Higher | 18.0% (1,634) | 13.5% (316) |
Education Levels Comparison: Pratt vs Roaring spring
- In Roaring spring, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Pratt.
- In Roaring spring, the rate of residents with high school diplomas is higher at 25.9% compared to 15.0% in Pratt.
- More residents in Pratt have less than a high school education at 10.3% compared to 7.2% in Roaring spring.
- A higher percentage of residents in Pratt hold a bachelor's degree or higher at 18.0% compared to 13.5% in Roaring spring.
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.