Demographics details for Chickasha, OK vs Roaring spring, PA
Population Overview
Compare main population characteristics in Chickasha, OK vs Roaring spring, PA.
Data | Chickasha | Roaring spring |
---|---|---|
Population | 16,549 | 2,333 |
Median Age | 36.4 years | 36.1 years |
Median Income | $55,136 | $63,194 |
Married Families | 34.0% | 43.0% |
Poverty Level | 17% | 10% |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Chickasha vs Roaring spring
- In Chickasha, the population is higher at 16,549, compared to 2,333 in Roaring spring.
- Residents in Chickasha have a higher median age of 36.4 years compared to 36.1 years in Roaring spring.
- Roaring spring has a higher median income of $63,194, compared to $55,136 in Chickasha.
- In Roaring spring, the percentage of married families is higher at 43.0%, compared to 34.0% in Chickasha.
- Chickasha has a higher poverty level at 17% compared to 10% in Roaring spring.
- Roaring spring has a higher unemployment rate at 5.0% compared to 3.2% in Chickasha.
Demographics
Demographics Chickasha vs Roaring spring provide insight into the diversity of the communities to compare.
Demographic | Chickasha | Roaring spring |
---|---|---|
Black | 6 | 1 |
White | 71 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | 8 | 3 |
Two or More Races | 11 | 5 |
American Indian | 4 | Data is updating |
Demographics Comparison: Chickasha vs Roaring spring
- A higher percentage of Black residents are in Chickasha at 6% compared to 1% in Roaring spring.
- The percentage of White residents is higher in Roaring spring at 91% compared to 71% in Chickasha.
- Both Chickasha and Roaring spring have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Chickasha at 8% compared to 3% in Roaring spring.
- More residents identify as two or more races in Chickasha at 11% compared to 5% in Roaring spring.
- A greater percentage of American Indian residents live in Chickasha at 4% compared to 0% in Roaring spring.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chickasha | Roaring spring |
---|---|---|
Mental Health Not Good | 19.1% | 18.2% |
Physical Health Not Good | 13.7% | 12.2% |
Depression | 25.4% | 25.5% |
Smoking | 21.8% | 21.4% |
Binge Drinking | 13.8% | 18.5% |
Obesity | 40.8% | 34.7% |
Disability Percentage | 18.0% | 14.0% |
Health Statistics Comparison: Chickasha vs Roaring spring
- More residents in Chickasha report poor mental health at 19.1% compared to 18.2% in Roaring spring.
- Higher depression rates are seen in Roaring spring at 25.5% versus 25.4% in Chickasha.
- Smoking is more prevalent in Chickasha at 21.8% compared to 21.4% in Roaring spring.
- More residents engage in binge drinking in Roaring spring at 18.5% compared to 13.8% in Chickasha.
- Obesity rates are higher in Chickasha at 40.8% compared to 34.7% in Roaring spring.
- Disability percentages are higher in Chickasha at 18.0% compared to 14.0% in Roaring spring.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chickasha | Roaring spring |
---|---|---|
No Schooling | 0.5% (78) | 0.4% (9) |
High School Diploma | 22.5% (3,730) | 25.9% (605) |
Less than High School | 13.1% (2,160) | 7.2% (168) |
Bachelor's Degree and Higher | 12.5% (2,066) | 13.5% (316) |
Education Levels Comparison: Chickasha vs Roaring spring
- A higher percentage of residents in Chickasha have no formal schooling at 0.5% compared to 0.4% in Roaring spring.
- In Roaring spring, the rate of residents with high school diplomas is higher at 25.9% compared to 22.5% in Chickasha.
- More residents in Chickasha have less than a high school education at 13.1% compared to 7.2% in Roaring spring.
- In Roaring spring, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 12.5% in Chickasha.
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.