Demographics details for Stearns, KY vs Chunchula, AL
Population Overview
Compare main population characteristics in Stearns, KY vs Chunchula, AL.
Data | Stearns | Chunchula |
---|---|---|
Population | 1,224 | 152 |
Median Age | 48.0 years | 49.3 years |
Median Income | $38,333 | $35,896 |
Married Families | 52.0% | 32.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 4.5 | 3.1 |
Population Comparison: Stearns vs Chunchula
- In Stearns, the population is higher at 1,224, compared to 152 in Chunchula.
- The median age in Chunchula is higher at 49.3 years, compared to 48.0 years in Stearns.
- Stearns has a higher median income of $38,333 compared to $35,896 in Chunchula.
- A higher percentage of married families is found in Stearns at 52.0% compared to 32.0% in Chunchula.
- Stearns has a higher poverty level at 12% compared to 5% in Chunchula.
- The unemployment rate in Stearns is higher at 4.5%, compared to 3.1% in Chunchula.
Demographics
Demographics Stearns vs Chunchula provide insight into the diversity of the communities to compare.
Demographic | Stearns | Chunchula |
---|---|---|
Black | Data is updating | 69 |
White | 99 | 31 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | 1 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Stearns vs Chunchula
- In Chunchula, the percentage of Black residents is higher at 69% compared to 0% in Stearns.
- Stearns has a higher percentage of White residents at 99% compared to 31% in Chunchula.
- Both Stearns and Chunchula have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Stearns and Chunchula at 0%.
- More residents identify as two or more races in Stearns at 1% compared to 0% in Chunchula.
- The percentage of American Indian residents is the same in both Stearns and Chunchula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Stearns | Chunchula |
---|---|---|
Mental Health Not Good | 23.5% | 20.1% |
Physical Health Not Good | 19.0% | 14.4% |
Depression | 32.6% | 21.8% |
Smoking | 30.8% | 21.6% |
Binge Drinking | 13.4% | 15.9% |
Obesity | 43.4% | 43.3% |
Disability Percentage | 20.0% | 30.0% |
Health Statistics Comparison: Stearns vs Chunchula
- More residents in Stearns report poor mental health at 23.5% compared to 20.1% in Chunchula.
- Depression is more prevalent in Stearns at 32.6% compared to 21.8% in Chunchula.
- Smoking is more prevalent in Stearns at 30.8% compared to 21.6% in Chunchula.
- More residents engage in binge drinking in Chunchula at 15.9% compared to 13.4% in Stearns.
- Obesity rates are higher in Stearns at 43.4% compared to 43.3% in Chunchula.
- There is a higher percentage of disabled individuals in Chunchula at 30.0% compared to 20.0% in Stearns.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Stearns | Chunchula |
---|---|---|
No Schooling | 0.0% (Data is updating) | 24.3% (37) |
High School Diploma | 21.6% (264) | 16.4% (25) |
Less than High School | 20.1% (246) | 24.3% (37) |
Bachelor's Degree and Higher | 17.5% (214) | 18.4% (28) |
Education Levels Comparison: Stearns vs Chunchula
- In Chunchula, a larger percentage of residents lack formal schooling at 24.3% compared to 0.0% in Stearns.
- A higher percentage of residents in Stearns hold a high school diploma at 21.6% compared to 16.4% in Chunchula.
- The percentage of residents with less than a high school education is higher in Chunchula at 24.3%, compared to 20.1% in Stearns.
- In Chunchula, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 17.5% in Stearns.
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.