Demographics details for Rock spring, GA vs Paris, IL
Population Overview
Compare main population characteristics in Rock spring, GA vs Paris, IL.
Data | Rock spring | Paris |
---|---|---|
Population | 6,865 | 8,084 |
Median Age | 40.5 years | 41.8 years |
Median Income | $66,518 | $50,080 |
Married Families | 44.0% | 46.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Rock spring vs Paris
- The population in Paris is higher at 8,084, compared to 6,865 in Rock spring.
- The median age in Paris is higher at 41.8 years, compared to 40.5 years in Rock spring.
- Rock spring has a higher median income of $66,518 compared to $50,080 in Paris.
- In Paris, the percentage of married families is higher at 46.0%, compared to 44.0% in Rock spring.
- The poverty level is higher in Paris at 12%, compared to 10% in Rock spring.
- Paris has a higher unemployment rate at 6.5% compared to 3.5% in Rock spring.
Demographics
Demographics Rock spring vs Paris provide insight into the diversity of the communities to compare.
Demographic | Rock spring | Paris |
---|---|---|
Black | 3 | 1 |
White | 92 | 96 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | 2 |
Two or More Races | 3 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Rock spring vs Paris
- A higher percentage of Black residents are in Rock spring at 3% compared to 1% in Paris.
- The percentage of White residents is higher in Paris at 96% compared to 92% in Rock spring.
- Both Rock spring and Paris have the same percentage of Asian residents at 0%.
- Paris has a higher percentage of Hispanic residents at 2%, compared to 1% in Rock spring.
- More residents identify as two or more races in Rock spring at 3% compared to 1% in Paris.
- A greater percentage of American Indian residents live in Rock spring at 1% compared to 0% in Paris.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rock spring | Paris |
---|---|---|
Mental Health Not Good | Data is updating% | 17.1% |
Physical Health Not Good | Data is updating% | 11.6% |
Depression | Data is updating% | 22.9% |
Smoking | Data is updating% | 18.8% |
Binge Drinking | Data is updating% | 18.0% |
Obesity | Data is updating% | 36.1% |
Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Rock spring vs Paris
- In Paris, a higher percentage report poor mental health at 17.1% compared to 0.0% in Rock spring.
- Higher depression rates are seen in Paris at 22.9% versus 0.0% in Rock spring.
- Paris has a higher smoking rate at 18.8% compared to 0.0% in Rock spring.
- More residents engage in binge drinking in Paris at 18.0% compared to 0.0% in Rock spring.
- Paris has higher obesity rates at 36.1% compared to 0.0% in Rock spring.
- There is a higher percentage of disabled individuals in Paris at 20.0% compared to 14.0% in Rock spring.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Rock spring | Paris |
---|---|---|
No Schooling | 0.4% (25) | 1.9% (157) |
High School Diploma | 13.9% (956) | 23.3% (1,881) |
Less than High School | 16.7% (1,144) | 25.1% (2,033) |
Bachelor's Degree and Higher | 13.6% (934) | 12.8% (1,035) |
Education Levels Comparison: Rock spring vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 1.9% compared to 0.4% in Rock spring.
- In Paris, the rate of residents with high school diplomas is higher at 23.3% compared to 13.9% in Rock spring.
- The percentage of residents with less than a high school education is higher in Paris at 25.1%, compared to 16.7% in Rock spring.
- A higher percentage of residents in Rock spring hold a bachelor's degree or higher at 13.6% compared to 12.8% in Paris.
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.