Demographics details for Stockton, GA vs Joy, IL
Population Overview
Compare main population characteristics in Stockton, GA vs Joy, IL.
Data | Stockton | Joy |
---|---|---|
Population | 556 | 362 |
Median Age | 39.0 years | 38.8 years |
Median Income | $57,000 | $65,625 |
Married Families | 60.0% | 42.0% |
Poverty Level | 12% | Data is updating |
Unemployment Rate | 4.0 | 0.5 |
Population Comparison: Stockton vs Joy
- In Stockton, the population is higher at 556, compared to 362 in Joy.
- Residents in Stockton have a higher median age of 39.0 years compared to 38.8 years in Joy.
- Joy has a higher median income of $65,625, compared to $57,000 in Stockton.
- A higher percentage of married families is found in Stockton at 60.0% compared to 42.0% in Joy.
- Stockton has a higher poverty level at 12% compared to 0% in Joy.
- The unemployment rate in Stockton is higher at 4.0%, compared to 0.5% in Joy.
Demographics
Demographics Stockton vs Joy provide insight into the diversity of the communities to compare.
Demographic | Stockton | Joy |
---|---|---|
Black | 10 | Data is updating |
White | 90 | 98 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 1 |
Two or More Races | Data is updating | 1 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Stockton vs Joy
- A higher percentage of Black residents are in Stockton at 10% compared to 0% in Joy.
- The percentage of White residents is higher in Joy at 98% compared to 90% in Stockton.
- Both Stockton and Joy have the same percentage of Asian residents at 0%.
- Joy has a higher percentage of Hispanic residents at 1%, compared to 0% in Stockton.
- The percentage of residents identifying as two or more races is higher in Joy at 1%, compared to 0% in Stockton.
- The percentage of American Indian residents is the same in both Stockton and Joy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Stockton | Joy |
---|---|---|
Mental Health Not Good | Data is updating% | 17.4% |
Physical Health Not Good | Data is updating% | 12.3% |
Depression | Data is updating% | 22.6% |
Smoking | Data is updating% | 20.6% |
Binge Drinking | Data is updating% | 18.1% |
Obesity | Data is updating% | 37.6% |
Disability Percentage | Data is updating% | 21.0% |
Health Statistics Comparison: Stockton vs Joy
- In Joy, a higher percentage report poor mental health at 17.4% compared to 0.0% in Stockton.
- Higher depression rates are seen in Joy at 22.6% versus 0.0% in Stockton.
- Joy has a higher smoking rate at 20.6% compared to 0.0% in Stockton.
- More residents engage in binge drinking in Joy at 18.1% compared to 0.0% in Stockton.
- Joy has higher obesity rates at 37.6% compared to 0.0% in Stockton.
- There is a higher percentage of disabled individuals in Joy at 21.0% compared to 0.0% in Stockton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Stockton | Joy |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 37.0% (134) |
Less than High School | 0.0% (Data is updating) | 14.9% (54) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 5.5% (20) |
Education Levels Comparison: Stockton vs Joy
- The percentage of residents with no formal schooling is the same in both Stockton and Joy at 0.0%.
- In Joy, the rate of residents with high school diplomas is higher at 37.0% compared to 0.0% in Stockton.
- The percentage of residents with less than a high school education is higher in Joy at 14.9%, compared to 0.0% in Stockton.
- In Joy, a larger share of residents have a bachelor's degree or higher at 5.5% compared to 0.0% in Stockton.
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.