Demographics details for Dublin, GA vs Independence, LA
Population Overview
Compare main population characteristics in Dublin, GA vs Independence, LA.
Data | Dublin | Independence |
---|---|---|
Population | 15,946 | 1,644 |
Median Age | 34.9 years | 36.0 years |
Median Income | $37,734 | $41,071 |
Married Families | 25.0% | 37.0% |
Poverty Level | 20% | 23% |
Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Dublin vs Independence
- In Dublin, the population is higher at 15,946, compared to 1,644 in Independence.
- The median age in Independence is higher at 36.0 years, compared to 34.9 years in Dublin.
- Independence has a higher median income of $41,071, compared to $37,734 in Dublin.
- In Independence, the percentage of married families is higher at 37.0%, compared to 25.0% in Dublin.
- The poverty level is higher in Independence at 23%, compared to 20% in Dublin.
- Independence has a higher unemployment rate at 5.2% compared to 3.5% in Dublin.
Demographics
Demographics Dublin vs Independence provide insight into the diversity of the communities to compare.
Demographic | Dublin | Independence |
---|---|---|
Black | 66 | 66 |
White | 29 | 20 |
Asian | 3 | Data is updating |
Hispanic | 1 | 5 |
Two or More Races | 1 | 9 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Dublin vs Independence
- The percentage of Black residents is the same in both Dublin and Independence at 66%.
- Dublin has a higher percentage of White residents at 29% compared to 20% in Independence.
- The Asian population is larger in Dublin at 3% compared to 0% in Independence.
- Independence has a higher percentage of Hispanic residents at 5%, compared to 1% in Dublin.
- The percentage of residents identifying as two or more races is higher in Independence at 9%, compared to 1% in Dublin.
- The percentage of American Indian residents is the same in both Dublin and Independence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dublin | Independence |
---|---|---|
Mental Health Not Good | 19.8% | 22.5% |
Physical Health Not Good | 15.4% | 16.4% |
Depression | 22.1% | 26.8% |
Smoking | 22.1% | 26.7% |
Binge Drinking | 12.3% | 16.5% |
Obesity | 43.4% | 43.8% |
Disability Percentage | 14.0% | 26.0% |
Health Statistics Comparison: Dublin vs Independence
- In Independence, a higher percentage report poor mental health at 22.5% compared to 19.8% in Dublin.
- Higher depression rates are seen in Independence at 26.8% versus 22.1% in Dublin.
- Independence has a higher smoking rate at 26.7% compared to 22.1% in Dublin.
- More residents engage in binge drinking in Independence at 16.5% compared to 12.3% in Dublin.
- Independence has higher obesity rates at 43.8% compared to 43.4% in Dublin.
- There is a higher percentage of disabled individuals in Independence at 26.0% compared to 14.0% in Dublin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dublin | Independence |
---|---|---|
No Schooling | 1.0% (165) | 0.4% (7) |
High School Diploma | 24.2% (3,864) | 27.1% (445) |
Less than High School | 12.8% (2,046) | 24.4% (401) |
Bachelor's Degree and Higher | 13.6% (2,168) | 11.5% (189) |
Education Levels Comparison: Dublin vs Independence
- A higher percentage of residents in Dublin have no formal schooling at 1.0% compared to 0.4% in Independence.
- In Independence, the rate of residents with high school diplomas is higher at 27.1% compared to 24.2% in Dublin.
- The percentage of residents with less than a high school education is higher in Independence at 24.4%, compared to 12.8% in Dublin.
- A higher percentage of residents in Dublin hold a bachelor's degree or higher at 13.6% compared to 11.5% in Independence.
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.