Demographics details for Dalton, GA vs Blue springs, MO
Population Overview
Compare main population characteristics in Dalton, GA vs Blue springs, MO.
Data | Dalton | Blue springs |
---|---|---|
Population | 34,366 | 59,518 |
Median Age | 34.0 years | 36.6 years |
Median Income | $57,163 | $82,965 |
Married Families | 33.0% | 42.0% |
Poverty Level | 17% | 9% |
Unemployment Rate | 4.8 | 3.7 |
Population Comparison: Dalton vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 34,366 in Dalton.
- The median age in Blue springs is higher at 36.6 years, compared to 34.0 years in Dalton.
- Blue springs has a higher median income of $82,965, compared to $57,163 in Dalton.
- In Blue springs, the percentage of married families is higher at 42.0%, compared to 33.0% in Dalton.
- Dalton has a higher poverty level at 17% compared to 9% in Blue springs.
- The unemployment rate in Dalton is higher at 4.8%, compared to 3.7% in Blue springs.
Demographics
Demographics Dalton vs Blue springs provide insight into the diversity of the communities to compare.
Demographic | Dalton | Blue springs |
---|---|---|
Black | 5 | 7 |
White | 27 | 79 |
Asian | 3 | 1 |
Hispanic | 51 | 7 |
Two or More Races | 10 | 6 |
American Indian | 4 | Data is updating |
Demographics Comparison: Dalton vs Blue springs
- In Blue springs, the percentage of Black residents is higher at 7% compared to 5% in Dalton.
- The percentage of White residents is higher in Blue springs at 79% compared to 27% in Dalton.
- The Asian population is larger in Dalton at 3% compared to 1% in Blue springs.
- The Hispanic community is larger in Dalton at 51% compared to 7% in Blue springs.
- More residents identify as two or more races in Dalton at 10% compared to 6% in Blue springs.
- A greater percentage of American Indian residents live in Dalton at 4% compared to 0% in Blue springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dalton | Blue springs |
---|---|---|
Mental Health Not Good | 18.4% | 17.3% |
Physical Health Not Good | 15.6% | 10.4% |
Depression | 21.0% | 22.8% |
Smoking | 20.9% | 15.6% |
Binge Drinking | 14.1% | 21.5% |
Obesity | 38.1% | 34.7% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Dalton vs Blue springs
- More residents in Dalton report poor mental health at 18.4% compared to 17.3% in Blue springs.
- Higher depression rates are seen in Blue springs at 22.8% versus 21.0% in Dalton.
- Smoking is more prevalent in Dalton at 20.9% compared to 15.6% in Blue springs.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 14.1% in Dalton.
- Obesity rates are higher in Dalton at 38.1% compared to 34.7% in Blue springs.
- Disability percentages are the same in both Dalton and Blue springs at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dalton | Blue springs |
---|---|---|
No Schooling | 3.9% (1,330) | 0.3% (178) |
High School Diploma | 12.3% (4,231) | 16.5% (9,835) |
Less than High School | 36.8% (12,657) | 4.9% (2,932) |
Bachelor's Degree and Higher | 14.5% (4,996) | 21.8% (12,992) |
Education Levels Comparison: Dalton vs Blue springs
- A higher percentage of residents in Dalton have no formal schooling at 3.9% compared to 0.3% in Blue springs.
- In Blue springs, the rate of residents with high school diplomas is higher at 16.5% compared to 12.3% in Dalton.
- More residents in Dalton have less than a high school education at 36.8% compared to 4.9% in Blue springs.
- In Blue springs, a larger share of residents have a bachelor's degree or higher at 21.8% compared to 14.5% in Dalton.
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.