Demographics details for Wakita, OK vs Dalton, GA
Population Overview
Compare main population characteristics in Wakita, OK vs Dalton, GA.
| Data | Wakita | Dalton |
|---|---|---|
| Population | 307 | 34,366 |
| Median Age | 35.5 years | 34.0 years |
| Median Income | $34,375 | $57,163 |
| Married Families | 32.0% | 33.0% |
| Poverty Level | 15% | 17% |
| Unemployment Rate | 3.5 | 4.8 |
Population Comparison: Wakita vs Dalton
- The population in Dalton is higher at 34,366, compared to 307 in Wakita.
- Residents in Wakita have a higher median age of 35.5 years compared to 34.0 years in Dalton.
- Dalton has a higher median income of $57,163, compared to $34,375 in Wakita.
- In Dalton, the percentage of married families is higher at 33.0%, compared to 32.0% in Wakita.
- The poverty level is higher in Dalton at 17%, compared to 15% in Wakita.
- Dalton has a higher unemployment rate at 4.8% compared to 3.5% in Wakita.
Demographics
Demographics Wakita vs Dalton provide insight into the diversity of the communities to compare.
| Demographic | Wakita | Dalton |
|---|---|---|
| Black | Data is updating | 5 |
| White | 74 | 27 |
| Asian | Data is updating | 3 |
| Hispanic | 20 | 51 |
| Two or More Races | 4 | 10 |
| American Indian | 2 | 4 |
Demographics Comparison: Wakita vs Dalton
- In Dalton, the percentage of Black residents is higher at 5% compared to 0% in Wakita.
- Wakita has a higher percentage of White residents at 74% compared to 27% in Dalton.
- In Dalton, the Asian population stands at 3%, greater than 0% in Wakita.
- Dalton has a higher percentage of Hispanic residents at 51%, compared to 20% in Wakita.
- The percentage of residents identifying as two or more races is higher in Dalton at 10%, compared to 4% in Wakita.
- In Dalton, the percentage of American Indian residents is higher at 4%, compared to 2% in Wakita.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wakita | Dalton |
|---|---|---|
| Mental Health Not Good | 17.8% | 18.4% |
| Physical Health Not Good | 11.4% | 15.6% |
| Depression | 25.5% | 21.0% |
| Smoking | 17.8% | 20.9% |
| Binge Drinking | 15.8% | 14.1% |
| Obesity | 39.1% | 38.1% |
| Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Wakita vs Dalton
- In Dalton, a higher percentage report poor mental health at 18.4% compared to 17.8% in Wakita.
- Depression is more prevalent in Wakita at 25.5% compared to 21.0% in Dalton.
- Dalton has a higher smoking rate at 20.9% compared to 17.8% in Wakita.
- Binge drinking is more common in Wakita at 15.8% compared to 14.1% in Dalton.
- Obesity rates are higher in Wakita at 39.1% compared to 38.1% in Dalton.
- Disability percentages are higher in Wakita at 19.0% compared to 10.0% in Dalton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wakita | Dalton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.9% (1,330) |
| High School Diploma | 25.1% (77) | 12.3% (4,231) |
| Less than High School | 10.4% (32) | 36.8% (12,657) |
| Bachelor's Degree and Higher | 11.4% (35) | 14.5% (4,996) |
Education Levels Comparison: Wakita vs Dalton
- In Dalton, a larger percentage of residents lack formal schooling at 3.9% compared to 0.0% in Wakita.
- A higher percentage of residents in Wakita hold a high school diploma at 25.1% compared to 12.3% in Dalton.
- The percentage of residents with less than a high school education is higher in Dalton at 36.8%, compared to 10.4% in Wakita.
- In Dalton, a larger share of residents have a bachelor's degree or higher at 14.5% compared to 11.4% in Wakita.
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.