Demographics details for Clarkesville, GA vs Wakita, OK
Population Overview
Compare main population characteristics in Clarkesville, GA vs Wakita, OK.
Data | Clarkesville | Wakita |
---|---|---|
Population | 2,112 | 307 |
Median Age | 47.4 years | 35.5 years |
Median Income | $64,848 | $34,375 |
Married Families | 30.0% | 32.0% |
Poverty Level | Data is updating | 15% |
Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Clarkesville vs Wakita
- In Clarkesville, the population is higher at 2,112, compared to 307 in Wakita.
- Residents in Clarkesville have a higher median age of 47.4 years compared to 35.5 years in Wakita.
- Clarkesville has a higher median income of $64,848 compared to $34,375 in Wakita.
- In Wakita, the percentage of married families is higher at 32.0%, compared to 30.0% in Clarkesville.
- The poverty level is higher in Wakita at 15%, compared to 0% in Clarkesville.
- Wakita has a higher unemployment rate at 3.5% compared to 3.1% in Clarkesville.
Demographics
Demographics Clarkesville vs Wakita provide insight into the diversity of the communities to compare.
Demographic | Clarkesville | Wakita |
---|---|---|
Black | 8 | Data is updating |
White | 81 | 74 |
Asian | 1 | Data is updating |
Hispanic | 4 | 20 |
Two or More Races | 6 | 4 |
American Indian | Data is updating | 2 |
Demographics Comparison: Clarkesville vs Wakita
- A higher percentage of Black residents are in Clarkesville at 8% compared to 0% in Wakita.
- Clarkesville has a higher percentage of White residents at 81% compared to 74% in Wakita.
- The Asian population is larger in Clarkesville at 1% compared to 0% in Wakita.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 4% in Clarkesville.
- More residents identify as two or more races in Clarkesville at 6% compared to 4% in Wakita.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Clarkesville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Clarkesville | Wakita |
---|---|---|
Mental Health Not Good | 17.5% | 17.8% |
Physical Health Not Good | 12.6% | 11.4% |
Depression | 23.6% | 25.5% |
Smoking | 18.4% | 17.8% |
Binge Drinking | 16.3% | 15.8% |
Obesity | 31.5% | 39.1% |
Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Clarkesville vs Wakita
- In Wakita, a higher percentage report poor mental health at 17.8% compared to 17.5% in Clarkesville.
- Higher depression rates are seen in Wakita at 25.5% versus 23.6% in Clarkesville.
- Smoking is more prevalent in Clarkesville at 18.4% compared to 17.8% in Wakita.
- Binge drinking is more common in Clarkesville at 16.3% compared to 15.8% in Wakita.
- Wakita has higher obesity rates at 39.1% compared to 31.5% in Clarkesville.
- There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 14.0% in Clarkesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Clarkesville | Wakita |
---|---|---|
No Schooling | 0.3% (6) | 0.0% (Data is updating) |
High School Diploma | 16.9% (356) | 25.1% (77) |
Less than High School | 15.2% (322) | 10.4% (32) |
Bachelor's Degree and Higher | 21.4% (453) | 11.4% (35) |
Education Levels Comparison: Clarkesville vs Wakita
- A higher percentage of residents in Clarkesville have no formal schooling at 0.3% compared to 0.0% in Wakita.
- In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 16.9% in Clarkesville.
- More residents in Clarkesville have less than a high school education at 15.2% compared to 10.4% in Wakita.
- A higher percentage of residents in Clarkesville hold a bachelor's degree or higher at 21.4% 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.