Demographics details for Kingsland, GA vs Everett, WA
Population Overview
Compare main population characteristics in Kingsland, GA vs Everett, WA.
| Data | Kingsland | Everett |
|---|---|---|
| Population | 19,896 | 111,337 |
| Median Age | 33.1 years | 36.4 years |
| Median Income | $73,839 | $77,806 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Kingsland vs Everett
- The population in Everett is higher at 111,337, compared to 19,896 in Kingsland.
- The median age in Everett is higher at 36.4 years, compared to 33.1 years in Kingsland.
- Everett has a higher median income of $77,806, compared to $73,839 in Kingsland.
- A higher percentage of married families is found in Kingsland at 36.0% compared to 34.0% in Everett.
- The poverty level is higher in Everett at 10%, compared to 9% in Kingsland.
- Everett has a higher unemployment rate at 5.1% compared to 3.5% in Kingsland.
Demographics
Demographics Kingsland vs Everett provide insight into the diversity of the communities to compare.
| Demographic | Kingsland | Everett |
|---|---|---|
| Black | 21 | 6 |
| White | 60 | 56 |
| Asian | 2 | 10 |
| Hispanic | 8 | 17 |
| Two or More Races | 9 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kingsland vs Everett
- A higher percentage of Black residents are in Kingsland at 21% compared to 6% in Everett.
- Kingsland has a higher percentage of White residents at 60% compared to 56% in Everett.
- In Everett, the Asian population stands at 10%, greater than 2% in Kingsland.
- Everett has a higher percentage of Hispanic residents at 17%, compared to 8% in Kingsland.
- The percentage of residents identifying as two or more races is higher in Everett at 10%, compared to 9% in Kingsland.
- In Everett, the percentage of American Indian residents is higher at 1%, compared to 0% in Kingsland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsland | Everett |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.1% |
| Physical Health Not Good | 11.9% | 12.4% |
| Depression | 21.8% | 29.8% |
| Smoking | 17.3% | 14.5% |
| Binge Drinking | 16.1% | 15.3% |
| Obesity | 36.1% | 35.3% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Kingsland vs Everett
- In Everett, a higher percentage report poor mental health at 18.1% compared to 16.8% in Kingsland.
- Higher depression rates are seen in Everett at 29.8% versus 21.8% in Kingsland.
- Smoking is more prevalent in Kingsland at 17.3% compared to 14.5% in Everett.
- Binge drinking is more common in Kingsland at 16.1% compared to 15.3% in Everett.
- Obesity rates are higher in Kingsland at 36.1% compared to 35.3% in Everett.
- There is a higher percentage of disabled individuals in Everett at 14.0% compared to 9.0% in Kingsland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingsland | Everett |
|---|---|---|
| No Schooling | 0.3% (51) | 1.4% (1,505) |
| High School Diploma | 15.6% (3,105) | 14.6% (16,295) |
| Less than High School | 5.9% (1,175) | 13.8% (15,320) |
| Bachelor's Degree and Higher | 13.1% (2,616) | 18.9% (21,025) |
Education Levels Comparison: Kingsland vs Everett
- In Everett, a larger percentage of residents lack formal schooling at 1.4% compared to 0.3% in Kingsland.
- A higher percentage of residents in Kingsland hold a high school diploma at 15.6% compared to 14.6% in Everett.
- The percentage of residents with less than a high school education is higher in Everett at 13.8%, compared to 5.9% in Kingsland.
- In Everett, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 13.1% in Kingsland.
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.