Demographics details for Kingsland, GA vs Wallsburg, UT
Population Overview
Compare main population characteristics in Kingsland, GA vs Wallsburg, UT.
Data | Kingsland | Wallsburg |
---|---|---|
Population | 19,896 | 297 |
Median Age | 33.1 years | 40.9 years |
Median Income | $73,839 | $99,500 |
Married Families | 36.0% | 53.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Kingsland vs Wallsburg
- In Kingsland, the population is higher at 19,896, compared to 297 in Wallsburg.
- The median age in Wallsburg is higher at 40.9 years, compared to 33.1 years in Kingsland.
- Wallsburg has a higher median income of $99,500, compared to $73,839 in Kingsland.
- In Wallsburg, the percentage of married families is higher at 53.0%, compared to 36.0% in Kingsland.
- Kingsland has a higher poverty level at 9% compared to 0% in Wallsburg.
- The unemployment rate in Kingsland is higher at 3.5%, compared to 2.5% in Wallsburg.
Demographics
Demographics Kingsland vs Wallsburg provide insight into the diversity of the communities to compare.
Demographic | Kingsland | Wallsburg |
---|---|---|
Black | 21 | Data is updating |
White | 60 | 93 |
Asian | 2 | Data is updating |
Hispanic | 8 | 7 |
Two or More Races | 9 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingsland vs Wallsburg
- A higher percentage of Black residents are in Kingsland at 21% compared to 0% in Wallsburg.
- The percentage of White residents is higher in Wallsburg at 93% compared to 60% in Kingsland.
- The Asian population is larger in Kingsland at 2% compared to 0% in Wallsburg.
- The Hispanic community is larger in Kingsland at 8% compared to 7% in Wallsburg.
- More residents identify as two or more races in Kingsland at 9% compared to 0% in Wallsburg.
- The percentage of American Indian residents is the same in both Kingsland and Wallsburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingsland | Wallsburg |
---|---|---|
Mental Health Not Good | 16.8% | 15.3% |
Physical Health Not Good | 11.9% | 9.7% |
Depression | 21.8% | 22.8% |
Smoking | 17.3% | 9.1% |
Binge Drinking | 16.1% | 13.2% |
Obesity | 36.1% | 28.0% |
Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Kingsland vs Wallsburg
- More residents in Kingsland report poor mental health at 16.8% compared to 15.3% in Wallsburg.
- Higher depression rates are seen in Wallsburg at 22.8% versus 21.8% in Kingsland.
- Smoking is more prevalent in Kingsland at 17.3% compared to 9.1% in Wallsburg.
- Binge drinking is more common in Kingsland at 16.1% compared to 13.2% in Wallsburg.
- Obesity rates are higher in Kingsland at 36.1% compared to 28.0% in Wallsburg.
- There is a higher percentage of disabled individuals in Wallsburg at 11.0% 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 | Wallsburg |
---|---|---|
No Schooling | 0.3% (51) | 0.0% (Data is updating) |
High School Diploma | 15.6% (3,105) | 27.6% (82) |
Less than High School | 5.9% (1,175) | 7.4% (22) |
Bachelor's Degree and Higher | 13.1% (2,616) | 9.4% (28) |
Education Levels Comparison: Kingsland vs Wallsburg
- A higher percentage of residents in Kingsland have no formal schooling at 0.3% compared to 0.0% in Wallsburg.
- In Wallsburg, the rate of residents with high school diplomas is higher at 27.6% compared to 15.6% in Kingsland.
- The percentage of residents with less than a high school education is higher in Wallsburg at 7.4%, compared to 5.9% in Kingsland.
- A higher percentage of residents in Kingsland hold a bachelor's degree or higher at 13.1% compared to 9.4% in Wallsburg.
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.