Demographics details for Kingsland, GA vs Walnut bottom, PA
Population Overview
Compare main population characteristics in Kingsland, GA vs Walnut bottom, PA.
Data | Kingsland | Walnut bottom |
---|---|---|
Population | 19,896 | 422 |
Median Age | 33.1 years | 37.0 years |
Median Income | $73,839 | $55,000 |
Married Families | 36.0% | 50.0% |
Poverty Level | 9% | 10% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Kingsland vs Walnut bottom
- In Kingsland, the population is higher at 19,896, compared to 422 in Walnut bottom.
- The median age in Walnut bottom is higher at 37.0 years, compared to 33.1 years in Kingsland.
- Kingsland has a higher median income of $73,839 compared to $55,000 in Walnut bottom.
- In Walnut bottom, the percentage of married families is higher at 50.0%, compared to 36.0% in Kingsland.
- The poverty level is higher in Walnut bottom at 10%, compared to 9% in Kingsland.
- Walnut bottom has a higher unemployment rate at 4.5% compared to 3.5% in Kingsland.
Demographics
Demographics Kingsland vs Walnut bottom provide insight into the diversity of the communities to compare.
Demographic | Kingsland | Walnut bottom |
---|---|---|
Black | 21 | 1 |
White | 60 | 98 |
Asian | 2 | Data is updating |
Hispanic | 8 | 1 |
Two or More Races | 9 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingsland vs Walnut bottom
- A higher percentage of Black residents are in Kingsland at 21% compared to 1% in Walnut bottom.
- The percentage of White residents is higher in Walnut bottom at 98% compared to 60% in Kingsland.
- The Asian population is larger in Kingsland at 2% compared to 0% in Walnut bottom.
- The Hispanic community is larger in Kingsland at 8% compared to 1% in Walnut bottom.
- More residents identify as two or more races in Kingsland at 9% compared to 0% in Walnut bottom.
- The percentage of American Indian residents is the same in both Kingsland and Walnut bottom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingsland | Walnut bottom |
---|---|---|
Mental Health Not Good | 16.8% | Data is updating% |
Physical Health Not Good | 11.9% | Data is updating% |
Depression | 21.8% | Data is updating% |
Smoking | 17.3% | Data is updating% |
Binge Drinking | 16.1% | Data is updating% |
Obesity | 36.1% | Data is updating% |
Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Kingsland vs Walnut bottom
- More residents in Kingsland report poor mental health at 16.8% compared to 0.0% in Walnut bottom.
- Depression is more prevalent in Kingsland at 21.8% compared to 0.0% in Walnut bottom.
- Smoking is more prevalent in Kingsland at 17.3% compared to 0.0% in Walnut bottom.
- Binge drinking is more common in Kingsland at 16.1% compared to 0.0% in Walnut bottom.
- Obesity rates are higher in Kingsland at 36.1% compared to 0.0% in Walnut bottom.
- Disability percentages are higher in Kingsland at 9.0% compared to 0.0% in Walnut bottom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kingsland | Walnut bottom |
---|---|---|
No Schooling | 0.3% (51) | 0.0% (Data is updating) |
High School Diploma | 15.6% (3,105) | 0.0% (Data is updating) |
Less than High School | 5.9% (1,175) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 13.1% (2,616) | 0.0% (Data is updating) |
Education Levels Comparison: Kingsland vs Walnut bottom
- A higher percentage of residents in Kingsland have no formal schooling at 0.3% compared to 0.0% in Walnut bottom.
- A higher percentage of residents in Kingsland hold a high school diploma at 15.6% compared to 0.0% in Walnut bottom.
- More residents in Kingsland have less than a high school education at 5.9% compared to 0.0% in Walnut bottom.
- A higher percentage of residents in Kingsland hold a bachelor's degree or higher at 13.1% compared to 0.0% in Walnut bottom.
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.