Demographics details for Kingsland, GA vs Webster, FL
Population Overview
Compare main population characteristics in Kingsland, GA vs Webster, FL.
| Data | Kingsland | Webster |
|---|---|---|
| Population | 19,896 | 878 |
| Median Age | 33.1 years | 42.4 years |
| Median Income | $73,839 | $53,125 |
| Married Families | 36.0% | 35.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Kingsland vs Webster
- In Kingsland, the population is higher at 19,896, compared to 878 in Webster.
- The median age in Webster is higher at 42.4 years, compared to 33.1 years in Kingsland.
- Kingsland has a higher median income of $73,839 compared to $53,125 in Webster.
- A higher percentage of married families is found in Kingsland at 36.0% compared to 35.0% in Webster.
- The poverty level is higher in Webster at 12%, compared to 9% in Kingsland.
- The unemployment rate is the same in both Kingsland and Webster at 3.5%.
Demographics
Demographics Kingsland vs Webster provide insight into the diversity of the communities to compare.
| Demographic | Kingsland | Webster |
|---|---|---|
| Black | 21 | 15 |
| White | 60 | 75 |
| Asian | 2 | Data is updating |
| Hispanic | 8 | 62 |
| Two or More Races | 9 | 31 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingsland vs Webster
- A higher percentage of Black residents are in Kingsland at 21% compared to 15% in Webster.
- The percentage of White residents is higher in Webster at 75% compared to 60% in Kingsland.
- The Asian population is larger in Kingsland at 2% compared to 0% in Webster.
- Webster has a higher percentage of Hispanic residents at 62%, compared to 8% in Kingsland.
- The percentage of residents identifying as two or more races is higher in Webster at 31%, compared to 9% in Kingsland.
- The percentage of American Indian residents is the same in both Kingsland and Webster at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsland | Webster |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.9% |
| Physical Health Not Good | 11.9% | 15.6% |
| Depression | 21.8% | 20.6% |
| Smoking | 17.3% | 26.9% |
| Binge Drinking | 16.1% | 14.7% |
| Obesity | 36.1% | 42.4% |
| Disability Percentage | 9.0% | 19.0% |
Health Statistics Comparison: Kingsland vs Webster
- In Webster, a higher percentage report poor mental health at 18.9% compared to 16.8% in Kingsland.
- Depression is more prevalent in Kingsland at 21.8% compared to 20.6% in Webster.
- Webster has a higher smoking rate at 26.9% compared to 17.3% in Kingsland.
- Binge drinking is more common in Kingsland at 16.1% compared to 14.7% in Webster.
- Webster has higher obesity rates at 42.4% compared to 36.1% in Kingsland.
- There is a higher percentage of disabled individuals in Webster at 19.0% 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 | Webster |
|---|---|---|
| No Schooling | 0.3% (51) | 5.8% (51) |
| High School Diploma | 15.6% (3,105) | 32.9% (289) |
| Less than High School | 5.9% (1,175) | 36.4% (320) |
| Bachelor's Degree and Higher | 13.1% (2,616) | 9.3% (82) |
Education Levels Comparison: Kingsland vs Webster
- In Webster, a larger percentage of residents lack formal schooling at 5.8% compared to 0.3% in Kingsland.
- In Webster, the rate of residents with high school diplomas is higher at 32.9% compared to 15.6% in Kingsland.
- The percentage of residents with less than a high school education is higher in Webster at 36.4%, 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 9.3% in Webster.
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.