Demographics details for Golden, CO vs Kingsland, GA
Population Overview
Compare main population characteristics in Golden, CO vs Kingsland, GA.
| Data | Golden | Kingsland |
|---|---|---|
| Population | 20,460 | 19,896 |
| Median Age | 35.2 years | 33.1 years |
| Median Income | $90,990 | $73,839 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Golden vs Kingsland
- In Golden, the population is higher at 20,460, compared to 19,896 in Kingsland.
- Residents in Golden have a higher median age of 35.2 years compared to 33.1 years in Kingsland.
- Golden has a higher median income of $90,990 compared to $73,839 in Kingsland.
- The percentage of married families is the same in both Golden and Kingsland at 36.0%.
- The poverty level is higher in Kingsland at 9%, compared to 0% in Golden.
- Kingsland has a higher unemployment rate at 3.5% compared to 2.5% in Golden.
Demographics
Demographics Golden vs Kingsland provide insight into the diversity of the communities to compare.
| Demographic | Golden | Kingsland |
|---|---|---|
| Black | 2 | 21 |
| White | 80 | 60 |
| Asian | 2 | 2 |
| Hispanic | 10 | 8 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Golden vs Kingsland
- In Kingsland, the percentage of Black residents is higher at 21% compared to 2% in Golden.
- Golden has a higher percentage of White residents at 80% compared to 60% in Kingsland.
- Both Golden and Kingsland have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Golden at 10% compared to 8% in Kingsland.
- The percentage of residents identifying as two or more races is higher in Kingsland at 9%, compared to 6% in Golden.
- The percentage of American Indian residents is the same in both Golden and Kingsland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden | Kingsland |
|---|---|---|
| Mental Health Not Good | 13.9% | 16.8% |
| Physical Health Not Good | 9.2% | 11.9% |
| Depression | 20.2% | 21.8% |
| Smoking | 13.5% | 17.3% |
| Binge Drinking | 22.0% | 16.1% |
| Obesity | 24.7% | 36.1% |
| Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Golden vs Kingsland
- In Kingsland, a higher percentage report poor mental health at 16.8% compared to 13.9% in Golden.
- Higher depression rates are seen in Kingsland at 21.8% versus 20.2% in Golden.
- Kingsland has a higher smoking rate at 17.3% compared to 13.5% in Golden.
- Binge drinking is more common in Golden at 22.0% compared to 16.1% in Kingsland.
- Kingsland has higher obesity rates at 36.1% compared to 24.7% in Golden.
- There is a higher percentage of disabled individuals in Kingsland at 9.0% compared to 8.0% in Golden.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Golden | Kingsland |
|---|---|---|
| No Schooling | 0.2% (40) | 0.3% (51) |
| High School Diploma | 10.2% (2,094) | 15.6% (3,105) |
| Less than High School | 5.3% (1,085) | 5.9% (1,175) |
| Bachelor's Degree and Higher | 35.1% (7,177) | 13.1% (2,616) |
Education Levels Comparison: Golden vs Kingsland
- In Kingsland, a larger percentage of residents lack formal schooling at 0.3% compared to 0.2% in Golden.
- In Kingsland, the rate of residents with high school diplomas is higher at 15.6% compared to 10.2% in Golden.
- The percentage of residents with less than a high school education is higher in Kingsland at 5.9%, compared to 5.3% in Golden.
- A higher percentage of residents in Golden hold a bachelor's degree or higher at 35.1% 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.