Demographics details for Golden, CO vs Freeland, WA
Population Overview
Compare main population characteristics in Golden, CO vs Freeland, WA.
Data | Golden | Freeland |
---|---|---|
Population | 20,460 | 1,894 |
Median Age | 35.2 years | 51.2 years |
Median Income | $90,990 | $89,868 |
Married Families | 36.0% | 44.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 2.5 | 5.1 |
Population Comparison: Golden vs Freeland
- In Golden, the population is higher at 20,460, compared to 1,894 in Freeland.
- The median age in Freeland is higher at 51.2 years, compared to 35.2 years in Golden.
- Golden has a higher median income of $90,990 compared to $89,868 in Freeland.
- In Freeland, the percentage of married families is higher at 44.0%, compared to 36.0% in Golden.
- The poverty level is higher in Freeland at 5%, compared to 0% in Golden.
- Freeland has a higher unemployment rate at 5.1% compared to 2.5% in Golden.
Demographics
Demographics Golden vs Freeland provide insight into the diversity of the communities to compare.
Demographic | Golden | Freeland |
---|---|---|
Black | 2 | 3 |
White | 80 | 86 |
Asian | 2 | 1 |
Hispanic | 10 | 3 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Golden vs Freeland
- In Freeland, the percentage of Black residents is higher at 3% compared to 2% in Golden.
- The percentage of White residents is higher in Freeland at 86% compared to 80% in Golden.
- The Asian population is larger in Golden at 2% compared to 1% in Freeland.
- The Hispanic community is larger in Golden at 10% compared to 3% in Freeland.
- Both Golden and Freeland have the same percentage of residents identifying as two or more races at 6%.
- In Freeland, the percentage of American Indian residents is higher at 1%, compared to 0% in Golden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Golden | Freeland |
---|---|---|
Mental Health Not Good | 13.9% | 15.8% |
Physical Health Not Good | 9.2% | 9.2% |
Depression | 20.2% | 25.5% |
Smoking | 13.5% | 11.8% |
Binge Drinking | 22.0% | 18.0% |
Obesity | 24.7% | 29.6% |
Disability Percentage | 8.0% | 19.0% |
Health Statistics Comparison: Golden vs Freeland
- In Freeland, a higher percentage report poor mental health at 15.8% compared to 13.9% in Golden.
- Higher depression rates are seen in Freeland at 25.5% versus 20.2% in Golden.
- Smoking is more prevalent in Golden at 13.5% compared to 11.8% in Freeland.
- Binge drinking is more common in Golden at 22.0% compared to 18.0% in Freeland.
- Freeland has higher obesity rates at 29.6% compared to 24.7% in Golden.
- There is a higher percentage of disabled individuals in Freeland at 19.0% 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 | Freeland |
---|---|---|
No Schooling | 0.2% (40) | 0.0% (Data is updating) |
High School Diploma | 10.2% (2,094) | 8.1% (153) |
Less than High School | 5.3% (1,085) | 8.7% (164) |
Bachelor's Degree and Higher | 35.1% (7,177) | 28.9% (548) |
Education Levels Comparison: Golden vs Freeland
- A higher percentage of residents in Golden have no formal schooling at 0.2% compared to 0.0% in Freeland.
- A higher percentage of residents in Golden hold a high school diploma at 10.2% compared to 8.1% in Freeland.
- The percentage of residents with less than a high school education is higher in Freeland at 8.7%, 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 28.9% in Freeland.
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.