Demographics details for Saint marks, FL vs Golden, CO
Population Overview
Compare main population characteristics in Saint marks, FL vs Golden, CO.
Data | Saint marks | Golden |
---|---|---|
Population | 295 | 20,460 |
Median Age | 60.1 years | 35.2 years |
Median Income | $47,500 | $90,990 |
Married Families | 51.0% | 36.0% |
Poverty Level | Data is updating | Data is updating |
Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Saint marks vs Golden
- The population in Golden is higher at 20,460, compared to 295 in Saint marks.
- Residents in Saint marks have a higher median age of 60.1 years compared to 35.2 years in Golden.
- Golden has a higher median income of $90,990, compared to $47,500 in Saint marks.
- A higher percentage of married families is found in Saint marks at 51.0% compared to 36.0% in Golden.
- The poverty level is identical in both Saint marks and Golden at 0%.
- The unemployment rate in Saint marks is higher at 4.5%, compared to 2.5% in Golden.
Demographics
Demographics Saint marks vs Golden provide insight into the diversity of the communities to compare.
Demographic | Saint marks | Golden |
---|---|---|
Black | Data is updating | 2 |
White | 98 | 80 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 10 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Saint marks vs Golden
- In Golden, the percentage of Black residents is higher at 2% compared to 0% in Saint marks.
- Saint marks has a higher percentage of White residents at 98% compared to 80% in Golden.
- In Golden, the Asian population stands at 2%, greater than 0% in Saint marks.
- Golden has a higher percentage of Hispanic residents at 10%, compared to 0% in Saint marks.
- The percentage of residents identifying as two or more races is higher in Golden at 6%, compared to 2% in Saint marks.
- The percentage of American Indian residents is the same in both Saint marks and Golden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saint marks | Golden |
---|---|---|
Mental Health Not Good | 18.6% | 13.9% |
Physical Health Not Good | 12.7% | 9.2% |
Depression | 23.2% | 20.2% |
Smoking | 25.2% | 13.5% |
Binge Drinking | 17.4% | 22.0% |
Obesity | 31.9% | 24.7% |
Disability Percentage | 12.0% | 8.0% |
Health Statistics Comparison: Saint marks vs Golden
- More residents in Saint marks report poor mental health at 18.6% compared to 13.9% in Golden.
- Depression is more prevalent in Saint marks at 23.2% compared to 20.2% in Golden.
- Smoking is more prevalent in Saint marks at 25.2% compared to 13.5% in Golden.
- More residents engage in binge drinking in Golden at 22.0% compared to 17.4% in Saint marks.
- Obesity rates are higher in Saint marks at 31.9% compared to 24.7% in Golden.
- Disability percentages are higher in Saint marks at 12.0% 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 | Saint marks | Golden |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.2% (40) |
High School Diploma | 23.7% (70) | 10.2% (2,094) |
Less than High School | 9.5% (28) | 5.3% (1,085) |
Bachelor's Degree and Higher | 4.1% (12) | 35.1% (7,177) |
Education Levels Comparison: Saint marks vs Golden
- In Golden, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Saint marks.
- A higher percentage of residents in Saint marks hold a high school diploma at 23.7% compared to 10.2% in Golden.
- More residents in Saint marks have less than a high school education at 9.5% compared to 5.3% in Golden.
- In Golden, a larger share of residents have a bachelor's degree or higher at 35.1% compared to 4.1% in Saint marks.
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.