Demographics details for Golden city, MO vs Windsor, ME
Population Overview
Compare main population characteristics in Golden city, MO vs Windsor, ME.
| Data | Golden city | Windsor |
|---|---|---|
| Population | 654 | 2,575 |
| Median Age | 55.0 years | 44.8 years |
| Median Income | $37,679 | $70,417 |
| Married Families | 37.0% | 56.0% |
| Poverty Level | 10% | 7% |
| Unemployment Rate | 3.5 | 1.8 |
Population Comparison: Golden city vs Windsor
- The population in Windsor is higher at 2,575, compared to 654 in Golden city.
- Residents in Golden city have a higher median age of 55.0 years compared to 44.8 years in Windsor.
- Windsor has a higher median income of $70,417, compared to $37,679 in Golden city.
- In Windsor, the percentage of married families is higher at 56.0%, compared to 37.0% in Golden city.
- Golden city has a higher poverty level at 10% compared to 7% in Windsor.
- The unemployment rate in Golden city is higher at 3.5%, compared to 1.8% in Windsor.
Demographics
Demographics Golden city vs Windsor provide insight into the diversity of the communities to compare.
| Demographic | Golden city | Windsor |
|---|---|---|
| Black | Data is updating | 0.5 |
| White | 89 | 97.5 |
| Asian | Data is updating | 0.7 |
| Hispanic | 3 | 0.5 |
| Two or More Races | 6 | 1.3 |
| American Indian | 2 | 0.5 |
Demographics Comparison: Golden city vs Windsor
- In Windsor, the percentage of Black residents is higher at 0.5% compared to 0% in Golden city.
- The percentage of White residents is higher in Windsor at 97.5% compared to 89% in Golden city.
- In Windsor, the Asian population stands at 0.7%, greater than 0% in Golden city.
- The Hispanic community is larger in Golden city at 3% compared to 0.5% in Windsor.
- More residents identify as two or more races in Golden city at 6% compared to 1.3% in Windsor.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 0.5% in Windsor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden city | Windsor |
|---|---|---|
| Mental Health Not Good | 18.3% | Data is updating% |
| Physical Health Not Good | 13.3% | Data is updating% |
| Depression | 25.1% | Data is updating% |
| Smoking | 22.9% | Data is updating% |
| Binge Drinking | 18.0% | Data is updating% |
| Obesity | 40.9% | Data is updating% |
| Disability Percentage | 24.0% | Data is updating% |
Health Statistics Comparison: Golden city vs Windsor
- More residents in Golden city report poor mental health at 18.3% compared to 0.0% in Windsor.
- Depression is more prevalent in Golden city at 25.1% compared to 0.0% in Windsor.
- Smoking is more prevalent in Golden city at 22.9% compared to 0.0% in Windsor.
- Binge drinking is more common in Golden city at 18.0% compared to 0.0% in Windsor.
- Obesity rates are higher in Golden city at 40.9% compared to 0.0% in Windsor.
- Disability percentages are higher in Golden city at 24.0% compared to 0.0% in Windsor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Golden city | Windsor |
|---|---|---|
| No Schooling | 2.6% (17) | 0.0% (Data is updating) |
| High School Diploma | 30.6% (200) | 0.0% (Data is updating) |
| Less than High School | 17.6% (115) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.8% (84) | 0.0% (Data is updating) |
Education Levels Comparison: Golden city vs Windsor
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 0.0% in Windsor.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 0.0% in Windsor.
- More residents in Golden city have less than a high school education at 17.6% compared to 0.0% in Windsor.
- A higher percentage of residents in Golden city hold a bachelor's degree or higher at 12.8% compared to 0.0% in Windsor.
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.