Demographics details for Golden city, MO vs Waterford, CT
Population Overview
Compare main population characteristics in Golden city, MO vs Waterford, CT.
| Data | Golden city | Waterford |
|---|---|---|
| Population | 654 | 3,276 |
| Median Age | 55.0 years | 45.2 years |
| Median Income | $37,679 | $74,701 |
| Married Families | 37.0% | 34.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Golden city vs Waterford
- The population in Waterford is higher at 3,276, compared to 654 in Golden city.
- Residents in Golden city have a higher median age of 55.0 years compared to 45.2 years in Waterford.
- Waterford has a higher median income of $74,701, compared to $37,679 in Golden city.
- A higher percentage of married families is found in Golden city at 37.0% compared to 34.0% in Waterford.
- Golden city has a higher poverty level at 10% compared to 5% in Waterford.
- Waterford has a higher unemployment rate at 3.7% compared to 3.5% in Golden city.
Demographics
Demographics Golden city vs Waterford provide insight into the diversity of the communities to compare.
| Demographic | Golden city | Waterford |
|---|---|---|
| Black | Data is updating | 4 |
| White | 89 | 80 |
| Asian | Data is updating | 5 |
| Hispanic | 3 | 5 |
| Two or More Races | 6 | 6 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Golden city vs Waterford
- In Waterford, the percentage of Black residents is higher at 4% compared to 0% in Golden city.
- Golden city has a higher percentage of White residents at 89% compared to 80% in Waterford.
- In Waterford, the Asian population stands at 5%, greater than 0% in Golden city.
- Waterford has a higher percentage of Hispanic residents at 5%, compared to 3% in Golden city.
- Both Golden city and Waterford have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 0% in Waterford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden city | Waterford |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.7% |
| Physical Health Not Good | 13.3% | 10.4% |
| Depression | 25.1% | 24.0% |
| Smoking | 22.9% | 17.5% |
| Binge Drinking | 18.0% | 17.2% |
| Obesity | 40.9% | 32.3% |
| Disability Percentage | 24.0% | 17.0% |
Health Statistics Comparison: Golden city vs Waterford
- More residents in Golden city report poor mental health at 18.3% compared to 16.7% in Waterford.
- Depression is more prevalent in Golden city at 25.1% compared to 24.0% in Waterford.
- Smoking is more prevalent in Golden city at 22.9% compared to 17.5% in Waterford.
- Binge drinking is more common in Golden city at 18.0% compared to 17.2% in Waterford.
- Obesity rates are higher in Golden city at 40.9% compared to 32.3% in Waterford.
- Disability percentages are higher in Golden city at 24.0% compared to 17.0% in Waterford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Golden city | Waterford |
|---|---|---|
| No Schooling | 2.6% (17) | 0.5% (17) |
| High School Diploma | 30.6% (200) | 22.6% (739) |
| Less than High School | 17.6% (115) | 5.9% (193) |
| Bachelor's Degree and Higher | 12.8% (84) | 17.8% (582) |
Education Levels Comparison: Golden city vs Waterford
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 0.5% in Waterford.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 22.6% in Waterford.
- More residents in Golden city have less than a high school education at 17.6% compared to 5.9% in Waterford.
- In Waterford, a larger share of residents have a bachelor's degree or higher at 17.8% compared to 12.8% in Golden city.
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.