Demographics details for Beaver dam, WI vs Golden city, MO
Population Overview
Compare main population characteristics in Beaver dam, WI vs Golden city, MO.
Data | Beaver dam | Golden city |
---|---|---|
Population | 16,582 | 654 |
Median Age | 40.4 years | 55.0 years |
Median Income | $65,802 | $37,679 |
Married Families | 35.0% | 37.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 3.1 | 3.5 |
Population Comparison: Beaver dam vs Golden city
- In Beaver dam, the population is higher at 16,582, compared to 654 in Golden city.
- The median age in Golden city is higher at 55.0 years, compared to 40.4 years in Beaver dam.
- Beaver dam has a higher median income of $65,802 compared to $37,679 in Golden city.
- In Golden city, the percentage of married families is higher at 37.0%, compared to 35.0% in Beaver dam.
- The poverty level is higher in Golden city at 10%, compared to 0% in Beaver dam.
- Golden city has a higher unemployment rate at 3.5% compared to 3.1% in Beaver dam.
Demographics
Demographics Beaver dam vs Golden city provide insight into the diversity of the communities to compare.
Demographic | Beaver dam | Golden city |
---|---|---|
Black | 3 | Data is updating |
White | 81 | 89 |
Asian | 2 | Data is updating |
Hispanic | 8 | 3 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | 2 |
Demographics Comparison: Beaver dam vs Golden city
- A higher percentage of Black residents are in Beaver dam at 3% compared to 0% in Golden city.
- The percentage of White residents is higher in Golden city at 89% compared to 81% in Beaver dam.
- The Asian population is larger in Beaver dam at 2% compared to 0% in Golden city.
- The Hispanic community is larger in Beaver dam at 8% compared to 3% in Golden city.
- Both Beaver dam and Golden city have the same percentage of residents identifying as two or more races at 6%.
- In Golden city, the percentage of American Indian residents is higher at 2%, compared to 0% in Beaver dam.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Beaver dam | Golden city |
---|---|---|
Mental Health Not Good | 15.7% | 18.3% |
Physical Health Not Good | 10.6% | 13.3% |
Depression | 23.6% | 25.1% |
Smoking | 17.6% | 22.9% |
Binge Drinking | 23.5% | 18.0% |
Obesity | 36.6% | 40.9% |
Disability Percentage | 11.0% | 24.0% |
Health Statistics Comparison: Beaver dam vs Golden city
- In Golden city, a higher percentage report poor mental health at 18.3% compared to 15.7% in Beaver dam.
- Higher depression rates are seen in Golden city at 25.1% versus 23.6% in Beaver dam.
- Golden city has a higher smoking rate at 22.9% compared to 17.6% in Beaver dam.
- Binge drinking is more common in Beaver dam at 23.5% compared to 18.0% in Golden city.
- Golden city has higher obesity rates at 40.9% compared to 36.6% in Beaver dam.
- There is a higher percentage of disabled individuals in Golden city at 24.0% compared to 11.0% in Beaver dam.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Beaver dam | Golden city |
---|---|---|
No Schooling | 0.3% (47) | 2.6% (17) |
High School Diploma | 23.8% (3,947) | 30.6% (200) |
Less than High School | 10.3% (1,706) | 17.6% (115) |
Bachelor's Degree and Higher | 18.2% (3,023) | 12.8% (84) |
Education Levels Comparison: Beaver dam vs Golden city
- In Golden city, a larger percentage of residents lack formal schooling at 2.6% compared to 0.3% in Beaver dam.
- In Golden city, the rate of residents with high school diplomas is higher at 30.6% compared to 23.8% in Beaver dam.
- The percentage of residents with less than a high school education is higher in Golden city at 17.6%, compared to 10.3% in Beaver dam.
- A higher percentage of residents in Beaver dam hold a bachelor's degree or higher at 18.2% 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.