Demographics details for Wallsburg, UT vs Golden city, MO
Population Overview
Compare main population characteristics in Wallsburg, UT vs Golden city, MO.
Data | Wallsburg | Golden city |
---|---|---|
Population | 297 | 654 |
Median Age | 40.9 years | 55.0 years |
Median Income | $99,500 | $37,679 |
Married Families | 53.0% | 37.0% |
Poverty Level | Data is updating | 10% |
Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Wallsburg vs Golden city
- The population in Golden city is higher at 654, compared to 297 in Wallsburg.
- The median age in Golden city is higher at 55.0 years, compared to 40.9 years in Wallsburg.
- Wallsburg has a higher median income of $99,500 compared to $37,679 in Golden city.
- A higher percentage of married families is found in Wallsburg at 53.0% compared to 37.0% in Golden city.
- The poverty level is higher in Golden city at 10%, compared to 0% in Wallsburg.
- Golden city has a higher unemployment rate at 3.5% compared to 2.5% in Wallsburg.
Demographics
Demographics Wallsburg vs Golden city provide insight into the diversity of the communities to compare.
Demographic | Wallsburg | Golden city |
---|---|---|
Black | Data is updating | Data is updating |
White | 93 | 89 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | 3 |
Two or More Races | Data is updating | 6 |
American Indian | Data is updating | 2 |
Demographics Comparison: Wallsburg vs Golden city
- The percentage of Black residents is the same in both Wallsburg and Golden city at 0%.
- Wallsburg has a higher percentage of White residents at 93% compared to 89% in Golden city.
- Both Wallsburg and Golden city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Wallsburg at 7% compared to 3% in Golden city.
- The percentage of residents identifying as two or more races is higher in Golden city at 6%, compared to 0% in Wallsburg.
- In Golden city, the percentage of American Indian residents is higher at 2%, compared to 0% in Wallsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wallsburg | Golden city |
---|---|---|
Mental Health Not Good | 15.3% | 18.3% |
Physical Health Not Good | 9.7% | 13.3% |
Depression | 22.8% | 25.1% |
Smoking | 9.1% | 22.9% |
Binge Drinking | 13.2% | 18.0% |
Obesity | 28.0% | 40.9% |
Disability Percentage | 11.0% | 24.0% |
Health Statistics Comparison: Wallsburg vs Golden city
- In Golden city, a higher percentage report poor mental health at 18.3% compared to 15.3% in Wallsburg.
- Higher depression rates are seen in Golden city at 25.1% versus 22.8% in Wallsburg.
- Golden city has a higher smoking rate at 22.9% compared to 9.1% in Wallsburg.
- More residents engage in binge drinking in Golden city at 18.0% compared to 13.2% in Wallsburg.
- Golden city has higher obesity rates at 40.9% compared to 28.0% in Wallsburg.
- There is a higher percentage of disabled individuals in Golden city at 24.0% compared to 11.0% in Wallsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wallsburg | Golden city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.6% (17) |
High School Diploma | 27.6% (82) | 30.6% (200) |
Less than High School | 7.4% (22) | 17.6% (115) |
Bachelor's Degree and Higher | 9.4% (28) | 12.8% (84) |
Education Levels Comparison: Wallsburg vs Golden city
- In Golden city, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in Wallsburg.
- In Golden city, the rate of residents with high school diplomas is higher at 30.6% compared to 27.6% in Wallsburg.
- The percentage of residents with less than a high school education is higher in Golden city at 17.6%, compared to 7.4% in Wallsburg.
- In Golden city, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 9.4% in Wallsburg.
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.