Demographics details for Golden city, MO vs Baton rouge, LA
Population Overview
Compare main population characteristics in Golden city, MO vs Baton rouge, LA.
Data | Golden city | Baton rouge |
---|---|---|
Population | 654 | 221,453 |
Median Age | 55.0 years | 31.9 years |
Median Income | $37,679 | $50,155 |
Married Families | 37.0% | 25.0% |
Poverty Level | 10% | 20% |
Unemployment Rate | 3.5 | 4.7 |
Population Comparison: Golden city vs Baton rouge
- The population in Baton rouge is higher at 221,453, compared to 654 in Golden city.
- Residents in Golden city have a higher median age of 55.0 years compared to 31.9 years in Baton rouge.
- Baton rouge has a higher median income of $50,155, compared to $37,679 in Golden city.
- A higher percentage of married families is found in Golden city at 37.0% compared to 25.0% in Baton rouge.
- The poverty level is higher in Baton rouge at 20%, compared to 10% in Golden city.
- Baton rouge has a higher unemployment rate at 4.7% compared to 3.5% in Golden city.
Demographics
Demographics Golden city vs Baton rouge provide insight into the diversity of the communities to compare.
Demographic | Golden city | Baton rouge |
---|---|---|
Black | Data is updating | 53 |
White | 89 | 35 |
Asian | Data is updating | 4 |
Hispanic | 3 | 4 |
Two or More Races | 6 | 4 |
American Indian | 2 | Data is updating |
Demographics Comparison: Golden city vs Baton rouge
- In Baton rouge, the percentage of Black residents is higher at 53% compared to 0% in Golden city.
- Golden city has a higher percentage of White residents at 89% compared to 35% in Baton rouge.
- In Baton rouge, the Asian population stands at 4%, greater than 0% in Golden city.
- Baton rouge has a higher percentage of Hispanic residents at 4%, compared to 3% in Golden city.
- More residents identify as two or more races in Golden city at 6% compared to 4% in Baton rouge.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 0% in Baton rouge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Golden city | Baton rouge |
---|---|---|
Mental Health Not Good | 18.3% | 19.5% |
Physical Health Not Good | 13.3% | 13.5% |
Depression | 25.1% | 25.3% |
Smoking | 22.9% | 21.8% |
Binge Drinking | 18.0% | 15.9% |
Obesity | 40.9% | 39.3% |
Disability Percentage | 24.0% | 17.0% |
Health Statistics Comparison: Golden city vs Baton rouge
- In Baton rouge, a higher percentage report poor mental health at 19.5% compared to 18.3% in Golden city.
- Higher depression rates are seen in Baton rouge at 25.3% versus 25.1% in Golden city.
- Smoking is more prevalent in Golden city at 22.9% compared to 21.8% in Baton rouge.
- Binge drinking is more common in Golden city at 18.0% compared to 15.9% in Baton rouge.
- Obesity rates are higher in Golden city at 40.9% compared to 39.3% in Baton rouge.
- Disability percentages are higher in Golden city at 24.0% compared to 17.0% in Baton rouge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Golden city | Baton rouge |
---|---|---|
No Schooling | 2.6% (17) | 1.0% (2,299) |
High School Diploma | 30.6% (200) | 13.9% (30,876) |
Less than High School | 17.6% (115) | 9.0% (19,945) |
Bachelor's Degree and Higher | 12.8% (84) | 22.4% (49,640) |
Education Levels Comparison: Golden city vs Baton rouge
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 1.0% in Baton rouge.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 13.9% in Baton rouge.
- More residents in Golden city have less than a high school education at 17.6% compared to 9.0% in Baton rouge.
- In Baton rouge, a larger share of residents have a bachelor's degree or higher at 22.4% 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.