Demographics details for Golden city, MO vs Newton, GA
Population Overview
Compare main population characteristics in Golden city, MO vs Newton, GA.
| Data | Golden city | Newton |
|---|---|---|
| Population | 654 | 579 |
| Median Age | 55.0 years | 41.0 years |
| Median Income | $37,679 | $31,406 |
| Married Families | 37.0% | 22.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Golden city vs Newton
- In Golden city, the population is higher at 654, compared to 579 in Newton.
- Residents in Golden city have a higher median age of 55.0 years compared to 41.0 years in Newton.
- Golden city has a higher median income of $37,679 compared to $31,406 in Newton.
- A higher percentage of married families is found in Golden city at 37.0% compared to 22.0% in Newton.
- The poverty level is higher in Newton at 18%, compared to 10% in Golden city.
- The unemployment rate in Golden city is higher at 3.5%, compared to 3.2% in Newton.
Demographics
Demographics Golden city vs Newton provide insight into the diversity of the communities to compare.
| Demographic | Golden city | Newton |
|---|---|---|
| Black | Data is updating | 34 |
| White | 89 | 63 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 1 |
| Two or More Races | 6 | 1 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Golden city vs Newton
- In Newton, the percentage of Black residents is higher at 34% compared to 0% in Golden city.
- Golden city has a higher percentage of White residents at 89% compared to 63% in Newton.
- In Newton, the Asian population stands at 1%, greater than 0% in Golden city.
- The Hispanic community is larger in Golden city at 3% compared to 1% in Newton.
- More residents identify as two or more races in Golden city at 6% compared to 1% in Newton.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 0% in Newton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden city | Newton |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.2% |
| Physical Health Not Good | 13.3% | 15.2% |
| Depression | 25.1% | 21.6% |
| Smoking | 22.9% | 23.1% |
| Binge Drinking | 18.0% | 13.4% |
| Obesity | 40.9% | 42.7% |
| Disability Percentage | 24.0% | 18.0% |
Health Statistics Comparison: Golden city vs Newton
- In Newton, a higher percentage report poor mental health at 19.2% compared to 18.3% in Golden city.
- Depression is more prevalent in Golden city at 25.1% compared to 21.6% in Newton.
- Newton has a higher smoking rate at 23.1% compared to 22.9% in Golden city.
- Binge drinking is more common in Golden city at 18.0% compared to 13.4% in Newton.
- Newton has higher obesity rates at 42.7% compared to 40.9% in Golden city.
- Disability percentages are higher in Golden city at 24.0% compared to 18.0% in Newton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Golden city | Newton |
|---|---|---|
| No Schooling | 2.6% (17) | 1.2% (7) |
| High School Diploma | 30.6% (200) | 16.6% (96) |
| Less than High School | 17.6% (115) | 19.3% (112) |
| Bachelor's Degree and Higher | 12.8% (84) | 9.5% (55) |
Education Levels Comparison: Golden city vs Newton
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 1.2% in Newton.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 16.6% in Newton.
- The percentage of residents with less than a high school education is higher in Newton at 19.3%, compared to 17.6% in Golden city.
- A higher percentage of residents in Golden city hold a bachelor's degree or higher at 12.8% compared to 9.5% in Newton.
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.