Demographics details for Toledo, OH vs Golden city, MO
Population Overview
Compare main population characteristics in Toledo, OH vs Golden city, MO.
| Data | Toledo | Golden city |
|---|---|---|
| Population | 266,301 | 654 |
| Median Age | 35.4 years | 55.0 years |
| Median Income | $45,405 | $37,679 |
| Married Families | 27.0% | 37.0% |
| Poverty Level | 26% | 10% |
| Unemployment Rate | 6.7 | 3.5 |
Population Comparison: Toledo vs Golden city
- In Toledo, the population is higher at 266,301, compared to 654 in Golden city.
- The median age in Golden city is higher at 55.0 years, compared to 35.4 years in Toledo.
- Toledo has a higher median income of $45,405 compared to $37,679 in Golden city.
- In Golden city, the percentage of married families is higher at 37.0%, compared to 27.0% in Toledo.
- Toledo has a higher poverty level at 26% compared to 10% in Golden city.
- The unemployment rate in Toledo is higher at 6.7%, compared to 3.5% in Golden city.
Demographics
Demographics Toledo vs Golden city provide insight into the diversity of the communities to compare.
| Demographic | Toledo | Golden city |
|---|---|---|
| Black | 28 | Data is updating |
| White | 54 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 9 | 3 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Toledo vs Golden city
- A higher percentage of Black residents are in Toledo at 28% compared to 0% in Golden city.
- The percentage of White residents is higher in Golden city at 89% compared to 54% in Toledo.
- The Asian population is larger in Toledo at 1% compared to 0% in Golden city.
- The Hispanic community is larger in Toledo at 9% compared to 3% in Golden city.
- More residents identify as two or more races in Toledo at 8% compared to 6% in Golden city.
- In Golden city, the percentage of American Indian residents is higher at 2%, compared to 0% in Toledo.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Toledo | Golden city |
|---|---|---|
| Mental Health Not Good | 20.5% | 18.3% |
| Physical Health Not Good | 14.2% | 13.3% |
| Depression | 24.8% | 25.1% |
| Smoking | 24.5% | 22.9% |
| Binge Drinking | 14.8% | 18.0% |
| Obesity | 45.1% | 40.9% |
| Disability Percentage | 18.0% | 24.0% |
Health Statistics Comparison: Toledo vs Golden city
- More residents in Toledo report poor mental health at 20.5% compared to 18.3% in Golden city.
- Higher depression rates are seen in Golden city at 25.1% versus 24.8% in Toledo.
- Smoking is more prevalent in Toledo at 24.5% compared to 22.9% in Golden city.
- More residents engage in binge drinking in Golden city at 18.0% compared to 14.8% in Toledo.
- Obesity rates are higher in Toledo at 45.1% compared to 40.9% in Golden city.
- There is a higher percentage of disabled individuals in Golden city at 24.0% compared to 18.0% in Toledo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Toledo | Golden city |
|---|---|---|
| No Schooling | 1.1% (2,922) | 2.6% (17) |
| High School Diploma | 18.4% (49,127) | 30.6% (200) |
| Less than High School | 13.0% (34,501) | 17.6% (115) |
| Bachelor's Degree and Higher | 13.6% (36,267) | 12.8% (84) |
Education Levels Comparison: Toledo vs Golden city
- In Golden city, a larger percentage of residents lack formal schooling at 2.6% compared to 1.1% in Toledo.
- In Golden city, the rate of residents with high school diplomas is higher at 30.6% compared to 18.4% in Toledo.
- The percentage of residents with less than a high school education is higher in Golden city at 17.6%, compared to 13.0% in Toledo.
- A higher percentage of residents in Toledo hold a bachelor's degree or higher at 13.6% 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.