Demographics details for Tucson, AZ vs Golden city, MO
Population Overview
Compare main population characteristics in Tucson, AZ vs Golden city, MO.
| Data | Tucson | Golden city |
|---|---|---|
| Population | 546,574 | 654 |
| Median Age | 33.9 years | 55.0 years |
| Median Income | $52,049 | $37,679 |
| Married Families | 30.0% | 37.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Tucson vs Golden city
- In Tucson, the population is higher at 546,574, compared to 654 in Golden city.
- The median age in Golden city is higher at 55.0 years, compared to 33.9 years in Tucson.
- Tucson has a higher median income of $52,049 compared to $37,679 in Golden city.
- In Golden city, the percentage of married families is higher at 37.0%, compared to 30.0% in Tucson.
- Tucson has a higher poverty level at 13% compared to 10% in Golden city.
- The unemployment rate in Tucson is higher at 4.1%, compared to 3.5% in Golden city.
Demographics
Demographics Tucson vs Golden city provide insight into the diversity of the communities to compare.
| Demographic | Tucson | Golden city |
|---|---|---|
| Black | 5 | Data is updating |
| White | 29 | 89 |
| Asian | 3 | Data is updating |
| Hispanic | 44 | 3 |
| Two or More Races | 16 | 6 |
| American Indian | 3 | 2 |
Demographics Comparison: Tucson vs Golden city
- A higher percentage of Black residents are in Tucson at 5% compared to 0% in Golden city.
- The percentage of White residents is higher in Golden city at 89% compared to 29% in Tucson.
- The Asian population is larger in Tucson at 3% compared to 0% in Golden city.
- The Hispanic community is larger in Tucson at 44% compared to 3% in Golden city.
- More residents identify as two or more races in Tucson at 16% compared to 6% in Golden city.
- A greater percentage of American Indian residents live in Tucson at 3% compared to 2% in Golden city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tucson | Golden city |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.3% |
| Physical Health Not Good | 13.1% | 13.3% |
| Depression | 23.6% | 25.1% |
| Smoking | 17.8% | 22.9% |
| Binge Drinking | 16.5% | 18.0% |
| Obesity | 34.9% | 40.9% |
| Disability Percentage | 14.0% | 24.0% |
Health Statistics Comparison: Tucson vs Golden city
- More residents in Tucson report poor mental health at 18.6% compared to 18.3% in Golden city.
- Higher depression rates are seen in Golden city at 25.1% versus 23.6% in Tucson.
- Golden city has a higher smoking rate at 22.9% compared to 17.8% in Tucson.
- More residents engage in binge drinking in Golden city at 18.0% compared to 16.5% in Tucson.
- Golden city has higher obesity rates at 40.9% compared to 34.9% in Tucson.
- There is a higher percentage of disabled individuals in Golden city at 24.0% compared to 14.0% in Tucson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tucson | Golden city |
|---|---|---|
| No Schooling | 1.1% (5,757) | 2.6% (17) |
| High School Diploma | 11.4% (62,581) | 30.6% (200) |
| Less than High School | 16.0% (87,637) | 17.6% (115) |
| Bachelor's Degree and Higher | 18.6% (101,769) | 12.8% (84) |
Education Levels Comparison: Tucson vs Golden city
- In Golden city, a larger percentage of residents lack formal schooling at 2.6% compared to 1.1% in Tucson.
- In Golden city, the rate of residents with high school diplomas is higher at 30.6% compared to 11.4% in Tucson.
- The percentage of residents with less than a high school education is higher in Golden city at 17.6%, compared to 16.0% in Tucson.
- A higher percentage of residents in Tucson hold a bachelor's degree or higher at 18.6% 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.