Demographics details for Golden city, MO vs Panama, IA
Population Overview
Compare main population characteristics in Golden city, MO vs Panama, IA.
| Data | Golden city | Panama |
|---|---|---|
| Population | 654 | 231 |
| Median Age | 55.0 years | 38.2 years |
| Median Income | $37,679 | $69,250 |
| Married Families | 37.0% | 52.0% |
| Poverty Level | 10% | 5% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Golden city vs Panama
- In Golden city, the population is higher at 654, compared to 231 in Panama.
- Residents in Golden city have a higher median age of 55.0 years compared to 38.2 years in Panama.
- Panama has a higher median income of $69,250, compared to $37,679 in Golden city.
- In Panama, the percentage of married families is higher at 52.0%, compared to 37.0% in Golden city.
- Golden city has a higher poverty level at 10% compared to 5% in Panama.
- The unemployment rate in Golden city is higher at 3.5%, compared to 2.5% in Panama.
Demographics
Demographics Golden city vs Panama provide insight into the diversity of the communities to compare.
| Demographic | Golden city | Panama |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 89 | 98 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 6 | 1 |
| American Indian | 2 | 1 |
Demographics Comparison: Golden city vs Panama
- The percentage of Black residents is the same in both Golden city and Panama at 0%.
- The percentage of White residents is higher in Panama at 98% compared to 89% in Golden city.
- Both Golden city and Panama have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Golden city at 3% compared to 0% in Panama.
- More residents identify as two or more races in Golden city at 6% compared to 1% in Panama.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 1% in Panama.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden city | Panama |
|---|---|---|
| Mental Health Not Good | 18.3% | 15.8% |
| Physical Health Not Good | 13.3% | 9.9% |
| Depression | 25.1% | 18.7% |
| Smoking | 22.9% | 18.4% |
| Binge Drinking | 18.0% | 22.5% |
| Obesity | 40.9% | 37.2% |
| Disability Percentage | 24.0% | 7.0% |
Health Statistics Comparison: Golden city vs Panama
- More residents in Golden city report poor mental health at 18.3% compared to 15.8% in Panama.
- Depression is more prevalent in Golden city at 25.1% compared to 18.7% in Panama.
- Smoking is more prevalent in Golden city at 22.9% compared to 18.4% in Panama.
- More residents engage in binge drinking in Panama at 22.5% compared to 18.0% in Golden city.
- Obesity rates are higher in Golden city at 40.9% compared to 37.2% in Panama.
- Disability percentages are higher in Golden city at 24.0% compared to 7.0% in Panama.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Golden city | Panama |
|---|---|---|
| No Schooling | 2.6% (17) | 0.0% (Data is updating) |
| High School Diploma | 30.6% (200) | 21.6% (50) |
| Less than High School | 17.6% (115) | 5.2% (12) |
| Bachelor's Degree and Higher | 12.8% (84) | 9.5% (22) |
Education Levels Comparison: Golden city vs Panama
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 0.0% in Panama.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 21.6% in Panama.
- More residents in Golden city have less than a high school education at 17.6% compared to 5.2% in Panama.
- A higher percentage of residents in Golden city hold a bachelor's degree or higher at 12.8% compared to 9.5% in Panama.
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.