Demographics details for Panama, IA vs Siloam springs, AR
Population Overview
Compare main population characteristics in Panama, IA vs Siloam springs, AR.
Data | Panama | Siloam springs |
---|---|---|
Population | 231 | 18,654 |
Median Age | 38.2 years | 30.1 years |
Median Income | $69,250 | $59,911 |
Married Families | 52.0% | 38.0% |
Poverty Level | 5% | 13% |
Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Panama vs Siloam springs
- The population in Siloam springs is higher at 18,654, compared to 231 in Panama.
- Residents in Panama have a higher median age of 38.2 years compared to 30.1 years in Siloam springs.
- Panama has a higher median income of $69,250 compared to $59,911 in Siloam springs.
- A higher percentage of married families is found in Panama at 52.0% compared to 38.0% in Siloam springs.
- The poverty level is higher in Siloam springs at 13%, compared to 5% in Panama.
- Siloam springs has a higher unemployment rate at 3.5% compared to 2.5% in Panama.
Demographics
Demographics Panama vs Siloam springs provide insight into the diversity of the communities to compare.
Demographic | Panama | Siloam springs |
---|---|---|
Black | Data is updating | 1 |
White | 98 | 50 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 23 |
Two or More Races | 1 | 20 |
American Indian | 1 | 3 |
Demographics Comparison: Panama vs Siloam springs
- In Siloam springs, the percentage of Black residents is higher at 1% compared to 0% in Panama.
- Panama has a higher percentage of White residents at 98% compared to 50% in Siloam springs.
- In Siloam springs, the Asian population stands at 3%, greater than 0% in Panama.
- Siloam springs has a higher percentage of Hispanic residents at 23%, compared to 0% in Panama.
- The percentage of residents identifying as two or more races is higher in Siloam springs at 20%, compared to 1% in Panama.
- In Siloam springs, the percentage of American Indian residents is higher at 3%, compared to 1% in Panama.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Panama | Siloam springs |
---|---|---|
Mental Health Not Good | 15.8% | 20.0% |
Physical Health Not Good | 9.9% | 15.0% |
Depression | 18.7% | 26.0% |
Smoking | 18.4% | 21.6% |
Binge Drinking | 22.5% | 14.9% |
Obesity | 37.2% | 39.2% |
Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Panama vs Siloam springs
- In Siloam springs, a higher percentage report poor mental health at 20.0% compared to 15.8% in Panama.
- Higher depression rates are seen in Siloam springs at 26.0% versus 18.7% in Panama.
- Siloam springs has a higher smoking rate at 21.6% compared to 18.4% in Panama.
- Binge drinking is more common in Panama at 22.5% compared to 14.9% in Siloam springs.
- Siloam springs has higher obesity rates at 39.2% compared to 37.2% in Panama.
- There is a higher percentage of disabled individuals in Siloam springs at 13.0% 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 | Panama | Siloam springs |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.7% (681) |
High School Diploma | 21.6% (50) | 13.5% (2,510) |
Less than High School | 5.2% (12) | 17.4% (3,249) |
Bachelor's Degree and Higher | 9.5% (22) | 14.4% (2,680) |
Education Levels Comparison: Panama vs Siloam springs
- In Siloam springs, a larger percentage of residents lack formal schooling at 3.7% compared to 0.0% in Panama.
- A higher percentage of residents in Panama hold a high school diploma at 21.6% compared to 13.5% in Siloam springs.
- The percentage of residents with less than a high school education is higher in Siloam springs at 17.4%, compared to 5.2% in Panama.
- In Siloam springs, a larger share of residents have a bachelor's degree or higher at 14.4% 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.