Demographics details for Panama, OK vs Siloam springs, AR
Population Overview
Compare main population characteristics in Panama, OK vs Siloam springs, AR.
| Data | Panama | Siloam springs |
|---|---|---|
| Population | 1,284 | 18,654 |
| Median Age | 32.4 years | 30.1 years |
| Median Income | $44,397 | $59,911 |
| Married Families | 34.0% | 38.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Panama vs Siloam springs
- The population in Siloam springs is higher at 18,654, compared to 1,284 in Panama.
- Residents in Panama have a higher median age of 32.4 years compared to 30.1 years in Siloam springs.
- Siloam springs has a higher median income of $59,911, compared to $44,397 in Panama.
- In Siloam springs, the percentage of married families is higher at 38.0%, compared to 34.0% in Panama.
- The poverty level is higher in Siloam springs at 13%, compared to 12% in Panama.
- The unemployment rate is the same in both Panama and Siloam springs at 3.5%.
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 | 68 | 50 |
| Asian | 2 | 3 |
| Hispanic | 3 | 23 |
| Two or More Races | 19 | 20 |
| American Indian | 8 | 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 68% compared to 50% in Siloam springs.
- In Siloam springs, the Asian population stands at 3%, greater than 2% in Panama.
- Siloam springs has a higher percentage of Hispanic residents at 23%, compared to 3% in Panama.
- The percentage of residents identifying as two or more races is higher in Siloam springs at 20%, compared to 19% in Panama.
- A greater percentage of American Indian residents live in Panama at 8% compared to 3% in Siloam springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Panama | Siloam springs |
|---|---|---|
| Mental Health Not Good | 21.1% | 20.0% |
| Physical Health Not Good | 15.3% | 15.0% |
| Depression | 27.3% | 26.0% |
| Smoking | 25.1% | 21.6% |
| Binge Drinking | 14.1% | 14.9% |
| Obesity | 42.5% | 39.2% |
| Disability Percentage | 22.0% | 13.0% |
Health Statistics Comparison: Panama vs Siloam springs
- More residents in Panama report poor mental health at 21.1% compared to 20.0% in Siloam springs.
- Depression is more prevalent in Panama at 27.3% compared to 26.0% in Siloam springs.
- Smoking is more prevalent in Panama at 25.1% compared to 21.6% in Siloam springs.
- More residents engage in binge drinking in Siloam springs at 14.9% compared to 14.1% in Panama.
- Obesity rates are higher in Panama at 42.5% compared to 39.2% in Siloam springs.
- Disability percentages are higher in Panama at 22.0% compared to 13.0% in Siloam springs.
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 | 29.5% (379) | 13.5% (2,510) |
| Less than High School | 13.6% (175) | 17.4% (3,249) |
| Bachelor's Degree and Higher | 4.4% (56) | 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 29.5% 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 13.6% in Panama.
- In Siloam springs, a larger share of residents have a bachelor's degree or higher at 14.4% compared to 4.4% 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.