Demographics details for Ashton, WV vs Panama, OK
Population Overview
Compare main population characteristics in Ashton, WV vs Panama, OK.
| Data | Ashton | Panama |
|---|---|---|
| Population | 200 | 1,284 |
| Median Age | 38.0 years | 32.4 years |
| Median Income | $50,000 | $44,397 |
| Married Families | 50.0% | 34.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Ashton vs Panama
- The population in Panama is higher at 1,284, compared to 200 in Ashton.
- Residents in Ashton have a higher median age of 38.0 years compared to 32.4 years in Panama.
- Ashton has a higher median income of $50,000 compared to $44,397 in Panama.
- A higher percentage of married families is found in Ashton at 50.0% compared to 34.0% in Panama.
- The poverty level is higher in Panama at 12%, compared to 10% in Ashton.
- The unemployment rate in Ashton is higher at 5.0%, compared to 3.5% in Panama.
Demographics
Demographics Ashton vs Panama provide insight into the diversity of the communities to compare.
| Demographic | Ashton | Panama |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 95 | 68 |
| Asian | 2 | 2 |
| Hispanic | 1 | 3 |
| Two or More Races | 2 | 19 |
| American Indian | Data is updating | 8 |
Demographics Comparison: Ashton vs Panama
- The percentage of Black residents is the same in both Ashton and Panama at 0%.
- Ashton has a higher percentage of White residents at 95% compared to 68% in Panama.
- Both Ashton and Panama have the same percentage of Asian residents at 2%.
- Panama has a higher percentage of Hispanic residents at 3%, compared to 1% in Ashton.
- The percentage of residents identifying as two or more races is higher in Panama at 19%, compared to 2% in Ashton.
- In Panama, the percentage of American Indian residents is higher at 8%, compared to 0% in Ashton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ashton | Panama |
|---|---|---|
| Mental Health Not Good | Data is updating% | 21.1% |
| Physical Health Not Good | Data is updating% | 15.3% |
| Depression | Data is updating% | 27.3% |
| Smoking | Data is updating% | 25.1% |
| Binge Drinking | Data is updating% | 14.1% |
| Obesity | Data is updating% | 42.5% |
| Disability Percentage | Data is updating% | 22.0% |
Health Statistics Comparison: Ashton vs Panama
- In Panama, a higher percentage report poor mental health at 21.1% compared to 0.0% in Ashton.
- Higher depression rates are seen in Panama at 27.3% versus 0.0% in Ashton.
- Panama has a higher smoking rate at 25.1% compared to 0.0% in Ashton.
- More residents engage in binge drinking in Panama at 14.1% compared to 0.0% in Ashton.
- Panama has higher obesity rates at 42.5% compared to 0.0% in Ashton.
- There is a higher percentage of disabled individuals in Panama at 22.0% compared to 0.0% in Ashton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ashton | Panama |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 29.5% (379) |
| Less than High School | 0.0% (Data is updating) | 13.6% (175) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 4.4% (56) |
Education Levels Comparison: Ashton vs Panama
- The percentage of residents with no formal schooling is the same in both Ashton and Panama at 0.0%.
- In Panama, the rate of residents with high school diplomas is higher at 29.5% compared to 0.0% in Ashton.
- The percentage of residents with less than a high school education is higher in Panama at 13.6%, compared to 0.0% in Ashton.
- In Panama, a larger share of residents have a bachelor's degree or higher at 4.4% compared to 0.0% in Ashton.
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.