Demographics details for Dardanelle, AR vs Mount orab, OH
Population Overview
Compare main population characteristics in Dardanelle, AR vs Mount orab, OH.
| Data | Dardanelle | Mount orab |
|---|---|---|
| Population | 4,518 | 4,337 |
| Median Age | 37.9 years | 30.4 years |
| Median Income | $47,724 | $62,833 |
| Married Families | 41.0% | 37.0% |
| Poverty Level | 19% | 10% |
| Unemployment Rate | 5.7 | 4.5 |
Population Comparison: Dardanelle vs Mount orab
- In Dardanelle, the population is higher at 4,518, compared to 4,337 in Mount orab.
- Residents in Dardanelle have a higher median age of 37.9 years compared to 30.4 years in Mount orab.
- Mount orab has a higher median income of $62,833, compared to $47,724 in Dardanelle.
- A higher percentage of married families is found in Dardanelle at 41.0% compared to 37.0% in Mount orab.
- Dardanelle has a higher poverty level at 19% compared to 10% in Mount orab.
- The unemployment rate in Dardanelle is higher at 5.7%, compared to 4.5% in Mount orab.
Demographics
Demographics Dardanelle vs Mount orab provide insight into the diversity of the communities to compare.
| Demographic | Dardanelle | Mount orab |
|---|---|---|
| Black | 8 | 1 |
| White | 50 | 98 |
| Asian | Data is updating | Data is updating |
| Hispanic | 40 | Data is updating |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dardanelle vs Mount orab
- A higher percentage of Black residents are in Dardanelle at 8% compared to 1% in Mount orab.
- The percentage of White residents is higher in Mount orab at 98% compared to 50% in Dardanelle.
- Both Dardanelle and Mount orab have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Dardanelle at 40% compared to 0% in Mount orab.
- More residents identify as two or more races in Dardanelle at 2% compared to 1% in Mount orab.
- The percentage of American Indian residents is the same in both Dardanelle and Mount orab at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dardanelle | Mount orab |
|---|---|---|
| Mental Health Not Good | 19.2% | 18.3% |
| Physical Health Not Good | 14.9% | 12.8% |
| Depression | 26.3% | 25.7% |
| Smoking | 22.1% | 22.9% |
| Binge Drinking | 14.0% | 18.6% |
| Obesity | 37.5% | 42.0% |
| Disability Percentage | 21.0% | 16.0% |
Health Statistics Comparison: Dardanelle vs Mount orab
- More residents in Dardanelle report poor mental health at 19.2% compared to 18.3% in Mount orab.
- Depression is more prevalent in Dardanelle at 26.3% compared to 25.7% in Mount orab.
- Mount orab has a higher smoking rate at 22.9% compared to 22.1% in Dardanelle.
- More residents engage in binge drinking in Mount orab at 18.6% compared to 14.0% in Dardanelle.
- Mount orab has higher obesity rates at 42.0% compared to 37.5% in Dardanelle.
- Disability percentages are higher in Dardanelle at 21.0% compared to 16.0% in Mount orab.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dardanelle | Mount orab |
|---|---|---|
| No Schooling | 2.1% (94) | 0.8% (36) |
| High School Diploma | 16.5% (745) | 23.9% (1,037) |
| Less than High School | 36.0% (1,626) | 25.7% (1,116) |
| Bachelor's Degree and Higher | 7.7% (346) | 11.0% (479) |
Education Levels Comparison: Dardanelle vs Mount orab
- A higher percentage of residents in Dardanelle have no formal schooling at 2.1% compared to 0.8% in Mount orab.
- In Mount orab, the rate of residents with high school diplomas is higher at 23.9% compared to 16.5% in Dardanelle.
- More residents in Dardanelle have less than a high school education at 36.0% compared to 25.7% in Mount orab.
- In Mount orab, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 7.7% in Dardanelle.
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.