Demographics details for Dardanelle, AR vs Columbus, IN
Population Overview
Compare main population characteristics in Dardanelle, AR vs Columbus, IN.
| Data | Dardanelle | Columbus |
|---|---|---|
| Population | 4,518 | 51,268 |
| Median Age | 37.9 years | 35.8 years |
| Median Income | $47,724 | $75,114 |
| Married Families | 41.0% | 41.0% |
| Poverty Level | 19% | 9% |
| Unemployment Rate | 5.7 | 4.0 |
Population Comparison: Dardanelle vs Columbus
- The population in Columbus is higher at 51,268, compared to 4,518 in Dardanelle.
- Residents in Dardanelle have a higher median age of 37.9 years compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114, compared to $47,724 in Dardanelle.
- The percentage of married families is the same in both Dardanelle and Columbus at 41.0%.
- Dardanelle has a higher poverty level at 19% compared to 9% in Columbus.
- The unemployment rate in Dardanelle is higher at 5.7%, compared to 4.0% in Columbus.
Demographics
Demographics Dardanelle vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Dardanelle | Columbus |
|---|---|---|
| Black | 8 | 2 |
| White | 50 | 71 |
| Asian | Data is updating | 13 |
| Hispanic | 40 | 9 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dardanelle vs Columbus
- A higher percentage of Black residents are in Dardanelle at 8% compared to 2% in Columbus.
- The percentage of White residents is higher in Columbus at 71% compared to 50% in Dardanelle.
- In Columbus, the Asian population stands at 13%, greater than 0% in Dardanelle.
- The Hispanic community is larger in Dardanelle at 40% compared to 9% in Columbus.
- The percentage of residents identifying as two or more races is higher in Columbus at 5%, compared to 2% in Dardanelle.
- The percentage of American Indian residents is the same in both Dardanelle and Columbus at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dardanelle | Columbus |
|---|---|---|
| Mental Health Not Good | 19.2% | 15.6% |
| Physical Health Not Good | 14.9% | 10.3% |
| Depression | 26.3% | 24.1% |
| Smoking | 22.1% | 16.3% |
| Binge Drinking | 14.0% | 16.3% |
| Obesity | 37.5% | 36.7% |
| Disability Percentage | 21.0% | 13.0% |
Health Statistics Comparison: Dardanelle vs Columbus
- More residents in Dardanelle report poor mental health at 19.2% compared to 15.6% in Columbus.
- Depression is more prevalent in Dardanelle at 26.3% compared to 24.1% in Columbus.
- Smoking is more prevalent in Dardanelle at 22.1% compared to 16.3% in Columbus.
- More residents engage in binge drinking in Columbus at 16.3% compared to 14.0% in Dardanelle.
- Obesity rates are higher in Dardanelle at 37.5% compared to 36.7% in Columbus.
- Disability percentages are higher in Dardanelle at 21.0% compared to 13.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dardanelle | Columbus |
|---|---|---|
| No Schooling | 2.1% (94) | 0.8% (398) |
| High School Diploma | 16.5% (745) | 14.3% (7,340) |
| Less than High School | 36.0% (1,626) | 9.1% (4,677) |
| Bachelor's Degree and Higher | 7.7% (346) | 28.1% (14,382) |
Education Levels Comparison: Dardanelle vs Columbus
- A higher percentage of residents in Dardanelle have no formal schooling at 2.1% compared to 0.8% in Columbus.
- A higher percentage of residents in Dardanelle hold a high school diploma at 16.5% compared to 14.3% in Columbus.
- More residents in Dardanelle have less than a high school education at 36.0% compared to 9.1% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 28.1% 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.