Demographics details for Saucier, MS vs Dardanelle, AR
Population Overview
Compare main population characteristics in Saucier, MS vs Dardanelle, AR.
| Data | Saucier | Dardanelle |
|---|---|---|
| Population | 1,199 | 4,518 |
| Median Age | 41.3 years | 37.9 years |
| Median Income | $67,742 | $47,724 |
| Married Families | 32.0% | 41.0% |
| Poverty Level | 11% | 19% |
| Unemployment Rate | 4.2 | 5.7 |
Population Comparison: Saucier vs Dardanelle
- The population in Dardanelle is higher at 4,518, compared to 1,199 in Saucier.
- Residents in Saucier have a higher median age of 41.3 years compared to 37.9 years in Dardanelle.
- Saucier has a higher median income of $67,742 compared to $47,724 in Dardanelle.
- In Dardanelle, the percentage of married families is higher at 41.0%, compared to 32.0% in Saucier.
- The poverty level is higher in Dardanelle at 19%, compared to 11% in Saucier.
- Dardanelle has a higher unemployment rate at 5.7% compared to 4.2% in Saucier.
Demographics
Demographics Saucier vs Dardanelle provide insight into the diversity of the communities to compare.
| Demographic | Saucier | Dardanelle |
|---|---|---|
| Black | Data is updating | 8 |
| White | 100 | 50 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 40 |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Saucier vs Dardanelle
- In Dardanelle, the percentage of Black residents is higher at 8% compared to 0% in Saucier.
- Saucier has a higher percentage of White residents at 100% compared to 50% in Dardanelle.
- Both Saucier and Dardanelle have the same percentage of Asian residents at 0%.
- Dardanelle has a higher percentage of Hispanic residents at 40%, compared to 0% in Saucier.
- The percentage of residents identifying as two or more races is higher in Dardanelle at 2%, compared to 0% in Saucier.
- The percentage of American Indian residents is the same in both Saucier and Dardanelle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Saucier | Dardanelle |
|---|---|---|
| Mental Health Not Good | 18.0% | 19.2% |
| Physical Health Not Good | 12.6% | 14.9% |
| Depression | 25.6% | 26.3% |
| Smoking | 22.9% | 22.1% |
| Binge Drinking | 16.3% | 14.0% |
| Obesity | 34.0% | 37.5% |
| Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: Saucier vs Dardanelle
- In Dardanelle, a higher percentage report poor mental health at 19.2% compared to 18.0% in Saucier.
- Higher depression rates are seen in Dardanelle at 26.3% versus 25.6% in Saucier.
- Smoking is more prevalent in Saucier at 22.9% compared to 22.1% in Dardanelle.
- Binge drinking is more common in Saucier at 16.3% compared to 14.0% in Dardanelle.
- Dardanelle has higher obesity rates at 37.5% compared to 34.0% in Saucier.
- There is a higher percentage of disabled individuals in Dardanelle at 21.0% compared to 15.0% in Saucier.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Saucier | Dardanelle |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.1% (94) |
| High School Diploma | 29.9% (359) | 16.5% (745) |
| Less than High School | 6.3% (76) | 36.0% (1,626) |
| Bachelor's Degree and Higher | 7.0% (84) | 7.7% (346) |
Education Levels Comparison: Saucier vs Dardanelle
- In Dardanelle, a larger percentage of residents lack formal schooling at 2.1% compared to 0.0% in Saucier.
- A higher percentage of residents in Saucier hold a high school diploma at 29.9% compared to 16.5% in Dardanelle.
- The percentage of residents with less than a high school education is higher in Dardanelle at 36.0%, compared to 6.3% in Saucier.
- In Dardanelle, a larger share of residents have a bachelor's degree or higher at 7.7% compared to 7.0% in Saucier.
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.