Demographics details for Wynne, AR vs New riegel, OH
Population Overview
Compare main population characteristics in Wynne, AR vs New riegel, OH.
Data | Wynne | New riegel |
---|---|---|
Population | 8,208 | 282 |
Median Age | 39.3 years | 32.3 years |
Median Income | $39,280 | $57,500 |
Married Families | 31.0% | 46.0% |
Poverty Level | 20% | 6% |
Unemployment Rate | 4.5 | 2.5 |
Population Comparison: Wynne vs New riegel
- In Wynne, the population is higher at 8,208, compared to 282 in New riegel.
- Residents in Wynne have a higher median age of 39.3 years compared to 32.3 years in New riegel.
- New riegel has a higher median income of $57,500, compared to $39,280 in Wynne.
- In New riegel, the percentage of married families is higher at 46.0%, compared to 31.0% in Wynne.
- Wynne has a higher poverty level at 20% compared to 6% in New riegel.
- The unemployment rate in Wynne is higher at 4.5%, compared to 2.5% in New riegel.
Demographics
Demographics Wynne vs New riegel provide insight into the diversity of the communities to compare.
Demographic | Wynne | New riegel |
---|---|---|
Black | 33 | Data is updating |
White | 55 | 69 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 21 |
Two or More Races | 7 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Wynne vs New riegel
- A higher percentage of Black residents are in Wynne at 33% compared to 0% in New riegel.
- The percentage of White residents is higher in New riegel at 69% compared to 55% in Wynne.
- Both Wynne and New riegel have the same percentage of Asian residents at 0%.
- New riegel has a higher percentage of Hispanic residents at 21%, compared to 4% in Wynne.
- The percentage of residents identifying as two or more races is higher in New riegel at 10%, compared to 7% in Wynne.
- A greater percentage of American Indian residents live in Wynne at 1% compared to 0% in New riegel.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wynne | New riegel |
---|---|---|
Mental Health Not Good | 20.1% | 16.3% |
Physical Health Not Good | 14.5% | 10.6% |
Depression | 25.4% | 22.8% |
Smoking | 23.2% | 19.3% |
Binge Drinking | 13.7% | 19.4% |
Obesity | 43.7% | 39.6% |
Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: Wynne vs New riegel
- More residents in Wynne report poor mental health at 20.1% compared to 16.3% in New riegel.
- Depression is more prevalent in Wynne at 25.4% compared to 22.8% in New riegel.
- Smoking is more prevalent in Wynne at 23.2% compared to 19.3% in New riegel.
- More residents engage in binge drinking in New riegel at 19.4% compared to 13.7% in Wynne.
- Obesity rates are higher in Wynne at 43.7% compared to 39.6% in New riegel.
- Disability percentages are the same in both Wynne and New riegel at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wynne | New riegel |
---|---|---|
No Schooling | 1.4% (116) | 0.0% (Data is updating) |
High School Diploma | 25.0% (2,055) | 27.7% (78) |
Less than High School | 19.6% (1,610) | 12.8% (36) |
Bachelor's Degree and Higher | 11.0% (905) | 11.3% (32) |
Education Levels Comparison: Wynne vs New riegel
- A higher percentage of residents in Wynne have no formal schooling at 1.4% compared to 0.0% in New riegel.
- In New riegel, the rate of residents with high school diplomas is higher at 27.7% compared to 25.0% in Wynne.
- More residents in Wynne have less than a high school education at 19.6% compared to 12.8% in New riegel.
- In New riegel, a larger share of residents have a bachelor's degree or higher at 11.3% compared to 11.0% in Wynne.
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.