Demographics details for Yellville, AR vs What cheer, IA
Population Overview
Compare main population characteristics in Yellville, AR vs What cheer, IA.
Data | Yellville | What cheer |
---|---|---|
Population | 1,170 | 597 |
Median Age | 33.2 years | 34.8 years |
Median Income | $33,983 | $45,500 |
Married Families | 34.0% | 45.0% |
Poverty Level | 18% | 12% |
Unemployment Rate | 3.7 | 3.9 |
Population Comparison: Yellville vs What cheer
- In Yellville, the population is higher at 1,170, compared to 597 in What cheer.
- The median age in What cheer is higher at 34.8 years, compared to 33.2 years in Yellville.
- What cheer has a higher median income of $45,500, compared to $33,983 in Yellville.
- In What cheer, the percentage of married families is higher at 45.0%, compared to 34.0% in Yellville.
- Yellville has a higher poverty level at 18% compared to 12% in What cheer.
- What cheer has a higher unemployment rate at 3.9% compared to 3.7% in Yellville.
Demographics
Demographics Yellville vs What cheer provide insight into the diversity of the communities to compare.
Demographic | Yellville | What cheer |
---|---|---|
Black | 6 | 3 |
White | 81 | 87 |
Asian | 1 | Data is updating |
Hispanic | 4 | 6 |
Two or More Races | 8 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Yellville vs What cheer
- A higher percentage of Black residents are in Yellville at 6% compared to 3% in What cheer.
- The percentage of White residents is higher in What cheer at 87% compared to 81% in Yellville.
- The Asian population is larger in Yellville at 1% compared to 0% in What cheer.
- What cheer has a higher percentage of Hispanic residents at 6%, compared to 4% in Yellville.
- More residents identify as two or more races in Yellville at 8% compared to 4% in What cheer.
- The percentage of American Indian residents is the same in both Yellville and What cheer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Yellville | What cheer |
---|---|---|
Mental Health Not Good | 22.5% | 17.0% |
Physical Health Not Good | 16.6% | 11.3% |
Depression | 29.9% | 20.1% |
Smoking | 27.4% | 21.2% |
Binge Drinking | 14.6% | 21.0% |
Obesity | 39.9% | 40.1% |
Disability Percentage | 21.0% | 30.0% |
Health Statistics Comparison: Yellville vs What cheer
- More residents in Yellville report poor mental health at 22.5% compared to 17.0% in What cheer.
- Depression is more prevalent in Yellville at 29.9% compared to 20.1% in What cheer.
- Smoking is more prevalent in Yellville at 27.4% compared to 21.2% in What cheer.
- More residents engage in binge drinking in What cheer at 21.0% compared to 14.6% in Yellville.
- What cheer has higher obesity rates at 40.1% compared to 39.9% in Yellville.
- There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 21.0% in Yellville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Yellville | What cheer |
---|---|---|
No Schooling | 0.5% (6) | 1.5% (9) |
High School Diploma | 24.1% (282) | 31.8% (190) |
Less than High School | 16.3% (191) | 11.9% (71) |
Bachelor's Degree and Higher | 7.2% (84) | 5.0% (30) |
Education Levels Comparison: Yellville vs What cheer
- In What cheer, a larger percentage of residents lack formal schooling at 1.5% compared to 0.5% in Yellville.
- In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 24.1% in Yellville.
- More residents in Yellville have less than a high school education at 16.3% compared to 11.9% in What cheer.
- A higher percentage of residents in Yellville hold a bachelor's degree or higher at 7.2% compared to 5.0% in What cheer.
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.