Demographics details for Pleasant hill, MO vs Butler, WI
Population Overview
Compare main population characteristics in Pleasant hill, MO vs Butler, WI.
Data | Pleasant hill | Butler |
---|---|---|
Population | 8,715 | 1,811 |
Median Age | 36.9 years | 38.0 years |
Median Income | $88,408 | $65,000 |
Married Families | 43.0% | 52.0% |
Poverty Level | 8% | 5% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Pleasant hill vs Butler
- In Pleasant hill, the population is higher at 8,715, compared to 1,811 in Butler.
- The median age in Butler is higher at 38.0 years, compared to 36.9 years in Pleasant hill.
- Pleasant hill has a higher median income of $88,408 compared to $65,000 in Butler.
- In Butler, the percentage of married families is higher at 52.0%, compared to 43.0% in Pleasant hill.
- Pleasant hill has a higher poverty level at 8% compared to 5% in Butler.
- Butler has a higher unemployment rate at 3.5% compared to 3.2% in Pleasant hill.
Demographics
Demographics Pleasant hill vs Butler provide insight into the diversity of the communities to compare.
Demographic | Pleasant hill | Butler |
---|---|---|
Black | Data is updating | 2 |
White | 91 | 88 |
Asian | Data is updating | 5 |
Hispanic | 6 | 3 |
Two or More Races | 3 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pleasant hill vs Butler
- In Butler, the percentage of Black residents is higher at 2% compared to 0% in Pleasant hill.
- Pleasant hill has a higher percentage of White residents at 91% compared to 88% in Butler.
- In Butler, the Asian population stands at 5%, greater than 0% in Pleasant hill.
- The Hispanic community is larger in Pleasant hill at 6% compared to 3% in Butler.
- More residents identify as two or more races in Pleasant hill at 3% compared to 2% in Butler.
- The percentage of American Indian residents is the same in both Pleasant hill and Butler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pleasant hill | Butler |
---|---|---|
Mental Health Not Good | 18.8% | Data is updating% |
Physical Health Not Good | 12.9% | Data is updating% |
Depression | 25.7% | Data is updating% |
Smoking | 22.4% | Data is updating% |
Binge Drinking | 16.7% | Data is updating% |
Obesity | 39.8% | Data is updating% |
Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Pleasant hill vs Butler
- More residents in Pleasant hill report poor mental health at 18.8% compared to 0.0% in Butler.
- Depression is more prevalent in Pleasant hill at 25.7% compared to 0.0% in Butler.
- Smoking is more prevalent in Pleasant hill at 22.4% compared to 0.0% in Butler.
- Binge drinking is more common in Pleasant hill at 16.7% compared to 0.0% in Butler.
- Obesity rates are higher in Pleasant hill at 39.8% compared to 0.0% in Butler.
- Disability percentages are higher in Pleasant hill at 12.0% compared to 0.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pleasant hill | Butler |
---|---|---|
No Schooling | 0.5% (46) | 0.0% (Data is updating) |
High School Diploma | 19.3% (1,682) | 0.0% (Data is updating) |
Less than High School | 5.9% (517) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 16.9% (1,475) | 0.0% (Data is updating) |
Education Levels Comparison: Pleasant hill vs Butler
- A higher percentage of residents in Pleasant hill have no formal schooling at 0.5% compared to 0.0% in Butler.
- A higher percentage of residents in Pleasant hill hold a high school diploma at 19.3% compared to 0.0% in Butler.
- More residents in Pleasant hill have less than a high school education at 5.9% compared to 0.0% in Butler.
- A higher percentage of residents in Pleasant hill hold a bachelor's degree or higher at 16.9% compared to 0.0% in Butler.
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.