Demographics details for Butler, MO vs Pinellas park, FL
Population Overview
Compare main population characteristics in Butler, MO vs Pinellas park, FL.
| Data | Butler | Pinellas park |
|---|---|---|
| Population | 4,246 | 53,653 |
| Median Age | 36.7 years | 43.9 years |
| Median Income | $33,548 | $62,306 |
| Married Families | 35.0% | 38.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 4.3 | 3.3 |
Population Comparison: Butler vs Pinellas park
- The population in Pinellas park is higher at 53,653, compared to 4,246 in Butler.
- The median age in Pinellas park is higher at 43.9 years, compared to 36.7 years in Butler.
- Pinellas park has a higher median income of $62,306, compared to $33,548 in Butler.
- In Pinellas park, the percentage of married families is higher at 38.0%, compared to 35.0% in Butler.
- Butler has a higher poverty level at 14% compared to 10% in Pinellas park.
- The unemployment rate in Butler is higher at 4.3%, compared to 3.3% in Pinellas park.
Demographics
Demographics Butler vs Pinellas park provide insight into the diversity of the communities to compare.
| Demographic | Butler | Pinellas park |
|---|---|---|
| Black | 6 | 6 |
| White | 89 | 62 |
| Asian | 1 | 11 |
| Hispanic | 1 | 13 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Pinellas park
- The percentage of Black residents is the same in both Butler and Pinellas park at 6%.
- Butler has a higher percentage of White residents at 89% compared to 62% in Pinellas park.
- In Pinellas park, the Asian population stands at 11%, greater than 1% in Butler.
- Pinellas park has a higher percentage of Hispanic residents at 13%, compared to 1% in Butler.
- The percentage of residents identifying as two or more races is higher in Pinellas park at 8%, compared to 3% in Butler.
- The percentage of American Indian residents is the same in both Butler and Pinellas park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Butler | Pinellas park |
|---|---|---|
| Mental Health Not Good | 20.0% | 16.8% |
| Physical Health Not Good | 15.0% | 11.5% |
| Depression | 27.0% | 19.6% |
| Smoking | 26.2% | 22.3% |
| Binge Drinking | 16.4% | 17.1% |
| Obesity | 42.8% | 27.8% |
| Disability Percentage | 21.0% | 17.0% |
Health Statistics Comparison: Butler vs Pinellas park
- More residents in Butler report poor mental health at 20.0% compared to 16.8% in Pinellas park.
- Depression is more prevalent in Butler at 27.0% compared to 19.6% in Pinellas park.
- Smoking is more prevalent in Butler at 26.2% compared to 22.3% in Pinellas park.
- More residents engage in binge drinking in Pinellas park at 17.1% compared to 16.4% in Butler.
- Obesity rates are higher in Butler at 42.8% compared to 27.8% in Pinellas park.
- Disability percentages are higher in Butler at 21.0% compared to 17.0% in Pinellas park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Butler | Pinellas park |
|---|---|---|
| No Schooling | 0.7% (31) | 2.6% (1,420) |
| High School Diploma | 37.8% (1,605) | 17.5% (9,393) |
| Less than High School | 11.9% (505) | 19.3% (10,338) |
| Bachelor's Degree and Higher | 7.8% (330) | 17.9% (9,620) |
Education Levels Comparison: Butler vs Pinellas park
- In Pinellas park, a larger percentage of residents lack formal schooling at 2.6% compared to 0.7% in Butler.
- A higher percentage of residents in Butler hold a high school diploma at 37.8% compared to 17.5% in Pinellas park.
- The percentage of residents with less than a high school education is higher in Pinellas park at 19.3%, compared to 11.9% in Butler.
- In Pinellas park, a larger share of residents have a bachelor's degree or higher at 17.9% compared to 7.8% 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.