Demographics details for Deerfield beach, FL vs Butte, MT
Population Overview
Compare main population characteristics in Deerfield beach, FL vs Butte, MT.
| Data | Deerfield beach | Butte |
|---|---|---|
| Population | 86,772 | 35,416 |
| Median Age | 43.5 years | 40.2 years |
| Median Income | $53,741 | $56,522 |
| Married Families | 35.0% | 36.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Deerfield beach vs Butte
- In Deerfield beach, the population is higher at 86,772, compared to 35,416 in Butte.
- Residents in Deerfield beach have a higher median age of 43.5 years compared to 40.2 years in Butte.
- Butte has a higher median income of $56,522, compared to $53,741 in Deerfield beach.
- In Butte, the percentage of married families is higher at 36.0%, compared to 35.0% in Deerfield beach.
- The poverty level is identical in both Deerfield beach and Butte at 12%.
- Butte has a higher unemployment rate at 4.2% compared to 3.2% in Deerfield beach.
Demographics
Demographics Deerfield beach vs Butte provide insight into the diversity of the communities to compare.
| Demographic | Deerfield beach | Butte |
|---|---|---|
| Black | 24 | Data is updating |
| White | 33 | 89 |
| Asian | 2 | Data is updating |
| Hispanic | 24 | 5 |
| Two or More Races | 17 | 4 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Deerfield beach vs Butte
- A higher percentage of Black residents are in Deerfield beach at 24% compared to 0% in Butte.
- The percentage of White residents is higher in Butte at 89% compared to 33% in Deerfield beach.
- The Asian population is larger in Deerfield beach at 2% compared to 0% in Butte.
- The Hispanic community is larger in Deerfield beach at 24% compared to 5% in Butte.
- More residents identify as two or more races in Deerfield beach at 17% compared to 4% in Butte.
- In Butte, the percentage of American Indian residents is higher at 2%, compared to 0% in Deerfield beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Deerfield beach | Butte |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.1% |
| Physical Health Not Good | 11.6% | 11.5% |
| Depression | 18.5% | 25.6% |
| Smoking | 19.8% | 18.4% |
| Binge Drinking | 15.1% | 23.0% |
| Obesity | 30.3% | 32.5% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Deerfield beach vs Butte
- In Butte, a higher percentage report poor mental health at 17.1% compared to 16.6% in Deerfield beach.
- Higher depression rates are seen in Butte at 25.6% versus 18.5% in Deerfield beach.
- Smoking is more prevalent in Deerfield beach at 19.8% compared to 18.4% in Butte.
- More residents engage in binge drinking in Butte at 23.0% compared to 15.1% in Deerfield beach.
- Butte has higher obesity rates at 32.5% compared to 30.3% in Deerfield beach.
- There is a higher percentage of disabled individuals in Butte at 18.0% compared to 14.0% in Deerfield beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Deerfield beach | Butte |
|---|---|---|
| No Schooling | 1.8% (1,563) | 0.5% (181) |
| High School Diploma | 18.7% (16,205) | 17.7% (6,267) |
| Less than High School | 18.3% (15,908) | 8.4% (2,983) |
| Bachelor's Degree and Higher | 20.3% (17,606) | 18.7% (6,615) |
Education Levels Comparison: Deerfield beach vs Butte
- A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 0.5% in Butte.
- A higher percentage of residents in Deerfield beach hold a high school diploma at 18.7% compared to 17.7% in Butte.
- More residents in Deerfield beach have less than a high school education at 18.3% compared to 8.4% in Butte.
- A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 18.7% in Butte.
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.