Demographics details for Danbury, CT vs Oakland park, FL
Population Overview
Compare main population characteristics in Danbury, CT vs Oakland park, FL.
| Data | Danbury | Oakland park |
|---|---|---|
| Population | 86,967 | 43,824 |
| Median Age | 38.6 years | 39.1 years |
| Median Income | $79,983 | $64,989 |
| Married Families | 38.0% | 30.0% |
| Poverty Level | 9% | 14% |
| Unemployment Rate | 2.4 | 3.1 |
Population Comparison: Danbury vs Oakland park
- In Danbury, the population is higher at 86,967, compared to 43,824 in Oakland park.
- The median age in Oakland park is higher at 39.1 years, compared to 38.6 years in Danbury.
- Danbury has a higher median income of $79,983 compared to $64,989 in Oakland park.
- A higher percentage of married families is found in Danbury at 38.0% compared to 30.0% in Oakland park.
- The poverty level is higher in Oakland park at 14%, compared to 9% in Danbury.
- Oakland park has a higher unemployment rate at 3.1% compared to 2.4% in Danbury.
Demographics
Demographics Danbury vs Oakland park provide insight into the diversity of the communities to compare.
| Demographic | Danbury | Oakland park |
|---|---|---|
| Black | 13 | 29 |
| White | 38 | 20 |
| Asian | 5 | 2 |
| Hispanic | 32 | 32 |
| Two or More Races | 12 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Danbury vs Oakland park
- In Oakland park, the percentage of Black residents is higher at 29% compared to 13% in Danbury.
- Danbury has a higher percentage of White residents at 38% compared to 20% in Oakland park.
- The Asian population is larger in Danbury at 5% compared to 2% in Oakland park.
- The percentage of Hispanic residents is the same in both Danbury and Oakland park at 32%.
- The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 12% in Danbury.
- The percentage of American Indian residents is the same in both Danbury and Oakland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Danbury | Oakland park |
|---|---|---|
| Mental Health Not Good | 15.1% | 16.3% |
| Physical Health Not Good | 10.3% | 12.2% |
| Depression | 18.8% | 17.8% |
| Smoking | 14.2% | 20.1% |
| Binge Drinking | 16.2% | 15.0% |
| Obesity | 26.0% | 31.1% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Danbury vs Oakland park
- In Oakland park, a higher percentage report poor mental health at 16.3% compared to 15.1% in Danbury.
- Depression is more prevalent in Danbury at 18.8% compared to 17.8% in Oakland park.
- Oakland park has a higher smoking rate at 20.1% compared to 14.2% in Danbury.
- Binge drinking is more common in Danbury at 16.2% compared to 15.0% in Oakland park.
- Oakland park has higher obesity rates at 31.1% compared to 26.0% in Danbury.
- There is a higher percentage of disabled individuals in Oakland park at 11.0% compared to 10.0% in Danbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Danbury | Oakland park |
|---|---|---|
| No Schooling | 2.0% (1,713) | 1.4% (596) |
| High School Diploma | 15.7% (13,686) | 19.8% (8,695) |
| Less than High School | 19.6% (17,043) | 16.2% (7,092) |
| Bachelor's Degree and Higher | 23.0% (19,982) | 20.7% (9,073) |
Education Levels Comparison: Danbury vs Oakland park
- A higher percentage of residents in Danbury have no formal schooling at 2.0% compared to 1.4% in Oakland park.
- In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 15.7% in Danbury.
- More residents in Danbury have less than a high school education at 19.6% compared to 16.2% in Oakland park.
- A higher percentage of residents in Danbury hold a bachelor's degree or higher at 23.0% compared to 20.7% in Oakland park.
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.