Demographics details for Danbury, CT vs Seaside park, NJ
Population Overview
Compare main population characteristics in Danbury, CT vs Seaside park, NJ.
Data | Danbury | Seaside park |
---|---|---|
Population | 86,967 | 1,473 |
Median Age | 38.6 years | 59.5 years |
Median Income | $79,983 | $80,658 |
Married Families | 38.0% | 57.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 2.4 | 4.1 |
Population Comparison: Danbury vs Seaside park
- In Danbury, the population is higher at 86,967, compared to 1,473 in Seaside park.
- The median age in Seaside park is higher at 59.5 years, compared to 38.6 years in Danbury.
- Seaside park has a higher median income of $80,658, compared to $79,983 in Danbury.
- In Seaside park, the percentage of married families is higher at 57.0%, compared to 38.0% in Danbury.
- Danbury has a higher poverty level at 9% compared to 5% in Seaside park.
- Seaside park has a higher unemployment rate at 4.1% compared to 2.4% in Danbury.
Demographics
Demographics Danbury vs Seaside park provide insight into the diversity of the communities to compare.
Demographic | Danbury | Seaside park |
---|---|---|
Black | 13 | 3 |
White | 38 | 90 |
Asian | 5 | 4 |
Hispanic | 32 | 1 |
Two or More Races | 12 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Danbury vs Seaside park
- A higher percentage of Black residents are in Danbury at 13% compared to 3% in Seaside park.
- The percentage of White residents is higher in Seaside park at 90% compared to 38% in Danbury.
- The Asian population is larger in Danbury at 5% compared to 4% in Seaside park.
- The Hispanic community is larger in Danbury at 32% compared to 1% in Seaside park.
- More residents identify as two or more races in Danbury at 12% compared to 2% in Seaside park.
- The percentage of American Indian residents is the same in both Danbury and Seaside park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Danbury | Seaside park |
---|---|---|
Mental Health Not Good | 15.1% | 15.4% |
Physical Health Not Good | 10.3% | 10.1% |
Depression | 18.8% | 23.1% |
Smoking | 14.2% | 13.2% |
Binge Drinking | 16.2% | 18.2% |
Obesity | 26.0% | 30.7% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: Danbury vs Seaside park
- In Seaside park, a higher percentage report poor mental health at 15.4% compared to 15.1% in Danbury.
- Higher depression rates are seen in Seaside park at 23.1% versus 18.8% in Danbury.
- Smoking is more prevalent in Danbury at 14.2% compared to 13.2% in Seaside park.
- More residents engage in binge drinking in Seaside park at 18.2% compared to 16.2% in Danbury.
- Seaside park has higher obesity rates at 30.7% compared to 26.0% in Danbury.
- There is a higher percentage of disabled individuals in Seaside park at 13.0% 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 | Seaside park |
---|---|---|
No Schooling | 2.0% (1,713) | 0.0% (Data is updating) |
High School Diploma | 15.7% (13,686) | 22.2% (327) |
Less than High School | 19.6% (17,043) | 3.3% (49) |
Bachelor's Degree and Higher | 23.0% (19,982) | 56.3% (830) |
Education Levels Comparison: Danbury vs Seaside park
- A higher percentage of residents in Danbury have no formal schooling at 2.0% compared to 0.0% in Seaside park.
- In Seaside park, the rate of residents with high school diplomas is higher at 22.2% compared to 15.7% in Danbury.
- More residents in Danbury have less than a high school education at 19.6% compared to 3.3% in Seaside park.
- In Seaside park, a larger share of residents have a bachelor's degree or higher at 56.3% compared to 23.0% in Danbury.
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.