Demographics details for Cross city, FL vs Brooklyn, CT
Population Overview
Compare main population characteristics in Cross city, FL vs Brooklyn, CT.
Data | Cross city | Brooklyn |
---|---|---|
Population | 1,754 | 8,244 |
Median Age | 40.2 years | 41.5 years |
Median Income | $44,500 | $80,945 |
Married Families | 47.0% | Data is updating |
Poverty Level | 18% | 6% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Cross city vs Brooklyn
- The population in Brooklyn is higher at 8,244, compared to 1,754 in Cross city.
- The median age in Brooklyn is higher at 41.5 years, compared to 40.2 years in Cross city.
- Brooklyn has a higher median income of $80,945, compared to $44,500 in Cross city.
- A higher percentage of married families is found in Cross city at 47.0% compared to 0.0% in Brooklyn.
- Cross city has a higher poverty level at 18% compared to 6% in Brooklyn.
- The unemployment rate in Cross city is higher at 3.5%, compared to 2.5% in Brooklyn.
Demographics
Demographics Cross city vs Brooklyn provide insight into the diversity of the communities to compare.
Demographic | Cross city | Brooklyn |
---|---|---|
Black | 20 | Data is updating |
White | 61 | 100 |
Asian | 2 | Data is updating |
Hispanic | 9 | Data is updating |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross city vs Brooklyn
- A higher percentage of Black residents are in Cross city at 20% compared to 0% in Brooklyn.
- The percentage of White residents is higher in Brooklyn at 100% compared to 61% in Cross city.
- The Asian population is larger in Cross city at 2% compared to 0% in Brooklyn.
- The Hispanic community is larger in Cross city at 9% compared to 0% in Brooklyn.
- More residents identify as two or more races in Cross city at 8% compared to 0% in Brooklyn.
- The percentage of American Indian residents is the same in both Cross city and Brooklyn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cross city | Brooklyn |
---|---|---|
Mental Health Not Good | 20.0% | Data is updating% |
Physical Health Not Good | 15.8% | Data is updating% |
Depression | 23.8% | Data is updating% |
Smoking | 29.1% | Data is updating% |
Binge Drinking | 14.8% | Data is updating% |
Obesity | 40.8% | Data is updating% |
Disability Percentage | 32.0% | Data is updating% |
Health Statistics Comparison: Cross city vs Brooklyn
- More residents in Cross city report poor mental health at 20.0% compared to 0.0% in Brooklyn.
- Depression is more prevalent in Cross city at 23.8% compared to 0.0% in Brooklyn.
- Smoking is more prevalent in Cross city at 29.1% compared to 0.0% in Brooklyn.
- Binge drinking is more common in Cross city at 14.8% compared to 0.0% in Brooklyn.
- Obesity rates are higher in Cross city at 40.8% compared to 0.0% in Brooklyn.
- Disability percentages are higher in Cross city at 32.0% compared to 0.0% in Brooklyn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cross city | Brooklyn |
---|---|---|
No Schooling | 0.9% (15) | 0.0% (Data is updating) |
High School Diploma | 39.2% (688) | 0.0% (Data is updating) |
Less than High School | 11.7% (205) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 7.8% (136) | 0.0% (Data is updating) |
Education Levels Comparison: Cross city vs Brooklyn
- A higher percentage of residents in Cross city have no formal schooling at 0.9% compared to 0.0% in Brooklyn.
- A higher percentage of residents in Cross city hold a high school diploma at 39.2% compared to 0.0% in Brooklyn.
- More residents in Cross city have less than a high school education at 11.7% compared to 0.0% in Brooklyn.
- A higher percentage of residents in Cross city hold a bachelor's degree or higher at 7.8% compared to 0.0% in Brooklyn.
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.