Demographics details for Brooklyn, CT vs Hope, AR
Population Overview
Compare main population characteristics in Brooklyn, CT vs Hope, AR.
| Data | Brooklyn | Hope |
|---|---|---|
| Population | 8,244 | 8,624 |
| Median Age | 41.5 years | 36.2 years |
| Median Income | $80,945 | $43,018 |
| Married Families | Data is updating | 29.0% |
| Poverty Level | 6% | 20% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Brooklyn vs Hope
- The population in Hope is higher at 8,624, compared to 8,244 in Brooklyn.
- Residents in Brooklyn have a higher median age of 41.5 years compared to 36.2 years in Hope.
- Brooklyn has a higher median income of $80,945 compared to $43,018 in Hope.
- In Hope, the percentage of married families is higher at 29.0%, compared to 0.0% in Brooklyn.
- The poverty level is higher in Hope at 20%, compared to 6% in Brooklyn.
- Hope has a higher unemployment rate at 4.5% compared to 2.5% in Brooklyn.
Demographics
Demographics Brooklyn vs Hope provide insight into the diversity of the communities to compare.
| Demographic | Brooklyn | Hope |
|---|---|---|
| Black | Data is updating | 48 |
| White | 100 | 28 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 19 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Brooklyn vs Hope
- In Hope, the percentage of Black residents is higher at 48% compared to 0% in Brooklyn.
- Brooklyn has a higher percentage of White residents at 100% compared to 28% in Hope.
- Both Brooklyn and Hope have the same percentage of Asian residents at 0%.
- Hope has a higher percentage of Hispanic residents at 19%, compared to 0% in Brooklyn.
- The percentage of residents identifying as two or more races is higher in Hope at 4%, compared to 0% in Brooklyn.
- In Hope, the percentage of American Indian residents is higher at 1%, compared to 0% in Brooklyn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Brooklyn | Hope |
|---|---|---|
| Mental Health Not Good | Data is updating% | 20.9% |
| Physical Health Not Good | Data is updating% | 16.6% |
| Depression | Data is updating% | 24.8% |
| Smoking | Data is updating% | 25.2% |
| Binge Drinking | Data is updating% | 12.1% |
| Obesity | Data is updating% | 48.0% |
| Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Brooklyn vs Hope
- In Hope, a higher percentage report poor mental health at 20.9% compared to 0.0% in Brooklyn.
- Higher depression rates are seen in Hope at 24.8% versus 0.0% in Brooklyn.
- Hope has a higher smoking rate at 25.2% compared to 0.0% in Brooklyn.
- More residents engage in binge drinking in Hope at 12.1% compared to 0.0% in Brooklyn.
- Hope has higher obesity rates at 48.0% compared to 0.0% in Brooklyn.
- There is a higher percentage of disabled individuals in Hope at 20.0% 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 | Brooklyn | Hope |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.0% (258) |
| High School Diploma | 0.0% (Data is updating) | 20.8% (1,790) |
| Less than High School | 0.0% (Data is updating) | 19.0% (1,641) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.0% (863) |
Education Levels Comparison: Brooklyn vs Hope
- In Hope, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Brooklyn.
- In Hope, the rate of residents with high school diplomas is higher at 20.8% compared to 0.0% in Brooklyn.
- The percentage of residents with less than a high school education is higher in Hope at 19.0%, compared to 0.0% in Brooklyn.
- In Hope, a larger share of residents have a bachelor's degree or higher at 10.0% 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.