Demographics details for Blue point, NY vs Hortense, GA
Population Overview
Compare main population characteristics in Blue point, NY vs Hortense, GA.
Data | Blue point | Hortense |
---|---|---|
Population | 4,616 | 102 |
Median Age | 46.8 years | 37.0 years |
Median Income | $126,818 | $45,000 |
Married Families | 51.0% | 60.0% |
Poverty Level | Data is updating | 15% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Blue point vs Hortense
- In Blue point, the population is higher at 4,616, compared to 102 in Hortense.
- Residents in Blue point have a higher median age of 46.8 years compared to 37.0 years in Hortense.
- Blue point has a higher median income of $126,818 compared to $45,000 in Hortense.
- In Hortense, the percentage of married families is higher at 60.0%, compared to 51.0% in Blue point.
- The poverty level is higher in Hortense at 15%, compared to 0% in Blue point.
- Hortense has a higher unemployment rate at 4.0% compared to 3.5% in Blue point.
Demographics
Demographics Blue point vs Hortense provide insight into the diversity of the communities to compare.
Demographic | Blue point | Hortense |
---|---|---|
Black | 1 | 5 |
White | 93 | 90 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | 2 |
Two or More Races | 1 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blue point vs Hortense
- In Hortense, the percentage of Black residents is higher at 5% compared to 1% in Blue point.
- Blue point has a higher percentage of White residents at 93% compared to 90% in Hortense.
- Both Blue point and Hortense have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Blue point at 5% compared to 2% in Hortense.
- The percentage of residents identifying as two or more races is higher in Hortense at 3%, compared to 1% in Blue point.
- The percentage of American Indian residents is the same in both Blue point and Hortense at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blue point | Hortense |
---|---|---|
Mental Health Not Good | 13.3% | Data is updating% |
Physical Health Not Good | 7.4% | Data is updating% |
Depression | 19.7% | Data is updating% |
Smoking | 10.9% | Data is updating% |
Binge Drinking | 18.1% | Data is updating% |
Obesity | 26.7% | Data is updating% |
Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Blue point vs Hortense
- More residents in Blue point report poor mental health at 13.3% compared to 0.0% in Hortense.
- Depression is more prevalent in Blue point at 19.7% compared to 0.0% in Hortense.
- Smoking is more prevalent in Blue point at 10.9% compared to 0.0% in Hortense.
- Binge drinking is more common in Blue point at 18.1% compared to 0.0% in Hortense.
- Obesity rates are higher in Blue point at 26.7% compared to 0.0% in Hortense.
- Disability percentages are higher in Blue point at 9.0% compared to 0.0% in Hortense.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Blue point | Hortense |
---|---|---|
No Schooling | 0.3% (14) | 0.0% (Data is updating) |
High School Diploma | 17.9% (827) | 0.0% (Data is updating) |
Less than High School | 4.5% (209) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 36.9% (1,701) | 0.0% (Data is updating) |
Education Levels Comparison: Blue point vs Hortense
- A higher percentage of residents in Blue point have no formal schooling at 0.3% compared to 0.0% in Hortense.
- A higher percentage of residents in Blue point hold a high school diploma at 17.9% compared to 0.0% in Hortense.
- More residents in Blue point have less than a high school education at 4.5% compared to 0.0% in Hortense.
- A higher percentage of residents in Blue point hold a bachelor's degree or higher at 36.9% compared to 0.0% in Hortense.
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.