Demographics details for Central point, OR vs Pine hill, NY
Population Overview
Compare main population characteristics in Central point, OR vs Pine hill, NY.
Data | Central point | Pine hill |
---|---|---|
Population | 19,222 | 360 |
Median Age | 40.3 years | 55.5 years |
Median Income | $79,731 | $81,181 |
Married Families | 45.0% | 37.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Central point vs Pine hill
- In Central point, the population is higher at 19,222, compared to 360 in Pine hill.
- The median age in Pine hill is higher at 55.5 years, compared to 40.3 years in Central point.
- Pine hill has a higher median income of $81,181, compared to $79,731 in Central point.
- A higher percentage of married families is found in Central point at 45.0% compared to 37.0% in Pine hill.
- Central point has a higher poverty level at 10% compared to 8% in Pine hill.
- The unemployment rate in Central point is higher at 4.5%, compared to 4.2% in Pine hill.
Demographics
Demographics Central point vs Pine hill provide insight into the diversity of the communities to compare.
Demographic | Central point | Pine hill |
---|---|---|
Black | Data is updating | Data is updating |
White | 76 | 57 |
Asian | 1 | 40 |
Hispanic | 15 | 2 |
Two or More Races | 7 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Central point vs Pine hill
- The percentage of Black residents is the same in both Central point and Pine hill at 0%.
- Central point has a higher percentage of White residents at 76% compared to 57% in Pine hill.
- In Pine hill, the Asian population stands at 40%, greater than 1% in Central point.
- The Hispanic community is larger in Central point at 15% compared to 2% in Pine hill.
- More residents identify as two or more races in Central point at 7% compared to 1% in Pine hill.
- A greater percentage of American Indian residents live in Central point at 1% compared to 0% in Pine hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Central point | Pine hill |
---|---|---|
Mental Health Not Good | 19.4% | 15.8% |
Physical Health Not Good | 12.0% | 10.3% |
Depression | 29.4% | 25.8% |
Smoking | 16.7% | 15.9% |
Binge Drinking | 16.5% | 19.4% |
Obesity | 30.1% | 29.1% |
Disability Percentage | 11.0% | 30.0% |
Health Statistics Comparison: Central point vs Pine hill
- More residents in Central point report poor mental health at 19.4% compared to 15.8% in Pine hill.
- Depression is more prevalent in Central point at 29.4% compared to 25.8% in Pine hill.
- Smoking is more prevalent in Central point at 16.7% compared to 15.9% in Pine hill.
- More residents engage in binge drinking in Pine hill at 19.4% compared to 16.5% in Central point.
- Obesity rates are higher in Central point at 30.1% compared to 29.1% in Pine hill.
- There is a higher percentage of disabled individuals in Pine hill at 30.0% compared to 11.0% in Central point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Central point | Pine hill |
---|---|---|
No Schooling | 1.7% (319) | 0.0% (Data is updating) |
High School Diploma | 16.1% (3,095) | 10.8% (39) |
Less than High School | 13.2% (2,530) | 12.8% (46) |
Bachelor's Degree and Higher | 15.6% (3,003) | 60.3% (217) |
Education Levels Comparison: Central point vs Pine hill
- A higher percentage of residents in Central point have no formal schooling at 1.7% compared to 0.0% in Pine hill.
- A higher percentage of residents in Central point hold a high school diploma at 16.1% compared to 10.8% in Pine hill.
- More residents in Central point have less than a high school education at 13.2% compared to 12.8% in Pine hill.
- In Pine hill, a larger share of residents have a bachelor's degree or higher at 60.3% compared to 15.6% in Central point.
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.