Demographics details for Stanley, WI vs Central point, OR
Population Overview
Compare main population characteristics in Stanley, WI vs Central point, OR.
Data | Stanley | Central point |
---|---|---|
Population | 3,798 | 19,222 |
Median Age | 38.0 years | 40.3 years |
Median Income | $55,919 | $79,731 |
Married Families | 23.0% | 45.0% |
Poverty Level | 14% | 10% |
Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Stanley vs Central point
- The population in Central point is higher at 19,222, compared to 3,798 in Stanley.
- The median age in Central point is higher at 40.3 years, compared to 38.0 years in Stanley.
- Central point has a higher median income of $79,731, compared to $55,919 in Stanley.
- In Central point, the percentage of married families is higher at 45.0%, compared to 23.0% in Stanley.
- Stanley has a higher poverty level at 14% compared to 10% in Central point.
- Central point has a higher unemployment rate at 4.5% compared to 3.0% in Stanley.
Demographics
Demographics Stanley vs Central point provide insight into the diversity of the communities to compare.
Demographic | Stanley | Central point |
---|---|---|
Black | 14 | Data is updating |
White | 65 | 76 |
Asian | 2 | 1 |
Hispanic | 9 | 15 |
Two or More Races | 8 | 7 |
American Indian | 2 | 1 |
Demographics Comparison: Stanley vs Central point
- A higher percentage of Black residents are in Stanley at 14% compared to 0% in Central point.
- The percentage of White residents is higher in Central point at 76% compared to 65% in Stanley.
- The Asian population is larger in Stanley at 2% compared to 1% in Central point.
- Central point has a higher percentage of Hispanic residents at 15%, compared to 9% in Stanley.
- More residents identify as two or more races in Stanley at 8% compared to 7% in Central point.
- A greater percentage of American Indian residents live in Stanley at 2% compared to 1% in Central point.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Stanley | Central point |
---|---|---|
Mental Health Not Good | 14.5% | 19.4% |
Physical Health Not Good | 11.0% | 12.0% |
Depression | 20.7% | 29.4% |
Smoking | 19.3% | 16.7% |
Binge Drinking | 25.2% | 16.5% |
Obesity | 37.2% | 30.1% |
Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Stanley vs Central point
- In Central point, a higher percentage report poor mental health at 19.4% compared to 14.5% in Stanley.
- Higher depression rates are seen in Central point at 29.4% versus 20.7% in Stanley.
- Smoking is more prevalent in Stanley at 19.3% compared to 16.7% in Central point.
- Binge drinking is more common in Stanley at 25.2% compared to 16.5% in Central point.
- Obesity rates are higher in Stanley at 37.2% compared to 30.1% in Central point.
- There is a higher percentage of disabled individuals in Central point at 11.0% compared to 9.0% in Stanley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Stanley | Central point |
---|---|---|
No Schooling | 0.7% (25) | 1.7% (319) |
High School Diploma | 25.2% (958) | 16.1% (3,095) |
Less than High School | 21.2% (805) | 13.2% (2,530) |
Bachelor's Degree and Higher | 8.1% (306) | 15.6% (3,003) |
Education Levels Comparison: Stanley vs Central point
- In Central point, a larger percentage of residents lack formal schooling at 1.7% compared to 0.7% in Stanley.
- A higher percentage of residents in Stanley hold a high school diploma at 25.2% compared to 16.1% in Central point.
- More residents in Stanley have less than a high school education at 21.2% compared to 13.2% in Central point.
- In Central point, a larger share of residents have a bachelor's degree or higher at 15.6% compared to 8.1% in Stanley.
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.