Demographics details for San clemente, CA vs Turner, OR
Population Overview
Compare main population characteristics in San clemente, CA vs Turner, OR.
Data | San clemente | Turner |
---|---|---|
Population | 63,457 | 2,422 |
Median Age | 44.2 years | 38.6 years |
Median Income | $134,730 | $101,292 |
Married Families | 49.0% | 61.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 3.8 | 3.5 |
Population Comparison: San clemente vs Turner
- In San clemente, the population is higher at 63,457, compared to 2,422 in Turner.
- Residents in San clemente have a higher median age of 44.2 years compared to 38.6 years in Turner.
- San clemente has a higher median income of $134,730 compared to $101,292 in Turner.
- In Turner, the percentage of married families is higher at 61.0%, compared to 49.0% in San clemente.
- San clemente has a higher poverty level at 7% compared to 5% in Turner.
- The unemployment rate in San clemente is higher at 3.8%, compared to 3.5% in Turner.
Demographics
Demographics San clemente vs Turner provide insight into the diversity of the communities to compare.
Demographic | San clemente | Turner |
---|---|---|
Black | 2 | Data is updating |
White | 64 | 77 |
Asian | 5 | 2 |
Hispanic | 17 | 16 |
Two or More Races | 12 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: San clemente vs Turner
- A higher percentage of Black residents are in San clemente at 2% compared to 0% in Turner.
- The percentage of White residents is higher in Turner at 77% compared to 64% in San clemente.
- The Asian population is larger in San clemente at 5% compared to 2% in Turner.
- The Hispanic community is larger in San clemente at 17% compared to 16% in Turner.
- More residents identify as two or more races in San clemente at 12% compared to 5% in Turner.
- The percentage of American Indian residents is the same in both San clemente and Turner at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San clemente | Turner |
---|---|---|
Mental Health Not Good | 14.2% | 16.9% |
Physical Health Not Good | 8.6% | 9.9% |
Depression | 18.9% | 28.2% |
Smoking | 8.9% | 13.7% |
Binge Drinking | 19.0% | 18.0% |
Obesity | 25.4% | 33.6% |
Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: San clemente vs Turner
- In Turner, a higher percentage report poor mental health at 16.9% compared to 14.2% in San clemente.
- Higher depression rates are seen in Turner at 28.2% versus 18.9% in San clemente.
- Turner has a higher smoking rate at 13.7% compared to 8.9% in San clemente.
- Binge drinking is more common in San clemente at 19.0% compared to 18.0% in Turner.
- Turner has higher obesity rates at 33.6% compared to 25.4% in San clemente.
- There is a higher percentage of disabled individuals in Turner at 10.0% compared to 9.0% in San clemente.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San clemente | Turner |
---|---|---|
No Schooling | 0.9% (574) | 0.0% (Data is updating) |
High School Diploma | 8.4% (5,352) | 12.8% (311) |
Less than High School | 7.8% (4,957) | 9.2% (223) |
Bachelor's Degree and Higher | 36.1% (22,911) | 23.3% (564) |
Education Levels Comparison: San clemente vs Turner
- A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.0% in Turner.
- In Turner, the rate of residents with high school diplomas is higher at 12.8% compared to 8.4% in San clemente.
- The percentage of residents with less than a high school education is higher in Turner at 9.2%, compared to 7.8% in San clemente.
- A higher percentage of residents in San clemente hold a bachelor's degree or higher at 36.1% compared to 23.3% in Turner.
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.