Demographics details for San dimas, CA vs Fort smith, AR
Population Overview
Compare main population characteristics in San dimas, CA vs Fort smith, AR.
Data | San dimas | Fort smith |
---|---|---|
Population | 33,535 | 89,992 |
Median Age | 42.7 years | 36.4 years |
Median Income | $102,241 | $50,799 |
Married Families | 44.0% | 36.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 5.2 | 3.7 |
Population Comparison: San dimas vs Fort smith
- The population in Fort smith is higher at 89,992, compared to 33,535 in San dimas.
- Residents in San dimas have a higher median age of 42.7 years compared to 36.4 years in Fort smith.
- San dimas has a higher median income of $102,241 compared to $50,799 in Fort smith.
- A higher percentage of married families is found in San dimas at 44.0% compared to 36.0% in Fort smith.
- The poverty level is higher in Fort smith at 12%, compared to 9% in San dimas.
- The unemployment rate in San dimas is higher at 5.2%, compared to 3.7% in Fort smith.
Demographics
Demographics San dimas vs Fort smith provide insight into the diversity of the communities to compare.
Demographic | San dimas | Fort smith |
---|---|---|
Black | 3 | 8 |
White | 25 | 57 |
Asian | 16 | 6 |
Hispanic | 37 | 19 |
Two or More Races | 18 | 9 |
American Indian | 1 | 1 |
Demographics Comparison: San dimas vs Fort smith
- In Fort smith, the percentage of Black residents is higher at 8% compared to 3% in San dimas.
- The percentage of White residents is higher in Fort smith at 57% compared to 25% in San dimas.
- The Asian population is larger in San dimas at 16% compared to 6% in Fort smith.
- The Hispanic community is larger in San dimas at 37% compared to 19% in Fort smith.
- More residents identify as two or more races in San dimas at 18% compared to 9% in Fort smith.
- The percentage of American Indian residents is the same in both San dimas and Fort smith at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San dimas | Fort smith |
---|---|---|
Mental Health Not Good | 14.6% | 19.6% |
Physical Health Not Good | 9.5% | 14.7% |
Depression | 16.6% | 27.8% |
Smoking | 9.3% | 21.8% |
Binge Drinking | 16.7% | 13.2% |
Obesity | 26.3% | 39.5% |
Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: San dimas vs Fort smith
- In Fort smith, a higher percentage report poor mental health at 19.6% compared to 14.6% in San dimas.
- Higher depression rates are seen in Fort smith at 27.8% versus 16.6% in San dimas.
- Fort smith has a higher smoking rate at 21.8% compared to 9.3% in San dimas.
- Binge drinking is more common in San dimas at 16.7% compared to 13.2% in Fort smith.
- Fort smith has higher obesity rates at 39.5% compared to 26.3% in San dimas.
- There is a higher percentage of disabled individuals in Fort smith at 20.0% compared to 15.0% in San dimas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San dimas | Fort smith |
---|---|---|
No Schooling | 1.1% (362) | 2.3% (2,029) |
High School Diploma | 13.8% (4,634) | 14.8% (13,356) |
Less than High School | 8.5% (2,851) | 19.8% (17,822) |
Bachelor's Degree and Higher | 28.3% (9,476) | 16.4% (14,745) |
Education Levels Comparison: San dimas vs Fort smith
- In Fort smith, a larger percentage of residents lack formal schooling at 2.3% compared to 1.1% in San dimas.
- In Fort smith, the rate of residents with high school diplomas is higher at 14.8% compared to 13.8% in San dimas.
- The percentage of residents with less than a high school education is higher in Fort smith at 19.8%, compared to 8.5% in San dimas.
- A higher percentage of residents in San dimas hold a bachelor's degree or higher at 28.3% compared to 16.4% in Fort smith.
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.