Demographics details for San dimas, CA vs Manhattan, KS
Population Overview
Compare main population characteristics in San dimas, CA vs Manhattan, KS.
| Data | San dimas | Manhattan |
|---|---|---|
| Population | 33,535 | 53,829 |
| Median Age | 42.7 years | 24.7 years |
| Median Income | $102,241 | $55,316 |
| Married Families | 44.0% | 29.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 5.2 | 3.8 |
Population Comparison: San dimas vs Manhattan
- The population in Manhattan is higher at 53,829, compared to 33,535 in San dimas.
- Residents in San dimas have a higher median age of 42.7 years compared to 24.7 years in Manhattan.
- San dimas has a higher median income of $102,241 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in San dimas at 44.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 9% in San dimas.
- The unemployment rate in San dimas is higher at 5.2%, compared to 3.8% in Manhattan.
Demographics
Demographics San dimas vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | San dimas | Manhattan |
|---|---|---|
| Black | 3 | 5 |
| White | 25 | 74 |
| Asian | 16 | 5 |
| Hispanic | 37 | 8 |
| Two or More Races | 18 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: San dimas vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 3% in San dimas.
- The percentage of White residents is higher in Manhattan at 74% compared to 25% in San dimas.
- The Asian population is larger in San dimas at 16% compared to 5% in Manhattan.
- The Hispanic community is larger in San dimas at 37% compared to 8% in Manhattan.
- More residents identify as two or more races in San dimas at 18% compared to 7% in Manhattan.
- The percentage of American Indian residents is the same in both San dimas and Manhattan at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San dimas | Manhattan |
|---|---|---|
| Mental Health Not Good | 14.6% | 15.7% |
| Physical Health Not Good | 9.5% | 10.1% |
| Depression | 16.6% | 20.2% |
| Smoking | 9.3% | 16.0% |
| Binge Drinking | 16.7% | 20.6% |
| Obesity | 26.3% | 32.2% |
| Disability Percentage | 15.0% | 12.0% |
Health Statistics Comparison: San dimas vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 15.7% compared to 14.6% in San dimas.
- Higher depression rates are seen in Manhattan at 20.2% versus 16.6% in San dimas.
- Manhattan has a higher smoking rate at 16.0% compared to 9.3% in San dimas.
- More residents engage in binge drinking in Manhattan at 20.6% compared to 16.7% in San dimas.
- Manhattan has higher obesity rates at 32.2% compared to 26.3% in San dimas.
- Disability percentages are higher in San dimas at 15.0% compared to 12.0% in Manhattan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | San dimas | Manhattan |
|---|---|---|
| No Schooling | 1.1% (362) | 0.5% (256) |
| High School Diploma | 13.8% (4,634) | 5.8% (3,138) |
| Less than High School | 8.5% (2,851) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 28.3% (9,476) | 26.0% (14,017) |
Education Levels Comparison: San dimas vs Manhattan
- A higher percentage of residents in San dimas have no formal schooling at 1.1% compared to 0.5% in Manhattan.
- A higher percentage of residents in San dimas hold a high school diploma at 13.8% compared to 5.8% in Manhattan.
- More residents in San dimas have less than a high school education at 8.5% compared to 4.2% in Manhattan.
- A higher percentage of residents in San dimas hold a bachelor's degree or higher at 28.3% compared to 26.0% in Manhattan.
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.