Demographics details for San dimas, CA vs Greeley, CO
Population Overview
Compare main population characteristics in San dimas, CA vs Greeley, CO.
| Data | San dimas | Greeley |
|---|---|---|
| Population | 33,535 | 109,209 |
| Median Age | 42.7 years | 31.9 years |
| Median Income | $102,241 | $65,525 |
| Married Families | 44.0% | 36.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 5.2 | 4.8 |
Population Comparison: San dimas vs Greeley
- The population in Greeley is higher at 109,209, compared to 33,535 in San dimas.
- Residents in San dimas have a higher median age of 42.7 years compared to 31.9 years in Greeley.
- San dimas has a higher median income of $102,241 compared to $65,525 in Greeley.
- A higher percentage of married families is found in San dimas at 44.0% compared to 36.0% in Greeley.
- The poverty level is higher in Greeley at 12%, compared to 9% in San dimas.
- The unemployment rate in San dimas is higher at 5.2%, compared to 4.8% in Greeley.
Demographics
Demographics San dimas vs Greeley provide insight into the diversity of the communities to compare.
| Demographic | San dimas | Greeley |
|---|---|---|
| Black | 3 | 3 |
| White | 25 | 45 |
| Asian | 16 | 1 |
| Hispanic | 37 | 39 |
| Two or More Races | 18 | 11 |
| American Indian | 1 | 1 |
Demographics Comparison: San dimas vs Greeley
- The percentage of Black residents is the same in both San dimas and Greeley at 3%.
- The percentage of White residents is higher in Greeley at 45% compared to 25% in San dimas.
- The Asian population is larger in San dimas at 16% compared to 1% in Greeley.
- Greeley has a higher percentage of Hispanic residents at 39%, compared to 37% in San dimas.
- More residents identify as two or more races in San dimas at 18% compared to 11% in Greeley.
- The percentage of American Indian residents is the same in both San dimas and Greeley at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San dimas | Greeley |
|---|---|---|
| Mental Health Not Good | 14.6% | 17.0% |
| Physical Health Not Good | 9.5% | 12.3% |
| Depression | 16.6% | 21.4% |
| Smoking | 9.3% | 16.5% |
| Binge Drinking | 16.7% | 16.7% |
| Obesity | 26.3% | 30.8% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: San dimas vs Greeley
- In Greeley, a higher percentage report poor mental health at 17.0% compared to 14.6% in San dimas.
- Higher depression rates are seen in Greeley at 21.4% versus 16.6% in San dimas.
- Greeley has a higher smoking rate at 16.5% compared to 9.3% in San dimas.
- Binge drinking rates are similar in both San dimas and Greeley at 16.7%.
- Greeley has higher obesity rates at 30.8% compared to 26.3% in San dimas.
- Disability percentages are higher in San dimas at 15.0% compared to 11.0% in Greeley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | San dimas | Greeley |
|---|---|---|
| No Schooling | 1.1% (362) | 2.2% (2,416) |
| High School Diploma | 13.8% (4,634) | 12.0% (13,106) |
| Less than High School | 8.5% (2,851) | 19.3% (21,128) |
| Bachelor's Degree and Higher | 28.3% (9,476) | 16.4% (17,877) |
Education Levels Comparison: San dimas vs Greeley
- In Greeley, a larger percentage of residents lack formal schooling at 2.2% compared to 1.1% in San dimas.
- A higher percentage of residents in San dimas hold a high school diploma at 13.8% compared to 12.0% in Greeley.
- The percentage of residents with less than a high school education is higher in Greeley at 19.3%, 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 Greeley.
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.