Demographics details for Central point, OR vs Boulder, CO
Population Overview
Compare main population characteristics in Central point, OR vs Boulder, CO.
| Data | Central point | Boulder |
|---|---|---|
| Population | 19,222 | 105,485 |
| Median Age | 40.3 years | 28.5 years |
| Median Income | $79,731 | $80,243 |
| Married Families | 45.0% | 28.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Central point vs Boulder
- The population in Boulder is higher at 105,485, compared to 19,222 in Central point.
- Residents in Central point have a higher median age of 40.3 years compared to 28.5 years in Boulder.
- Boulder has a higher median income of $80,243, compared to $79,731 in Central point.
- A higher percentage of married families is found in Central point at 45.0% compared to 28.0% in Boulder.
- The poverty level is higher in Boulder at 12%, compared to 10% in Central point.
- The unemployment rate in Central point is higher at 4.5%, compared to 4.2% in Boulder.
Demographics
Demographics Central point vs Boulder provide insight into the diversity of the communities to compare.
| Demographic | Central point | Boulder |
|---|---|---|
| Black | Data is updating | 1 |
| White | 76 | 74 |
| Asian | 1 | 6 |
| Hispanic | 15 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: Central point vs Boulder
- In Boulder, the percentage of Black residents is higher at 1% compared to 0% in Central point.
- Central point has a higher percentage of White residents at 76% compared to 74% in Boulder.
- In Boulder, the Asian population stands at 6%, greater than 1% in Central point.
- The Hispanic community is larger in Central point at 15% compared to 11% in Boulder.
- Both Central point and Boulder have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Central point and Boulder at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Central point | Boulder |
|---|---|---|
| Mental Health Not Good | 19.4% | 15.2% |
| Physical Health Not Good | 12.0% | 8.9% |
| Depression | 29.4% | 23.3% |
| Smoking | 16.7% | 10.9% |
| Binge Drinking | 16.5% | 19.5% |
| Obesity | 30.1% | 17.5% |
| Disability Percentage | 11.0% | 6.0% |
Health Statistics Comparison: Central point vs Boulder
- More residents in Central point report poor mental health at 19.4% compared to 15.2% in Boulder.
- Depression is more prevalent in Central point at 29.4% compared to 23.3% in Boulder.
- Smoking is more prevalent in Central point at 16.7% compared to 10.9% in Boulder.
- More residents engage in binge drinking in Boulder at 19.5% compared to 16.5% in Central point.
- Obesity rates are higher in Central point at 30.1% compared to 17.5% in Boulder.
- Disability percentages are higher in Central point at 11.0% compared to 6.0% in Boulder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Central point | Boulder |
|---|---|---|
| No Schooling | 1.7% (319) | 0.3% (324) |
| High School Diploma | 16.1% (3,095) | 2.9% (3,026) |
| Less than High School | 13.2% (2,530) | 3.3% (3,521) |
| Bachelor's Degree and Higher | 15.6% (3,003) | 43.6% (46,028) |
Education Levels Comparison: Central point vs Boulder
- A higher percentage of residents in Central point have no formal schooling at 1.7% compared to 0.3% in Boulder.
- A higher percentage of residents in Central point hold a high school diploma at 16.1% compared to 2.9% in Boulder.
- More residents in Central point have less than a high school education at 13.2% compared to 3.3% in Boulder.
- In Boulder, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 15.6% in Central point.
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.