Demographics details for Pittsburg, CA vs Spring park, MN
Population Overview
Compare main population characteristics in Pittsburg, CA vs Spring park, MN.
| Data | Pittsburg | Spring park |
|---|---|---|
| Population | 77,572 | 1,663 |
| Median Age | 35.2 years | 55.5 years |
| Median Income | $98,408 | $48,684 |
| Married Families | 37.0% | 30.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 5.3 | 3.2 |
Population Comparison: Pittsburg vs Spring park
- In Pittsburg, the population is higher at 77,572, compared to 1,663 in Spring park.
- The median age in Spring park is higher at 55.5 years, compared to 35.2 years in Pittsburg.
- Pittsburg has a higher median income of $98,408 compared to $48,684 in Spring park.
- A higher percentage of married families is found in Pittsburg at 37.0% compared to 30.0% in Spring park.
- The poverty level is higher in Spring park at 5%, compared to 0% in Pittsburg.
- The unemployment rate in Pittsburg is higher at 5.3%, compared to 3.2% in Spring park.
Demographics
Demographics Pittsburg vs Spring park provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Spring park |
|---|---|---|
| Black | 15 | 9 |
| White | 9 | 82 |
| Asian | 18 | 2 |
| Hispanic | 43 | 1 |
| Two or More Races | 14 | 3 |
| American Indian | 1 | 3 |
Demographics Comparison: Pittsburg vs Spring park
- A higher percentage of Black residents are in Pittsburg at 15% compared to 9% in Spring park.
- The percentage of White residents is higher in Spring park at 82% compared to 9% in Pittsburg.
- The Asian population is larger in Pittsburg at 18% compared to 2% in Spring park.
- The Hispanic community is larger in Pittsburg at 43% compared to 1% in Spring park.
- More residents identify as two or more races in Pittsburg at 14% compared to 3% in Spring park.
- In Spring park, the percentage of American Indian residents is higher at 3%, compared to 1% in Pittsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Spring park |
|---|---|---|
| Mental Health Not Good | 15.8% | 13.4% |
| Physical Health Not Good | 11.8% | 7.1% |
| Depression | 16.7% | 23.7% |
| Smoking | 12.7% | 11.7% |
| Binge Drinking | 15.0% | 22.5% |
| Obesity | 28.4% | 26.0% |
| Disability Percentage | 13.0% | 22.0% |
Health Statistics Comparison: Pittsburg vs Spring park
- More residents in Pittsburg report poor mental health at 15.8% compared to 13.4% in Spring park.
- Higher depression rates are seen in Spring park at 23.7% versus 16.7% in Pittsburg.
- Smoking is more prevalent in Pittsburg at 12.7% compared to 11.7% in Spring park.
- More residents engage in binge drinking in Spring park at 22.5% compared to 15.0% in Pittsburg.
- Obesity rates are higher in Pittsburg at 28.4% compared to 26.0% in Spring park.
- There is a higher percentage of disabled individuals in Spring park at 22.0% compared to 13.0% in Pittsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Spring park |
|---|---|---|
| No Schooling | 3.1% (2,439) | 0.5% (9) |
| High School Diploma | 14.5% (11,263) | 27.8% (463) |
| Less than High School | 23.3% (18,048) | 12.0% (200) |
| Bachelor's Degree and Higher | 14.8% (11,476) | 29.1% (484) |
Education Levels Comparison: Pittsburg vs Spring park
- A higher percentage of residents in Pittsburg have no formal schooling at 3.1% compared to 0.5% in Spring park.
- In Spring park, the rate of residents with high school diplomas is higher at 27.8% compared to 14.5% in Pittsburg.
- More residents in Pittsburg have less than a high school education at 23.3% compared to 12.0% in Spring park.
- In Spring park, a larger share of residents have a bachelor's degree or higher at 29.1% compared to 14.8% in Pittsburg.
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.