Demographics details for Pittsburg, CA vs Forest lake, MN
Population Overview
Compare main population characteristics in Pittsburg, CA vs Forest lake, MN.
| Data | Pittsburg | Forest lake |
|---|---|---|
| Population | 77,572 | 20,857 |
| Median Age | 35.2 years | 37.9 years |
| Median Income | $98,408 | $91,157 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | Data is updating | 6% |
| Unemployment Rate | 5.3 | 3.2 |
Population Comparison: Pittsburg vs Forest lake
- In Pittsburg, the population is higher at 77,572, compared to 20,857 in Forest lake.
- The median age in Forest lake is higher at 37.9 years, compared to 35.2 years in Pittsburg.
- Pittsburg has a higher median income of $98,408 compared to $91,157 in Forest lake.
- In Forest lake, the percentage of married families is higher at 42.0%, compared to 37.0% in Pittsburg.
- The poverty level is higher in Forest lake at 6%, compared to 0% in Pittsburg.
- The unemployment rate in Pittsburg is higher at 5.3%, compared to 3.2% in Forest lake.
Demographics
Demographics Pittsburg vs Forest lake provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Forest lake |
|---|---|---|
| Black | 15 | 3 |
| White | 9 | 81 |
| Asian | 18 | 4 |
| Hispanic | 43 | 6 |
| Two or More Races | 14 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pittsburg vs Forest lake
- A higher percentage of Black residents are in Pittsburg at 15% compared to 3% in Forest lake.
- The percentage of White residents is higher in Forest lake at 81% compared to 9% in Pittsburg.
- The Asian population is larger in Pittsburg at 18% compared to 4% in Forest lake.
- The Hispanic community is larger in Pittsburg at 43% compared to 6% in Forest lake.
- More residents identify as two or more races in Pittsburg at 14% compared to 6% in Forest lake.
- A greater percentage of American Indian residents live in Pittsburg at 1% compared to 0% in Forest lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Forest lake |
|---|---|---|
| Mental Health Not Good | 15.8% | 14.7% |
| Physical Health Not Good | 11.8% | 8.8% |
| Depression | 16.7% | 24.1% |
| Smoking | 12.7% | 15.7% |
| Binge Drinking | 15.0% | 21.4% |
| Obesity | 28.4% | 32.9% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Pittsburg vs Forest lake
- More residents in Pittsburg report poor mental health at 15.8% compared to 14.7% in Forest lake.
- Higher depression rates are seen in Forest lake at 24.1% versus 16.7% in Pittsburg.
- Forest lake has a higher smoking rate at 15.7% compared to 12.7% in Pittsburg.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 15.0% in Pittsburg.
- Forest lake has higher obesity rates at 32.9% compared to 28.4% in Pittsburg.
- Disability percentages are higher in Pittsburg at 13.0% compared to 10.0% in Forest lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Forest lake |
|---|---|---|
| No Schooling | 3.1% (2,439) | 0.5% (101) |
| High School Diploma | 14.5% (11,263) | 14.6% (3,055) |
| Less than High School | 23.3% (18,048) | 7.7% (1,615) |
| Bachelor's Degree and Higher | 14.8% (11,476) | 24.6% (5,123) |
Education Levels Comparison: Pittsburg vs Forest lake
- A higher percentage of residents in Pittsburg have no formal schooling at 3.1% compared to 0.5% in Forest lake.
- In Forest lake, the rate of residents with high school diplomas is higher at 14.6% compared to 14.5% in Pittsburg.
- More residents in Pittsburg have less than a high school education at 23.3% compared to 7.7% in Forest lake.
- In Forest lake, a larger share of residents have a bachelor's degree or higher at 24.6% 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.