Demographics details for Pittsburg, KS vs Long beach, CA
Population Overview
Compare main population characteristics in Pittsburg, KS vs Long beach, CA.
| Data | Pittsburg | Long beach |
|---|---|---|
| Population | 20,658 | 451,307 |
| Median Age | 25.7 years | 36.1 years |
| Median Income | $42,371 | $78,995 |
| Married Families | 28.0% | 32.0% |
| Poverty Level | 23% | 18% |
| Unemployment Rate | 3.1 | 6.0 |
Population Comparison: Pittsburg vs Long beach
- The population in Long beach is higher at 451,307, compared to 20,658 in Pittsburg.
- The median age in Long beach is higher at 36.1 years, compared to 25.7 years in Pittsburg.
- Long beach has a higher median income of $78,995, compared to $42,371 in Pittsburg.
- In Long beach, the percentage of married families is higher at 32.0%, compared to 28.0% in Pittsburg.
- Pittsburg has a higher poverty level at 23% compared to 18% in Long beach.
- Long beach has a higher unemployment rate at 6.0% compared to 3.1% in Pittsburg.
Demographics
Demographics Pittsburg vs Long beach provide insight into the diversity of the communities to compare.
| Demographic | Pittsburg | Long beach |
|---|---|---|
| Black | 3 | 12 |
| White | 78 | 17 |
| Asian | 3 | 13 |
| Hispanic | 11 | 45 |
| Two or More Races | 5 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pittsburg vs Long beach
- In Long beach, the percentage of Black residents is higher at 12% compared to 3% in Pittsburg.
- Pittsburg has a higher percentage of White residents at 78% compared to 17% in Long beach.
- In Long beach, the Asian population stands at 13%, greater than 3% in Pittsburg.
- Long beach has a higher percentage of Hispanic residents at 45%, compared to 11% in Pittsburg.
- The percentage of residents identifying as two or more races is higher in Long beach at 12%, compared to 5% in Pittsburg.
- In Long beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Pittsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pittsburg | Long beach |
|---|---|---|
| Mental Health Not Good | 19.3% | 16.0% |
| Physical Health Not Good | 12.5% | 11.6% |
| Depression | 25.0% | 16.2% |
| Smoking | 23.9% | 12.0% |
| Binge Drinking | 19.7% | 14.9% |
| Obesity | 43.5% | 29.3% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Pittsburg vs Long beach
- More residents in Pittsburg report poor mental health at 19.3% compared to 16.0% in Long beach.
- Depression is more prevalent in Pittsburg at 25.0% compared to 16.2% in Long beach.
- Smoking is more prevalent in Pittsburg at 23.9% compared to 12.0% in Long beach.
- Binge drinking is more common in Pittsburg at 19.7% compared to 14.9% in Long beach.
- Obesity rates are higher in Pittsburg at 43.5% compared to 29.3% in Long beach.
- Disability percentages are higher in Pittsburg at 16.0% compared to 11.0% in Long beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pittsburg | Long beach |
|---|---|---|
| No Schooling | 0.7% (150) | 4.6% (20,870) |
| High School Diploma | 13.0% (2,686) | 11.0% (49,640) |
| Less than High School | 5.9% (1,222) | 23.7% (106,838) |
| Bachelor's Degree and Higher | 17.2% (3,562) | 23.8% (107,451) |
Education Levels Comparison: Pittsburg vs Long beach
- In Long beach, a larger percentage of residents lack formal schooling at 4.6% compared to 0.7% in Pittsburg.
- A higher percentage of residents in Pittsburg hold a high school diploma at 13.0% compared to 11.0% in Long beach.
- The percentage of residents with less than a high school education is higher in Long beach at 23.7%, compared to 5.9% in Pittsburg.
- In Long beach, a larger share of residents have a bachelor's degree or higher at 23.8% compared to 17.2% 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.