Demographics details for Downey, CA vs Petersburg, PA
Population Overview
Compare main population characteristics in Downey, CA vs Petersburg, PA.
| Data | Downey | Petersburg |
|---|---|---|
| Population | 109,934 | 412 |
| Median Age | 36.5 years | 39.8 years |
| Median Income | $84,236 | $58,125 |
| Married Families | 36.0% | 30.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 5.6 | 5.2 |
Population Comparison: Downey vs Petersburg
- In Downey, the population is higher at 109,934, compared to 412 in Petersburg.
- The median age in Petersburg is higher at 39.8 years, compared to 36.5 years in Downey.
- Downey has a higher median income of $84,236 compared to $58,125 in Petersburg.
- A higher percentage of married families is found in Downey at 36.0% compared to 30.0% in Petersburg.
- Downey has a higher poverty level at 12% compared to 8% in Petersburg.
- The unemployment rate in Downey is higher at 5.6%, compared to 5.2% in Petersburg.
Demographics
Demographics Downey vs Petersburg provide insight into the diversity of the communities to compare.
| Demographic | Downey | Petersburg |
|---|---|---|
| Black | 4 | Data is updating |
| White | -7 | 98 |
| Asian | 7 | Data is updating |
| Hispanic | 76 | Data is updating |
| Two or More Races | 19 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Downey vs Petersburg
- A higher percentage of Black residents are in Downey at 4% compared to 0% in Petersburg.
- The percentage of White residents is higher in Petersburg at 98% compared to -7% in Downey.
- The Asian population is larger in Downey at 7% compared to 0% in Petersburg.
- The Hispanic community is larger in Downey at 76% compared to 0% in Petersburg.
- More residents identify as two or more races in Downey at 19% compared to 2% in Petersburg.
- A greater percentage of American Indian residents live in Downey at 1% compared to 0% in Petersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Downey | Petersburg |
|---|---|---|
| Mental Health Not Good | 14.8% | 18.6% |
| Physical Health Not Good | 11.2% | 12.7% |
| Depression | 15.3% | 24.5% |
| Smoking | 9.9% | 22.3% |
| Binge Drinking | 15.6% | 18.6% |
| Obesity | 29.4% | 38.1% |
| Disability Percentage | 10.0% | 18.0% |
Health Statistics Comparison: Downey vs Petersburg
- In Petersburg, a higher percentage report poor mental health at 18.6% compared to 14.8% in Downey.
- Higher depression rates are seen in Petersburg at 24.5% versus 15.3% in Downey.
- Petersburg has a higher smoking rate at 22.3% compared to 9.9% in Downey.
- More residents engage in binge drinking in Petersburg at 18.6% compared to 15.6% in Downey.
- Petersburg has higher obesity rates at 38.1% compared to 29.4% in Downey.
- There is a higher percentage of disabled individuals in Petersburg at 18.0% compared to 10.0% in Downey.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Downey | Petersburg |
|---|---|---|
| No Schooling | 3.2% (3,558) | 0.5% (2) |
| High School Diploma | 15.9% (17,437) | 35.2% (145) |
| Less than High School | 26.9% (29,528) | 15.0% (62) |
| Bachelor's Degree and Higher | 17.6% (19,359) | 1.5% (6) |
Education Levels Comparison: Downey vs Petersburg
- A higher percentage of residents in Downey have no formal schooling at 3.2% compared to 0.5% in Petersburg.
- In Petersburg, the rate of residents with high school diplomas is higher at 35.2% compared to 15.9% in Downey.
- More residents in Downey have less than a high school education at 26.9% compared to 15.0% in Petersburg.
- A higher percentage of residents in Downey hold a bachelor's degree or higher at 17.6% compared to 1.5% in Petersburg.
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.