Demographics details for Chippewa lake, OH vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Chippewa lake, OH vs Pittsburgh, PA.
| Data | Chippewa lake | Pittsburgh |
|---|---|---|
| Population | 658 | 302,898 |
| Median Age | 53.6 years | 33.5 years |
| Median Income | $79,333 | $60,187 |
| Married Families | 51.0% | 26.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Chippewa lake vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 658 in Chippewa lake.
- Residents in Chippewa lake have a higher median age of 53.6 years compared to 33.5 years in Pittsburgh.
- Chippewa lake has a higher median income of $79,333 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in Chippewa lake at 51.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 5% in Chippewa lake.
- The unemployment rate in Chippewa lake is higher at 3.5%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Chippewa lake vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Chippewa lake | Pittsburgh |
|---|---|---|
| Black | Data is updating | 23 |
| White | 95 | 62 |
| Asian | 1 | 6 |
| Hispanic | 2 | 4 |
| Two or More Races | 2 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chippewa lake vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 0% in Chippewa lake.
- Chippewa lake has a higher percentage of White residents at 95% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 1% in Chippewa lake.
- Pittsburgh has a higher percentage of Hispanic residents at 4%, compared to 2% in Chippewa lake.
- The percentage of residents identifying as two or more races is higher in Pittsburgh at 5%, compared to 2% in Chippewa lake.
- The percentage of American Indian residents is the same in both Chippewa lake and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chippewa lake | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 17.2% | 16.3% |
| Physical Health Not Good | 10.8% | 11.7% |
| Depression | 23.1% | 21.1% |
| Smoking | 19.5% | 18.8% |
| Binge Drinking | 19.1% | 19.3% |
| Obesity | 39.6% | 35.0% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Chippewa lake vs Pittsburgh
- More residents in Chippewa lake report poor mental health at 17.2% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Chippewa lake at 23.1% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Chippewa lake at 19.5% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 19.1% in Chippewa lake.
- Obesity rates are higher in Chippewa lake at 39.6% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Chippewa lake at 20.0% compared to 14.0% in Pittsburgh.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chippewa lake | Pittsburgh |
|---|---|---|
| No Schooling | 0.3% (2) | 0.6% (1,955) |
| High School Diploma | 29.6% (195) | 13.9% (42,015) |
| Less than High School | 7.9% (52) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 19.5% (128) | 32.1% (97,219) |
Education Levels Comparison: Chippewa lake vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Chippewa lake.
- A higher percentage of residents in Chippewa lake hold a high school diploma at 29.6% compared to 13.9% in Pittsburgh.
- More residents in Chippewa lake have less than a high school education at 7.9% compared to 6.6% in Pittsburgh.
- In Pittsburgh, a larger share of residents have a bachelor's degree or higher at 32.1% compared to 19.5% in Chippewa lake.
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.