Demographics details for New haven, MO vs Pittsburgh, PA
Population Overview
Compare main population characteristics in New haven, MO vs Pittsburgh, PA.
| Data | New haven | Pittsburgh |
|---|---|---|
| Population | 2,409 | 302,898 |
| Median Age | 31.2 years | 33.5 years |
| Median Income | $66,410 | $60,187 |
| Married Families | 60.0% | 26.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 2.5 | 3.4 |
Population Comparison: New haven vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 2,409 in New haven.
- The median age in Pittsburgh is higher at 33.5 years, compared to 31.2 years in New haven.
- New haven has a higher median income of $66,410 compared to $60,187 in Pittsburgh.
- A higher percentage of married families is found in New haven at 60.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 10% in New haven.
- Pittsburgh has a higher unemployment rate at 3.4% compared to 2.5% in New haven.
Demographics
Demographics New haven vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | New haven | Pittsburgh |
|---|---|---|
| Black | 1 | 23 |
| White | 76 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | 12 | 4 |
| Two or More Races | 11 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: New haven vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 1% in New haven.
- New haven has a higher percentage of White residents at 76% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in New haven.
- The Hispanic community is larger in New haven at 12% compared to 4% in Pittsburgh.
- More residents identify as two or more races in New haven at 11% compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both New haven and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New haven | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.3% |
| Physical Health Not Good | 10.8% | 11.7% |
| Depression | 24.7% | 21.1% |
| Smoking | 18.0% | 18.8% |
| Binge Drinking | 20.0% | 19.3% |
| Obesity | 36.6% | 35.0% |
| Disability Percentage | 24.0% | 14.0% |
Health Statistics Comparison: New haven vs Pittsburgh
- More residents in New haven report poor mental health at 16.7% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in New haven at 24.7% compared to 21.1% in Pittsburgh.
- Pittsburgh has a higher smoking rate at 18.8% compared to 18.0% in New haven.
- Binge drinking is more common in New haven at 20.0% compared to 19.3% in Pittsburgh.
- Obesity rates are higher in New haven at 36.6% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in New haven at 24.0% 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 | New haven | Pittsburgh |
|---|---|---|
| No Schooling | 0.2% (5) | 0.6% (1,955) |
| High School Diploma | 19.7% (475) | 13.9% (42,015) |
| Less than High School | 12.2% (293) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 24.8% (598) | 32.1% (97,219) |
Education Levels Comparison: New haven vs Pittsburgh
- In Pittsburgh, a larger percentage of residents lack formal schooling at 0.6% compared to 0.2% in New haven.
- A higher percentage of residents in New haven hold a high school diploma at 19.7% compared to 13.9% in Pittsburgh.
- More residents in New haven have less than a high school education at 12.2% 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 24.8% in New haven.
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.