Demographics details for Nevada, MO vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Nevada, MO vs Pittsburgh, PA.
| Data | Nevada | Pittsburgh |
|---|---|---|
| Population | 8,205 | 302,898 |
| Median Age | 38.4 years | 33.5 years |
| Median Income | $44,318 | $60,187 |
| Married Families | 28.0% | 26.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 3.4 | 3.4 |
Population Comparison: Nevada vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 8,205 in Nevada.
- Residents in Nevada have a higher median age of 38.4 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $44,318 in Nevada.
- A higher percentage of married families is found in Nevada at 28.0% compared to 26.0% in Pittsburgh.
- The poverty level is higher in Pittsburgh at 15%, compared to 14% in Nevada.
- The unemployment rate is the same in both Nevada and Pittsburgh at 3.4%.
Demographics
Demographics Nevada vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Nevada | Pittsburgh |
|---|---|---|
| Black | 1 | 23 |
| White | 90 | 62 |
| Asian | Data is updating | 6 |
| Hispanic | 4 | 4 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Nevada vs Pittsburgh
- In Pittsburgh, the percentage of Black residents is higher at 23% compared to 1% in Nevada.
- Nevada has a higher percentage of White residents at 90% compared to 62% in Pittsburgh.
- In Pittsburgh, the Asian population stands at 6%, greater than 0% in Nevada.
- The percentage of Hispanic residents is the same in both Nevada and Pittsburgh at 4%.
- Both Nevada and Pittsburgh have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Nevada and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nevada | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 20.7% | 16.3% |
| Physical Health Not Good | 15.1% | 11.7% |
| Depression | 26.7% | 21.1% |
| Smoking | 26.3% | 18.8% |
| Binge Drinking | 16.1% | 19.3% |
| Obesity | 38.5% | 35.0% |
| Disability Percentage | 19.0% | 14.0% |
Health Statistics Comparison: Nevada vs Pittsburgh
- More residents in Nevada report poor mental health at 20.7% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Nevada at 26.7% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Nevada at 26.3% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 16.1% in Nevada.
- Obesity rates are higher in Nevada at 38.5% compared to 35.0% in Pittsburgh.
- Disability percentages are higher in Nevada at 19.0% 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 | Nevada | Pittsburgh |
|---|---|---|
| No Schooling | 1.1% (89) | 0.6% (1,955) |
| High School Diploma | 20.8% (1,706) | 13.9% (42,015) |
| Less than High School | 14.1% (1,155) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 11.8% (972) | 32.1% (97,219) |
Education Levels Comparison: Nevada vs Pittsburgh
- A higher percentage of residents in Nevada have no formal schooling at 1.1% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Nevada hold a high school diploma at 20.8% compared to 13.9% in Pittsburgh.
- More residents in Nevada have less than a high school education at 14.1% 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 11.8% in Nevada.
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.