Demographics details for Lafayette, LA vs Pittsburgh, PA
Population Overview
Compare main population characteristics in Lafayette, LA vs Pittsburgh, PA.
| Data | Lafayette | Pittsburgh |
|---|---|---|
| Population | 121,389 | 302,898 |
| Median Age | 36.9 years | 33.5 years |
| Median Income | $58,850 | $60,187 |
| Married Families | 35.0% | 26.0% |
| Poverty Level | 18% | 15% |
| Unemployment Rate | 4.1 | 3.4 |
Population Comparison: Lafayette vs Pittsburgh
- The population in Pittsburgh is higher at 302,898, compared to 121,389 in Lafayette.
- Residents in Lafayette have a higher median age of 36.9 years compared to 33.5 years in Pittsburgh.
- Pittsburgh has a higher median income of $60,187, compared to $58,850 in Lafayette.
- A higher percentage of married families is found in Lafayette at 35.0% compared to 26.0% in Pittsburgh.
- Lafayette has a higher poverty level at 18% compared to 15% in Pittsburgh.
- The unemployment rate in Lafayette is higher at 4.1%, compared to 3.4% in Pittsburgh.
Demographics
Demographics Lafayette vs Pittsburgh provide insight into the diversity of the communities to compare.
| Demographic | Lafayette | Pittsburgh |
|---|---|---|
| Black | 29 | 23 |
| White | 58 | 62 |
| Asian | 2 | 6 |
| Hispanic | 5 | 4 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lafayette vs Pittsburgh
- A higher percentage of Black residents are in Lafayette at 29% compared to 23% in Pittsburgh.
- The percentage of White residents is higher in Pittsburgh at 62% compared to 58% in Lafayette.
- In Pittsburgh, the Asian population stands at 6%, greater than 2% in Lafayette.
- The Hispanic community is larger in Lafayette at 5% compared to 4% in Pittsburgh.
- More residents identify as two or more races in Lafayette at 6% compared to 5% in Pittsburgh.
- The percentage of American Indian residents is the same in both Lafayette and Pittsburgh at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lafayette | Pittsburgh |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.3% |
| Physical Health Not Good | 12.3% | 11.7% |
| Depression | 26.4% | 21.1% |
| Smoking | 20.0% | 18.8% |
| Binge Drinking | 18.9% | 19.3% |
| Obesity | 40.0% | 35.0% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Lafayette vs Pittsburgh
- More residents in Lafayette report poor mental health at 18.3% compared to 16.3% in Pittsburgh.
- Depression is more prevalent in Lafayette at 26.4% compared to 21.1% in Pittsburgh.
- Smoking is more prevalent in Lafayette at 20.0% compared to 18.8% in Pittsburgh.
- More residents engage in binge drinking in Pittsburgh at 19.3% compared to 18.9% in Lafayette.
- Obesity rates are higher in Lafayette at 40.0% compared to 35.0% in Pittsburgh.
- There is a higher percentage of disabled individuals in Pittsburgh at 14.0% compared to 12.0% in Lafayette.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lafayette | Pittsburgh |
|---|---|---|
| No Schooling | 0.7% (803) | 0.6% (1,955) |
| High School Diploma | 14.8% (17,954) | 13.9% (42,015) |
| Less than High School | 8.9% (10,815) | 6.6% (20,087) |
| Bachelor's Degree and Higher | 27.4% (33,262) | 32.1% (97,219) |
Education Levels Comparison: Lafayette vs Pittsburgh
- A higher percentage of residents in Lafayette have no formal schooling at 0.7% compared to 0.6% in Pittsburgh.
- A higher percentage of residents in Lafayette hold a high school diploma at 14.8% compared to 13.9% in Pittsburgh.
- More residents in Lafayette have less than a high school education at 8.9% 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 27.4% in Lafayette.
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.