Demographics details for Evansville, IN vs Pascagoula, MS
Population Overview
Compare main population characteristics in Evansville, IN vs Pascagoula, MS.
Data | Evansville | Pascagoula |
---|---|---|
Population | 115,749 | 21,650 |
Median Age | 38.1 years | 34.8 years |
Median Income | $49,853 | $41,679 |
Married Families | 33.0% | 28.0% |
Poverty Level | 13% | 16% |
Unemployment Rate | 4.4 | 3.8 |
Population Comparison: Evansville vs Pascagoula
- In Evansville, the population is higher at 115,749, compared to 21,650 in Pascagoula.
- Residents in Evansville have a higher median age of 38.1 years compared to 34.8 years in Pascagoula.
- Evansville has a higher median income of $49,853 compared to $41,679 in Pascagoula.
- A higher percentage of married families is found in Evansville at 33.0% compared to 28.0% in Pascagoula.
- The poverty level is higher in Pascagoula at 16%, compared to 13% in Evansville.
- The unemployment rate in Evansville is higher at 4.4%, compared to 3.8% in Pascagoula.
Demographics
Demographics Evansville vs Pascagoula provide insight into the diversity of the communities to compare.
Demographic | Evansville | Pascagoula |
---|---|---|
Black | 14 | 37 |
White | 76 | 45 |
Asian | 1 | 1 |
Hispanic | 4 | 13 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Evansville vs Pascagoula
- In Pascagoula, the percentage of Black residents is higher at 37% compared to 14% in Evansville.
- Evansville has a higher percentage of White residents at 76% compared to 45% in Pascagoula.
- Both Evansville and Pascagoula have the same percentage of Asian residents at 1%.
- Pascagoula has a higher percentage of Hispanic residents at 13%, compared to 4% in Evansville.
- More residents identify as two or more races in Evansville at 5% compared to 4% in Pascagoula.
- The percentage of American Indian residents is the same in both Evansville and Pascagoula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Evansville | Pascagoula |
---|---|---|
Mental Health Not Good | 19.5% | 17.5% |
Physical Health Not Good | 13.8% | 13.2% |
Depression | 27.6% | 22.5% |
Smoking | 23.2% | 20.8% |
Binge Drinking | 15.9% | 14.2% |
Obesity | 44.3% | 38.9% |
Disability Percentage | 18.0% | 16.0% |
Health Statistics Comparison: Evansville vs Pascagoula
- More residents in Evansville report poor mental health at 19.5% compared to 17.5% in Pascagoula.
- Depression is more prevalent in Evansville at 27.6% compared to 22.5% in Pascagoula.
- Smoking is more prevalent in Evansville at 23.2% compared to 20.8% in Pascagoula.
- Binge drinking is more common in Evansville at 15.9% compared to 14.2% in Pascagoula.
- Obesity rates are higher in Evansville at 44.3% compared to 38.9% in Pascagoula.
- Disability percentages are higher in Evansville at 18.0% compared to 16.0% in Pascagoula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Evansville | Pascagoula |
---|---|---|
No Schooling | 0.8% (939) | 1.1% (237) |
High School Diploma | 20.0% (23,144) | 15.1% (3,262) |
Less than High School | 13.6% (15,701) | 12.2% (2,644) |
Bachelor's Degree and Higher | 15.7% (18,125) | 11.6% (2,521) |
Education Levels Comparison: Evansville vs Pascagoula
- In Pascagoula, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Evansville.
- A higher percentage of residents in Evansville hold a high school diploma at 20.0% compared to 15.1% in Pascagoula.
- More residents in Evansville have less than a high school education at 13.6% compared to 12.2% in Pascagoula.
- A higher percentage of residents in Evansville hold a bachelor's degree or higher at 15.7% compared to 11.6% in Pascagoula.
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.