Demographics details for Pascagoula, MS vs Cross plains, TX
Population Overview
Compare main population characteristics in Pascagoula, MS vs Cross plains, TX.
Data | Pascagoula | Cross plains |
---|---|---|
Population | 21,650 | 926 |
Median Age | 34.8 years | 28.3 years |
Median Income | $41,679 | $48,516 |
Married Families | 28.0% | 47.0% |
Poverty Level | 16% | 13% |
Unemployment Rate | 3.8 | 4.2 |
Population Comparison: Pascagoula vs Cross plains
- In Pascagoula, the population is higher at 21,650, compared to 926 in Cross plains.
- Residents in Pascagoula have a higher median age of 34.8 years compared to 28.3 years in Cross plains.
- Cross plains has a higher median income of $48,516, compared to $41,679 in Pascagoula.
- In Cross plains, the percentage of married families is higher at 47.0%, compared to 28.0% in Pascagoula.
- Pascagoula has a higher poverty level at 16% compared to 13% in Cross plains.
- Cross plains has a higher unemployment rate at 4.2% compared to 3.8% in Pascagoula.
Demographics
Demographics Pascagoula vs Cross plains provide insight into the diversity of the communities to compare.
Demographic | Pascagoula | Cross plains |
---|---|---|
Black | 37 | Data is updating |
White | 45 | 90 |
Asian | 1 | Data is updating |
Hispanic | 13 | 6 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pascagoula vs Cross plains
- A higher percentage of Black residents are in Pascagoula at 37% compared to 0% in Cross plains.
- The percentage of White residents is higher in Cross plains at 90% compared to 45% in Pascagoula.
- The Asian population is larger in Pascagoula at 1% compared to 0% in Cross plains.
- The Hispanic community is larger in Pascagoula at 13% compared to 6% in Cross plains.
- Both Pascagoula and Cross plains have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Pascagoula and Cross plains at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pascagoula | Cross plains |
---|---|---|
Mental Health Not Good | 17.5% | 18.3% |
Physical Health Not Good | 13.2% | 11.8% |
Depression | 22.5% | 25.7% |
Smoking | 20.8% | 18.1% |
Binge Drinking | 14.2% | 19.6% |
Obesity | 38.9% | 36.1% |
Disability Percentage | 16.0% | 32.0% |
Health Statistics Comparison: Pascagoula vs Cross plains
- In Cross plains, a higher percentage report poor mental health at 18.3% compared to 17.5% in Pascagoula.
- Higher depression rates are seen in Cross plains at 25.7% versus 22.5% in Pascagoula.
- Smoking is more prevalent in Pascagoula at 20.8% compared to 18.1% in Cross plains.
- More residents engage in binge drinking in Cross plains at 19.6% compared to 14.2% in Pascagoula.
- Obesity rates are higher in Pascagoula at 38.9% compared to 36.1% in Cross plains.
- There is a higher percentage of disabled individuals in Cross plains at 32.0% 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 | Pascagoula | Cross plains |
---|---|---|
No Schooling | 1.1% (237) | 0.1% (1) |
High School Diploma | 15.1% (3,262) | 19.3% (179) |
Less than High School | 12.2% (2,644) | 6.0% (56) |
Bachelor's Degree and Higher | 11.6% (2,521) | 9.2% (85) |
Education Levels Comparison: Pascagoula vs Cross plains
- A higher percentage of residents in Pascagoula have no formal schooling at 1.1% compared to 0.1% in Cross plains.
- In Cross plains, the rate of residents with high school diplomas is higher at 19.3% compared to 15.1% in Pascagoula.
- More residents in Pascagoula have less than a high school education at 12.2% compared to 6.0% in Cross plains.
- A higher percentage of residents in Pascagoula hold a bachelor's degree or higher at 11.6% compared to 9.2% in Cross plains.
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.