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.