Demographics details for Folsom, PA vs Grand prairie, TX

Population Overview

Compare main population characteristics in Folsom, PA vs Grand prairie, TX.

Data Folsom Grand prairie
Population 8,535 201,843
Median Age 37.5 years 33.7 years
Median Income $95,048 $76,626
Married Families 41.0% 38.0%
Poverty Level 5% 14%
Unemployment Rate 3.6 4.5

Population Comparison: Folsom vs Grand prairie

  • The population in Grand prairie is higher at 201,843, compared to 8,535 in Folsom.
  • Residents in Folsom have a higher median age of 37.5 years compared to 33.7 years in Grand prairie.
  • Folsom has a higher median income of $95,048 compared to $76,626 in Grand prairie.
  • A higher percentage of married families is found in Folsom at 41.0% compared to 38.0% in Grand prairie.
  • The poverty level is higher in Grand prairie at 14%, compared to 5% in Folsom.
  • Grand prairie has a higher unemployment rate at 4.5% compared to 3.6% in Folsom.

Demographics

Demographics Folsom vs Grand prairie provide insight into the diversity of the communities to compare.

Demographic Folsom Grand prairie
Black 5 23
White 89 9
Asian Data is updating 7
Hispanic 4 46
Two or More Races 2 14
American Indian Data is updating 1

Demographics Comparison: Folsom vs Grand prairie

  • In Grand prairie, the percentage of Black residents is higher at 23% compared to 5% in Folsom.
  • Folsom has a higher percentage of White residents at 89% compared to 9% in Grand prairie.
  • In Grand prairie, the Asian population stands at 7%, greater than 0% in Folsom.
  • Grand prairie has a higher percentage of Hispanic residents at 46%, compared to 4% in Folsom.
  • The percentage of residents identifying as two or more races is higher in Grand prairie at 14%, compared to 2% in Folsom.
  • In Grand prairie, the percentage of American Indian residents is higher at 1%, compared to 0% in Folsom.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Folsom Grand prairie
Mental Health Not Good 15.5% 16.5%
Physical Health Not Good 9.8% 12.0%
Depression 22.1% 21.4%
Smoking 16.1% 16.1%
Binge Drinking 18.5% 17.3%
Obesity 31.2% 34.9%
Disability Percentage 10.0% 9.0%

Health Statistics Comparison: Folsom vs Grand prairie

  • In Grand prairie, a higher percentage report poor mental health at 16.5% compared to 15.5% in Folsom.
  • Depression is more prevalent in Folsom at 22.1% compared to 21.4% in Grand prairie.
  • Smoking rates are the same in both Folsom and Grand prairie at 16.1%.
  • Binge drinking is more common in Folsom at 18.5% compared to 17.3% in Grand prairie.
  • Grand prairie has higher obesity rates at 34.9% compared to 31.2% in Folsom.
  • Disability percentages are higher in Folsom at 10.0% compared to 9.0% in Grand prairie.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Folsom Grand prairie
No Schooling 0.8% (71) 2.2% (4,493)
High School Diploma 19.2% (1,635) 12.9% (26,069)
Less than High School 10.1% (860) 21.3% (43,014)
Bachelor's Degree and Higher 20.5% (1,751) 16.4% (33,151)

Education Levels Comparison: Folsom vs Grand prairie

  • In Grand prairie, a larger percentage of residents lack formal schooling at 2.2% compared to 0.8% in Folsom.
  • A higher percentage of residents in Folsom hold a high school diploma at 19.2% compared to 12.9% in Grand prairie.
  • The percentage of residents with less than a high school education is higher in Grand prairie at 21.3%, compared to 10.1% in Folsom.
  • A higher percentage of residents in Folsom hold a bachelor's degree or higher at 20.5% compared to 16.4% in Grand prairie.

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.