Demographics details for Panama city beach, FL vs Pasadena, MD

Population Overview

Compare main population characteristics in Panama city beach, FL vs Pasadena, MD.

Data Panama city beach Pasadena
Population 19,056 32,161
Median Age 45.3 years 35.1 years
Median Income $76,091 $113,944
Married Families 42.0% 43.0%
Poverty Level 10% 6%
Unemployment Rate 4.1 4.5

Population Comparison: Panama city beach vs Pasadena

  • The population in Pasadena is higher at 32,161, compared to 19,056 in Panama city beach.
  • Residents in Panama city beach have a higher median age of 45.3 years compared to 35.1 years in Pasadena.
  • Pasadena has a higher median income of $113,944, compared to $76,091 in Panama city beach.
  • In Pasadena, the percentage of married families is higher at 43.0%, compared to 42.0% in Panama city beach.
  • Panama city beach has a higher poverty level at 10% compared to 6% in Pasadena.
  • Pasadena has a higher unemployment rate at 4.5% compared to 4.1% in Panama city beach.

Demographics

Demographics Panama city beach vs Pasadena provide insight into the diversity of the communities to compare.

Demographic Panama city beach Pasadena
Black 8 17
White 77 66
Asian 1 4
Hispanic 8 7
Two or More Races 5 6
American Indian 1 Data is updating

Demographics Comparison: Panama city beach vs Pasadena

  • In Pasadena, the percentage of Black residents is higher at 17% compared to 8% in Panama city beach.
  • Panama city beach has a higher percentage of White residents at 77% compared to 66% in Pasadena.
  • In Pasadena, the Asian population stands at 4%, greater than 1% in Panama city beach.
  • The Hispanic community is larger in Panama city beach at 8% compared to 7% in Pasadena.
  • The percentage of residents identifying as two or more races is higher in Pasadena at 6%, compared to 5% in Panama city beach.
  • A greater percentage of American Indian residents live in Panama city beach at 1% compared to 0% in Pasadena.

Health Statistics

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

Health Metric Panama city beach Pasadena
Mental Health Not Good 15.6% 15.4%
Physical Health Not Good 9.7% 9.3%
Depression 20.9% 21.4%
Smoking 17.8% 13.2%
Binge Drinking 18.0% 17.8%
Obesity 27.3% 35.6%
Disability Percentage 12.0% 10.0%

Health Statistics Comparison: Panama city beach vs Pasadena

  • More residents in Panama city beach report poor mental health at 15.6% compared to 15.4% in Pasadena.
  • Higher depression rates are seen in Pasadena at 21.4% versus 20.9% in Panama city beach.
  • Smoking is more prevalent in Panama city beach at 17.8% compared to 13.2% in Pasadena.
  • Binge drinking is more common in Panama city beach at 18.0% compared to 17.8% in Pasadena.
  • Pasadena has higher obesity rates at 35.6% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Panama city beach at 12.0% compared to 10.0% in Pasadena.

Education Levels

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

Education Level Panama city beach Pasadena
No Schooling 1.4% (262) 0.6% (191)
High School Diploma 12.8% (2,447) 17.5% (5,624)
Less than High School 10.0% (1,899) 8.8% (2,835)
Bachelor's Degree and Higher 24.6% (4,680) 23.8% (7,658)

Education Levels Comparison: Panama city beach vs Pasadena

  • A higher percentage of residents in Panama city beach have no formal schooling at 1.4% compared to 0.6% in Pasadena.
  • In Pasadena, the rate of residents with high school diplomas is higher at 17.5% compared to 12.8% in Panama city beach.
  • More residents in Panama city beach have less than a high school education at 10.0% compared to 8.8% in Pasadena.
  • A higher percentage of residents in Panama city beach hold a bachelor's degree or higher at 24.6% compared to 23.8% in Pasadena.

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.