Demographics details for Panama city beach, FL vs Riverside, CA

Population Overview

Compare main population characteristics in Panama city beach, FL vs Riverside, CA.

Data Panama city beach Riverside
Population 19,056 320,764
Median Age 45.3 years 32.4 years
Median Income $76,091 $83,448
Married Families 42.0% 33.0%
Poverty Level 10% 12%
Unemployment Rate 4.1 4.9

Population Comparison: Panama city beach vs Riverside

  • The population in Riverside is higher at 320,764, compared to 19,056 in Panama city beach.
  • Residents in Panama city beach have a higher median age of 45.3 years compared to 32.4 years in Riverside.
  • Riverside has a higher median income of $83,448, compared to $76,091 in Panama city beach.
  • A higher percentage of married families is found in Panama city beach at 42.0% compared to 33.0% in Riverside.
  • The poverty level is higher in Riverside at 12%, compared to 10% in Panama city beach.
  • Riverside has a higher unemployment rate at 4.9% compared to 4.1% in Panama city beach.

Demographics

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

Demographic Panama city beach Riverside
Black 8 6
White 77 18
Asian 1 8
Hispanic 8 55
Two or More Races 5 12
American Indian 1 1

Demographics Comparison: Panama city beach vs Riverside

  • A higher percentage of Black residents are in Panama city beach at 8% compared to 6% in Riverside.
  • Panama city beach has a higher percentage of White residents at 77% compared to 18% in Riverside.
  • In Riverside, the Asian population stands at 8%, greater than 1% in Panama city beach.
  • Riverside has a higher percentage of Hispanic residents at 55%, compared to 8% in Panama city beach.
  • The percentage of residents identifying as two or more races is higher in Riverside at 12%, compared to 5% in Panama city beach.
  • The percentage of American Indian residents is the same in both Panama city beach and Riverside at 1%.

Health Statistics

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

Health Metric Panama city beach Riverside
Mental Health Not Good 15.6% 16.0%
Physical Health Not Good 9.7% 11.7%
Depression 20.9% 17.1%
Smoking 17.8% 13.2%
Binge Drinking 18.0% 16.1%
Obesity 27.3% 36.2%
Disability Percentage 12.0% 10.0%

Health Statistics Comparison: Panama city beach vs Riverside

  • In Riverside, a higher percentage report poor mental health at 16.0% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Panama city beach at 20.9% compared to 17.1% in Riverside.
  • Smoking is more prevalent in Panama city beach at 17.8% compared to 13.2% in Riverside.
  • Binge drinking is more common in Panama city beach at 18.0% compared to 16.1% in Riverside.
  • Riverside has higher obesity rates at 36.2% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Panama city beach at 12.0% compared to 10.0% in Riverside.

Education Levels

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

Education Level Panama city beach Riverside
No Schooling 1.4% (262) 2.0% (6,286)
High School Diploma 12.8% (2,447) 15.7% (50,271)
Less than High School 10.0% (1,899) 20.3% (64,976)
Bachelor's Degree and Higher 24.6% (4,680) 14.9% (47,929)

Education Levels Comparison: Panama city beach vs Riverside

  • In Riverside, a larger percentage of residents lack formal schooling at 2.0% compared to 1.4% in Panama city beach.
  • In Riverside, the rate of residents with high school diplomas is higher at 15.7% compared to 12.8% in Panama city beach.
  • The percentage of residents with less than a high school education is higher in Riverside at 20.3%, compared to 10.0% in Panama city beach.
  • A higher percentage of residents in Panama city beach hold a bachelor's degree or higher at 24.6% compared to 14.9% in Riverside.

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.