Demographics details for Panama city beach, FL vs Rupert, ID

Population Overview

Compare main population characteristics in Panama city beach, FL vs Rupert, ID.

Data Panama city beach Rupert
Population 19,056 6,238
Median Age 45.3 years 34.1 years
Median Income $76,091 $53,348
Married Families 42.0% 38.0%
Poverty Level 10% 12%
Unemployment Rate 4.1 4.1

Population Comparison: Panama city beach vs Rupert

  • In Panama city beach, the population is higher at 19,056, compared to 6,238 in Rupert.
  • Residents in Panama city beach have a higher median age of 45.3 years compared to 34.1 years in Rupert.
  • Panama city beach has a higher median income of $76,091 compared to $53,348 in Rupert.
  • A higher percentage of married families is found in Panama city beach at 42.0% compared to 38.0% in Rupert.
  • The poverty level is higher in Rupert at 12%, compared to 10% in Panama city beach.
  • The unemployment rate is the same in both Panama city beach and Rupert at 4.1%.

Demographics

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

Demographic Panama city beach Rupert
Black 8 Data is updating
White 77 39
Asian 1 Data is updating
Hispanic 8 47
Two or More Races 5 13
American Indian 1 1

Demographics Comparison: Panama city beach vs Rupert

  • A higher percentage of Black residents are in Panama city beach at 8% compared to 0% in Rupert.
  • Panama city beach has a higher percentage of White residents at 77% compared to 39% in Rupert.
  • The Asian population is larger in Panama city beach at 1% compared to 0% in Rupert.
  • Rupert has a higher percentage of Hispanic residents at 47%, compared to 8% in Panama city beach.
  • The percentage of residents identifying as two or more races is higher in Rupert at 13%, compared to 5% in Panama city beach.
  • The percentage of American Indian residents is the same in both Panama city beach and Rupert at 1%.

Health Statistics

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

Health Metric Panama city beach Rupert
Mental Health Not Good 15.6% 17.5%
Physical Health Not Good 9.7% 14.9%
Depression 20.9% 23.0%
Smoking 17.8% 20.0%
Binge Drinking 18.0% 14.0%
Obesity 27.3% 39.7%
Disability Percentage 12.0% 14.0%

Health Statistics Comparison: Panama city beach vs Rupert

  • In Rupert, a higher percentage report poor mental health at 17.5% compared to 15.6% in Panama city beach.
  • Higher depression rates are seen in Rupert at 23.0% versus 20.9% in Panama city beach.
  • Rupert has a higher smoking rate at 20.0% compared to 17.8% in Panama city beach.
  • Binge drinking is more common in Panama city beach at 18.0% compared to 14.0% in Rupert.
  • Rupert has higher obesity rates at 39.7% compared to 27.3% in Panama city beach.
  • There is a higher percentage of disabled individuals in Rupert at 14.0% compared to 12.0% in Panama city beach.

Education Levels

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

Education Level Panama city beach Rupert
No Schooling 1.4% (262) 1.7% (107)
High School Diploma 12.8% (2,447) 16.8% (1,046)
Less than High School 10.0% (1,899) 25.5% (1,589)
Bachelor's Degree and Higher 24.6% (4,680) 5.7% (354)

Education Levels Comparison: Panama city beach vs Rupert

  • In Rupert, a larger percentage of residents lack formal schooling at 1.7% compared to 1.4% in Panama city beach.
  • In Rupert, the rate of residents with high school diplomas is higher at 16.8% compared to 12.8% in Panama city beach.
  • The percentage of residents with less than a high school education is higher in Rupert at 25.5%, 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 5.7% in Rupert.

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.