Demographics details for Carlisle, IN vs Panama city beach, FL

Population Overview

Compare main population characteristics in Carlisle, IN vs Panama city beach, FL.

Data Carlisle Panama city beach
Population 618 19,056
Median Age 52.6 years 45.3 years
Median Income $49,250 $76,091
Married Families 36.0% 42.0%
Poverty Level 9% 10%
Unemployment Rate 3.2 4.1

Population Comparison: Carlisle vs Panama city beach

  • The population in Panama city beach is higher at 19,056, compared to 618 in Carlisle.
  • Residents in Carlisle have a higher median age of 52.6 years compared to 45.3 years in Panama city beach.
  • Panama city beach has a higher median income of $76,091, compared to $49,250 in Carlisle.
  • In Panama city beach, the percentage of married families is higher at 42.0%, compared to 36.0% in Carlisle.
  • The poverty level is higher in Panama city beach at 10%, compared to 9% in Carlisle.
  • Panama city beach has a higher unemployment rate at 4.1% compared to 3.2% in Carlisle.

Demographics

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

Demographic Carlisle Panama city beach
Black 2 8
White 93 77
Asian Data is updating 1
Hispanic Data is updating 8
Two or More Races 5 5
American Indian Data is updating 1

Demographics Comparison: Carlisle vs Panama city beach

  • In Panama city beach, the percentage of Black residents is higher at 8% compared to 2% in Carlisle.
  • Carlisle has a higher percentage of White residents at 93% compared to 77% in Panama city beach.
  • In Panama city beach, the Asian population stands at 1%, greater than 0% in Carlisle.
  • Panama city beach has a higher percentage of Hispanic residents at 8%, compared to 0% in Carlisle.
  • Both Carlisle and Panama city beach have the same percentage of residents identifying as two or more races at 5%.
  • In Panama city beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Carlisle.

Health Statistics

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

Health Metric Carlisle Panama city beach
Mental Health Not Good 19.1% 15.6%
Physical Health Not Good 13.5% 9.7%
Depression 27.0% 20.9%
Smoking 24.1% 17.8%
Binge Drinking 16.7% 18.0%
Obesity 37.0% 27.3%
Disability Percentage 13.0% 12.0%

Health Statistics Comparison: Carlisle vs Panama city beach

  • More residents in Carlisle report poor mental health at 19.1% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Carlisle at 27.0% compared to 20.9% in Panama city beach.
  • Smoking is more prevalent in Carlisle at 24.1% compared to 17.8% in Panama city beach.
  • More residents engage in binge drinking in Panama city beach at 18.0% compared to 16.7% in Carlisle.
  • Obesity rates are higher in Carlisle at 37.0% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Carlisle at 13.0% 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 Carlisle Panama city beach
No Schooling 0.5% (3) 1.4% (262)
High School Diploma 28.8% (178) 12.8% (2,447)
Less than High School 3.9% (24) 10.0% (1,899)
Bachelor's Degree and Higher 6.0% (37) 24.6% (4,680)

Education Levels Comparison: Carlisle vs Panama city beach

  • In Panama city beach, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Carlisle.
  • A higher percentage of residents in Carlisle hold a high school diploma at 28.8% compared to 12.8% in Panama city beach.
  • The percentage of residents with less than a high school education is higher in Panama city beach at 10.0%, compared to 3.9% in Carlisle.
  • In Panama city beach, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 6.0% in Carlisle.

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.