Demographics details for Panama city beach, FL vs Lexington, TN

Population Overview

Compare main population characteristics in Panama city beach, FL vs Lexington, TN.

Data Panama city beach Lexington
Population 19,056 7,952
Median Age 45.3 years 36.6 years
Median Income $76,091 $45,877
Married Families 42.0% 35.0%
Poverty Level 10% 13%
Unemployment Rate 4.1 4.2

Population Comparison: Panama city beach vs Lexington

  • In Panama city beach, the population is higher at 19,056, compared to 7,952 in Lexington.
  • Residents in Panama city beach have a higher median age of 45.3 years compared to 36.6 years in Lexington.
  • Panama city beach has a higher median income of $76,091 compared to $45,877 in Lexington.
  • A higher percentage of married families is found in Panama city beach at 42.0% compared to 35.0% in Lexington.
  • The poverty level is higher in Lexington at 13%, compared to 10% in Panama city beach.
  • Lexington has a higher unemployment rate at 4.2% compared to 4.1% in Panama city beach.

Demographics

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

Demographic Panama city beach Lexington
Black 8 17
White 77 81
Asian 1 Data is updating
Hispanic 8 1
Two or More Races 5 1
American Indian 1 Data is updating

Demographics Comparison: Panama city beach vs Lexington

  • In Lexington, the percentage of Black residents is higher at 17% compared to 8% in Panama city beach.
  • The percentage of White residents is higher in Lexington at 81% compared to 77% in Panama city beach.
  • The Asian population is larger in Panama city beach at 1% compared to 0% in Lexington.
  • The Hispanic community is larger in Panama city beach at 8% compared to 1% in Lexington.
  • More residents identify as two or more races in Panama city beach at 5% compared to 1% in Lexington.
  • A greater percentage of American Indian residents live in Panama city beach at 1% compared to 0% in Lexington.

Health Statistics

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

Health Metric Panama city beach Lexington
Mental Health Not Good 15.6% 21.6%
Physical Health Not Good 9.7% 15.3%
Depression 20.9% 30.4%
Smoking 17.8% 26.1%
Binge Drinking 18.0% 14.4%
Obesity 27.3% 39.9%
Disability Percentage 12.0% 14.0%

Health Statistics Comparison: Panama city beach vs Lexington

  • In Lexington, a higher percentage report poor mental health at 21.6% compared to 15.6% in Panama city beach.
  • Higher depression rates are seen in Lexington at 30.4% versus 20.9% in Panama city beach.
  • Lexington has a higher smoking rate at 26.1% compared to 17.8% in Panama city beach.
  • Binge drinking is more common in Panama city beach at 18.0% compared to 14.4% in Lexington.
  • Lexington has higher obesity rates at 39.9% compared to 27.3% in Panama city beach.
  • There is a higher percentage of disabled individuals in Lexington 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 Lexington
No Schooling 1.4% (262) 0.4% (29)
High School Diploma 12.8% (2,447) 22.4% (1,783)
Less than High School 10.0% (1,899) 14.6% (1,159)
Bachelor's Degree and Higher 24.6% (4,680) 9.3% (740)

Education Levels Comparison: Panama city beach vs Lexington

  • A higher percentage of residents in Panama city beach have no formal schooling at 1.4% compared to 0.4% in Lexington.
  • In Lexington, the rate of residents with high school diplomas is higher at 22.4% compared to 12.8% in Panama city beach.
  • The percentage of residents with less than a high school education is higher in Lexington at 14.6%, 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 9.3% in Lexington.

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.