Demographics details for Panama city beach, FL vs Waterville, OH

Population Overview

Compare main population characteristics in Panama city beach, FL vs Waterville, OH.

Data Panama city beach Waterville
Population 19,056 6,013
Median Age 45.3 years 40.9 years
Median Income $76,091 $101,473
Married Families 42.0% 44.0%
Poverty Level 10% Data is updating
Unemployment Rate 4.1 3.2

Population Comparison: Panama city beach vs Waterville

  • In Panama city beach, the population is higher at 19,056, compared to 6,013 in Waterville.
  • Residents in Panama city beach have a higher median age of 45.3 years compared to 40.9 years in Waterville.
  • Waterville has a higher median income of $101,473, compared to $76,091 in Panama city beach.
  • In Waterville, the percentage of married families is higher at 44.0%, compared to 42.0% in Panama city beach.
  • Panama city beach has a higher poverty level at 10% compared to 0% in Waterville.
  • The unemployment rate in Panama city beach is higher at 4.1%, compared to 3.2% in Waterville.

Demographics

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

Demographic Panama city beach Waterville
Black 8 1
White 77 79
Asian 1 2
Hispanic 8 8
Two or More Races 5 10
American Indian 1 Data is updating

Demographics Comparison: Panama city beach vs Waterville

  • A higher percentage of Black residents are in Panama city beach at 8% compared to 1% in Waterville.
  • The percentage of White residents is higher in Waterville at 79% compared to 77% in Panama city beach.
  • In Waterville, the Asian population stands at 2%, greater than 1% in Panama city beach.
  • The percentage of Hispanic residents is the same in both Panama city beach and Waterville at 8%.
  • The percentage of residents identifying as two or more races is higher in Waterville at 10%, 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 Waterville.

Health Statistics

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

Health Metric Panama city beach Waterville
Mental Health Not Good 15.6% 14.8%
Physical Health Not Good 9.7% 8.1%
Depression 20.9% 22.5%
Smoking 17.8% 12.6%
Binge Drinking 18.0% 19.0%
Obesity 27.3% 33.8%
Disability Percentage 12.0% 12.0%

Health Statistics Comparison: Panama city beach vs Waterville

  • More residents in Panama city beach report poor mental health at 15.6% compared to 14.8% in Waterville.
  • Higher depression rates are seen in Waterville at 22.5% versus 20.9% in Panama city beach.
  • Smoking is more prevalent in Panama city beach at 17.8% compared to 12.6% in Waterville.
  • More residents engage in binge drinking in Waterville at 19.0% compared to 18.0% in Panama city beach.
  • Waterville has higher obesity rates at 33.8% compared to 27.3% in Panama city beach.
  • Disability percentages are the same in both Panama city beach and Waterville at 12.0%.

Education Levels

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

Education Level Panama city beach Waterville
No Schooling 1.4% (262) 0.0% (3)
High School Diploma 12.8% (2,447) 15.4% (924)
Less than High School 10.0% (1,899) 4.4% (265)
Bachelor's Degree and Higher 24.6% (4,680) 33.1% (1,988)

Education Levels Comparison: Panama city beach vs Waterville

  • A higher percentage of residents in Panama city beach have no formal schooling at 1.4% compared to 0.0% in Waterville.
  • In Waterville, the rate of residents with high school diplomas is higher at 15.4% 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 4.4% in Waterville.
  • In Waterville, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 24.6% in Panama city beach.

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.