Demographics details for Panama city beach, FL vs Milford, CT

Population Overview

Compare main population characteristics in Panama city beach, FL vs Milford, CT.

Data Panama city beach Milford
Population 19,056 50,471
Median Age 45.3 years 46.6 years
Median Income $76,091 $104,503
Married Families 42.0% 45.0%
Poverty Level 10% 5%
Unemployment Rate 4.1 4.2

Population Comparison: Panama city beach vs Milford

  • The population in Milford is higher at 50,471, compared to 19,056 in Panama city beach.
  • The median age in Milford is higher at 46.6 years, compared to 45.3 years in Panama city beach.
  • Milford has a higher median income of $104,503, compared to $76,091 in Panama city beach.
  • In Milford, the percentage of married families is higher at 45.0%, compared to 42.0% in Panama city beach.
  • Panama city beach has a higher poverty level at 10% compared to 5% in Milford.
  • Milford has a higher unemployment rate at 4.2% compared to 4.1% in Panama city beach.

Demographics

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

Demographic Panama city beach Milford
Black 8 2
White 77 79
Asian 1 5
Hispanic 8 8
Two or More Races 5 6
American Indian 1 Data is updating

Demographics Comparison: Panama city beach vs Milford

  • A higher percentage of Black residents are in Panama city beach at 8% compared to 2% in Milford.
  • The percentage of White residents is higher in Milford at 79% compared to 77% in Panama city beach.
  • In Milford, the Asian population stands at 5%, greater than 1% in Panama city beach.
  • The percentage of Hispanic residents is the same in both Panama city beach and Milford at 8%.
  • The percentage of residents identifying as two or more races is higher in Milford at 6%, 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 Milford.

Health Statistics

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

Health Metric Panama city beach Milford
Mental Health Not Good 15.6% 13.2%
Physical Health Not Good 9.7% 7.9%
Depression 20.9% 20.5%
Smoking 17.8% 12.7%
Binge Drinking 18.0% 17.0%
Obesity 27.3% 27.5%
Disability Percentage 12.0% 10.0%

Health Statistics Comparison: Panama city beach vs Milford

  • More residents in Panama city beach report poor mental health at 15.6% compared to 13.2% in Milford.
  • Depression is more prevalent in Panama city beach at 20.9% compared to 20.5% in Milford.
  • Smoking is more prevalent in Panama city beach at 17.8% compared to 12.7% in Milford.
  • Binge drinking is more common in Panama city beach at 18.0% compared to 17.0% in Milford.
  • Milford has higher obesity rates at 27.5% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Panama city beach at 12.0% compared to 10.0% in Milford.

Education Levels

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

Education Level Panama city beach Milford
No Schooling 1.4% (262) 0.7% (366)
High School Diploma 12.8% (2,447) 16.7% (8,431)
Less than High School 10.0% (1,899) 6.6% (3,307)
Bachelor's Degree and Higher 24.6% (4,680) 36.0% (18,184)

Education Levels Comparison: Panama city beach vs Milford

  • A higher percentage of residents in Panama city beach have no formal schooling at 1.4% compared to 0.7% in Milford.
  • In Milford, the rate of residents with high school diplomas is higher at 16.7% 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 6.6% in Milford.
  • In Milford, a larger share of residents have a bachelor's degree or higher at 36.0% 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.