Demographics details for Beacon, IA vs Panama city beach, FL

Population Overview

Compare main population characteristics in Beacon, IA vs Panama city beach, FL.

Data Beacon Panama city beach
Population 430 19,056
Median Age 39.6 years 45.3 years
Median Income $54,250 $76,091
Married Families 44.0% 42.0%
Poverty Level 8% 10%
Unemployment Rate 3.5 4.1

Population Comparison: Beacon vs Panama city beach

  • The population in Panama city beach is higher at 19,056, compared to 430 in Beacon.
  • The median age in Panama city beach is higher at 45.3 years, compared to 39.6 years in Beacon.
  • Panama city beach has a higher median income of $76,091, compared to $54,250 in Beacon.
  • A higher percentage of married families is found in Beacon at 44.0% compared to 42.0% in Panama city beach.
  • The poverty level is higher in Panama city beach at 10%, compared to 8% in Beacon.
  • Panama city beach has a higher unemployment rate at 4.1% compared to 3.5% in Beacon.

Demographics

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

Demographic Beacon Panama city beach
Black 3 8
White 88 77
Asian 3 1
Hispanic Data is updating 8
Two or More Races 6 5
American Indian Data is updating 1

Demographics Comparison: Beacon vs Panama city beach

  • In Panama city beach, the percentage of Black residents is higher at 8% compared to 3% in Beacon.
  • Beacon has a higher percentage of White residents at 88% compared to 77% in Panama city beach.
  • The Asian population is larger in Beacon at 3% compared to 1% in Panama city beach.
  • Panama city beach has a higher percentage of Hispanic residents at 8%, compared to 0% in Beacon.
  • More residents identify as two or more races in Beacon at 6% compared to 5% in Panama city beach.
  • In Panama city beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Beacon.

Health Statistics

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

Health Metric Beacon Panama city beach
Mental Health Not Good 15.4% 15.6%
Physical Health Not Good 9.8% 9.7%
Depression 18.4% 20.9%
Smoking 18.5% 17.8%
Binge Drinking 21.4% 18.0%
Obesity 38.1% 27.3%
Disability Percentage 13.0% 12.0%

Health Statistics Comparison: Beacon vs Panama city beach

  • In Panama city beach, a higher percentage report poor mental health at 15.6% compared to 15.4% in Beacon.
  • Higher depression rates are seen in Panama city beach at 20.9% versus 18.4% in Beacon.
  • Smoking is more prevalent in Beacon at 18.5% compared to 17.8% in Panama city beach.
  • Binge drinking is more common in Beacon at 21.4% compared to 18.0% in Panama city beach.
  • Obesity rates are higher in Beacon at 38.1% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Beacon 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 Beacon Panama city beach
No Schooling 0.2% (1) 1.4% (262)
High School Diploma 26.3% (113) 12.8% (2,447)
Less than High School 18.4% (79) 10.0% (1,899)
Bachelor's Degree and Higher 6.0% (26) 24.6% (4,680)

Education Levels Comparison: Beacon vs Panama city beach

  • In Panama city beach, a larger percentage of residents lack formal schooling at 1.4% compared to 0.2% in Beacon.
  • A higher percentage of residents in Beacon hold a high school diploma at 26.3% compared to 12.8% in Panama city beach.
  • More residents in Beacon have less than a high school education at 18.4% compared to 10.0% in Panama city beach.
  • In Panama city beach, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 6.0% in Beacon.

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.