Demographics details for Springfield, IL vs Panama city beach, FL

Population Overview

Compare main population characteristics in Springfield, IL vs Panama city beach, FL.

Data Springfield Panama city beach
Population 113,273 19,056
Median Age 40.1 years 45.3 years
Median Income $62,419 $76,091
Married Families 33.0% 42.0%
Poverty Level 12% 10%
Unemployment Rate 5.8 4.1

Population Comparison: Springfield vs Panama city beach

  • In Springfield, the population is higher at 113,273, compared to 19,056 in Panama city beach.
  • The median age in Panama city beach is higher at 45.3 years, compared to 40.1 years in Springfield.
  • Panama city beach has a higher median income of $76,091, compared to $62,419 in Springfield.
  • In Panama city beach, the percentage of married families is higher at 42.0%, compared to 33.0% in Springfield.
  • Springfield has a higher poverty level at 12% compared to 10% in Panama city beach.
  • The unemployment rate in Springfield is higher at 5.8%, compared to 4.1% in Panama city beach.

Demographics

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

Demographic Springfield Panama city beach
Black 20 8
White 69 77
Asian 3 1
Hispanic 3 8
Two or More Races 5 5
American Indian Data is updating 1

Demographics Comparison: Springfield vs Panama city beach

  • A higher percentage of Black residents are in Springfield at 20% compared to 8% in Panama city beach.
  • The percentage of White residents is higher in Panama city beach at 77% compared to 69% in Springfield.
  • The Asian population is larger in Springfield at 3% compared to 1% in Panama city beach.
  • Panama city beach has a higher percentage of Hispanic residents at 8%, compared to 3% in Springfield.
  • Both Springfield 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 Springfield.

Health Statistics

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

Health Metric Springfield Panama city beach
Mental Health Not Good 16.3% 15.6%
Physical Health Not Good 11.5% 9.7%
Depression 21.5% 20.9%
Smoking 17.8% 17.8%
Binge Drinking 17.4% 18.0%
Obesity 36.1% 27.3%
Disability Percentage 15.0% 12.0%

Health Statistics Comparison: Springfield vs Panama city beach

  • More residents in Springfield report poor mental health at 16.3% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Springfield at 21.5% compared to 20.9% in Panama city beach.
  • Smoking rates are the same in both Springfield and Panama city beach at 17.8%.
  • More residents engage in binge drinking in Panama city beach at 18.0% compared to 17.4% in Springfield.
  • Obesity rates are higher in Springfield at 36.1% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Springfield at 15.0% 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 Springfield Panama city beach
No Schooling 0.5% (542) 1.4% (262)
High School Diploma 16.4% (18,528) 12.8% (2,447)
Less than High School 8.9% (10,102) 10.0% (1,899)
Bachelor's Degree and Higher 24.4% (27,677) 24.6% (4,680)

Education Levels Comparison: Springfield vs Panama city beach

  • In Panama city beach, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Springfield.
  • A higher percentage of residents in Springfield hold a high school diploma at 16.4% 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 8.9% in Springfield.
  • In Panama city beach, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 24.4% in Springfield.

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.