Demographics details for Ravenna, MI vs Panama city beach, FL

Population Overview

Compare main population characteristics in Ravenna, MI vs Panama city beach, FL.

Data Ravenna Panama city beach
Population 1,348 19,056
Median Age 32.6 years 45.3 years
Median Income $70,208 $76,091
Married Families 47.0% 42.0%
Poverty Level 11% 10%
Unemployment Rate 4.5 4.1

Population Comparison: Ravenna vs Panama city beach

  • The population in Panama city beach is higher at 19,056, compared to 1,348 in Ravenna.
  • The median age in Panama city beach is higher at 45.3 years, compared to 32.6 years in Ravenna.
  • Panama city beach has a higher median income of $76,091, compared to $70,208 in Ravenna.
  • A higher percentage of married families is found in Ravenna at 47.0% compared to 42.0% in Panama city beach.
  • Ravenna has a higher poverty level at 11% compared to 10% in Panama city beach.
  • The unemployment rate in Ravenna is higher at 4.5%, compared to 4.1% in Panama city beach.

Demographics

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

Demographic Ravenna Panama city beach
Black Data is updating 8
White 85 77
Asian Data is updating 1
Hispanic 9 8
Two or More Races 6 5
American Indian Data is updating 1

Demographics Comparison: Ravenna vs Panama city beach

  • In Panama city beach, the percentage of Black residents is higher at 8% compared to 0% in Ravenna.
  • Ravenna has a higher percentage of White residents at 85% compared to 77% in Panama city beach.
  • In Panama city beach, the Asian population stands at 1%, greater than 0% in Ravenna.
  • The Hispanic community is larger in Ravenna at 9% compared to 8% in Panama city beach.
  • More residents identify as two or more races in Ravenna 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 Ravenna.

Health Statistics

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

Health Metric Ravenna Panama city beach
Mental Health Not Good 17.5% 15.6%
Physical Health Not Good 11.2% 9.7%
Depression 25.4% 20.9%
Smoking 18.4% 17.8%
Binge Drinking 19.5% 18.0%
Obesity 39.6% 27.3%
Disability Percentage 9.0% 12.0%

Health Statistics Comparison: Ravenna vs Panama city beach

  • More residents in Ravenna report poor mental health at 17.5% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Ravenna at 25.4% compared to 20.9% in Panama city beach.
  • Smoking is more prevalent in Ravenna at 18.4% compared to 17.8% in Panama city beach.
  • Binge drinking is more common in Ravenna at 19.5% compared to 18.0% in Panama city beach.
  • Obesity rates are higher in Ravenna at 39.6% compared to 27.3% in Panama city beach.
  • There is a higher percentage of disabled individuals in Panama city beach at 12.0% compared to 9.0% in Ravenna.

Education Levels

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

Education Level Ravenna Panama city beach
No Schooling 0.4% (6) 1.4% (262)
High School Diploma 21.8% (294) 12.8% (2,447)
Less than High School 7.4% (100) 10.0% (1,899)
Bachelor's Degree and Higher 17.8% (240) 24.6% (4,680)

Education Levels Comparison: Ravenna vs Panama city beach

  • In Panama city beach, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Ravenna.
  • A higher percentage of residents in Ravenna hold a high school diploma at 21.8% 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 7.4% in Ravenna.
  • In Panama city beach, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 17.8% in Ravenna.

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.