Demographics details for Siloam springs, AR vs Panama city beach, FL

Population Overview

Compare main population characteristics in Siloam springs, AR vs Panama city beach, FL.

Data Siloam springs Panama city beach
Population 18,654 19,056
Median Age 30.1 years 45.3 years
Median Income $59,911 $76,091
Married Families 38.0% 42.0%
Poverty Level 13% 10%
Unemployment Rate 3.5 4.1

Population Comparison: Siloam springs vs Panama city beach

  • The population in Panama city beach is higher at 19,056, compared to 18,654 in Siloam springs.
  • The median age in Panama city beach is higher at 45.3 years, compared to 30.1 years in Siloam springs.
  • Panama city beach has a higher median income of $76,091, compared to $59,911 in Siloam springs.
  • In Panama city beach, the percentage of married families is higher at 42.0%, compared to 38.0% in Siloam springs.
  • Siloam springs has a higher poverty level at 13% compared to 10% in Panama city beach.
  • Panama city beach has a higher unemployment rate at 4.1% compared to 3.5% in Siloam springs.

Demographics

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

Demographic Siloam springs Panama city beach
Black 1 8
White 50 77
Asian 3 1
Hispanic 23 8
Two or More Races 20 5
American Indian 3 1

Demographics Comparison: Siloam springs vs Panama city beach

  • In Panama city beach, the percentage of Black residents is higher at 8% compared to 1% in Siloam springs.
  • The percentage of White residents is higher in Panama city beach at 77% compared to 50% in Siloam springs.
  • The Asian population is larger in Siloam springs at 3% compared to 1% in Panama city beach.
  • The Hispanic community is larger in Siloam springs at 23% compared to 8% in Panama city beach.
  • More residents identify as two or more races in Siloam springs at 20% compared to 5% in Panama city beach.
  • A greater percentage of American Indian residents live in Siloam springs at 3% compared to 1% in Panama city beach.

Health Statistics

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

Health Metric Siloam springs Panama city beach
Mental Health Not Good 20.0% 15.6%
Physical Health Not Good 15.0% 9.7%
Depression 26.0% 20.9%
Smoking 21.6% 17.8%
Binge Drinking 14.9% 18.0%
Obesity 39.2% 27.3%
Disability Percentage 13.0% 12.0%

Health Statistics Comparison: Siloam springs vs Panama city beach

  • More residents in Siloam springs report poor mental health at 20.0% compared to 15.6% in Panama city beach.
  • Depression is more prevalent in Siloam springs at 26.0% compared to 20.9% in Panama city beach.
  • Smoking is more prevalent in Siloam springs at 21.6% compared to 17.8% in Panama city beach.
  • More residents engage in binge drinking in Panama city beach at 18.0% compared to 14.9% in Siloam springs.
  • Obesity rates are higher in Siloam springs at 39.2% compared to 27.3% in Panama city beach.
  • Disability percentages are higher in Siloam springs 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 Siloam springs Panama city beach
No Schooling 3.7% (681) 1.4% (262)
High School Diploma 13.5% (2,510) 12.8% (2,447)
Less than High School 17.4% (3,249) 10.0% (1,899)
Bachelor's Degree and Higher 14.4% (2,680) 24.6% (4,680)

Education Levels Comparison: Siloam springs vs Panama city beach

  • A higher percentage of residents in Siloam springs have no formal schooling at 3.7% compared to 1.4% in Panama city beach.
  • A higher percentage of residents in Siloam springs hold a high school diploma at 13.5% compared to 12.8% in Panama city beach.
  • More residents in Siloam springs have less than a high school education at 17.4% 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 14.4% in Siloam springs.

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.