Demographics details for Maple, NC vs Panama city beach, FL

Population Overview

Compare main population characteristics in Maple, NC vs Panama city beach, FL.

Data Maple Panama city beach
Population 32 19,056
Median Age 40.0 years 45.3 years
Median Income $50,000 $76,091
Married Families 15.0% 42.0%
Poverty Level 10% 10%
Unemployment Rate 5.0 4.1

Population Comparison: Maple vs Panama city beach

  • The population in Panama city beach is higher at 19,056, compared to 32 in Maple.
  • The median age in Panama city beach is higher at 45.3 years, compared to 40.0 years in Maple.
  • Panama city beach has a higher median income of $76,091, compared to $50,000 in Maple.
  • In Panama city beach, the percentage of married families is higher at 42.0%, compared to 15.0% in Maple.
  • The poverty level is identical in both Maple and Panama city beach at 10%.
  • The unemployment rate in Maple is higher at 5.0%, compared to 4.1% in Panama city beach.

Demographics

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

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

Demographics Comparison: Maple vs Panama city beach

  • In Panama city beach, the percentage of Black residents is higher at 8% compared to 5% in Maple.
  • Maple has a higher percentage of White residents at 85% compared to 77% in Panama city beach.
  • The Asian population is larger in Maple at 5% compared to 1% in Panama city beach.
  • Panama city beach has a higher percentage of Hispanic residents at 8%, compared to 5% in Maple.
  • The percentage of residents identifying as two or more races is higher in Panama city beach at 5%, compared to 0% in Maple.
  • In Panama city beach, the percentage of American Indian residents is higher at 1%, compared to 0% in Maple.

Health Statistics

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

Health Metric Maple Panama city beach
Mental Health Not Good Data is updating% 15.6%
Physical Health Not Good Data is updating% 9.7%
Depression Data is updating% 20.9%
Smoking Data is updating% 17.8%
Binge Drinking Data is updating% 18.0%
Obesity Data is updating% 27.3%
Disability Percentage Data is updating% 12.0%

Health Statistics Comparison: Maple vs Panama city beach

  • In Panama city beach, a higher percentage report poor mental health at 15.6% compared to 0.0% in Maple.
  • Higher depression rates are seen in Panama city beach at 20.9% versus 0.0% in Maple.
  • Panama city beach has a higher smoking rate at 17.8% compared to 0.0% in Maple.
  • More residents engage in binge drinking in Panama city beach at 18.0% compared to 0.0% in Maple.
  • Panama city beach has higher obesity rates at 27.3% compared to 0.0% in Maple.
  • There is a higher percentage of disabled individuals in Panama city beach at 12.0% compared to 0.0% in Maple.

Education Levels

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

Education Level Maple Panama city beach
No Schooling 0.0% (Data is updating) 1.4% (262)
High School Diploma 0.0% (Data is updating) 12.8% (2,447)
Less than High School 0.0% (Data is updating) 10.0% (1,899)
Bachelor's Degree and Higher 0.0% (Data is updating) 24.6% (4,680)

Education Levels Comparison: Maple vs Panama city beach

  • In Panama city beach, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Maple.
  • In Panama city beach, the rate of residents with high school diplomas is higher at 12.8% compared to 0.0% in Maple.
  • The percentage of residents with less than a high school education is higher in Panama city beach at 10.0%, compared to 0.0% in Maple.
  • In Panama city beach, a larger share of residents have a bachelor's degree or higher at 24.6% compared to 0.0% in Maple.

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.