Demographics details for Port charlotte, FL vs Riegelwood, NC

Population Overview

Compare main population characteristics in Port charlotte, FL vs Riegelwood, NC.

Data Port charlotte Riegelwood
Population 63,913 658
Median Age 55.6 years 54.2 years
Median Income $58,799 $42,452
Married Families 45.0% 59.0%
Poverty Level 11% 15%
Unemployment Rate 4.2 4.2

Population Comparison: Port charlotte vs Riegelwood

  • In Port charlotte, the population is higher at 63,913, compared to 658 in Riegelwood.
  • Residents in Port charlotte have a higher median age of 55.6 years compared to 54.2 years in Riegelwood.
  • Port charlotte has a higher median income of $58,799 compared to $42,452 in Riegelwood.
  • In Riegelwood, the percentage of married families is higher at 59.0%, compared to 45.0% in Port charlotte.
  • The poverty level is higher in Riegelwood at 15%, compared to 11% in Port charlotte.
  • The unemployment rate is the same in both Port charlotte and Riegelwood at 4.2%.

Demographics

Demographics Port charlotte vs Riegelwood provide insight into the diversity of the communities to compare.

Demographic Port charlotte Riegelwood
Black 7 26
White 71 60
Asian 2 Data is updating
Hispanic 12 4
Two or More Races 8 5
American Indian Data is updating 5

Demographics Comparison: Port charlotte vs Riegelwood

  • In Riegelwood, the percentage of Black residents is higher at 26% compared to 7% in Port charlotte.
  • Port charlotte has a higher percentage of White residents at 71% compared to 60% in Riegelwood.
  • The Asian population is larger in Port charlotte at 2% compared to 0% in Riegelwood.
  • The Hispanic community is larger in Port charlotte at 12% compared to 4% in Riegelwood.
  • More residents identify as two or more races in Port charlotte at 8% compared to 5% in Riegelwood.
  • In Riegelwood, the percentage of American Indian residents is higher at 5%, compared to 0% in Port charlotte.

Health Statistics

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

Health Metric Port charlotte Riegelwood
Mental Health Not Good 17.2% 17.9%
Physical Health Not Good 11.9% 12.8%
Depression 20.7% 24.7%
Smoking 22.0% 21.1%
Binge Drinking 16.6% 16.6%
Obesity 31.0% 40.7%
Disability Percentage 23.0% 22.0%

Health Statistics Comparison: Port charlotte vs Riegelwood

  • In Riegelwood, a higher percentage report poor mental health at 17.9% compared to 17.2% in Port charlotte.
  • Higher depression rates are seen in Riegelwood at 24.7% versus 20.7% in Port charlotte.
  • Smoking is more prevalent in Port charlotte at 22.0% compared to 21.1% in Riegelwood.
  • Binge drinking rates are similar in both Port charlotte and Riegelwood at 16.6%.
  • Riegelwood has higher obesity rates at 40.7% compared to 31.0% in Port charlotte.
  • Disability percentages are higher in Port charlotte at 23.0% compared to 22.0% in Riegelwood.

Education Levels

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

Education Level Port charlotte Riegelwood
No Schooling 1.4% (901) 0.0% (Data is updating)
High School Diploma 24.2% (15,437) 47.6% (313)
Less than High School 14.7% (9,408) 2.1% (14)
Bachelor's Degree and Higher 16.0% (10,215) 2.7% (18)

Education Levels Comparison: Port charlotte vs Riegelwood

  • A higher percentage of residents in Port charlotte have no formal schooling at 1.4% compared to 0.0% in Riegelwood.
  • In Riegelwood, the rate of residents with high school diplomas is higher at 47.6% compared to 24.2% in Port charlotte.
  • More residents in Port charlotte have less than a high school education at 14.7% compared to 2.1% in Riegelwood.
  • A higher percentage of residents in Port charlotte hold a bachelor's degree or higher at 16.0% compared to 2.7% in Riegelwood.

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.